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ORCID39th AAAI 2025: Philadelphia, PA, USA
- Toby Walsh, Julie Shah, Zico Kolter:
AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA. AAAI Press 2025, ISBN 978-1-57735-897-8
Technical Tracks 1
- Seokho Ahn, Hyungjin Kim, Sungbok Shin, Young-Duk Seo:
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series. 3-11 - Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo, Sankalp Nayak:
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale. 12-20 - Feiyang Cai, Chuchu Fan, Stanley Bak:
Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling. 21-30 - Biwei Cao, Qihang Wu, Jiuxin Cao, Bo Liu, Jie Gui:
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection. 31-39 - Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song:
Holistic Semantic Representation for Navigational Trajectory Generation. 40-48 - Jipeng Cen, Jiaxin Liu, Zhixu Li, Jingjing Wang:
SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration. 49-57 - Geng Chen, Wuyuan Xie, Di Lin, Ye Liu, Miaohui Wang:
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion. 58-66 - Jie Chen
, Liangmin Wang, Huijuan Zhu, Victor S. Sheng:
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection. 67-74 - Xiaocan Chen, Qilin Yin, Jiarui Liu, Wei Lu, Xiangyang Luo, Jiantao Zhou:
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection. 75-83 - Zhe Chen, Zhe Fang, Wenhao Tian, Zhaoguang Long, Changzhi Sun, Yuefeng Chen, Hao Yuan, Honglin Li, Man Lan:
ReactGPT: Understanding of Chemical Reactions via In-Context Tuning. 84-92 - Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi:
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance. 93-101 - Xiaoxia Cheng, Zeqi Tan, Zhe Zheng, Weiming Lu:
G2LDetect: A Global-to-Local Approach for Hallucination Detection. 102-109 - Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee:
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. 110-118 - Muzhi Dai, Zhuoer Dong, Weining Fu, Kui Xu, Qiangfeng Cliff Zhang:
CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps. 119-127 - Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen:
Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning. 128-136 - Chao Deng, Hongdong Li, Jianxin Wang:
Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association. 137-145 - Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao, Igal Brener, Laura P. Swiler, Rémi Dingreville, Prasad P. Iyer:
AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery. 146-154 - Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang:
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction. 155-163 - Zhiang Dong, Jingyuan Chen, Fei Wu:
Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis. 164-172 - Yitong Duan, Weiran Wang, Jian Li:
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction. 173-181 - Haodong Feng, Yue Wang, Dixia Fan:
How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation. 182-190 - Myles Foley, Sergio Maffeis:
APIRL: Deep Reinforcement Learning for REST API Fuzzing. 191-199 - Daniel Freedman, Eyal Rozenberg, Alex M. Bronstein:
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation. 200-209 - Lihao Gan, Xin Man, Chenghong Zhang, Jie Shao:
EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts. 210-218 - Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li:
FoldToken: Learning Protein Language via Vector Quantization and Beyond. 219-227 - Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. 228-236 - Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen:
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning. 237-245 - Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen:
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction. 246-254 - Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye:
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. 255-263 - Zehua Han, Jing Xiao, Qirui Zhao, Zhexuan Cui, Yufeng Wang, Duona Zhang, Wenrui Ding:
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning. 264-272 - Harish Haresamudram, Apoorva Beedu, Mashfiqui Rabbi, Sankalita Saha, Irfan Essa, Thomas Ploetz:
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them. 273-281 - Meixia He, Peican Zhu, Keke Tang, Yangming Guo:
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges. 282-290 - Qiang He, Yunting Bao, Hui Fang, Yuting Lin, Hao Sun:
HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network. 291-299 - Chia-Tung Ho, Haoxing Ren, Brucek Khailany:
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool. 300-307 - Tran Thai Hoa, Tran Quang Duy, Khanh Quoc Tran, Kiet Van Nguyen:
ViFactCheck: A New Benchmark Dataset and Methods for Multi-Domain News Fact-Checking In Vietnamese. 308-316 - Jingjing Hu, Dan Guo, Zhan Si, Deguang Liu, Yunfeng Diao, Jing Zhang, Jinxing Zhou, Meng Wang:
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights. 317-325 - Xinlei Huang, Zhiqi Ma, Dian Meng, Yanran Liu, Shiwei Ruan, Qingqiang Sun, Xubin Zheng, Ziyue Qiao:
PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis. 326-333 - Yinxuan Huang, Ke Liang, Yanyi Huang, Xiang Zeng, Kai Chen, Bin Zhou:
Social Recommendation via Graph-Level Counterfactual Augmentation. 334-342 - Zhiheng Huang, Yannan Liu, Daojing He, Yu Li:
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models. 343-351 - Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. 352-360 - Sizhuo Jin, Shuo Chen, Jianjun Qian, Ying Tai, Jun Li:
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory. 361-369 - Feifei Kou, Yuhan Yao, Siyuan Yao, Jiahao Wang, Lei Shi, Yawen Li, Xuejing Kang:
IWRN: A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack. 370-378 - Yao Lai, Sungyoung Lee, Guojin Chen, Souradip Poddar, Mengkang Hu, David Z. Pan, Ping Luo:
AnalogCoder: Analog Circuit Design via Training-Free Code Generation. 379-387 - Hao Li, Ruoyuan Gong, Hao Jiang:
Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models. 388-396 - Haoran Li, Yulin Chen, Zihao Zheng, Qi Hu, Chunkit Chan, Heshan Liu, Yangqiu Song:
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models. 397-405 - Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthelemy, Jun Shen, Min Xu:
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. 406-414 - Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou:
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. 415-423 - Kai Li, Wenqi Ren, Jianshu Li, Wei Wang, Xiaochun Cao:
Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection. 424-432 - Mingxin Li, Yuchen Zhang, Haowei Xu, Xianghua Li, Chao Gao, Zhen Wang:
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference. 433-441 - Tian Li, Xiao-Yue Xu, Chen Ding, Tian-Ci Tian, Wei-You Liao, Shuo Zhang, He-Liang Huang:
AI-Powered Algorithm-Centric Quantum Processor Topology Design. 442-450 - Zhiting Li, Shibai Yin, Tai-Xiang Jiang, Yexun Hu, Jia-Mian Wu, Guowei Yang, Guisong Liu:
Enhancing the Adversarial Robustness via Manifold Projection. 451-459 - Zhufeng Li, Sandeep Suresh Cranganore, Nicholas D. Youngblut, Niki Kilbertus:
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity. 460-469 - Zongwei Li, Xiaoqi Li, Wenkai Li, Xin Wang:
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs. 470-477 - Yuqi Liang, Jun Luo, Xiaoxi Guo, Jianqi Bi:
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency. 478-486 - Panfeng Liu, Guoliang Qiu, Biaoshuai Tao, Kuan Yang:
A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models. 487-495 - Runxin Liu, Tian Xie, Jiaming Li, Lingyun Yu, Hongtao Xie:
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation. 496-504 - Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu:
Controllable Protein Sequence Generation with LLM Preference Optimization. 505-513 - Xiyao Liu, Junxing Ma, Xinda Wang, Qianyu Lin, Jian Zhang, Gerald Schaefer, Cagatay Turkay, Hui Fang:
Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks. 514-522 - Xuan Liu, Menglu Li:
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients. 523-531 - Yupei Liu, Yanting Wang, Jinyuan Jia:
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning. 532-540 - Yuxuan Liu, Hongda Sun, Wenya Guo, Xinyan Xiao, Cunli Mao, Zhengtao Yu, Rui Yan:
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking. 541-549 - Zhendong Liu, Le Zhang, Bing Li, Yingjie Zhou, Zhenghua Chen, Ce Zhu:
WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network. 550-558 - Weihai Lu, Yu Tong, Zhiqiu Ye:
DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection. 559-567 - Bingjun Luo, Jinpeng Wang, Zewen Wang, Junjie Zhu, Xibin Zhao:
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval. 568-576 - Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu:
GenAL: Generative Agent for Adaptive Learning. 577-585 - Tianxu Lv, Jie Zhu, Jinyi Liu, Shiyun Nie, Hongnian Tian, Yang Xiao, Yuan Liu, Lihua Li, Xiang Pan:
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity. 586-594 - Takashi Matsubara, Takaharu Yaguchi:
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks. 595-603 - Jian-Ping Mei, Weibin Zhang, Jie Chen, Xuyun Zhang, Tiantian Zhu:
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy. 604-611 - Hui Miao, Yuanfang Guo, Zeming Liu, Yunhong Wang:
Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning. 612-621 - Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang:
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. 622-630 - Li Ni, Rui Ye, Wenjian Luo, Yiwen Zhang, Lei Zhang, Victor S. Sheng:
SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning. 631-639 - Zhibin Ni, Chang Liu, Hai Wan, Xibin Zhao:
Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck. 640-648 - Pedro Orvalho, Mikolás Janota, Vasco M. Manquinho:
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization. 649-657 - Jimin Park, AHyun Ji, Minji Park, Mohammad Saidur Rahman, Se Eun Oh:
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification. 658-666 - Gaozheng Pei, Shaojie Lyu, Ke Ma, Pinci Yang, Qianqian Xu, Yingfei Sun:
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting. 667-675 - Jiaxin Qi, Yan Cui, Kailei Guo, Xiaomin Zhang, Jianqiang Huang, Gaogang Xie:
A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics. 676-684 - Xing Qiu, Guang Cheng, Weizhou Zhu, Dandan Niu, Nan Fu:
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation. 685-693 - Chenfan Qu, Yiwu Zhong, Fengjun Guo, Lianwen Jin:
Revisiting Tampered Scene Text Detection in the Era of Generative AI. 694-702 - Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang:
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization. 703-710 - Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng:
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? 711-719 - Ziqi Sheng, Wei Lu, Xiangyang Luo, Jiantao Zhou, Xiaochun Cao:
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints. 720-728 - Yi Shi, Yun-Kai Wang, Xu-Peng Tian, Tie-Yi Zhang, Bing Yao, Hui Wang, Yong Shao, Cen-Cen Wang, Rong Zeng:
SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis. 729-737 - Yiwei Shi, Muning Wen, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu:
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation. 738-745 - Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen:
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. 746-754 - Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu:
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining. 755-763 - Yunpeng Song, Jiawei Li, Yiheng Bian, Zhongmin Cai:
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts. 764-772 - Nan Sun, Han Fang, Yuxing Lu, Chengxin Zhao, Hefei Ling:
END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions. 773-781 - Cheng Tan, Yijie Zhang, Zhangyang Gao, Yufei Huang, Haitao Lin, Lirong Wu, Fandi Wu, Mathieu Blanchette, Stan Z. Li:
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen. 782-790 - Lei Tan, Yuliang Xue, Guobiao Li, Zhenxing Qian, Sheng Li, Chunlei Bao:
Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts. 791-798 - Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao:
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks. 799-807 - Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Cheng-Zhong Xu, Zhenning Li:
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. 808-816 - Jia Wang, Liyan Zhu, Zhe Wang, Chenqiu Zhang, Yaoxing Wu, Jun Cui, Jianqiang Li:
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration. 817-825 - Jiabao Wang, Zepeng Wu, Qian Dong, Lingzhong Meng, Yunzhi Xue, Yukuan Yang:
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules. 826-833 - Jingyuan Wang, Yujing Lin, Yudong Li:
GTG: Generalizable Trajectory Generation Model for Urban Mobility. 834-842 - Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob:
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models. 843-851 - Ruoqi Wang, Haitao Wang, Qiong Luo, Feng Wang, Hejun Wu:
VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy. 852-860 - Xiaozheng Wang, Yong Yang, Shuying Huang, Hangyuan Lu, Weiguo Wan, Aoqi Zhao:
FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask. 861-868 - Yueqing Wang, Peng Zhang, Yushuang Liu, Jianing Zhao, Jie Lin, Yi Chen:
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training. 869-876 - Fang Wu, Bozhen Hu, Stan Z. Li:
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling. 877-885 - Juntao Wu, Ziyu Song, Xiaoyu Zhang, Shujun Xie, Longxin Lin, Ke Wang:
Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness. 886-894 - Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li:
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. 895-904 - Zhihao Wu, Yushi Cheng, Tianyang Sun, Xiaoyu Ji, Wenyuan Xu:
MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples. 905-913 - Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen:
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. 914-922 - Di Xiong, Shuoyuan Wang, Lei Zhang, Wenbo Huang, Chaolei Han:
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning. 923-931 - Xovee Xu, Yifan Zhang, Fan Zhou, Jingkuan Song:
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation. 932-940 - Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. 941-949 - Chenchen Yang, Hao Wu, Tao Shen, Kai Zou, Siqi Sun:
PriFold: Biological Priors Improve RNA Secondary Structure Predictions. 950-958 - Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan:
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales. 959-967 - Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang:
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting. 968-976 - Na Yu, Yutong Deng, Shunyu Liu, Kaixuan Chen, Tongya Zheng, Mingli Song:
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location. 977-985 - Xinquan Yu, Ziqi Sheng, Wei Lu, Xiangyang Luo, Jiantao Zhou:
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection. 986-994 - Zeqin Yu, Jiangqun Ni, Jian Zhang, Haoyi Deng, Yuzhen Lin:
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization. 995-1003 - Wenwu Zeng, Liangrui Pan, Boya Ji, Liwen Xu, Shaoliang Peng:
Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning. 1004-1012 - Xi Zeng, Fei Ni, Shaoqing Jiao, Dazhi Lu, Jianye Hao, Jiajie Peng:
SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates. 1013-1021 - Jiangou Zhan, Wenhui Zhang, Zheng Zhang, Huanran Xue, Yao Zhang, Ye Wu:
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference. 1022-1030 - Chaowei Zhang, Zongling Feng, Zewei Zhang, Jipeng Qiang, Guandong Xu, Yun Li:
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection. 1031-1039 - Chongyu Zhang, Qiping Tao, Liangyu Chen, Min Zhang:
BERT-Based Code Learning for Exception Localization and Type Prediction. 1040-1047 - Haozhen Zhang, Haodong Yue, Xi Xiao, Le Yu, Qing Li, Zhen Ling, Ye Zhang:
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model. 1048-1056 - Honggen Zhang, Xiangrui Gao, June Zhang, Lipeng Lai:
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design. 1057-1065 - Kuiyuan Zhang, Zhongyun Hua, Rushi Lan, Yushu Zhang, Yifang Guo:
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes. 1066-1074 - Kuiyuan Zhang, Zhongyun Hua, Rushi Lan, Yifang Guo, Yushu Zhang, Guoai Xu:
Multi-View Collaborative Learning Network for Speech Deepfake Detection. 1075-1083 - Lei Zhang, Guanyu Gao, Haiyan Yin, Huaizheng Zhang:
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity. 1084-1092 - Qianru Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin:
Efficient Traffic Prediction Through Spatio-Temporal Distillation. 1093-1101 - Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang:
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction. 1102-1110 - Rongchao Zhang, Yu Huang, Yiwei Lou, Yi Xin, Haixu Chen, Yongzhi Cao, Hanpin Wang:
Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models. 1111-1119 - Shiqi Zhang, Pan Mu, Cheng Huang, Jinglin Zhang, Cong Bai:
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting. 1120-1128 - Xin Zhang, Peiliang Zhang, Jingling Yuan, Lin Li:
Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles. 1129-1137 - Xiongqi Zhang, Junwei Xu, Yang Wang, Dongming Xiang, Wang Lin, Zuohua Ding:
Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network. 1138-1146 - Yudong Zhang, Xu Wang, Xuan Yu, Zhaoyang Sun, Kai Wang, Yang Wang:
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting. 1147-1155 - Zhenbang Zhang, Hongjia Li, Zhiqiang Xu, Wenjia Meng, Renmin Han:
A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy. 1156-1164 - Ziyang Zhang, Yang Zhao, Ming-Ching Chang, Changyao Lin, Jie Liu:
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS. 1165-1173 - Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen:
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. 1174-1182 - Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li:
From Words to Worth: Newborn Article Impact Prediction with LLM. 1183-1191 - Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda Xu, Laizhong Cui, Song Guo:
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement. 1192-1200 - Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin:
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors. 1201-1209 - Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li:
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection. 1210-1218 - Jun Zhu, Yifu Li, Zhenchao Tang, Cheng Chang:
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser. 1219-1227 - Yu Zhu, Bo Lei, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang:
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis. 1228-1236 - Linlin Zong, Wenmin Lin, Jiahui Zhou, Xinyue Liu, Xianchao Zhang, Bo Xu, Shimin Wu:
Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection. 1237-1245
Technical Tracks 2
- Qing Chang, Yao-Xiang Ding, Kun Zhou:
Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment. 1247-1255 - Xuping Chen, Wuzhen Shi:
Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations. 1256-1264 - Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu:
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. 1265-1273 - Zhuang Chen, Yaru Cao, Guanqun Bi, Jincenzi Wu, Jinfeng Zhou, Xiyao Xiao, Si Chen, Hongning Wang, Minlie Huang:
SocialSim: Towards Socialized Simulation of Emotional Support Conversation. 1274-1282 - Mateus de Oliveira Oliveira, Wim Vanden Broeck:
Symbolic Functional Decomposition: A Reconfiguration Approach. 1283-1290 - Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng:
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. 1291-1299 - Yi Feng, Mingyang Song, Jiaqi Wang, Zhuang Chen, Guanqun Bi, Minlie Huang, Liping Jing, Jian Yu:
SS-GEN: A Social Story Generation Framework with Large Language Models. 1300-1308 - Xilin He, Haijian Liang, Boyi Peng, Weicheng Xie, Muhammad Haris Khan, Siyang Song, Zitong Yu:
MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models. 1309-1317 - Jinbing Hou, Youpeng Zhao, Jian Zhao:
CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization. 1318-1326 - Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu:
Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling. 1327-1335 - Zihan Ji, Xuetao Tian, Ye Liu:
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection. 1336-1344 - Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj:
Deep Reinforcement Learning with Time-Scale Invariant Memory. 1345-1354 - Lucio La Cava, Andrea Tagarelli:
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models. 1355-1363 - Zhenxin Lei, Man Yao, Jiakui Hu, Xinhao Luo, Yanye Lu, Bo Xu, Guoqi Li:
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation. 1364-1372 - Chengtai Li, Yee Yang Tan, Yuting He, Jianfeng Ren, Ruibin Bai, Yitian Zhao, Heng Yu, Xudong Jiang:
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning. 1373-1382 - Jingmeng Li, Lukang Fu, Surun Yang, Hui Wei:
MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images. 1383-1391 - Yinan Li, Jun Long, Zhan Yang:
Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis. 1392-1401 - Yu Liang, Wenjie Wei, Ammar Belatreche, Honglin Cao, Zijian Zhou, Shuai Wang, Malu Zhang, Yang Yang:
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism. 1402-1410 - Jinhao Lin, Yifei Wang, Yanwu Xu, Qi Liu:
Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis. 1411-1419 - Wei Liu, Li Yang, Mingxuan Zhao, Dengfeng Xue, Shuxun Wang, Boyu Cai, Jin Gao, Wenjuan Li, Bing Li, Weiming Hu:
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision. 1420-1428 - Xiaochuan Liu, Xin Cheng, Yuchong Sun, Xiaoxue Wu, Ruihua Song, Hao Sun, Denghao Zhang:
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics. 1429-1437 - Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu, Wei-Long Zheng:
Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning. 1438-1446 - Haifeng Lu, Jiuyi Chen, Feng Liang, Mingkui Tan, Runhao Zeng, Xiping Hu:
Understanding Emotional Body Expressions via Large Language Models. 1447-1455 - Ryo Masumura, Shota Orihashi, Mana Ihori, Tomohiro Tanaka, Naoki Makishima, Satoshi Suzuki, Saki Mizuno, Nobukatsu Hojo:
Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level Scores. 1456-1464 - Wei Miao, Jiangrong Shen, Qi Xu, Timo Hämäläinen, Yi Xu, Fengyu Cong:
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks. 1465-1473 - Philippe Pasquier, Jeff Ens, Nathan Fradet, Paul Triana, Davide Rizzotti, Jean-Baptiste Rolland, Maryam Safi:
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition. 1474-1482 - Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang:
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. 1483-1491 - Mirabel Reid, Santosh S. Vempala:
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI's Understanding of Algorithms. 1492-1500 - Yimeng Shan, Malu Zhang, Ruijie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu:
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning. 1501-1509 - Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu:
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. 1510-1519 - Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, Saki Mizuno, Keita Suzuki, Ryo Masumura, Hiroaki Sugiyama, Kuniko Saito:
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind. 1520-1528 - Yuxuan Song, Qiudan Li, Yilin Wu, David Jingjun Xu, Daniel Dajun Zeng:
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data. 1529-1537 - Bin Tang, Keqi Pan, Miao Zheng, Ning Zhou, Jialu Sui, Dandan Zhu, Cheng-Long Deng, Shu-Guang Kuai:
Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset. 1538-1546 - Chuanqi Tao, Jiaming Li, Tianzi Zang, Peng Gao:
A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis. 1547-1555 - Neha Upadhyay, Vijay Marupudi, Kamala Varma, Sashank Varma:
Alignment of CNN and Human Judgments of Geometric and Topological Concepts. 1556-1564 - Miaohui Wang, Zhenming Li, Wuyuan Xie:
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy. 1565-1573 - Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu:
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations. 1574-1582 - Ziqing Wang, Yuetong Fang, Jiahang Cao, Hongwei Ren, Renjing Xu:
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks. 1583-1591 - Zachary Wojtowicz, Simon DeDeo:
Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier. 1592-1600 - Sheng Wu, Dongxiao He, Xiaobao Wang, Longbiao Wang, Jianwu Dang:
Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content. 1601-1609 - Zijian Wu, Leijing Zhou, Shuanglin Li, Changzeng Fu, Jun Lu, Jing Han, Yi Zhang, Zhuang Zhao, Siyang Song:
DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment. 1610-1619 - Dingyi Zeng, Yuchen Wang, Honglin Cao, Wanlong Liu, Yichen Xiao, Chengzhuo Lu, Wenyu Chen, Malu Zhang, Guoqing Wang, Yang Yang:
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing. 1620-1628 - Dengming Zhang, Weitao You, Ziheng Liu, Lingyun Sun, Pei Chen:
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning. 1629-1637 - Miao Zhang, Jiawei Wang, Kui Xiao, Shihui Wang, Yan Zhang, Hao Chen, Zhifei Li:
Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization. 1638-1646 - Chunyu Zhao, Wentao Mu, Xian Zhou, Wenbo Liu, Fei Yan, Tao Deng:
SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention. 1647-1655 - Shiyi Zheng, Peizhi Zhao, Zhilong Zheng, Peihang He, Haonan Cheng, Yi Cai, Qingbao Huang:
Look Around Before Locating: Considering Content and Structure Information for Visual Grounding. 1656-1664 - Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Xilin He, Lu Liu, Linlin Shen, Wei Zhang, Hatice Gunes, Siyang Song:
PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation. 1665-1673 - Jiankun Zhu, Sicheng Zhao, Jing Jiang, Wenbo Tang, Zhaopan Xu, Tingting Han, Pengfei Xu, Hongxun Yao:
Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation. 1674-1682 - Linlin Zhu, Heli Sun, Qunshu Gao, Yuze Liu, Liang He:
Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios. 1683-1691 - Yaohui Zhu, Kaiming Sun, Zhengdong Luo, Lingfeng Wang:
Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences. 1692-1699 - Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu:
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation. 1701-1709 - Yihao, Limei Hu, Feng Chen, Sen Zhao, Shukai Duan:
GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration. 1710-1718 - Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim, Mayank Vatsa, Richa Singh, Shyam Prasad Adhikari, Sangeeth Reddy Battu:
AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification. 1719-1727 - Daechul Ahn, Yura Choi, San Kim, Youngjae Yu, Dongyeop Kang, Jonghyun Choi:
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO. 1728-1736 - Tim Alpherts, Sennay Ghebreab, Nanne van Noord:
EMPLACE: Self-Supervised Urban Scene Change Detection. 1737-1745 - Jingkun An, Yinghao Zhu, Zongjian Li, Enshen Zhou, Haoran Feng, Xijie Huang, Bohua Chen, Yemin Shi, Chengwei Pan:
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. 1746-1754 - Xiaoqi An, Lin Zhao, Chen Gong, Jun Li, Jian Yang:
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation. 1755-1763 - Yajun An, Jiale Chen, Huan Lin, Zhenbing Liu, Siyang Feng, Hualong Zhang, Rushi Lan, Zaiyi Liu, Xipeng Pan:
CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction. 1764-1772 - Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Ji:
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models. 1773-1781 - Sithu Aung, Min-Cheol Sagong, Junghyun Cho:
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset. 1782-1790 - Hamed Ayoobi, Nico Potyka, Francesca Toni:
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation. 1791-1799 - Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour:
Can Generative Models Improve Self-Supervised Representation Learning? 1800-1808 - Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
The Master Key Filters Hypothesis: Deep Filters Are General. 1809-1816 - Lichen Bai, Zixuan Xiong, Hai Lin, Guangwei Xu, Xiangjin Xie, Ruijie Guo, Zhanhui Kang, Haitao Zheng, Hong-Gee Kim:
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers. 1817-1825 - Jingwei Bao, Jinhua Hao, Pengcheng Xu, Ming Sun, Chao Zhou, Shuyuan Zhu:
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling. 1826-1834 - Oren Barkan, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein:
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation. 1835-1843 - Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang:
Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis. 1844-1852 - Qi Bi, Jingjun Yi, Haolan Zhan, Wei Ji, Gui-Song Xia:
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination. 1853-1861 - Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li:
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization. 1862-1870 - Xiuli Bi, Jian Lu, Bo Liu, Xiaodong Cun, Yong Zhang, Weisheng Li, Bin Xiao:
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training. 1871-1879 - Yuxuan Bian, Ailing Zeng, Xuan Ju, Xian Liu, Zhaoyang Zhang, Wei Liu, Qiang Xu:
MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls. 1880-1888 - Yuntian Bo, Yazhou Zhu, Lunbo Li, Haofeng Zhang:
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation. 1889-1897 - Lingling Cai, Kang Zhao, Hangjie Yuan, Yingya Zhang, Shiwei Zhang, Kejie Huang:
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing. 1898-1906 - Rui Cai, Zhiyu Dong, Jianfeng Dong, Xun Wang:
Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval. 1907-1916 - Shuo Cai, Xinzhe Han, Shuhui Wang:
Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue. 1917-1925 - Wenxiao Cai, Wankou Yang:
Object-level Geometric Structure Preserving for Natural Image Stitching. 1926-1934 - Cong Cao, Huanjing Yue, Xin Liu, Jingyu Yang:
Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model. 1935-1943 - Qihang Cao, Huangxun Chen:
ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects. 1944-1952 - Yuan Cao, Xiangru Chen, Zifan Liu, Wenzhe Jia, Fanlei Meng, Jie Gui:
Deep Graph Online Hashing for Multi-Label Image Retrieval. 1953-1961 - Angela Castillo, Jonas Kohler, Juan C. Pérez, Juan Pablo Pérez, Albert Pumarola, Bernard Ghanem, Pablo Arbeláez, Ali K. Thabet:
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models. 1962-1970 - Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian:
Segment Any 3D Gaussians. 1971-1979 - Junuk Cha, Mengwei Ren, Krishna Kumar Singh, He Zhang, Yannick Hold-Geoffroy, Seunghyun Yoon, Hyunjoon Jung, Jae Shin Yoon, Seungryul Baek:
Text2Relight: Creative Portrait Relighting with Text Guidance. 1980-1988 - Keng Wei Chang, Zi-Ming Wang, Shang-Hong Lai:
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences. 1989-1997 - Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu:
WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. 1998-2006 - Qikai Chang, Mingjun Chen, Changpeng Pi, Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Jun Du, Baocai Yin, Jinshui Hu:
RFL: Simplifying Chemical Structure Recognition with Ring-Free Language. 2007-2015 - Changgu Chen, Junwei Shu, Gaoqi He, Changbo Wang, Yang Li:
Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation. 2016-2024 - Chao Chen, Yu-Shen Liu, Zhizhong Han:
Sharpening Neural Implicit Functions with Frequency Consolidation Priors. 2025-2033 - Dongpan Chen, Dehui Kong, Jinghua Li, Baocai Yin:
MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts. 2034-2042 - Haipeng Chen, Yuheng Yang, Yingda Lyu:
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion. 2043-2051 - Haipeng Chen, Sifan Wu, Zhigang Wang, Yifang Yin, Yingying Jiao, Yingda Lyu, Zhenguang Liu:
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation. 2052-2060 - Jiahao Chen, Zhou Feng, Rui Zeng, Yuwen Pu, Chunyi Zhou, Yi Jiang, Yuyou Gan, Jinbao Li, Shouling Ji:
Enhancing Adversarial Transferability with Adversarial Weight Tuning. 2061-2069 - Jie Chen, Xinyuan Liu, Xintong Liu, Jianqiang Li:
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification. 2070-2078 - Jingyuan Chen, Fuchen Long, Jie An, Zhaofan Qiu, Ting Yao, Jiebo Luo, Tao Mei:
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion. 2079-2087 - Junyi Chen, Weicai Ye, Yifan Wang, Danpeng Chen, Di Huang, Wanli Ouyang, Guofeng Zhang, Yu Qiao, Tong He:
GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction. 2088-2096 - Kang Chen, Yajing Zheng, Tiejun Huang, Zhaofei Yu:
Rethinking High-speed Image Reconstruction Framework with Spike Camera. 2097-2104 - Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang:
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. 2105-2113 - Lu Chen, Shaofeng Li, Benhao Huang, Fan Yang, Zheng Li, Jie Li, Yuan Luo:
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations. 2114-2122 - Nan Chen, Mengqi Huang, Zhuowei Chen, Yang Zheng, Lei Zhang, Zhendong Mao:
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization. 2123-2131 - Qi Chen, Changli Wu, Jiayi Ji, Yiwei Ma, Danni Yang, Xiaoshuai Sun:
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation. 2132-2140 - Qibo Chen, Weizhong Jin, Jianyue Ge, Mengdi Liu, Yuchao Yan, Jian Jiang, Li Yu, Xuanjiang Guo, Shuchang Li, Jianzhong Chen:
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection. 2141-2149 - Qihua Chen, Yue Ma, Hongfa Wang, Junkun Yuan, Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen, Wei Liu:
Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation. 2150-2158 - Qirui Chen, Shangzhe Di, Weidi Xie:
Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos. 2159-2167 - Qizhou Chen, Taolin Zhang, Chengyu Wang, Xiaofeng He, Dakan Wang, Tingting Liu:
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit. 2168-2176 - Sen Chen, Hongying Liu, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Liang Wan, Dongmei Jiang, Yaowei Wang:
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution. 2177-2185 - Shengjia Chen, Luping Ji, Weiwei Duan, Shuang Peng, Mao Ye:
Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection. 2186-2194 - Shunxin Chen, Ajian Liu, Junze Zheng, Jun Wan, Kailai Peng, Sergio Escalera, Zhen Lei:
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection. 2195-2203 - Sijia Chen, En Yu, Wenbing Tao:
Cross-View Referring Multi-Object Tracking. 2204-2211 - Siran Chen, Yuxiao Luo, Yue Ma, Yu Qiao, Yali Wang:
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving. 2212-2220 - Wei Chen, Jianwei Niu, Xuefeng Liu, Zhendong Wang, Shaojie Tang, Guogang Zhu:
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models. 2221-2229 - Xiao Chen, Xudong Jiang, Yunkang Tao, Zhen Lei, Qing Li, Chenyang Lei, Zhaoxiang Zhang:
FIRM: Flexible Interactive Reflection ReMoval. 2230-2238 - Xin Chen, Ben Kang, Wanting Geng, Jiawen Zhu, Yi Liu, Dong Wang, Huchuan Lu:
SUTrack: Towards Simple and Unified Single Object Tracking. 2239-2247 - Xingchi Chen, Zhuoran Zheng, Xuerui Li, Yuying Chen, Shu Wang, Wenqi Ren:
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning. 2248-2255 - Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka:
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer. 2256-2265 - Xiongren Chen, Jiuyong Li, Jixue Liu, Lin Liu, Stefan Peters, Thuc Duy Le, Wentao Gao, Xiaojing Du, Anthony Walsh:
Diffusion Models for Attribution. 2266-2274 - Xuesong Chen, Shaoshuai Shi, Tao Ma, Jingqiu Zhou, Simon See, Ka Chun Cheung, Hongsheng Li:
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving. 2275-2283 - Yi Chen, Muyoung Son, Chuanbo Hua, Joo-Young Kim:
AoP-SAM: Automation of Prompts for Efficient Segmentation. 2284-2292 - Yi Chen, Jian Xu, Xu-Yao Zhang, Wen-Zhuo Liu, Yang-Yang Liu, Cheng-Lin Liu:
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. 2293-2301 - Yiliang Chen, Steven SC Ho, Cheng Xu, Yao Jie Xie, Wing-Fai Yeung, Shengfeng He, Jing Qin:
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis. 2302-2310 - Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu:
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. 2311-2319 - Yitong Chen, Wenhao Yao, Lingchen Meng, Sihong Wu, Zuxuan Wu, Yu-Gang Jiang:
Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection. 2320-2328 - Yuchong Chen, Jian Yu, Shaoyan Gai, Zeyu Cai, Feipeng Da:
3D Measurement of Complex Textured Objects Based on Bidirectional Fringe Projection. 2329-2338 - Yujia Chen, Rui Sun, Wangkai Li, Huayu Mai, Naisong Luo, Yuwen Pan, Tianzhu Zhang:
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective. 2339-2347 - Yuying Chen, Mingde Yao, Wenbo Li, Renjing Pei, Jinjing Zhao, Wenqi Ren:
Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution. 2348-2356
Technical Tracks 3
- Zehao Chen, Rong Pan:
SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers. 2358-2366 - Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan:
EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting. 2367-2375 - Zehao Chen, Zhanfeng Liao, De Ma, Huajin Tang, Qian Zheng, Gang Pan:
EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events. 2376-2384 - Zheng Chen, Yu Zeng, Zehui Chen, Hongzhi Gao, Lin Chen, Jiaming Liu, Feng Zhao:
VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping. 2385-2393 - Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song:
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis. 2394-2402 - Zhiyuan Chen, Jiajiong Cao, Zhiquan Chen, Yuming Li, Chenguang Ma:
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions. 2403-2410 - Zikang Chen, Tao Jiang, Xiaowan Hu, Wang Zhang, Huaqiu Li, Haoqian Wang:
Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising. 2411-2419 - Zining Chen, Xingshuang Luo, Weiqiu Wang, Zhicheng Zhao, Fei Su, Aidong Men:
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection. 2420-2428 - Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia:
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation. 2429-2437 - Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Shilei Wen, Lean Fu:
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models. 2438-2446 - Junfeng Cheng, Yingkai Yang, Tania Stathaki:
3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping. 2447-2454 - Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
Effective Diffusion Transformer Architecture for Image Super-Resolution. 2455-2463 - Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong:
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. 2464-2472 - Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao:
Graphic Design with Large Multimodal Model. 2473-2481 - Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Xiawu Zheng, Chang Liu, Jie Chen:
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation. 2482-2490 - Zhixin Cheng, Jiacheng Deng, Xinjun Li, Baoqun Yin, Tianzhu Zhang:
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment. 2491-2499 - Cheol-Ho Cho, WonJun Moon, Woojin Jun, Minseok Jung, Jae-Pil Heo:
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval. 2500-2508 - Kyusik Cho, Dong Yeop Kim, Euntai Kim:
Zero-Shot Scene Change Detection. 2509-2517 - Seungju Cho, Hongsin Lee, Changick Kim:
Enhancing Robustness in Incremental Learning with Adversarial Training. 2518-2526 - Suhwan Cho, Seoung Wug Oh, Sangyoun Lee, Joon-Young Lee:
Elevating Flow-Guided Video Inpainting with Reference Generation. 2527-2535 - Dasol Choi, Dongbin Na:
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting. 2536-2544 - Sooyoung Choi, Sungyong Park, Heewon Kim:
SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses. 2545-2554 - Wonhyeok Choi, Kyumin Hwang, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, Sunghoon Im:
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces. 2555-2563 - Yongjin Choi, Chanhun Park, Seung Jun Baek:
DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis. 2564-2572 - Jisheng Chu, Wenrui Li, Xingtao Wang, Kanglin Ning, Yidan Lu, Xiaopeng Fan:
Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion. 2573-2581 - Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo:
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer. 2582-2590 - Jiwan Chung, Seungwon Lim, Sangkyu Lee, Youngjae Yu:
MASS: Overcoming Language Bias in Image-Text Matching. 2591-2599 - Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli:
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. 2600-2608 - Yubo Cui, Zhiheng Li, Jiaqiang Wang, Zheng Fang:
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba. 2609-2617 - Ming Dai, Jian Li, Jiedong Zhuang, Xian Zhang, Wankou Yang:
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints. 2618-2626 - Tao Dai, Yang Lin, Hang Guo, Jinbao Wang, Zexuan Zhu:
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection. 2627-2635 - Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu:
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud. 2636-2644 - Yuqin Dai, Wanlu Zhu, Ronghui Li, Zeping Ren, Xiangzheng Zhou, Jixuan Ying, Jun Li, Jian Yang:
Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion. 2645-2653 - Quan Dao, Hao Phung, Trung Tuan Dao, Dimitris N. Metaxas, Anh Tuan Tran:
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation. 2654-2662 - Shristi Das Biswas, Matthew Shreve, Xuelu Li, Prateek Singhal, Kaushik Roy:
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery. 2663-2671 - Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley, Thomas Heinis, Artur Yakimovich:
Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models. 2672-2680 - Hui Deng, Jiawei Shi, Zhen Qin, Yiran Zhong, Yuchao Dai:
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling. 2681-2689 - Jiacheng Deng, Jiahao Lu, Zhixin Cheng, Wenfei Yang:
DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence. 2690-2698 - Jiacheng Deng, Jiahao Lu:
Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence. 2699-2707 - Shangqi Deng, Jun Ma, Liang-Jian Deng, Ping Wei:
OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion. 2708-2716 - Xiongwen Deng, Haoyu Tang, Han Jiang, Qinghai Zheng, Jihua Zhu:
Boundary-Aware Temporal Dynamic Pseudo-Supervision Pairs Generation for Zero-Shot Natural Language Video Localization. 2717-2725 - Yuhui Deng, Yuqin Lu, Yangyang Xu, Yongwei Nie, Shengfeng He:
Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation. 2726-2734 - Bonan Ding, Jin Xie, Jing Nie, Jiale Cao:
SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection. 2735-2743 - Guanqi Ding, Chengyu Yang, Shuhui Wang, Xincheng Li, Jinzhe Zhang, Xin Jin, Qingming Huang:
Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models. 2744-2752 - Yanbo Ding, Shaobin Zhuang, Kunchang Li, Zhengrong Yue, Yu Qiao, Yali Wang:
Muses: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration. 2753-2761 - Ziheng Ding, Xiaze Zhang, Qi Jing, Ying Cheng, Rui Feng:
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds. 2762-2770 - Chenghu Du, Junyin Wang, Yi Rong, Feng Yu, Shengwu Xiong:
GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach. 2771-2779 - Chenghu Du, Junyin Wang, Feng Yu, Shengwu Xiong:
Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation. 2780-2788 - Keyu Du, Hao Xu, Haipeng Li, Hong Qu, Chi-Wing Fu, Shuaicheng Liu:
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions. 2789-2797 - Yongkun Du, Zhineng Chen, Caiyan Jia, Xieping Gao, Yu-Gang Jiang:
Out of Length Text Recognition with Sub-String Matching. 2798-2806 - Chen Duan, Qianyi Jiang, Pei Fu, Jiamin Chen, Shengxi Li, Zining Wang, Shan Guo, Junfeng Luo:
InstructOCR: Instruction Boosting Scene Text Spotting. 2807-2815 - Zheng-Peng Duan, Jiawei Zhang, Siyu Liu, Zheng Lin, Chun-Le Guo, Dongqing Zou, Jimmy S. J. Ren, Chongyi Li:
A Diffusion-Based Framework for Occluded Object Movement. 2816-2824 - Zheng-Peng Duan, Jiawei Zhang, Zheng Lin, Xin Jin, Xundong Wang, Dongqing Zou, Chun-Le Guo, Chongyi Li:
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts. 2825-2833 - Guodong Fan, Zishu Yao, Guang-Yong Chen, Jian-Nan Su, Min Gan:
IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective. 2834-2842 - Haozhi Fan, Yuan Cao:
Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization. 2843-2851 - Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang:
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video. 2852-2860 - Rui Fan, Weidong Hao, Juntao Guan, Lai Rui, Lin Gu, Tong Wu, Fanhong Zeng, Zhangming Zhu:
EventPillars: Pillar-based Efficient Representations for Event Data. 2861-2869 - Wenxiao Fan, Kan Li:
Combating Semantic Contamination in Learning with Label Noise. 2870-2878 - Zhen Fan, Peng Dai, Zhuo Su, Xu Gao, Zheng Lv, Jiarui Zhang, Tianyuan Du, Guidong Wang, Yang Zhang:
EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs. 2879-2887 - Han Fang, Kejiang Chen, Zijin Yang, Bosen Cui, Weiming Zhang, Ee-Chien Chang:
CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework. 2888-2896 - Shijie Fang, Hongping Gan:
SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-Sharpening. 2897-2905 - Wenxuan Fang, Junkai Fan, Yu Zheng, Jiangwei Weng, Ying Tai, Jun Li:
Guided Real Image Dehazing Using YCbCr Color Space. 2906-2914 - Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li:
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. 2915-2923 - Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian:
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes. 2924-2932 - Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues:
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. 2933-2941 - Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu:
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. 2942-2950 - Dong Feng, Ping Guo, Encheng Peng, Mingmin Zhu, Wenhao Yu, Peng Wang:
PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation. 2951-2959 - Haoxuan Feng, Haohui Zhou, Tian Ye, Sixiang Chen, Lei Zhu:
Residual Diffusion Deblurring Model for Single Image Defocus Deblurring. 2960-2968 - Kunyu Feng, Yue Ma, Bingyuan Wang, Chenyang Qi, Haozhe Chen, Qifeng Chen, Zeyu Wang:
DiT4Edit: Diffusion Transformer for Image Editing. 2969-2977 - Mingtao Feng, Fenghao Tian, Jianqiao Luo, Zijie Wu, Weisheng Dong, Yaonan Wang, Ajmal Saeed Mian:
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization. 2978-2986 - Siyang Feng, Huadeng Wang, Chu Han, Zhenbing Liu, Hualong Zhang, Rushi Lan, Xipeng Pan:
Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration. 2987-2995 - Tonghui Feng, Chunsheng Yan, Qianru Wang, Jiangtao Cui, Xiaotian Qiao:
HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text Generation. 2996-3003 - Yi Feng, Yu Han, Xijing Zhang, Tanghui Li, Yanting Zhang, Rui Fan:
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction. 3004-3012 - Zhida Feng, Li Chen, Yuenan Sun, Jiaxiang Liu, Shikun Feng:
Simplifying Control Mechanism in Text-to-Image Diffusion Models. 3013-3021 - Chenlin Fu, Yingying Zhu:
BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining. 3022-3030 - Teng Fu, Haiyang Yu, Ke Niu, Bin Li, Xiangyang Xue:
Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking. 3031-3039 - Xinghe Fu, Zhiyuan Yan, Taiping Yao, Shen Chen, Xi Li:
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing. 3040-3048 - Keke Gai, Dongjue Wang, Jing Yu, Mohan Wang, Liehuang Zhu, Qi Wu:
MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark. 3049-3058 - Lianqiang Gan, Junyu Lai, Jingze Ju, Lianli Gao, Yi Bin:
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction. 3059-3067 - Ge Gao, Ho Man Kwan, Fan Zhang, David Bull:
PNVC: Towards Practical INR-based Video Compression. 3068-3076 - Jun Gao, Qian Qiao, Tianxiang Wu, Zili Wang, Ziqiang Cao, Wenjie Li:
AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning. 3077-3085 - Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong:
TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations. 3086-3094 - Xianqiang Gao, Pingrui Zhang, Delin Qu, Dong Wang, Zhigang Wang, Yan Ding, Bin Zhao:
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding. 3095-3103 - Chengjie Ge, Xueyang Fu, Peng He, Kunyu Wang, Chengzhi Cao, Zheng-Jun Zha:
EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction. 3104-3112 - Shiping Ge, Qiang Chen, Zhiwei Jiang, Yafeng Yin, Liu Qin, Ziyao Chen, Qing Gu:
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning. 3113-3121 - Xinyu Geng, Jiaming Wang, Xiaolin Huang, Fanglin Chen, Jun Xu:
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis. 3122-3130 - Zichen Geng, Zeeshan Hayder, Wei Liu, Ajmal Saeed Mian:
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions. 3131-3139 - Haifan Gong, Yu Lu, Xiang Wan, Haofeng Li:
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training. 3140-3148 - Tao Gong, Qi Chu, Bin Liu, Nenghai Yu:
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning. 3149-3157 - Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye:
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. 3158-3166 - Anna Grim, Jayaram Chandrashekar, Uygar Sümbül:
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function. 3167-3175 - Shengbo Gu, Yu-Kun Qiu, Yu-Ming Tang, Ancong Wu, Weishi Zheng:
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning. 3176-3184 - Zijian Gu, Jianwei Ma, Yan Huang, Honghao Wei, Zhanye Chen, Hui Zhang, Wei Hong:
HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection. 3185-3193 - Xianchao Guan, Yifeng Wang, Ye Zhang, Zheng Zhang, Yongbing Zhang:
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer. 3194-3202 - Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer:
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching. 3203-3211 - Chuchen Guo, Weijie Zhou, Zheng Liu, Ying He:
You Should Learn to Stop Denoising on Point Clouds in Advance. 3212-3219 - Diandian Guo, Weixin Si, Zhixi Li, Jialun Pei, Pheng-Ann Heng:
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver. 3220-3228 - Haipeng Guo, Huanyu Liu, Jiazheng Wen, Junbao Li:
Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency. 3229-3237 - Haojie Guo, Junyu Gao, Yuan Yuan:
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting. 3238-3246 - Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu:
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. 3247-3256 - Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang:
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. 3257-3265 - Kun Guo, Qiang Ling:
PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts. 3266-3274 - Pinxue Guo, Hao Huang, Peiyang He, Xuefeng Liu, Tianjun Xiao, Wenqiang Zhang:
OpenVIS: Open-vocabulary Video Instance Segmentation. 3275-3283 - Puyuan Guo, Tuo Hao, Wenxin Fu, Yingming Gao, Ya Li:
Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net. 3284-3292 - Yijia Guo, Liwen Hu, Yuanxi Bai, Jiawei Yao, Lei Ma, Tiejun Huang:
SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera. 3293-3301 - Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao:
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. 3302-3310 - Ameer Hamza, Abdullah, Yong Hyun Ahn, Sungyoung Lee, Seong Tae Kim:
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies. 3311-3319 - Feng Han, Kai Chen, Chao Gong, Zhipeng Wei, Jingjing Chen, Yu-Gang Jiang:
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure. 3320-3328 - Huasong Han, Kaixuan Zhou, Xiaoxiao Long, Yusen Wang, Chunxia Xiao:
GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving. 3329-3337 - Jumin Han, Jun-Hee Kim, Seong-Whan Lee:
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow. 3338-3346 - Wencheng Han, Dongqian Guo, Cheng-Zhong Xu, Jianbing Shen:
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving. 3347-3355 - Xumeng Han, Longhui Wei, Xuehui Yu, Zhiyang Dou, Xin He, Kuiran Wang, Yingfei Sun, Zhenjun Han, Qi Tian:
Boosting Segment Anything Model Towards Open-Vocabulary Learning. 3356-3365 - Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li:
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework. 3366-3373 - Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Joeq, Kola Ye:
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting. 3374-3382 - Jinkun Hao, Junshu Tang, Jiangning Zhang, Ran Yi, Yijia Hong, Moran Li, Weijian Cao, Yating Wang, Chengjie Wang, Lizhuang Ma:
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image. 3383-3391 - Gang He, Guancheng Quan, Chang Wu, Shihao Wang, Dajiang Zhou, Yunsong Li:
Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement. 3392-3400 - Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu:
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer. 3401-3409 - Qingdong He, Jiangning Zhang, Jinlong Peng, Haoyang He, Xiangtai Li, Yabiao Wang, Chengjie Wang:
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning. 3410-3418 - Ruian He, Ri Cheng, Xinkai Lyu, Weimin Tan, Bo Yan:
Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-Resolution. 3419-3427 - Xiankang He, Guangkai Xu, Bo Zhang, Hao Chen, Ying Cui, Dongyan Guo:
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation. 3428-3436 - Xu He, Zhiyong Wu, Xiaoyu Li, Di Kang, Chaopeng Zhang, Jiangnan Ye, Liyang Chen, Xiangjun Gao, Han Zhang, Haolin Zhuang:
MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement. 3437-3445 - Yina He, Lei Peng, Yongcun Zhang, Juanjuan Weng, Shaozi Li, Zhiming Luo:
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail. 3446-3454 - Yulin He, Wei Chen, Siqi Wang, Tianci Xun, Yusong Tan:
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement. 3455-3463 - Yuwen He, Wei Wang, Wanyu Wu, Kui Jiang:
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal. 3464-3472
Technical Tracks 4
- Zihao He, Shengchuan Zhang, Runze Hu, Yunhang Shen, Yan Zhang:
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution. 3474-3482 - Miran Heo, Seoung Wug Oh, Seon Joo Kim, Joon-Young Lee:
Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation. 3483-3490 - Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang:
Generalized Class Discovery in Instance Segmentation. 3491-3499 - Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang:
WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection. 3500-3508 - Jie Hou, Jianghong Ma, Xiangyu Mu, Haijun Zhang, Zhao Zhang:
FashionTailor: Controllable Clothing Editing for Human Images with Appearance Preserving. 3509-3517 - Shiyu Hou, Tianfei Zhou, Shuai Zhang, Ye Yuan, Guoren Wang:
Prompt Tuning In a Compact Attribute Space. 3518-3526 - Wenjin Hou, Dingjie Fu, Kun Li, Shiming Chen, Hehe Fan, Yi Yang:
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning. 3527-3535 - Xiaolu Hou, Mingcheng Li, Dingkang Yang, Jiawei Chen, Ziyun Qian, Xiao Zhao, Yue Jiang, Jinjie Wei, Qingyao Xu, Lihua Zhang:
BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation. 3536-3544 - Teng-Fang Hsiao, Bo-Kai Ruan, Hong-Han Shuai:
Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References. 3545-3553 - Jintong Hu, Bin Xia, Bin Chen, Wenming Yang, Lei Zhang:
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution. 3554-3562 - Qiang Hu, Houqiang Zhong, Zihan Zheng, Xiaoyun Zhang, Zhengxue Cheng, Li Song, Guangtao Zhai, Yanfeng Wang:
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression. 3563-3571 - Qiang Hu, Zhenyu Yi, Ying Zhou, Fan Huang, Mei Liu, Qiang Li, Zhiwei Wang:
MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint. 3572-3580 - Xiantao Hu, Ying Tai, Xu Zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang:
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking. 3581-3589 - Xiao Hu, Libo Long, Jochen Lang:
Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation. 3590-3598 - Hang Hua, Yunlong Tang, Chenliang Xu, Jiebo Luo:
V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning. 3599-3607 - Bin Huang, Xin Wang, Hong Chen, Houlun Chen, Yaofei Wu, Wenwu Zhu:
Identity-Text Video Corpus Grounding. 3608-3616 - Binyuan Huang, Yuqing Wen, Yucheng Zhao, Yaosi Hu, Yingfei Liu, Fan Jia, Weixin Mao, Tiancai Wang, Chi Zhang, Chang Wen Chen, Zhenzhong Chen, Xiangyu Zhang:
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control. 3617-3625 - Chihan Huang, Xiaobo Shen:
HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval. 3626-3634 - Dongshuo Huang, Xiaoshui Huang, Chengdong Zhang, Yilei Shi:
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation. 3635-3643 - Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu:
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency. 3644-3652 - Jiaqi Huang, Zunnan Xu, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li:
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation. 3653-3661 - Jie Huang, Rui Huang, Jinghao Xu, Siran Peng, Yule Duan, Liang-Jian Deng:
Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening. 3662-3670 - Lifeng Huang, Tian Su, Chengying Gao, Ning Liu, Qiong Huang:
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models. 3671-3679 - Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu:
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. 3680-3688 - Muye Huang, Lingling Zhang, Han Lai, Wenjun Wu, Xinyu Zhang, Jun Liu:
VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning. 3689-3696 - Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Tyng-Luh Liu, Chiou-Ting Hsu:
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining. 3697-3706 - Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, Jie Song:
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation. 3707-3714 - Shaofei Huang, Rui Ling, Hongyu Li, Tianrui Hui, Zongheng Tang, Xiaoming Wei, Jizhong Han, Si Liu:
Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation. 3715-3723 - Shiqi Huang, Shuting He, Bihan Wen:
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation. 3724-3732 - Tianyu Huang, Haoze Zhang, Yihan Zeng, Zhilu Zhang, Hui Li, Wangmeng Zuo, Rynson W. H. Lau:
DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors. 3733-3741 - Tingxuan Huang, Jiacheng Miao, Shizhuo Deng, Tong Jia, Dongyue Chen:
Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution. 3742-3750 - Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama:
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. 3751-3759 - Xiang Huang, Qing Zhang, Jian-Fang Hu, Wei-Shi Zheng:
CLIP-RestoreX: Restore Image Structure and Perception in Exposure Correction. 3760-3768 - Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen:
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching. 3769-3778 - Xiaoshuang Huang, Lingdong Shen, Jia Liu, Fangxin Shang, Hongxiang Li, Haifeng Huang, Yehui Yang:
Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine. 3779-3787 - Xiaoshui Huang, Zhou Huang, Yifan Zuo, Yongshun Gong, Chengdong Zhang, Deyang Liu, Yuming Fang:
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration. 3788-3796 - Xijie Huang, Xinyuan Wang, Hantao Zhang, Yinghao Zhu, Jiawen Xi, Jingkun An, Hao Wang, Hao Liang, Chengwei Pan:
Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models. 3797-3805 - Xun Huang, Ziyu Xu, Hai Wu, Jinlong Wang, Qiming Xia, Yan Xia, Jonathan Li, Kyle Gao, Chenglu Wen, Cheng Wang:
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection. 3806-3814 - Yan Huang, Xiaoshan Liao, Jinxiu Liang, Yuhui Quan, Boxin Shi, Yong Xu:
Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models. 3815-3823 - Yanglin Huang, Kai Hu, Yuan Zhang, Zhineng Chen, Xieping Gao:
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation. 3824-3832 - Yongle Huang, Haodong Chen, Zhenbang Xu, Zihan Jia, Haozhou Sun, Dian Shao:
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization. 3833-3841 - Yunlong Huang, Junshuo Liu, Ke Xian, Robert Caiming Qiu:
PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model. 3842-3850 - Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks:
Generative Medical Segmentation. 3851-3859 - Yixiong Huo, Guangfeng Jiang, Hongyang Wei, Ji Liu, Song Zhang, Han Liu, Xingliang Huang, Mingjie Lu, Jinzhang Peng, Dong Li, Lu Tian, Emad Barsoum:
EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene. 3860-3867 - Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun:
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion. 3868-3876 - Hyoseok Lee, Kyeong Seon Kim, Byung-Ki Kwon, Tae-Hyun Oh:
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior. 3877-3885 - Muhammet Furkan Ilaslan, Ali Köksal, Kevin Qinghong Lin, Burak Satar, Mike Zheng Shou, Qianli Xu:
VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting. 3886-3894 - Elkhan Ismayilzada, MD Khalequzzaman Chowdhury Sayem, Yihalem Yimolal Tiruneh, Mubarrat Tajoar Chowdhury, Muhammadjon Boboev, Seungryul Baek:
QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects. 3895-3903 - Alexander Jaus, Constantin Marc Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen:
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. 3904-3912 - Yuxiang Ji, Boyong He, Zhuoyue Tan, Liaoni Wu:
Game4Loc: A UAV Geo-Localization Benchmark from Game Data. 3913-3921 - Yuzhou Ji, He Zhu, Junshu Tang, Wuyi Liu, Zhizhong Zhang, Xin Tan, Yuan Xie:
FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping. 3922-3930 - Mingda Jia, Liming Zhao, Ge Li, Yun Zheng:
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection. 3931-3939 - Mingda Jia, Liming Zhao, Ge Li, Yun Zheng:
Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection. 3940-3948 - Yizhen Jia, Rong Quan, Yue Feng, Haiyan Chen, Jie Qin:
Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search. 3949-3957 - Yueru Jia, Aosong Cheng, Yuhui Yuan, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang:
DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework. 3958-3966 - Dadong Jiang, Xianghui Yang, Zibo Zhao, Sheng Zhang, Jiaao Yu, Zeqiang Lai, Shaoxiong Yang, Chunchao Guo, Xiaobo Zhou, Zhihui Ke:
FlexiTex: Enhancing Texture Generation via Visual Guidance. 3967-3975 - Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu:
Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering. 3976-3984 - Jianan Jiang, Hao Tang, Zhilin Jiang, Weiren Yu, Di Wu:
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling. 3985-3993 - Jianfei Jiang, Liyong Wang, Haochen Yu, Tianyu Hu, Jiansheng Chen, Huimin Ma:
RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo. 3994-4002 - Jimao Jiang, Diya Sun, Tianbing Wang, Yuru Pei:
SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure Segmentation. 4003-4011 - Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohammadreza Samadi, Jiao He, Fengyu Sun, Di Niu:
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation. 4012-4020 - Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen:
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution. 4021-4029 - Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan:
LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. 4030-4038 - Pengfei Jiang, Mingbao Lin, Fei Chao:
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. 4039-4047 - Rui Jiang, Xinghe Fu, Guangcong Zheng, Teng Li, Taiping Yao, Xi Li:
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models. 4048-4056 - Sijia Jiang, Jing Hua, Zhizhong Han:
Query Quantized Neural SLAM. 4057-4065 - Sijia Jiang, Tong Wu, Jing Hua, Zhizhong Han:
Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions. 4066-4074 - Yutao Jiang, Qiong Wu, Wenhao Lin, Wei Yu, Yiyi Zhou:
What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph. 4075-4083 - Xianhe Jiao, Chenlei Lv, Junli Zhao, Ran Yi, Yu-Hui Wen, Zhenkuan Pan, Zhongke Wu, Yong-Jin Liu:
Weighted Poisson-disk Resampling on Large-Scale Point Clouds. 4084-4092 - Yingying Jiao, Zhigang Wang, Sifan Wu, Shaojing Fan, Zhenguang Liu, Zhuoyue Xu, Zheqi Wu:
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos. 4093-4101 - Yingying Jiao, Zhigang Wang, Zhenguang Liu, Shaojing Fan, Sifan Wu, Zheqi Wu, Zhuoyue Xu:
Optimizing Human Pose Estimation Through Focused Human and Joint Regions. 4102-4110 - Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen:
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. 4111-4119 - Dongyang Jin, Chao Fan, Weihua Chen, Shiqi Yu:
Exploring More from Multiple Gait Modalities for Human Identification. 4120-4128 - Er Jin, Qihui Feng, Yongli Mou, Gerhard Lakemeyer, Stefan Decker, Oliver Simons, Johannes Stegmaier:
LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction. 4129-4137 - Jiandong Jin, Xiao Wang, Qian Zhu, Haiyang Wang, Chenglong Li:
Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework. 4138-4146 - Long Jin, Han Nong, Liangming Chen, Zhenming Su:
A Method for Enhancing Generalization of Adam by Multiple Integrations. 4147-4155 - Hyungjun Joo, Hyeonggeun Han, Sehwan Kim, Sangwoo Hong, Jungwoo Lee:
Constructing Fair Latent Space for Intersection of Fairness and Explainability. 4156-4165 - Woojin Jun, WonJun Moon, Cheol-Ho Cho, Minseok Jung, Jae-Pil Heo:
Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval. 4166-4174 - Dachun Kai, Yueyi Zhang, Jin Wang, Zeyu Xiao, Zhiwei Xiong, Xiaoyan Sun:
Event-Enhanced Blurry Video Super-Resolution. 4175-4183 - Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi:
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization. 4184-4193 - Ben Kang, Xin Chen, Simiao Lai, Yang Liu, Yi Liu, Dong Wang:
Exploring Enhanced Contextual Information for Video-Level Object Tracking. 4194-4202 - Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park:
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis. 4203-4211 - Jiahui Kang, Qing Cai, Runqing Tan, Yimei Liu, Zhi Liu:
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution. 4212-4220 - Jingcheng Ke, Waikeung Wong, Jia Wang, Mu Li, Lunke Fei, Jie Wen:
DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension. 4221-4229 - Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari:
Learning to Prompt with Text Only Supervision for Vision-Language Models. 4230-4238 - Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang:
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. 4239-4247 - Hyeonseok Kim, Byeongkeun Kang, Yeejin Lee:
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration. 4248-4256 - Hyunjun Kim, Nam Ik Cho:
APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising. 4257-4265 - Jihwan Kim, Miso Lee, Cheol-Ho Cho, Jihyun Lee, Jae-Pil Heo:
Prediction-Feedback DETR for Temporal Action Detection. 4266-4274 - Jisoo Kim, Jungbin Cho, Joonho Park, Soonmin Hwang, Da Eun Kim, Geon Kim, Youngjae Yu:
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation. 4275-4283 - Jungho Kim, Changwon Kang, Dongyoung Lee, Sehwan Choi, Jun Won Choi:
ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder. 4284-4292 - Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim:
HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning. 4293-4301 - Seyeon Kim, Siyoon Jin, Jihye Park, Kihong Kim, Jiyoung Kim, Jisu Nam, Seungryong Kim:
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation. 4302-4310 - Soowoong Kim, Minseong Kwon, Junho Choi, Gun Bang, Seungjoon Yang:
TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences. 4311-4319 - Taewhan Kim, Soeun Lee, Si-Woo Kim, Dong-Jin Kim:
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning. 4320-4328 - Taewoong Kim, Byeonghwi Kim, Jonghyun Choi:
Multi-Modal Grounded Planning and Efficient Replanning for Learning Embodied Agents with a Few Examples. 4329-4337 - Younghyun Kim, Geunmin Hwang, Junyu Zhang, Eunbyung Park:
DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance. 4338-4346 - Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm:
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. 4347-4355 - Hyun-kyu Ko, Dongheok Park, Youngin Park, Byeonghyeon Lee, Juhee Han, Eunbyung Park:
Sequence Matters: Harnessing Video Models in 3D Super-Resolution. 4356-4364 - Maksim Kolodiazhnyi, Anna Vorontsova, Matvey Skripkin, Danila Rukhovich, Anton Konushin:
UniDet3D: Multi-dataset Indoor 3D Object Detection. 4365-4373 - Hanyang Kong, Xingyi Yang, Xinchao Wang:
Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling. 4374-4382 - Jiayi Kong, Xurui Song, Shuo Huai, Baixin Xu, Jun Luo, Ying He:
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images. 4383-4391 - Mengxun Kong, Jie Guo, Chen Wang, Ye Yuan, Yanwen Guo:
Real-Time Neural Denoising with Render-Aware Knowledge Distillation. 4392-4400 - Ming Kong, Xianzhou Zeng, Luyuan Chen, Yadong Li, Bo Yan, Qiang Zhu:
MHBench: Demystifying Motion Hallucination in VideoLLMs. 4401-4409 - Koen Kraaijveld, Yifan Jiang, Kaixin Ma, Filip Ilievski:
COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes. 4410-4418 - Akash Kumar, Sirshapan Mitra, Yogesh Singh Rawat:
Stable Mean Teacher for Semi-supervised Video Action Detection. 4419-4427 - Suruchi Kumari, Pravendra Singh:
A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images. 4428-4436 - Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Minji Son, Changick Kim:
SAFIRE: Segment Any Forged Image Region. 4437-4445 - Jian Lan, Diego Frassinelli, Barbara Plank:
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA. 4446-4454 - Yunwei Lan, Zhigao Cui, Chang Liu, Jialun Peng, Nian Wang, Xin Luo, Dong Liu:
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training. 4455-4463 - Maria A. Larchenko, Alexander Lobashev, Dmitry Guskov, Vladimir Vladimirovich Palyulin:
Color Transfer with Modulated Flows. 4464-4472 - Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le, Truyen Tran, Thao Minh Le:
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. 4473-4481 - Chan Lee, Seungho Shin, Gyeong-Moon Park, Jung Uk Kim:
Multispectral Pedestrian Detection with Sparsely Annotated Label. 4482-4490 - Hyunjee Lee, Youngsik Yun, Jeongmin Bae, Seoha Kim, Youngjung Uh:
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space. 4491-4498 - Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim:
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning. 4499-4507 - Jooyoung Lee, Jaeyoon Lee, Jongwon Choi:
NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR. 4508-4516 - JunGyu Lee, Yeji Choi, Haksub Kim, Ig-Jae Kim, Gi Pyo Nam:
Navigating Label Ambiguity for Facial Expression Recognition in the Wild. 4517-4525 - Minhyeok Lee, Suhwan Cho, Chajin Shin, Jungho Lee, Sunghun Yang, Sangyoun Lee:
Video Diffusion Models Are Strong Video Inpainter. 4526-4533
Technical Tracks 5
- Sangho Lee, Il Yong Chun, Hogun Park:
MAMS: Model-Agnostic Module Selection Framework for Video Captioning. 4535-4543 - Sanghyeon Lee, Jooyeol Yun, Jaegul Choo:
Enabling Region-Specific Control via Lassos in Point-Based Colorization. 4544-4552 - Subeen Lee, Jiyeon Han, Soyeon Kim, Jaesik Choi:
Diverse Rare Sample Generation with Pretrained GANs. 4553-4561 - Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang:
Concept Matching with Agent for Out-of-Distribution Detection. 4562-4570 - Mengqi Lei, Haochen Wu, Xinhua Lv, Xin Wang:
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement. 4571-4579 - Jiaqi Leng, Yakun Ju, Yuanxu Duan, Jiangnan Zhang, Qingxuan Lv, Zuxuan Wu, Hao Fan:
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients. 4580-4588 - Yicheng Leng, Chaowei Fang, Junye Chen, Yixiang Fang, Sheng Li, Guanbin Li:
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal. 4589-4597 - Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev, Amit Giloni, Omer Hofman, Toshiya Shimizu, Asaf Shabtai, Yuval Elovici:
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models. 4598-4606 - Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon:
Disentangled Motion Modeling for Video Frame Interpolation. 4607-4615 - Bingliang Li, Fengyu Yang, Yuxin Mao, Qingwen Ye, Hongkai Chen, Yiran Zhong:
Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control. 4616-4624 - Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Xinmin Qiu, Tiande Guo:
StyO: Stylize Your Face in Only One-Shot. 4625-4633 - Chade Li, Pengju Zhang, Bo Liu, Hao Wei, Yihong Wu:
FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation. 4634-4642 - Chen Li, Rui Zhao, Zeyu Wang, Huiying Xu, Xinzhong Zhu:
RemDet: Rethinking Efficient Model Design for UAV Object Detection. 4643-4651 - Chenxin Li, Xinyu Liu, Wuyang Li, Cheng Wang, Hengyu Liu, Yifan Liu, Zhen Chen, Yixuan Yuan:
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation. 4652-4660 - Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, Yunde Jia:
Consistency of Compositional Generalization Across Multiple Levels. 4661-4669 - Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu:
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques. 4670-4678 - Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
CALLIC: Content Adaptive Learning for Lossless Image Compression. 4679-4688 - Guangyuan Li, Yongkang Wang, Junsheng Luan, Lei Zhao, Wei Xing, Huaizhong Lin, Binkai Ou:
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution. 4689-4697 - Guoqiu Li, Jin Song, Yiyun Fei:
HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes. 4698-4706 - Hao Li, Hao Fei, Zechao Hu, Zhengwei Yang, Zheng Wang:
VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence. 4707-4715 - Haojin Li, Heng Li, Jianyu Chen, Rihan Zhong, Ke Niu, Huazhu Fu, Jiang Liu:
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation. 4716-4724 - Huafeng Li, Dayong Su, Qing Cai, Yafei Zhang:
BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion. 4725-4733 - Huaqiu Li, Wang Zhang, Xiaowan Hu, Tao Jiang, Zikang Chen, Haoqian Wang:
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising. 4734-4742 - Jiafeng Li, Ying Wen, Lianghua He:
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection. 4743-4751 - Jiahao Li, Yang Lu, Yuan Xie, Yanyun Qu:
MaskViM: Domain Generalized Semantic Segmentation with State Space Models. 4752-4760 - Jian Li, Siwang Zhou:
Block-Based Multi-Scale Image Rescaling. 4761-4769 - Jiawei Li, Hongwei Yu, Jiansheng Chen, Xinlong Ding, Jinlong Wang, Jinyuan Liu, Bochao Zou, Huimin Ma:
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion. 4770-4778 - Jiaxing Li, Lin Jiang, Zeqi Ma, Kaihang Jiang, Xiaozhao Fang, Jie Wen:
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval. 4779-4787 - Junyi Li, Zhilu Zhang, Wangmeng Zuo:
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising. 4788-4796 - Ke Li, Di Wang, Zhangyuan Hu, Shaofeng Li, Weiping Ni, Lin Zhao, Quan Wang:
FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection. 4797-4805 - Ke Li, Gengyu Lyu, Hao Chen, Bochen Xie, Zhen Yang, Youfu Li, Yongjian Deng:
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation. 4806-4814 - Kun Li, Dan Guo, Guoliang Chen, Chunxiao Fan, Jingyuan Xu, Zhiliang Wu, Hehe Fan, Meng Wang:
Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition. 4815-4823 - Kunxi Li, Tianyu Zhan, Kairui Fu, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fan Wu, Fei Wu:
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities. 4824-4832 - Ling Li, Ruiwen Gu, Chongyang Wang, Junliang Xing, Xinchun Yu, Xiao-Ping Zhang:
Multi-View 3D Human Pose Estimation with Weakly Synchronized Images. 4833-4841 - Maodong Li, Chao Zheng, Jian Wang, Bing Li:
Similar Modality Enhancement and Action Consistency Learning for Weakly Supervised Temporal Action Localization. 4842-4850 - Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang:
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering. 4851-4859 - Pengna Li, Kangyi Wu, Jingwen Fu, Sanping Zhou:
REGNav: Room Expert Guided Image-Goal Navigation. 4860-4868 - Pu Li, Wenhao Zhang, Jianwei Guo, Jinglu Chen, Dong-Ming Yan:
Revisiting CAD Model Generation by Learning Raster Sketch. 4869-4877 - Qiang Li, Di Liu, Jun Kong, Sen Li, Hui Xu, Jianzhong Wang:
Temporal Action Localization with Cross Layer Task Decoupling and Refinement. 4878-4886 - Rong Li, Liang Li, Jiehua Zhang, Qiang Zhao, Hongkui Wang, Chenggang Yan:
Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning. 4887-4895 - Ruihang Li, Tao Li, Shanding Ye, Kaikai Xiao, Huangnan Zheng, Zhe Yin, Zhijie Pan:
Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception. 4896-4904 - Ruihuang Li, Liyi Chen, Zhengqiang Zhang, Varun Jampani, Vishal M. Patel, Lei Zhang:
SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing. 4905-4913 - Ruoran Li, Runzhao Yang, Wenxin Xiang, Yuxiao Cheng, Tingxiong Xiao, Lu Yang, Jinli Suo:
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging. 4914-4922 - Shijie Li, Weijun Lin, Qingyuan Xiang, Yunbin Tu, Shitan Asu, Zheng Li:
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video. 4923-4931 - Shiyu Li, Pengxu Wei, Pengchong Qiao, Chang Liu, Jie Chen:
DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs. 4932-4940 - Teng Li, Xingjun Ma, Yu-Gang Jiang:
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks. 4941-4949 - Tengpeng Li, Hanli Wang, Xianfei Li, Wenlong Liao, Tao He, Pai Peng:
Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving. 4950-4958 - Wenrui Li, Zhe Yang, Wei Han, Hengyu Man, Xingtao Wang, Xiaopeng Fan:
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images. 4959-4967 - Wenxue Li, Lie Ju, Feilong Tang, Peng Xia, Xinyu Xiong, Ming Hu, Lei Zhu, Zongyuan Ge:
Towards Realistic Semi-supervised Medical Image Classification. 4968-4976 - Wenyun Li, Zheng Zhang, Xiangyuan Lan, Dongmei Jiang:
Transferable Adversarial Face Attack with Text Controlled Attribute. 4977-4985 - Xiaohai Li, Bineng Zhong, Qihua Liang, Guorong Li, Zhiyi Mo, Shuxiang Song:
MambaLCT: Boosting Tracking via Long-term Context State Space Model. 4986-4994 - Xinzhe Li, Jiahui Zhan, Shengfeng He, Yangyang Xu, Junyu Dong, Huaidong Zhang, Yong Du:
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium. 4995-5003 - Xudong Li, Yan Zhang, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao:
Feature Denoising Diffusion Model for Blind Image Quality Assessment. 5004-5012 - Xueyang Li, Yunzhong Lou, Yu Song, Xiangdong Zhou:
Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling. 5013-5021 - Yachao Li, Dong Liang, Tianyu Ding, Sheng-Jun Huang:
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution. 5022-5030 - Yaowei Li, Xintao Wang, Zhaoyang Zhang, Zhouxia Wang, Ziyang Yuan, Liangbin Xie, Ying Shan, Yuexian Zou:
Image Conductor: Precision Control for Interactive Video Synthesis. 5031-5038 - Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi:
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. 5039-5047 - Yiheng Li, Yang Yang, Zhen Lei:
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection. 5048-5056 - Yihui Li, Chengxin Lv, Hongyu Yang, Di Huang:
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images. 5057-5065 - Yinghui Li, Qianyu Zhou, Jingyu Gong, Ye Zhu, Richard Dazeley, Xinkui Zhao, Xuequan Lu:
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion. 5066-5074 - Zhangbin Li, Jinxing Zhou, Jing Zhang, Shengeng Tang, Kun Li, Dan Guo:
Patch-level Sounding Object Tracking for Audio-Visual Question Answering. 5075-5083 - Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. 5084-5091 - Zhuoyuan Li, Yubo Ai, Jiahao Lu, Chuxin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, Tianzhu Zhang:
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model. 5092-5100 - Zixu Li, Zhiwei Chen, Haokun Wen, Zhiheng Fu, Yupeng Hu, Weili Guan:
ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval. 5101-5109 - Zonglin Li, Xiaoqian Lv, Qinglin Liu, Quanling Meng, Xin Sun, Shengping Zhang:
ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition. 5110-5118 - Zongyi Li, Jianbo Li, Yuxuan Shi, Jiazhong Chen, Shijuan Huang, Linnan Tu, Fei Shen, Hefei Ling:
Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval. 5119-5127 - Baoyu Liang, Qile Su, Shoutai Zhu, Yuchen Liang, Chao Tong:
VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos. 5128-5136 - Guoyan Liang, Qin Zhou, Zhe Wang, Jingyuan Chen, Lin Gu, Chang Yao, Sai Wu, Bingcang Huang, Kai Chen:
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities. 5137-5145 - Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang:
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection. 5146-5154 - Li Liang, Naveed Akhtar, Jordan Vice, Xiangrui Kong, Ajmal Saeed Mian:
Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion. 5155-5163 - Yiyuan Liang, Zhiying Yan, Liqun Chen, Jiahuan Zhou, Luxin Yan, Sheng Zhong, Xu Zou:
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes. 5164-5172 - Zixi Liang, Guowei Xu, Haifeng Wu, Ye Huang, Wen Li, Lixin Duan:
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field. 5173-5181 - Bencheng Liao, Xinggang Wang, Lianghui Zhu, Qian Zhang, Chang Huang:
ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention. 5182-5190 - Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu:
Progressive Distribution Matching for Federated Semi-Supervised Learning. 5191-5199 - Sangbeom Lim, Seongchan Kim, Seungjun An, Seokju Cho, Paul Hongsuck Seo, Seungryong Kim:
Multi-Granularity Video Object Segmentation. 5200-5208 - Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan:
NightHaze: Nighttime Image Dehazing via Self-Prior Learning. 5209-5217 - Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng, Xiaodan Liang:
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder. 5218-5226 - Guixu Lin, Muyao Niu, Qingtian Zhu, Zhengwei Yin, Zhuoxiao Li, Shengfeng He, Yinqiang Zheng:
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach. 5227-5235 - Jiaqi Lin, Zhihao Li, Binxiao Huang, Xiao Tang, Jianzhuang Liu, Shiyong Liu, Xiaofei Wu, Fenglong Song, Wenming Yang:
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting. 5236-5244 - Jiayi Lin, Jiabo Huang, Jian Hu, Shaogang Gong:
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation. 5245-5253 - Jiaying Lin, Yuen Hei Yeung, Shuquan Ye, Rynson W. H. Lau:
Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection. 5254-5261 - Kaiqing Lin, Yuzhen Lin, Weixiang Li, Taiping Yao, Bin Li:
Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection. 5262-5270 - Min Lin, Gangwei Xu, Yun Wang, Xianqi Wang, Xin Yang:
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation. 5271-5279 - Pei Lin:
HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models. 5280-5288 - Yangkai Lin, Jiabao Lei, Kui Jia:
Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles. 5289-5297 - Yiheng Lin, Yihan Hu, Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei:
Memory Efficient Matting with Adaptive Token Routing. 5298-5306 - Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding:
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. 5307-5315 - Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding:
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. 5316-5324 - Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu:
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases. 5325-5333 - Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji:
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference. 5334-5342 - Peng Ling, Tiao Tan, Jiaqi Lin, Wenming Yang:
SOVGaussian: Sparse-View 3D Gaussian Splatting for Open-Vocabulary Scene Understanding. 5343-5351 - Baolong Liu, Ruiqing Yang, Roukai Huang, Wenhao Xu, Xin Pan, Chuanhuang Li, Bin Wang, Xun Wang, Jianfeng Dong:
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline. 5352-5360 - Chengzhi Liu, Zile Huang, Zhe Chen, Feilong Tang, Yu Tian, Zhongxing Xu, Zihong Luo, Yalin Zheng, Yanda Meng:
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. 5361-5369 - Chuang Liu, Yichao Cao, YingYing Zhang, Xiu Su, Haogang Zhu:
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging. 5370-5378 - Decheng Liu, Zongqi Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao:
Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations. 5379-5387 - Delong Liu, Zhaohui Hou, Mingjie Zhan, Shihao Han, Zhicheng Zhao, Fei Su:
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer. 5388-5396 - Dunqiang Liu, Shujun Huang, Wen Li, Siqi Shen, Cheng Wang:
Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning. 5397-5405 - Duo Liu, Yiqi Shi, Guoyin Zhang, Sizhao Li, Liguo Zhang:
Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image. 5406-5414 - Fan Liu, Wenwen Cai, Jian Huo, Chuanyi Zhang, Delong Chen, Jun Zhou:
Making Large Vision Language Models to Be Good Few-Shot Learners. 5415-5423 - Gaofeng Liu, Zhiyuan Ma, Tao Fang:
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment. 5424-5432 - Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu:
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning. 5433-5441 - Haomiao Liu, Hao Xu, Chuhuai Yue, Bo Ma:
UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection. 5442-5450 - Hongjian Liu, Qingsong Xie, Tianxiang Ye, Zhijie Deng, Chen Chen, Shixiang Tang, Xueyang Fu, Haonan Lu, Zheng-Jun Zha:
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. 5451-5459 - Hongyuan Liu, Haochen Yu, Bochao Zou, Juntao Lyu, Qi Mei, Jiansheng Chen, Huimin Ma:
ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images. 5460-5468 - Huaizhuo Liu, Hai-Miao Hu, Yonglong Jiang, Yurui Liu:
PEIE: Physics Embedded Illumination Estimation for Adaptive Dehazing. 5469-5477 - Jiajie Liu, Mengyuan Liu, Hong Liu, Wenhao Li:
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation. 5478-5486 - Jiapeng Liu, Liang Li, Shihao Rao, Xiyan Gao, Weixin Guan, Bing Li, Can Ma:
Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering. 5487-5495 - Jingyu Liu, Minquan Wang, Ye Ma, Bo Wang, Aozhu Chen, Quan Chen, Peng Jiang, Xirong Li:
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching. 5496-5503 - Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, Yao Zhao:
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning. 5504-5512 - Minghao Liu, Wenhan Yang, Jinyi Luo, Jiaying Liu:
UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration. 5513-5522 - Mushui Liu, Yuhang Ma, Zhen Yang, Jun Dan, Yunlong Yu, Zeng Zhao, Zhipeng Hu, Bai Liu, Changjie Fan:
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation. 5523-5531 - Qinglin Liu, Zonglin Li, Xiaoqian Lv, Xin Sun, Ru Li, Shengping Zhang:
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints. 5532-5540 - Shanyuan Liu, Bo Cheng, Yuhang Ma, Liebucha Wu, Ao Ma, Xiaoyu Wu, Dawei Leng, Yuhui Yin:
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities. 5541-5549 - Shiyu Liu, Daoqiang Zhang, Xiaoke Hao:
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation. 5550-5557 - Shuhong Liu, Xiang Chen, Hongming Chen, Quanfeng Xu, Mingrui Li:
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments. 5558-5566 - Siyu Liu, Zheng-Peng Duan, Jia Ouyang, Jiayi Fu, Hyunhee Park, Zikun Liu, Chun-Le Guo, Chongyi Li:
FaceMe: Robust Blind Face Restoration with Personal Identification. 5567-5575 - Tao Liu, Rongjie Li, Chongyu Wang, Xuming He:
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation. 5576-5584
Technical Tracks 6
- Tao Liu, Ziyang Ma, Qi Chen, Feilong Chen, Shuai Fan, Xie Chen, Kai Yu:
VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization. 5586-5594 - Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin:
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. 5595-5603 - Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue:
Training Matting Models Without Alpha Labels. 5604-5612 - Xianzhu Liu, Xin Sun, Haozhe Xie, Zonglin Li, Ru Li, Shengping Zhang:
Multi-view Consistent 3D Panoptic Scene Understanding. 5613-5621 - Xiaoyang Liu, Boran Wen, Xinpeng Liu, Zizheng Zhou, Hongwei Fan, Cewu Lu, Lizhuang Ma, Yulong Chen, Yong-Lu Li:
Interacted Object Grounding in Spatio-Temporal Human-Object Interactions. 5622-5630 - Xingbo Liu, Xuening Zhang, Xiushan Nie, Yang Shi, Yilong Yin:
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval. 5631-5639 - Xinyue Liu, Jianyuan Wang, Biao Leng, Shuo Zhang:
Unlocking the Potential of Reverse Distillation for Anomaly Detection. 5640-5648 - Yajie Liu, Guodong Wang, Jinjin Zhang, Qingjie Liu, Di Huang:
Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation. 5649-5657 - Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes. 5658-5666 - Yang Liu, Shudong Huang, Deng Xiong, Jiancheng Lv:
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval. 5667-5675 - Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv:
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. 5676-5684 - Yaqi Liu, Shuhuan Chen, Haichao Shi, Xiao-Yu Zhang, Song Xiao, Qiang Cai:
MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder. 5685-5693 - Yating Liu, Yujie Zhang, Ziyu Shan, Yiling Xu:
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment. 5694-5702 - Yating Liu, Zimo Liu, Xiangyuan Lan, Wenming Yang, Yaowei Li, Qingmin Liao:
DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval. 5703-5711 - Yidi Liu, Dong Li, Jie Xiao, Yuanfei Bao, Senyan Xu, Xueyang Fu:
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration. 5712-5720 - Yishu Liu, Jiawei Zhu, Congcong Wen, Guangming Lu, Hui Lin, Bingzhi Chen:
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization. 5721-5729 - Yulong Liu, Yongqiang Ma, Guibo Zhu, Haodong Jing, Nanning Zheng:
See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI. 5730-5738 - Yuqi Liu, Wenqian Zhang, Sihan Ren, Chengyu Huang, Jingyi Yu, Lan Xu:
SCOPE: Sign Language Contextual Processing with Embedding from LLMs. 5739-5747 - Yuti Liu, Shice Liu, Junyuan Gao, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li:
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning. 5748-5756 - Zongxin Liu, Zhe Zhao, Fu Song, Jun Sun, Pengfei Yang, Xiaowei Huang, Lijun Zhang:
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency. 5757-5765 - Xing Liufu, Chaolei Tan, Xiaotong Lin, Yonggang Qi, Jinxuan Li, Jian-Fang Hu:
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection. 5766-5774 - Jiahuan Long, Zhengqin Xu, Tingsong Jiang, Wen Yao, Shuai Jia, Chao Ma, Xiaoqian Chen:
Robust SAM: On the Adversarial Robustness of Vision Foundation Models. 5775-5783 - Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang, Jianguo Zhang, Yuming Fang:
Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions. 5784-5792 - Andong Lu, Wanyu Wang, Chenglong Li, Jin Tang, Bin Luo:
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba. 5793-5801 - Bin Lu, Xinyu Xiao, Changzhou Zhang, Yang Zhou, Zhiyu Xiang, Hangguan Shan, Eryun Liu:
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators. 5802-5810 - Hao Lu, Yunpeng Zhang, Guoqing Wang, Qing Lian, Dalong Du, Ying-Cong Chen:
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering. 5811-5819 - Jiawei Lu, Yingpeng Zhang, Zengjun Zhao, He Wang, Kun Zhou, Tianjia Shao:
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation. 5820-5828 - Yifan Lu, Jiajun Le, Zizhuo Li, Yixuan Yuan, Jiayi Ma:
DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning. 5829-5837 - Yuhang Lu, Yichen Yao, Jiadong Tu, Jiangnan Shao, Yuexin Ma, Xinge Zhu:
Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving. 5838-5846 - Dezhao Luo, Shaogang Gong, Jiabo Huang, Hailin Jin, Yang Liu:
Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval. 5847-5855 - Jinting Luo, Ru Li, Chengzhi Jiang, Xiaoming Zhang, Mingyan Han, Ting Jiang, Haoqiang Fan, Shuaicheng Liu:
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal. 5856-5864 - Naisong Luo, Guoxin Xiong, Tianzhu Zhang:
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation. 5865-5873 - Zichen Luo, Xinshan Zhu, Lan Zhang, Biao Sun:
Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation. 5874-5882 - Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang:
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models. 5883-5891 - Feixiao Lv, Rui Wang, Lihua Jing:
Revisiting Change Captioning from Self-supervised Global-Part Alignment. 5892-5900 - Kai Lv, Yunlong Li, Zhuo Chen, Shuo Wang, Sheng Han, Youfang Lin:
Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification. 5901-5909 - Liang Lv, Lefei Zhang:
ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation. 5910-5918 - Jiahao Lyu, Wei Wang, Dongbao Yang, Jinwen Zhong, Yu Zhou:
Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance. 5919-5927 - Kedi Lyu, Haipeng Chen, Zhenguang Liu, Yifang Yin, Yukang Lin, Yingying Jiao:
HVIS: A Human-like Vision and Inference System for Human Motion Prediction. 5928-5936 - Shuai Lyu, Rongchen Zhang, Zeqi Ma, Fangjian Liao, Dongmei Mo, Waikeung Wong:
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context. 5937-5945 - Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Zaman Chowdury, Xinhai Hou, Edward S. Harake, Akhil Kondepudi, Christian W. Freudiger, Honglak Lee, Todd C. Hollon:
Step-Calibrated Diffusion for Biomedical Optical Image Restoration. 5946-5954 - Jian Ma, Yonglin Deng, Chen Chen, Nanyang Du, Haonan Lu, Zhenyu Yang:
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models. 5955-5963 - Jitao Ma, Weiying Xie, Hangyu Ye, Daixun Li, Leyuan Fang:
Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection. 5964-5972 - Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer:
Does VLM Classification Benefit from LLM Description Semantics? 5973-5981 - Shiyuan Ma, Donglin Qian, Kai Ye, Shengchuan Zhang:
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection. 5982-5990 - Weijian Ma, Ruoxin Chen, Ke-Yue Zhang, Shuang Wu, Shouhong Ding:
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning. 5991-5999 - Xin Ma, Jiguang Zhang, Peng Lu, Shibiao Xu, Chengwei Pan:
Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving. 6000-6008 - Xinghua Ma, Xinyan Fang, Mingye Zou, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li:
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography. 6009-6017 - Yue Ma, Yingqing He, Hongfa Wang, Andong Wang, Leqi Shen, Chenyang Qi, Jixuan Ying, Chengfei Cai, Zhifeng Li, Heung-Yeung Shum, Wei Liu, Qifeng Chen:
Follow-Your-Click: Open-domain Regional Image Animation via Motion Prompts. 6018-6026 - Yuhang Ma, Wenting Xu, Chaoyi Zhao, Keqiang Sun, Qinfeng Jin, Xiaoda Yang, Zeng Zhao, Changjie Fan, Zhipeng Hu:
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection. 6027-6035 - Zhen-Xiang Ma, Zhen-Duo Chen, Tai Zheng, Xin Luo, Zixia Jia, Xin-Shun Xu:
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling. 6036-6044 - Huayu Mai, Rui Sun, Feng Wu:
Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation. 6045-6053 - Xinji Mai, Haoran Wang, Zeng Tao, Junxiong Lin, Shaoqi Yan, Yan Wang, Jiawen Yu, Xuan Tong, Yating Li, Wenqiang Zhang:
OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive Problem. 6054-6062 - Aihua Mao, Yuxuan Tang, Jiangtao Huang, Ying He:
DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer. 6063-6071 - Ruixin Mao, Aoyu Shen, Lin Tang, Jun Zhou:
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics. 6072-6080 - Hefei Mei, Minjing Dong, Chang Xu:
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. 6081-6089 - Chutian Meng, Fan Ma, Jiaxu Miao, Chi Zhang, Yi Yang, Yueting Zhuang:
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models. 6090-6098 - Fan'an Meng, Chaoran Cui, Hongjun Dai, Shuai Gong:
Black-Box Test-Time Prompt Tuning for Vision-Language Models. 6099-6107 - Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding:
Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction. 6108-6116 - Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding:
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening. 6117-6125 - Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang:
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models. 6126-6134 - Yucong Meng, Zhiwei Yang, Yonghong Shi, Zhijian Song:
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification. 6135-6143 - Honglei Miao, Fan Ma, Ruijie Quan, Kun Zhan, Yi Yang:
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion. 6144-6152 - Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu:
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. 6153-6163 - Chenyu Mu, Jiahua Li, Kun Wei, Cheng Deng:
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World. 6164-6172 - JeongYeon Nam, Jinbae Im, Wonjae Kim, Taeho Kil:
Extract Free Dense Misalignment from CLIP. 6173-6181 - Kartik Narayan, Vibashan VS, Vishal M. Patel:
SegFace: Face Segmentation of Long-Tail Classes. 6182-6190 - Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran, Tae Jong Choi:
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation. 6191-6199 - Hung Nguyen, Quang Qui-Vinh Nguyen, Khoi Nguyen, Rang Nguyen:
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models. 6200-6208 - Son Minh Nguyen, Duc Viet Le, Paul J. M. Havinga:
iMoT: Inertial Motion Transformer for Inertial Navigation. 6209-6217 - Thong Thanh Nguyen, Xiaobao Wu, Yi Bin, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation. 6218-6226 - Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, Zhiyuan Hu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Multi-Scale Contrastive Learning for Video Temporal Grounding. 6227-6235 - Ziming Nie, Qiao Wu, Chenlei Lv, Siwen Quan, Zhaoshuai Qi, Muze Wang, Jiaqi Yang:
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network. 6236-6244 - Hongwei Niu, Linhuang Xie, Jianghang Lin, Shengchuan Zhang:
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation. 6245-6253 - Hongwei Niu, Jie Hu, Jianghang Lin, Guannan Jiang, Shengchuan Zhang:
EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation. 6254-6262 - Chao Pan, Yu Wu, Ke Tang, Qing Li, Xin Yao:
Efficient Robustness Evaluation via Constraint Relaxation. 6263-6271 - Delin Pan, Jiansong Fan, Jie Zhu, Llihua Li, Xiang Pan:
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation. 6272-6280 - Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiahao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang:
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community. 6281-6289 - Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang:
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space. 6290-6298 - Qingtao Pan, Wenhao Qiao, Jingjiao Lou, Bing Ji, Shuo Li:
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation. 6299-6307 - Shaoyan Pan, Yikang Liu, Lin Zhao, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun:
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy. 6308-6316 - Wenjie Pan, Jianqing Zhu, Huanqiang Zeng:
Fair Training with Zero Inputs. 6317-6325 - Xiaotian Pan, Zhaobo Qi, Xin Sun, Yuanrong Xu, Weigang Zhang:
Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional Videos. 6326-6334 - Yimu Pan, Sitao Zhang, Alison D. Gernand, Jeffery A. Goldstein, James Z. Wang:
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging. 6335-6344 - Yiyuan Pan, Yunzhe Xu, Zhe Liu, Hesheng Wang:
Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation. 6345-6353 - Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li:
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations. 6354-6362 - Zirui Pan, Xin Wang, Yipeng Zhang, Hong Chen, Kwan Man Cheng, Yaofei Wu, Wenwu Zhu:
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM. 6363-6371 - Subhodip Panda, Shashwat Sourav, Prathosh A. P.:
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective. 6372-6380 - Chao Pang, Xingxing Weng, Jiang Wu, Jiayu Li, Yi Liu, Jiaxing Sun, Weijia Li, Shuai Wang, Litong Feng, Gui-Song Xia, Conghui He:
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis. 6381-6388 - Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang:
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers. 6389-6397 - Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye:
Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. 6398-6405 - Joon Hyun Park, Kumju Jo, Sungyong Baik:
SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models. 6406-6415 - Karam Park, Jae Woong Soh, Nam Ik Cho:
Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution. 6416-6424 - Suho Park, SuBeen Lee, Hyun Seok Seong, Jaejoon Yoo, Jae-Pil Heo:
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation. 6425-6433 - Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang:
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. 6434-6442 - Xiaohuan Pei, Tao Huang, Chang Xu:
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. 6443-6451 - Jinjia Peng, Songyu Zhang, Huibing Wang:
CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification. 6452-6460 - Lintao Peng, Liheng Bian:
Adaptive Dual-domain Learning for Underwater Image Enhancement. 6461-6469 - Long Peng, Yang Wang, Xin Di, Peizhe Xia, Xueyang Fu, Yang Cao, Zheng-Jun Zha:
Boosting Image De-Raining via Central-Surrounding Synergistic Convolution. 6470-6478 - Luying Peng, Xiangbo Shu, Yazhou Yao, Guo-Sen Xie:
3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition. 6479-6487 - Shi-Feng Peng, Guolei Sun, Yong Li, Hongsong Wang, Guo-Sen Xie:
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation. 6488-6496 - Xiongfeng Peng, Zhihua Liu, Weiming Li, Yamin Mao, Qiang Wang:
OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow. 6497-6505 - Yan-Tsung Peng, Guan-Rong Chen:
HVDualformer: Histogram-Vision Dual Transformer for White Balance. 6506-6513 - Duc-Hai Pham, Duc Dung Nguyen, Anh Pham, Tuan Ho, Phong Nguyen, Khoi Nguyen, Rang Nguyen:
Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance. 6514-6522 - Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li:
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection. 6523-6531 - Bin Pu, Xingguo Lv, Jiewen Yang, Xingbo Dong, Yiqun Lin, Shengli Li, Kenli Li, Xiaomeng Li:
Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation. 6532-6540 - Jiahao Qi, Xingyue Liu, Chen Chen, Dehui Zhu, Kangcheng Bin, Ping Zhong:
Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery. 6541-6549 - Linfeng Qi, Huibing Wang, Jiqing Zhang, Jinjia Peng, Yang Wang:
Unsupervised Domain Adaptive Person Search via Dual Self-Calibration. 6550-6558 - Qiang Qi, Xiao Wang:
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection. 6559-6567 - Wei Qian, Gaoji Su, Dan Guo, Jinxing Zhou, Xiaobai Li, Bin Hu, Shengeng Tang, Meng Wang:
PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement. 6568-6576 - Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu:
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. 6577-6585 - Shengye Qiao, Changqun Xia, Yanjie Liang, Gongjin Lan, Jia Li:
Holistic Correction with Object Prototype for Video Object Segmentation. 6586-6593 - Mengjie Qin, Yuchao Feng, Zongliang Wu, Yulun Zhang, Xin Yuan:
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging. 6594-6602 - Yuhao Qing, Dan Zeng, Shaorong Xie, Kaer Huang, Yueying Wang:
Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation. 6603-6611 - Shoumeng Qiu, Xinrun Li, Xiangyang Xue, Jian Pu:
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation. 6612-6620 - Yu Qiu, Sijia Wen, Hainan Zhang, Zhiming Zheng:
High-Fidelity Polarimetric Implicit 3D Reconstruction with View-Dependent Physical Representation. 6621-6629 - Yuhao Qiu, Shuyan Bai, Tingfa Xu, Peifu Liu, Haolin Qin, Jianan Li:
HSOD-BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection. 6630-6638 - Wentian Qu, Jiahe Li, Jian Cheng, Jian Shi, Chenyu Meng, Cuixia Ma, Hongan Wang, Xiaoming Deng, Yinda Zhang:
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation. 6639-6647 - Wentian Qu, Chenyu Meng, Heng Li, Jian Cheng, Cuixia Ma, Hongan Wang, Xiao Zhou, Xiaoming Deng, Ping Tan:
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation. 6648-6656 - Yuhui Quan, Xi Wan, Zitao Tang, Jinxiu Liang, Hui Ji:
Multi-Focus Image Fusion via Explicit Defocus Blur Modelling. 6657-6665 - Ryan Rabinowitz, Steve Cruz, Manuel Günther, Terrance E. Boult:
GHOST: Gaussian Hypothesis Open-Set Technique. 6666-6674 - Sudarshan Rajagopalan, Vishal M. Patel:
AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning. 6675-6683 - Ran Ran, Jiwei Wei, Xiangyi Cai, Xiang Guan, Jie Zou, Yang Yang, Heng Tao Shen:
CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer. 6684-6692
Technical Tracks 7
- Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. 6694-6702 - Haocong Rao, Chunyan Miao:
Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification. 6703-6712 - Omer Regev, Omri Avrahami, Dani Lischinski:
Click2Mask: Local Editing with Dynamic Mask Generation. 6713-6721 - Yang Ren, Hai Jiang, Menglong Yang, Wei Li, Shuaicheng Liu:
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency. 6722-6730 - Yuchen Ren, Zhengyu Zhao, Chenhao Lin, Bo Yang, Lu Zhou, Zhe Liu, Chao Shen:
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path. 6731-6739 - Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu, Yuzhuo Fu:
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios. 6740-6748 - Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang, Hongfei Xue, Srijan Das, Chen Chen:
GenHMR: Generative Human Mesh Recovery. 6749-6757 - Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu:
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models. 6758-6766 - Sheng Shang, Chenglong Zhao, Ruixin Zhang, Jianlong Jin, Jingyun Zhang, Rizen Guo, Shouhong Ding, Yunsheng Wu, Yang Zhao, Wei Jia:
PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks. 6767-6775 - Zirui Shang, Yubo Zhu, Hongxi Li, Shuo Yang, Xinxiao Wu:
Video Summarization Using Denoising Diffusion Probabilistic Model. 6776-6784 - Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Yang Wei:
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. 6785-6794 - Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, Jinhui Tang:
IMAGDressing-v1: Customizable Virtual Dressing. 6795-6804 - Huawen Shen, Gengluo Li, Jinwen Zhong, Yu Zhou:
LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining. 6805-6813 - Junao Shen, Qiyun Hu, Tian Feng, Xinyu Wang, Hui Cui, Sensen Wu, Wei Zhang:
In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images. 6814-6822 - Tianqi Shen, Shaohua Liu, Jiaqi Feng, Ziye Ma, Ning An:
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity. 6823-6832 - Xuelin Shen, Yitong Wang, Silin Zheng, Kang Xiao, Wenhan Yang, Xu Wang:
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors. 6833-6841 - Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz:
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. 6842-6850 - Yufan Shen, Chuwei Luo, Zhaoqing Zhu, Yang Chen, Qi Zheng, Zhi Yu, Jiajun Bu, Cong Yao:
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data. 6851-6859 - Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl:
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. 6860-6868 - Ji Shi, Xianghua Ying, Ruohao Guo, Bowei Xing, Wenzhen Yue:
Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes. 6869-6877 - Rui Shi, Yishun Dou, Zhong Zheng, Xiangzhong Fang, Wenjun Zhang, Bingbing Ni:
Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation. 6878-6886 - Shuwei Shi, Wenbo Li, Yuechen Zhang, Jingwen He, Biao Gong, Yinqiang Zheng:
ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance. 6887-6895 - Zican Shi, Jing Hu, Jie Ren, Hengkang Ye, Xuyang Yuan, Yan Ouyang, Jia He, Bo Ji, Junyu Guo:
HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection. 6896-6904 - Chun-Yen Shih, Li-Xuan Peng, Jia-Wei Liao, Ernie Chu, Cheng-Fu Chou, Jun-Cheng Chen:
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models. 6905-6913 - Peiyao Shou, Yixiu Liu, Wei Wang, Yaoqi Sun, Zhigao Zheng, Shangdong Zhu, Chenggang Yan:
SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection. 6914-6921 - Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram:
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation. 6922-6930 - Arkaprava Sinha, Dominick Reilly, François Brémond, Pu Wang, Srijan Das:
SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living. 6931-6939 - Taein Son, Soo Won Seo, Jisong Kim, Seok Hwan Lee, Jun Won Choi:
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts. 6940-6949 - Jia Song, Chenglizhao Chen, Xu Yu, Shanchen Pang:
Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance Ranking. 6950-6958 - Wenfeng Song, Yang Ding, Fei Hou, Shuai Li, Aimin Hao, Xia Hou:
CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks. 6959-6967 - Xingke Song, Xiaoying Yang, Chenglin Yao, Jianfeng Ren, Ruibin Bai, Xin Chen, Xudong Jiang:
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps. 6968-6977 - Zikai Song, Run Luo, Lintao Ma, Ying Tang, Yi-Ping Phoebe Chen, Junqing Yu, Wei Yang:
Temporal Coherent Object Flow for Multi-Object Tracking. 6978-6986 - Aishwarya Soni, Tanima Dutta:
Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation. 6987-6995 - Federico Spurio, Emad Bahrami, Gianpiero Francesca, Juergen Gall:
Hierarchical Vector Quantization for Unsupervised Action Segmentation. 6996-7005 - Max Staats, Matthias Thamm, Bernd Rosenow:
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning. 7006-7014 - Kunming Su, Qiuxia Wu, Panpan Cai, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu:
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning. 7015-7023 - Lei Su, Xiaochen Ma, Xuekang Zhu, Chaoqun Niu, Zeyu Lei, Jizhe Zhou:
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer. 7024-7032 - Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou:
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution. 7033-7041 - Xiongfei Su, Siyuan Li, Yuning Cui, Miao Cao, Yulun Zhang, Zheng Chen, Zongliang Wu, Zedong Wang, Yuanlong Zhang, Xin Yuan:
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing. 7042-7050 - Xiongfei Su, Tianyi Zhu, Lina Liu, Zheng Chen, Yulun Zhang, Siyuan Li, Juntian Ye, Feihu Xu, Xin Yuan:
Dual-branch Graph Feature Learning for NLOS Imaging. 7051-7059 - Yifei Su, Dong An, Kehan Chen, Weichen Yu, Baiyang Ning, Yonggen Ling, Yan Huang, Liang Wang:
Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation. 7060-7068 - Yuchen Su, Zhineng Chen, Yongkun Du, Zhilong Ji, Kai Hu, Jinfeng Bai, Xieping Gao:
Explicit Relational Reasoning Network for Scene Text Detection. 7069-7077 - Boyi Sun, Yuhang Liu, Xingxia Wang, Bin Tian, Long Chen, Fei-Yue Wang:
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving. 7078-7086 - Haopeng Sun, Yingwei Zhang, Lumin Xu, Sheng Jin, Yiqiang Chen:
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer. 7087-7095 - Jingyuan Sun, Mingxiao Li, Marie-Francine Moens:
NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings. 7096-7104 - Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao:
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment. 7105-7113 - Shoukun Sun, Min Xian, Tiankai Yao, Fei Xu, Luca Capriotti:
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation. 7114-7121 - Weilin Sun, Xinran Li, Manyi Li, Kai Xu, Xiangxu Meng, Lei Meng:
Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model. 7122-7130 - Xiaolong Sun, Liushuai Shi, Le Wang, Sanping Zhou, Kun Xia, Yabing Wang, Gang Hua:
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding. 7131-7139 - Xunpei Sun, Gang Chen, Zuoxun Hou:
M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving. 7140-7148 - Zelong Sun, Dong Jing, Guoxing Yang, Nanyi Fei, Zhiwu Lu:
Leveraging Large Vision-Language Model as User Intent-Aware Encoder for Composed Image Retrieval. 7149-7157 - Zhaoyang Sun, Fei Du, Weihua Chen, Fan Wang, Yaxiong Chen, Yi Rong, Shengwu Xiong:
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation. 7158-7166 - Kim Sung-Bin, Kim Jun-Seong, Junseok Ko, Yewon Kim, Tae-Hyun Oh:
SoundBrush: Sound as a Brush for Visual Scene Editing. 7167-7175 - Janani Suresh, Nancy Nayak, Sheetal Kalyani:
First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks. 7176-7183 - Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei:
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. 7184-7192 - Jiawei Tan, Hongxing Wang, Kang Dang, Jiaxin Li, Zhilong Ou:
Modality-Aware Shot Relating and Comparing for Video Scene Detection. 7193-7201 - Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding:
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. 7202-7210 - Xichen Tan, Yuanjing Luo, Yunfan Ye, Fang Liu, Zhiping Cai:
ALLVB: All-in-One Long Video Understanding Benchmark. 7211-7219 - Feilong Tang, Zhongxing Xu, Ming Hu, Wenxue Li, Peng Xia, Yiheng Zhong, Hanjun Wu, Jionglong Su, Zongyuan Ge:
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation. 7220-7228 - Hao Tang, Siyue Yu, Jian Pang, Bingfeng Zhang:
A Training-free Synthetic Data Selection Method for Semantic Segmentation. 7229-7237 - Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang:
MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval. 7238-7246 - Kunming Tang, Zhiguo Jiang, Jun Shi, Wei Wang, Haibo Wu, Yushan Zheng:
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis. 7247-7256 - Luyang Tang, Jiayu Yang, Rui Peng, Yongqi Zhai, Shihe Shen, Ronggang Wang:
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame. 7257-7265 - Shengeng Tang, Jiayi He, Dan Guo, Yanyan Wei, Feng Li, Richang Hong:
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production. 7266-7274 - Tao Tang, Dafeng Wei, Zhengyu Jia, Tian Gao, Changwei Cai, Chengkai Hou, Peng Jia, Kun Zhan, Haiyang Sun, Jingchen Fan, Yixing Zhao, Xiaodan Liang, Xianpeng Lang, Yang Wang:
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving. 7275-7283 - Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen:
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding. 7284-7292 - Yunlong Tang, Daiki Shimada, Jing Bi, Mingqian Feng, Hang Hua, Chenliang Xu:
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding. 7293-7301 - Yunlong Tang, Gen Zhan, Li Yang, Yiting Liao, Chenliang Xu:
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion. 7302-7310 - Zhenhua Tang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Richang Hong:
RAGG: Retrieval-Augmented Grasp Generation Model. 7311-7319 - Zhenyu Tang, Junwu Zhang, Xinhua Cheng, Wangbo Yu, Chaoran Feng, Yatian Pang, Bin Lin, Li Yuan:
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle. 7320-7328 - Zhihao Tang, Xi Zhang, Chaozhuo Li:
From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction. 7329-7337 - Zichen Tang, Hongyu Yang, Hanchen Zhang, Jiaxin Chen, Di Huang:
3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling. 7338-7346 - Fenfang Tao, Guo-Sen Xie, Fang Zhao, Xiangbo Shu:
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection. 7347-7355 - Xiao Teng, Long Lan, Dingyao Chen, Kele Xu, Nan Yin:
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors. 7356-7364 - Haitao Tian, Pierre Payeur:
Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos. 7365-7373 - Qijian Tian, Xin Tan, Yuan Xie, Lizhuang Ma:
DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input. 7374-7382 - Xuanyu Tian, Lixuan Chen, Qing Wu, Chenhe Du, Jingjing Shi, Hongjiang Wei, Yuyao Zhang:
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction. 7383-7391 - Yu Tian, Yixuan Li, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Sam Kwong:
AI-generated Image Quality Assessment in Visual Communication. 7392-7400 - Yunjie Tian, Tianren Ma, Lingxi Xie, Qixiang Ye:
ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions. 7401-7409 - Tianyidan Xie, Rui Ma, Qian Wang, Xiaoqian Ye, Feixuan Liu, Ying Tai, Zhenyu Zhang, Lanjun Wang, Zili Yi:
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation. 7410-7418 - Tony Cheng Tong, Sirui He, Zhiwen Shao, Dit-Yan Yeung:
G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o. 7419-7427 - Xin Tong, Shi Peng, Baojie Tian, Yufei Guo, Xuhui Huang, Zhe Ma:
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking. 7428-7436 - Tze Ho Elden Tse, Runyang Feng, Linfang Zheng, Jiho Park, Yixing Gao, Jihie Kim, Ales Leonardis, Hyung Jin Chang:
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics. 7437-7445 - Yu-Wen Tseng, Sheng-Ping Yang, Jhih-Ciang Wu, I-Bin Liao, Yung-Hui Li, Hong-Han Shuai, Wen-Huang Cheng:
Memory-Augmented Re-Completion for 3D Semantic Scene Completion. 7446-7454 - Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian:
TextToucher: Fine-Grained Text-to-Touch Generation. 7455-7463 - Yunbin Tu, Liang Li, Li Su, Qingming Huang:
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning. 7464-7472 - Sung Jin Um, Dongjin Kim, Sangmin Lee, Jung Uk Kim:
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection. 7473-7481 - Zishuo Wan, Yu Gao, Wanyuan Pang, Dawei Ding:
VOILA: Complexity-Aware Universal Segmentation of CT Images by Voxel Interacting with Language. 7482-7490 - An-Lan Wang, Bin Shan, Wei Shi, Kun-Yu Lin, Xiang Fei, Guozhi Tang, Lei Liao, Jingqun Tang, Can Huang, Wei-Shi Zheng:
ParGo: Bridging Vision-Language with Partial and Global Views. 7491-7499 - Aowen Wang, Zhiwang Zhang, Dongang Wang, Fanyi Wang, Haotian Hu, Jinyang Guo, Yipeng Zhou, Chaoyi Pang, Shiting Wen:
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach. 7500-7508 - Benzhi Wang, Jingkai Zhou, Jingqi Bai, Yang Yang, Weihua Chen, Fan Wang, Zhen Lei:
RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images. 7509-7517 - Bo Wang, Zhao Zhang, Suiyi Zhao, Xianming Ye, Haijun Zhang, Meng Wang:
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection. 7518-7526 - Changshuo Wang, Shuting He, Xiang Fang, Meiqing Wu, Siew-Kei Lam, Prayag Tiwari:
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation. 7527-7535 - Changwei Wang, Shunpeng Chen, Yukun Song, Rongtao Xu, Zherui Zhang, Jiguang Zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu:
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition. 7536-7544 - Chaoyang Wang, Xiangtai Li, Henghui Ding, Lu Qi, Jiangning Zhang, Yunhai Tong, Chen Change Loy, Shuicheng Yan:
Explore In-Context Segmentation via Latent Diffusion Models. 7545-7553 - Chen Wang, Liyuan Zhang, Le Hui, Qi Liu, Yuchao Dai:
Geometry-Aware 3D Salient Object Detection Network. 7554-7562 - Chengpeng Wang, Li Chen, Lili Wang, Zhaofan Li, Xuebin Lv:
QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition. 7563-7572 - Chengrui Wang, Pengfei Liu, Min Zhou, Ming Zeng, Xubin Li, Tiezheng Ge, Bo Zheng:
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance. 7573-7581 - Chenxu Wang, Chunyan Xu, Xiang Li, YuXuan Li, Xu Guo, Ziqi Gu, Zhen Cui:
Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection. 7582-7590 - Chenye Wang, Saihui Hou, Aoqi Li, Qingyuan Cai, Yongzhen Huang:
RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition. 7591-7599 - Chuanming Wang, Yuxin Yang, Mengshi Qi, Huanhuan Zhang, Huadong Ma:
Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework. 7600-7608 - Cong Wang, Jinshan Pan, Liyan Wang, Wei Wang:
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration. 7609-7618 - Cunzheng Wang, Ziyuan Guo, Yuxuan Duan, Huaxia Li, Nemo Chen, Xu Tang, Yao Hu:
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance. 7619-7627 - Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen:
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. 7628-7636 - Fu Wang, Yanghao Zhang, Xiangyu Yin, Guangliang Cheng, Zeyu Fu, Xiaowei Huang, Wenjie Ruan:
A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection. 7637-7645 - Fuyun Wang, Tong Zhang, Yuanzhi Wang, Xiaoya Zhang, Xin Liu, Zhen Cui:
Scene Graph-Grounded Image Generation. 7646-7654 - Gui Wang, Yuexiang Li, Wenting Chen, Meidan Ding, Wooi Ping Cheah, Rong Qu, Jianfeng Ren, Linlin Shen:
S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation. 7655-7664 - Hao Wang, Lu Wang, Zhongyu Wang, Lixin Ma, Ye Luo:
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction. 7665-7673 - Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima:
BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs. 7674-7681 - Haoyu Wang, Zhilu Zhang, Donglin Di, Shiliang Zhang, Wangmeng Zuo:
MV-VTON: Multi-View Virtual Try-On with Diffusion Models. 7682-7690 - He Wang, Longquan Dai, Jinhui Tang:
EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization. 7691-7699 - Hongsong Wang, Andi Xu, Pinle Ding, Jie Gui:
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection. 7700-7708 - Hongyi Wang, Xiuju Du, Jing Liu, Shuyi Ouyang, Yen-Wei Chen, Lanfen Lin:
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images. 7709-7717 - Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang:
SpotActor: Training-Free Layout-Controlled Consistent Image Generation. 7718-7726 - Jiangang Wang, Qingnan Fan, Jinwei Chen, Hong Gu, Feng Huang, Wenqi Ren:
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution. 7727-7735 - Jiayu Wang, Yue Yu, Jingjing Chen, Qi Dai, Yu-Gang Jiang:
FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network. 7736-7743 - Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding. 7744-7752 - Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia:
Efficient Self-Supervised Video Hashing with Selective State Spaces. 7753-7761 - Junjie Wang, Bin Chen, Bin Kang, Yulin Li, Weizhi Xian, Yichi Chen, Yong Xu:
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision. 7762-7770 - Kai Wang, Shaozhang Niu, Qixian Hao, Jiwei Zhang:
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models. 7771-7779 - Kunpeng Wang, Keke Chen, Chenglong Li, Zhengzheng Tu, Bin Luo:
Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network. 7780-7788 - Li-Heng Wang, YuJu Cheng, Tyng-Luh Liu:
Tracking Everything Everywhere across Multiple Cameras. 7789-7797
Technical Tracks 8
- Lu Wang, Liuchi Xu, Xiong Yang, Zhenhua Huang, Jun Cheng:
Debiased Distillation for Consistency Regularization. 7799-7807 - Meng Wang, Huilong Pi, Ruihui Li, Yunchuan Qin, Zhuo Tang, Kenli Li:
VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion. 7808-7816 - Min Wang, Xin Huang, Guoqing Zhou, Qifeng Guo, Qing Wang:
Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images. 7817-7825 - Mingshen Wang, Zhao Zhang, Feng Li, Ke Xu, Kang Miao, Meng Wang:
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues. 7826-7834 - Qianqian Wang, Haiming Xu, Zihao Zhang, Wei Feng, Quanxue Gao:
Deep Multi-modal Graph Clustering via Graph Transformer Network. 7835-7843 - Ruofei Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan:
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. 7844-7852 - Shiqin Wang, Xin Xu, Haoyang Chen, Kui Jiang, Zheng Wang:
The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation. 7853-7861 - Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang:
GFlow: Recovering 4D World from Monocular Video. 7862-7870 - Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu:
Autoregressive Sequence Modeling for 3D Medical Image Representation. 7871-7879 - Siyu Wang, Cailian Chen, Xinyi Le, Qimin Xu, Lei Xu, Yanzhou Zhang, Jie Yang:
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs. 7880-7888 - Weihao Wang, Yu Lan, Mingyu You, Bin He:
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph. 7889-7897 - Weitao Wang, Haoran Xu, Yuxiao Yang, Zhifang Liu, Jun Meng, Haoqian Wang:
MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences. 7898-7906 - Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao:
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. 7907-7915 - Wenzhuang Wang, Mingcan Ma, Yong Chen, Changqun Xia, Zhenbao Liang, Jia Li:
FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis. 7916-7924 - Xi Wang, Xueyang Fu, Liang Li, Zheng-Jun Zha:
DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy. 7925-7933 - Xiao Wang, Lekai Liu, Bin Yang, Mang Ye, Zheng Wang, Xin Xu:
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification. 7934-7942 - Xiaolei Wang, Xiaoyang Wang, Huihui Bai, Eng Gee Lim, Jimin Xiao:
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection. 7943-7951 - Xiaolong Wang, Lei Yu, Yingying Zhang, Jiangwei Lao, Lixiang Ru, Liheng Zhong, Jingdong Chen, Yu Zhang, Ming Yang:
HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation. 7952-7960 - Xilin Wang, Jia Zheng, Yuanchao Hu, Hao Zhu, Qian Yu, Zihan Zhou:
From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach. 7961-7969 - Xingjian Wang, Li Chai:
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild. 7970-7978 - Xingmei Wang, Guohao Nie, Jiaxiang Meng, Zining Yan:
MIMTrack: In-Context Tracking via Masked Image Modeling. 7979-7987 - Xingrui Wang, Xin Li, Yaosi Hu, Hanxin Zhu, Chen Hou, Cuiling Lan, Zhibo Chen:
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation. 7988-7996 - Xinran Wang, Guang Yang, Tian Ye, Yun Liu:
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network. 7997-8005 - Xinyi Wang, Na Zhao, Zhiyuan Han, Dan Guo, Xun Yang:
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring. 8006-8014 - Xu Wang, Zilei Wang, Zihan Lin:
GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation. 8015-8023 - Xueyi Wang, Lele Zhang, Zheng Fan, Yang Liu, Chen Chen, Fang Deng:
From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization. 8024-8032 - Yabing Wang, Zhuotao Tian, Zheng Qin, Sanping Zhou, Le Wang:
RefDetector: A Simple Yet Effective Matching-based Method for Referring Expression Comprehension. 8033-8041 - Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang, Bifan Wei, Jun Liu:
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension. 8042-8050 - Ye Wang, Tongyuan Bai, Xuping Xie, Zili Yi, Yilin Wang, Rui Ma:
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models. 8051-8059 - Yeyuan Wang, Dehong Gao, Lei Yi, Linbo Jin, Jinxia Zhang, Libin Yang, Xiaoyan Cai:
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples. 8060-8068 - Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li:
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature. 8069-8077 - Yifan Wang, Wuliang Huang, Chun Yuan:
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences. 8078-8086 - Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma:
HoneypotNet: Backdoor Attacks Against Model Extraction. 8087-8095 - Youjia Wang, Yiwen Wu, Hengan Zhou, Hongyang Lin, Xingyue Peng, Jingyan Zhang, Yingsheng Zhu, Yingwenqi Jiang, Yatu Zhang, Lan Xu, Jingya Wang, Jingyi Yu:
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units. 8096-8104 - Yu Wang, Yunfei Liu, Fa-Ting Hong, Meng Cao, Lijian Lin, Yu Li:
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation. 8105-8113 - Yuan Wang, Ya-Li Li, Eastman Z. Y. Wu, Shengjin Wang:
LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding. 8114-8122 - Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang, Xin Liu, Zhen Cui, Antoni B. Chan:
Re-Attentional Controllable Video Diffusion Editing. 8123-8131 - Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian:
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation. 8132-8140 - Yuhao Wang, Yang Liu, Aihua Zheng, Pingping Zhang:
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification. 8141-8149 - Yuhao Wang, Xuehu Liu, Tianyu Yan, Yang Liu, Aihua Zheng, Pingping Zhang, Huchuan Lu:
MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt. 8150-8158 - Yuji Wang, Jingchen Ni, Yong Liu, Chun Yuan, Yansong Tang:
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis. 8159-8168 - Yujia Wang, Fang-Lue Zhang, Neil A. Dodgson:
Target Scanpath-Guided 360-Degree Image Enhancement. 8169-8177 - Yun Wang, Jiahao Zheng, Chenghao Zhang, Zhanjie Zhang, Kunhong Li, Yongjian Zhang, Junjie Hu:
DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision. 8178-8186 - Yuxiao Wang, Wenpeng Neng, Zhenao Wei, Yu Lei, Weiying Xue, Nan Zhuang, Yanwu Xu, Xinyu Jiang, Qi Liu:
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration. 8187-8195 - Yuxuan Wang, Yijun Liu, Fei Yu, Chen Huang, Kexin Li, Zhiguo Wan, Wanxiang Che, Hongyang Chen:
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation. 8196-8204 - Zeyu Wang, Chen Li, Huiying Xu, Xinzhong Zhu, Hongbo Li:
Mamba YOLO: A Simple Baseline for Object Detection with State Space Model. 8205-8213 - Zhen Wang, Zihang Lin, Meng Yuan, Yuehu Liu, Chi Zhang:
Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer. 8214-8222 - Zhen Wang, Yaozu Wu, Dongyuan Li, Shiyin Tan, Zhishuai Yin:
Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model. 8223-8231 - Zhiming Wang, Lin Gu, Feng Lu:
TdAttenMix: Top-Down Attention Guided Mixup. 8232-8240 - Zhishen Wang, Rui Wang, Lihua Jing:
Attention-Imperceptible Backdoor Attacks on Vision Transformers. 8241-8249 - Zhuhao Wang, Yihua Sun, Zihan Li, Xuan Yang, Fang Chen, Hongen Liao:
LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts. 8250-8258 - Zicheng Wang, Qiuxia Wu:
WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition. 8259-8267 - Zihao Wang, Yiming Huang, Gengyu Lyu, Yucheng Zhao, Ziyu Zhou, Bochen Xie, Zhen Yang, Yongjian Deng:
MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds. 8268-8276 - Baole Wei, Yuxuan Zhou, Liangcai Gao, Zhi Tang:
GlyphSR: A Simple Glyph-Aware Framework for Scene Text Image Super-Resolution. 8277-8285 - Jiangning Wei, Lixiong Qin, Bo Yu, Tianjian Zou, Chuhan Yan, Dandan Xiao, Yang Yu, Lan Yang, Ke Li, Jun Liu:
VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention. 8286-8294 - Xiaobao Wei, Peng Chen, Ming Lu, Hui Chen, Feng Tian:
GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians. 8295-8303 - Yang Wei, Jingyu Tan, Guowen Xu, Zhuoran Ma, Zhuo Ma, Bin Xiao:
Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning. 8304-8312 - Yu Wen, Chen Zhang, Chenhao Xie, Xin Fu:
Achieving Lightweight Super-Resolution for Real-Time Computer Graphics. 8313-8322 - Yuanbo Wen, Tao Gao, Jing Zhang, Ziqi Li, Ting Chen:
Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration. 8323-8331 - Wanjiang Weng, Hongsong Wang, Junbo Wang, Lei He, Guo-Sen Xie:
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation. 8332-8340 - Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen:
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. 8341-8350 - Dantong Wu, Zhiqiang Chen, Tianjiao Du, Peipei Ran, Mengchao Bai, Kai Zhang:
Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection. 8351-8358 - Dongming Wu, Wencheng Han, Yingfei Liu, Tiancai Wang, Cheng-Zhong Xu, Xiangyu Zhang, Jianbing Shen:
Language Prompt for Autonomous Driving. 8359-8367 - Dongyue Wu, Zilin Guo, Li Yu, Nong Sang, Changxin Gao:
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation. 8368-8376 - Feize Wu, Yun Pang, Junyi Zhang, Lianyu Pang, Jian Yin, Baoquan Zhao, Qing Li, Xudong Mao:
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization. 8377-8385 - Gang Wu, Junjun Jiang, Yijun Wang, Kui Jiang, Xianming Liu:
Debiased All-in-one Image Restoration with Task Uncertainty Regularization. 8386-8394 - Hongjing Wu, Siyuan Yao, Feng Huang, Shu Wang, Linchao Zhang, Zhuoran Zheng, Wenqi Ren:
LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning. 8395-8403 - Jiangjie Wu, Hongjiang Wei, Yuyao Zhang:
SVRMamba: Slice-to-Volume Reconstruction from Multiple MRI Stacks with Slice Sequence Guided Mamba. 8404-8412 - Mengyang Wu, Yuzhi Zhao, Jialun Cao, Mingjie Xu, Zhongming Jiang, Xuehui Wang, Qinbin Li, Guangneng Hu, Shengchao Qin, Chi-Wing Fu:
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation. 8413-8422 - Peng Wu, Wanshun Su, Xiangteng He, Peng Wang, Yanning Zhang:
VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval. 8423-8431 - Qi Wu, Mingyan Han, Ting Jiang, Chengzhi Jiang, Jinting Luo, Man Jiang, Haoqiang Fan, Shuaicheng Liu:
Realistic Noise Synthesis with Diffusion Models. 8432-8440 - Qiuxia Wu, Haiyang Huang, Kunming Su, Zhiyong Wang, Kun Hu:
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization. 8441-8449 - RuoCheng Wu, Zien Zhang, Shangqi Deng, Yule Duan, Liang-Jian Deng:
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening. 8450-8459 - Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. 8460-8468 - Tao Wu, Yong Zhang, Xintao Wang, Xianpan Zhou, Guangcong Zheng, Zhongang Qi, Ying Shan, Xi Li:
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities. 8469-8477 - Yirui Wu, Yuhang Xia, Hao Li, Lixin Yuan, Junyang Chen, Jun Liu, Tong Lu, Shaohua Wan:
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation. 8478-8486 - Yongliang Wu, Wenbo Zhu, Jiawang Cao, Yi Lu, Bozheng Li, Weiheng Chi, Zihan Qiu, Lirian Su, Haolin Zheng, Jay Wu, Xu Yang:
Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark. 8487-8495 - Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Heng Chang, Wenbo Zhu, Xinting Hu, Xiao Zhou, Xu Yang:
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient. 8496-8504 - Yue Wu, Zhipeng Wang, Yongzhe Yuan, Maoguo Gong, Hao Li, Mingyang Zhang, Wenping Ma, Qiguang Miao:
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency. 8505-8513 - Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu:
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views. 8514-8522 - Zhengqian Wu, Ruizhe Li, Zijun Xu, Zhongyuan Wang, Chunxia Xiao, Chao Liang:
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos. 8523-8531 - Zhenhua Wu, Linxuan Jiang, Xiang Li, Chaowei Fang, Yipeng Qin, Guanbin Li:
Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis. 8532-8540 - Zhiqiang Wu, Yingjie Liu, Licheng Sun, Jian Yang, Hanlin Dong, Shing-Ho J. Lin, Xuan Tang, Jinpeng Mi, Bo Jin, Xian Wei:
Relaxed Rotational Equivariance via G-Biases in Vision. 8541-8549 - Zimeng Wu, Jiaxin Chen, Yunhong Wang:
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models. 8550-8558 - Suyang Xi, Yunhao Liu, Hong Ding, Mingshuo Wang, Zhenghan Chen, Xiaoxuan Liang:
GEONet: Global Enhancement and Optimization Network for Lane Detection. 8559-8566 - Jiatong Xia, Libo Sun, Lingqiao Liu:
Enhancing Close-up Novel View Synthesis via Pseudo-labeling. 8567-8574 - Yifan Xia, Tianwei Ye, Huabing Zhou, Zhongyuan Wang, Jiayi Ma:
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps. 8575-8583 - Yifei Xia, Chu Zhou, Chengxuan Zhu, Chao Xu, Boxin Shi:
PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images. 8584-8592 - Xiaole Xian, Xilin He, Zenghao Niu, Junliang Zhang, Weicheng Xie, Siyang Song, Zitong Yu, Linlin Shen:
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing. 8593-8601 - Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng, Xiao Wu, Xian-Sheng Hua:
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search. 8602-8610 - Wenzhao Xiang, Chang Liu, Hongyang Yu, Xilin Chen:
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation. 8611-8619 - Xinyu Xiang, Qinglong Yan, Hao Zhang, Jianfeng Ding, Han Xu, Zhongyuan Wang, Jiayi Ma:
Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker. 8620-8627 - Xunzhi Xiang, Haiwei Xue, Zonghong Dai, Di Wang, Minglei Li, Ye Yue, Fei Ma, Weijiang Yu, Heng Chang, Fei Richard Yu:
ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters. 8628-8636 - Guobao Xiao, Xinyu Liu, Zebin Lin, Rui Ming:
SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection. 8637-8645 - Haoke Xiao, Lv Tang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li:
Boosting Vision State Space Model with Fractal Scanning. 8646-8654 - Jian Xiao, Zhenzhen Hu, Jia Li, Richang Hong:
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval. 8655-8663 - Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai:
Radiology Report Generation via Multi-objective Preference Optimization. 8664-8672 - Yao Xiao, Tingfa Xu, Yu Xin, Jianan Li:
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection. 8673-8681 - Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Bing Yin, Yin Lin, Cong Liu:
Cross-modulated Attention Transformer for RGBT Tracking. 8682-8690 - Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu:
Spatial Annealing for Efficient Few-shot Neural Rendering. 8691-8699 - Zeyu Xiao, Zhuoyuan Li, Wei Jia:
Occlusion-Embedded Hybrid Transformer for Light Field Super-Resolution. 8700-8708 - Jianxiang Xie, Yao Wu, Yachao Zhang, Zhongchao Shi, Jianping Fan, Yuan Xie, Yanyun Qu:
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation. 8709-8717 - Jingjing Xie, Yuxin Zhang, Jun Peng, Zhaohong Huang, Liujuan Cao:
TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning. 8718-8726 - Jinxia Xie, Bineng Zhong, Qihua Liang, Ning Li, Zhiyi Mo, Shuxiang Song:
Robust Tracking via Mamba-based Context-aware Token Learning. 8727-8735 - Lianxin Xie, Bingbing Zheng, Wen Xue, Yunfei Zhang, Le Jiang, Ruotao Xu, Si Wu, Hau-San Wong:
Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration. 8736-8744 - Peijin Xie, Lin Sun, Bingquan Liu, Dexin Wang, Xiangzheng Zhang, Chengjie Sun, Jiajia Zhang:
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules. 8745-8752 - Yifan Xie, Tao Feng, Xin Zhang, Xiangyang Luo, Zixuan Guo, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu:
PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis. 8753-8761 - Zhifeng Xie, Hao Li, Huiming Ding, Mengtian Li, Xinhan Di, Ying Cao:
HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models. 8762-8770 - Zhuyang Xie, Yan Yang, Yankai Yu, Jie Wang, Yongquan Jiang, Xiao Wu:
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning. 8771-8779 - Bing Xiong, Yue Peng, Ranran Zhang, Fuqiang Chen, Jiaye He, Wenjian Qin:
Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion. 8780-8787 - Jingqiao Xiu, Mengze Li, Zongxin Yang, Wei Ji, Yifang Yin, Roger Zimmermann:
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation. 8788-8796 - Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li:
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles. 8797-8805 - Cheng Xu, Fei Hou, Wencheng Wang, Hong Qin, Zhebin Zhang, Ying He:
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction. 8806-8814 - Cheng Xu, Weiwen Zhang, Hongrui Zhang, Xuemiao Xu, Huaidong Zhang, Jing Zou, Jing Qin:
FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization. 8815-8823 - Chenlong Xu, Bineng Zhong, Qihua Liang, Yaozong Zheng, Guorong Li, Shuxiang Song:
Less Is More: Token Context-Aware Learning for Object Tracking. 8824-8832 - Feifan Xu, Tianyi Chen, Fan Yang, Yunfei Zhang, Si Wu:
3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation. 8833-8841 - Feilong Xu, Feiyang Yang, Xiongfei Li, Xiaoli Zhang:
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation. 8842-8850 - Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu:
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. 8851-8859 - Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li:
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction. 8860-8868 - Huangbiao Xu, Xiao Ke, Huanqi Wu, Rui Xu, Yuezhou Li, Peirong Xu, Wenzhong Guo:
DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human Pose. 8869-8877 - Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao:
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. 8878-8886 - Jiamin Xu, Zelong Li, Yuxin Zheng, Chenyu Huang, Renshu Gu, Weiwei Xu, Gang Xu:
OmniSR: Shadow Removal Under Direct and Indirect Lighting. 8887-8895 - Jiyang Xu, Qi Wang, Xin Xiong, Di Gai, Ruihua Zhou, Dong Wang:
CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification. 8896-8904
Technical Tracks 9
- Kai Xu, Mingwen Shao, Yuanjian Qiao, Yan Wang:
Physical-aware Neural Radiance Fields for Efficient Exposure Correction. 8906-8914 - Kunlun Xu, Chenghao Jiang, Peixi Xiong, Yuxin Peng, Jiahuan Zhou:
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification. 8915-8923 - Qinfu Xu, Shaozu Yuan, Yiwei Wei, Jie Wu, Leiquan Wang, Chunlei Wu:
Multiple Feature Refining Network for Visual Emotion Distribution Learning. 8924-8932 - Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang, Hanzhi Zhong, Xijun Zhao, Ruina Dang, Peng Xu, Tianyu Pu, Eryun Liu:
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection. 8933-8941 - Senyan Xu, Zhijing Sun, Mingchen Zhong, Chengzhi Cao, Yidi Liu, Xueyang Fu, Yan Chen:
Motion-adaptive Transformer for Event-based Image Deblurring. 8942-8950 - Shaocong Xu, Pengfei Li, Qianpu Sun, Xinyu Liu, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Li Jiang, Hao Zhao, Yilun Chen:
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data. 8951-8959 - Wenting Xu, Viorela Ila, Luping Zhou, Craig T. Jin:
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances. 8960-8968 - Xinhua Xu, Hong Liu, Jianbing Wu, Jinfu Liu:
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes. 8969-8977 - Yifang Xu, Yunzhuo Sun, Benxiang Zhai, Ming Li, Wenxin Liang, Yang Li, Sidan Du:
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models. 8978-8986 - Yongchao Xu, Jiawei Liu, Sen Tao, Qiang Zhang, Zheng-Jun Zha:
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection. 8987-8995 - Yuhao Xu, Tao Gu, Weifeng Chen, Arlene Chen:
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On. 8996-9004 - Yunzhe Xu, Yiyuan Pan, Zhe Liu, Hesheng Wang:
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments. 9005-9013 - Zhengqin Xu, Zelin Peng, Xiaokang Yang, Wei Shen:
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models. 9014-9022 - Zhongxing Xu, Feilong Tang, Zhe Chen, Yingxue Su, Zhiyi Zhao, Ge Zhang, Jionglong Su, Zongyuan Ge:
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP. 9023-9031 - Aoru Xue, Yiming Ren, Zining Song, Mao Ye, Xinge Zhu, Yuexin Ma:
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments. 9032-9040 - Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang:
Towards Adversarially Robust Dataset Distillation by Curvature Regularization. 9041-9049 - Wangyu Xue, Chen Qian, Jiayi Wu, Yang Zhou, Wentao Liu, Ju Ren, Siming Fan, Yaoxue Zhang:
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries. 9050-9058 - Wen Xue, Chun Ding, Ruotao Xu, Si Wu, Yong Xu, Hau-San Wong:
RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. 9059-9067 - Yuliang Xue, Lei Tan, Guobiao Li, Zhenxing Qian, Sheng Li, Xinpeng Zhang:
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks. 9068-9075 - Dawei Yan, Pengcheng Li, Yang Li, Hao Chen, Qingguo Chen, Weihua Luo, Wei Dong, Qingsen Yan, Haokui Zhang, Chunhua Shen:
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings. 9076-9084 - Haojie Yan, Zhan Lu, Zehao Chen, De Ma, Huajin Tang, Qian Zheng, Gang Pan:
EvSTVSR: Event Guided Space-Time Video Super-Resolution. 9085-9093 - Hongyu Yan, Zijun Li, Kunming Luo, Li Lu, Ping Tan:
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance. 9094-9102 - Hujie Yan:
Towards Universal Rainy Image Restoration: Benchmark and Baseline. 9103-9111 - Ke Yan, Qing Cai, Fan Zhang, Ziyan Cao, Zhi Liu:
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation. 9112-9120 - Tianyi Yan, Junbo Yin, Xianpeng Lang, Ruigang Yang, Cheng-Zhong Xu, Jianbing Shen:
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving. 9121-9129 - YangTian Yan, Jinyu Tian:
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models. 9130-9138 - Canchen Yang, Tianyu Geng, Jian Peng, Chun Xu:
PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting. 9139-9147 - Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu:
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. 9148-9156 - Cundian Yang, Guibo Luo, Yuesheng Zhu, Jiaqi Li, Xiyao Liu:
Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment. 9157-9165 - Dejie Yang, Zijing Zhao, Yang Liu:
PlanLLM: Video Procedure Planning with Refinable Large Language Models. 9166-9174 - Enquan Yang, Peng Xing, Hanyang Sun, Wenbo Guo, Yuanwei Ma, Zechao Li, Dan Zeng:
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection. 9175-9183 - Guoyuan Yang, Mufan Xue, Ziming Mao, Haofang Zheng, Jia Xu, Dabin Sheng, Ruotian Sun, Ruoqi Yang, Xuesong Li:
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex. 9184-9192 - Hao Yang, Qianyu Zhou, Haijia Sun, Xiangtai Li, Fengqi Liu, Xuequan Lu, Lizhuang Ma, Shuicheng Yan:
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model. 9193-9201 - Jiangnan Yang, Shuangli Liu, Jingjun Wu, Xinyu Su, Nan Hai, Xueli Huang:
Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection. 9202-9210 - Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia:
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. 9211-9219 - Jiarui Yang, Chuan Wang, Jun Zhang, Shuyi Wu, Jinjing Zhao, Zeming Liu, Liang Yang:
Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation. 9220-9228 - Nan Yang, Yang Wang, Zhanwen Liu, Meng Li, Yisheng An, Xiangmo Zhao:
SMamba: Sparse Mamba for Event-based Object Detection. 9229-9237 - Rui Yang, Honghong Yang, Li Zhao, Qin Lei, Mianxiong Dong, Kaoru Ota, Xiaojun Wu:
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis. 9238-9246 - Senqiao Yang, Jiaming Liu, Renrui Zhang, Mingjie Pan, Ziyu Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Hongsheng Li, Yandong Guo, Shanghang Zhang:
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. 9247-9255 - Shurong Yang, Huadong Li, Juhao Wu, Minhao Jing, Linze Li, Renhe Ji, Jiajun Liang, Haoqiang Fan, Jin Wang:
MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer. 9256-9264 - Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi:
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring. 9265-9273 - Xi Yang, Jiachen Sun, Songsong Duan, De Cheng:
Dual Information Purification for Lightweight SAR Object Detection. 9274-9282 - Xiaoyin Yang, Xin Yang:
DriveGazen: Event-Based Driving Status Recognition Using Conventional Camera. 9283-9291 - Xin Yang, Wending Yan, Yuan Yuan, Michael Bi Mi, Robby T. Tan:
Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning. 9292-9300 - Xin Yang, Xin Zhang, Xinchao Wang:
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions. 9301-9309 - Xinye Yang, Yuxin Yang, Haoran Pang, Aaron Xuxiang Tian, Luking Li:
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models. 9310-9317 - Yiming Yang, Yueru Luo, Bingkun He, Erlong Li, Zhipeng Cao, Chao Zheng, Shuqi Mei, Zhen Li:
Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning. 9318-9326 - Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu:
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving. 9327-9335 - Yuxiang Yang, Hongjie Gu, Yingqi Deng, Zhekang Dong, Zhiwei He, Jing Zhang:
UAWTrack: Universal 3D Single Object Tracking in Adverse Weather. 9336-9344 - Zejun Yang, Huawei Wei, Zhisheng Wang:
RealPortrait: Realistic Portrait Animation with Diffusion Transformers. 9345-9353 - Zemin Yang, Yujing Sun, Xidong Peng, Siu Ming Yiu, Yuexin Ma:
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis. 9354-9362 - Zesong Yang, Ru Zhang, Jiale Shi, Zixiang Ai, Boming Zhao, Hujun Bao, Luwei Yang, Zhaopeng Cui:
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction. 9363-9372 - Zhanglei Yang, Haipeng Li, Mingbo Hong, Chen-Lin Zhang, Jiajun Li, Shuaicheng Liu:
Single Image Rolling Shutter Removal with Diffusion Models. 9373-9381 - Zhenhua Yang, Dezhi Peng, Yongxin Shi, Yuyi Zhang, Chongyu Liu, Lianwen Jin:
Predicting the Original Appearance of Damaged Historical Documents. 9382-9390 - Zhifei Yang, Keyang Lu, Chao Zhang, Jiaxing Qi, Hanqi Jiang, Ruifei Ma, Shenglin Yin, Yifan Xu, Mingzhe Xing, Zhen Xiao, Jieyi Long, Xiangde Liu, Guangyao Zhai:
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation. 9391-9399 - Zhiwei Yang, Yucong Meng, Kexue Fu, Shuo Wang, Zhijian Song:
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation. 9400-9408 - Mufeng Yao, Jinlong Peng, Qingdong He, Bo Peng, Hao Chen, Mingmin Chi, Chao Liu, Jón Atli Benediktsson:
MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking. 9409-9417 - Shuilian Yao, Yu Liu, Qi Jia, Sihong Chen, Wei Zhuo:
As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection. 9418-9426 - Zebin Yao, Fangxiang Feng, Ruifan Li, Xiaojie Wang:
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis. 9427-9435 - Chengyang Ye, Yunzhi Zhuge, Pingping Zhang:
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation. 9436-9444 - Haocun Ye, Xinlong Jiang, Chenlong Gao, Bingyu Wang, Wuliang Huang, Yiqiang Chen:
VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement. 9445-9453 - Tian Ye, Sixiang Chen, Haoyu Chen, Wenhao Chai, Jingjing Ren, Zhaohu Xing, Wenxue Li, Lei Zhu:
PromptHaze: Prompting Real-world Dehazing via Depth Anything Model. 9454-9462 - Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin:
Optimized Gradient Clipping for Noisy Label Learning. 9463-9471 - Jeong Hun Yeo, Chae Won Kim, Hyunjun Kim, Hyeongseop Rha, Seunghee Han, Wen-Huang Cheng, Yong Man Ro:
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language. 9472-9480 - Ellen Yi-Ge, Leo Shawn:
FlexDataset: Crafting Annotated Dataset Generation for Diverse Applications. 9481-9489 - Bo-Wen Yin, Zheng Lin:
Exploring Salient Object Detection with Adder Neural Networks. 9490-9498 - Hanxi Yin, Shaodi You, Jungong Han, Zhixiang Chen:
Sequential Joint Dependency Aware Human Pose Estimation with State Space Model. 9499-9507 - Jia-Li Yin, Weijian Wang, Lyhwa, Wei Lin, Ximeng Liu:
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks. 9508-9516 - Kangsheng Yin, Quan Liu, Xuelin Shen, Yulin He, Wenhan Yang, Shiqi Wang:
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision. 9517-9525 - Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Wei Chen, Gouxiao Fei, Yang Song, Xiao Sun, Xun Yang:
GRPose: Learning Graph Relations for Human Image Generation with Pose Priors. 9526-9534 - Ziniu Yin, Yanglin Feng, Ming Yan, Xiaomin Song, Dezhong Peng, Xu Wang:
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise. 9535-9543 - Seungdong Yoa, Seungjun Lee, Hye-Seung Cho, Bumsoo Kim, Woohyung Lim:
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition. 9544-9552 - Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo:
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions. 9553-9561 - Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park:
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. 9562-9570 - Shuhei M. Yoshida, Takashi Shibata, Makoto Terao, Takayuki Okatani, Masashi Sugiyama:
Action-Agnostic Point-Level Supervision for Temporal Action Detection. 9571-9579 - Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu:
FOCUS: Towards Universal Foreground Segmentation. 9580-9588 - Chenyang Yu, Xuehu Liu, Jiawen Zhu, Yuhao Wang, Pingping Zhang, Huchuan Lu:
CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification. 9589-9597 - Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie:
End-to-End Autonomous Driving Through V2X Cooperation. 9598-9606 - Hao Yu, Haoyu Chen, Wei Peng, Xu Cheng, Guoying Zhao:
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures. 9607-9615 - Hongqi Yu, Sixian Chan, Xiaolong Zhou, Xiaoqin Zhang:
SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation. 9616-9625 - Letian Yu, Jiaxi Yang, Bo Dong, Qirui Bao, Yuanbo Wang, Felix Heide, Xiaopeng Wei, Xin Yang:
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing. 9626-9634 - Qing Yu, Mikihiro Tanaka, Kent Fujiwara:
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models. 9635-9643 - Shangshu Yu, Xiaotian Sun, Wen Li, Qingshan Xu, Zhimin Yuan, Sijie Wang, Rui She, Cheng Wang:
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes. 9644-9652 - Sheng Yu, Di-Hua Zhai, Yuanqing Xia:
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints. 9653-9661 - Ting Yu, Zixuan Tong, Jun Yu, Ke Zhang:
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering. 9662-9670 - Wei Yu, Zonglin Li, Qinglin Liu, Xin Sun:
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion. 9671-9679 - Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin:
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. 9680-9688 - Yating Yu, Congqi Cao, Yueran Zhang, Qinyi Lv, Lingtong Min, Yanning Zhang:
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP. 9689-9697 - Yi Yu, Song Xia, Xun Lin, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot:
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger. 9698-9706 - Yiheng Yu, Sheng Liu, Yuan Feng, Min Xu, Zhelun Jin, Xuhua Yang:
OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition. 9707-9715 - Zhenyu Yu, Chee Seng Chan:
Yuan: Yielding Unblemished Aesthetics Through a Unified Network for Visual Imperfections Removal in Generated Images. 9716-9724 - Xu Yuan, Li Zhou, Zenghui Sun, Zikun Zhou, Jinsong Lan:
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model. 9725-9733 - Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma:
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration. 9734-9742 - Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang:
DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. 9743-9752 - Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jinguo Luo, Tianlu Mao, Zhaoqi Wang:
MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo. 9753-9762 - Qi Zang, Jiayi Yang, Shuang Wang, Dong Zhao, Wenjun Yi, Zhun Zhong:
ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model. 9763-9771 - Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown:
Efficient Neural Network Encoding for 3D Color Lookup Tables. 9772-9779 - Guanzhong Zeng, Jingjing Wang, Zefu Xu, Pengwei Yin, Wenqi Ren, Di Xie, Jiang Zhu:
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation. 9780-9788 - Hui Zeng, Sanshuai Cui, Biwei Chen, Anjie Peng:
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability. 9789-9796 - Ling-An Zeng, Guohong Huang, Gaojie Wu, Wei-Shi Zheng:
Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation. 9797-9805 - Qian Zeng, Jie Song, Han Zheng, Hao Jiang, Mingli Song:
D2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models. 9806-9814 - Qingyang Zeng, Lin Shang:
GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition. 9815-9823 - Rui Zeng, Yuanzhou Huang, Songwei Pei:
TGFormer: Transformer with Track Query Group for Multi-Object Tracking. 9824-9832 - Zhaojie Zeng, Yuesong Wang, Lili Ju, Tao Guan:
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting. 9833-9841 - Mingliang Zhai, Cheng Li, Zengyuan Guo, Ningrui Yang, Xiameng Qin, Sanyuan Zhao, Junyu Han, Ji Tao, Yuwei Wu, Yunde Jia:
World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving. 9842-9850 - Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Miao Shang, Yu Zhou:
DCA: Dividing and Conquering Amnesia in Incremental Object Detection. 9851-9859 - Boyu Zhang, Zheng Zhu, Wenbo Xu:
DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields. 9860-9868 - Chuanrui Zhang, Yingshuang Zou, Zhuoling Li, Minmin Yi, Haoqian Wang:
TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers. 9869-9877 - Evelyn Zhang, Jiayi Tang, Xuefei Ning, Linfeng Zhang:
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning. 9878-9886 - Feifei Zhang, Zhaoyi Zhang, Xi Zhang, Changsheng Xu:
When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach. 9887-9895 - Guosheng Zhang, Keyao Wang, Haixiao Yue, Ajian Liu, Gang Zhang, Kun Yao, Errui Ding, Jingdong Wang:
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models. 9896-9904 - Haozhuo Zhang, Bin Zhu, Yu Cao, Yanbin Hao:
Hand1000: Generating Realistic Hands from Text with Only 1, 000 Images. 9905-9913 - Hui Zhang, Zuxuan Wu, Zhen Xing, Jie Shao, Yu-Gang Jiang:
AdaDiff: Adaptive Step Selection for Fast Diffusion Models. 9914-9922 - Jiaxin Zhang, Wentao Yang, Songxuan Lai, Zecheng Xie, Lianwen Jin:
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming. 9923-9932 - Jie Zhang, Xun Gong, Zhonglin Sun:
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition. 9933-9941 - Jingyu Zhang, Yilei Wang, Lang Qian, Peng Sun, Zengwen Li, Sudong Jiang, Maolin Liu, Liang Song:
DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions. 9942-9950 - Jinlu Zhang, Jiji Tang, Rongsheng Zhang, Tangjie Lv, Xiaoshuai Sun:
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization. 9951-9959 - Jinqing Zhang, Yanan Zhang, Yunlong Qi, Zehua Fu, Qingjie Liu, Yunhong Wang:
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection. 9960-9968 - Jinrong Zhang, Penghui Wang, Chunxiao Liu, Wei Liu, Dian Jin, Qiong Zhang, Erli Meng, Zhengnan Hu:
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm. 9969-9976 - Kaiwei Zhang, Dandan Zhu, Xiongkuo Min, Guangtao Zhai:
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics. 9977-9984 - Li Zhang, Haonan Jiang, Yukang Huo, Yan Zhong, Jianan Wang, Xue Wang, Rujing Wang, Liu Liu:
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy. 9985-9993 - Miao Zhang, Zee Fryer, Ben Colman, Ali Shahriyari, Gaurav Bharaj:
Common Sense Bias Modeling for Classification Tasks. 9994-10002 - Mingjin Zhang, Xiaolong Li, Fei Gao, Jie Guo:
IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection. 10003-10011
Technical Tracks 10
- Mingjin Zhang, Wenteng Shang, Fei Gao, Qiming Zhang, Fengqin Lu, Jing Zhang:
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation. 10013-10021 - Mingjin Zhang, Yuanjun Ouyang, Fei Gao, Jie Guo, Qiming Zhang, Jing Zhang:
MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection. 10022-10030 - Mingyang Zhang, Junkang Zhang, Faming Fang, Guixu Zhang:
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media. 10031-10039 - Muyang Zhang, Yuzhi Chen, Rongtao Xu, Changwei Wang, Jinming Yang, Weiliang Meng, Jianwei Guo, Huihuang Zhao, Xiaopeng Zhang:
PanoDiT: Panoramic Videos Generation with Diffusion Transformer. 10040-10048 - Peng Zhang, Yuan Li, Haotian Song, Yankai Jiang, Yubo Tao, Hai Lin, Hongguang Cui:
SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image. 10049-10057 - Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng:
Visual Perturbation for Text-Based Person Search. 10058-10066 - Pengyu Zhang, Xieyuanli Chen, Yuwei Chen, Beizhen Bi, Zhuo Xu, Tian Jin, Xiaotao Huang, Liang Shen:
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar. 10067-10075 - Qi Zhang, Zhouhang Luo, Tao Yu, Hui Huang:
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection. 10076-10084 - Quan Zhang, Yuxin Qi, Xi Tang, Rui Yuan, Xi Lin, Ke Zhang, Chun Yuan:
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction. 10085-10093 - Shihua Zhang, Zhenjie Zhu, Zizhuo Li, Tao Lu, Jiayi Ma:
Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation. 10094-10102 - Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, Jing Liu:
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection. 10103-10111 - Songchun Zhang, Chunhui Zhao:
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views. 10112-10120 - Tao Zhang, Haobo Yuan, Lu Qi, Jiangning Zhang, Qianyu Zhou, Shunping Ji, Shuicheng Yan, Xiangtai Li:
Point Cloud Mamba: Point Cloud Learning via State Space Model. 10121-10130 - Tianrui Zhang, Liang Gao, Xinyu Li, Yiping Gao:
DZAD: Diffusion-based Zero-shot Anomaly Detection. 10131-10138 - Tianyu Zhang, Haotian Zhang, Yuqi Li, Li Li, Dong Liu:
Few-Shot Domain Adaptation for Learned Image Compression. 10139-10147 - Wanruo Zhang, Mengyuan Liu, Hong Liu, Wenhao Li:
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation. 10148-10156 - Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Shijia Ge, Mingzi Wang, Zhi Wang:
Enhancing Implicit Neural Representations via Symmetric Power Transformation. 10157-10165 - Wenbo Zhang, Lu Zhang, Ping Hu, Liqian Ma, Yunzhi Zhuge, Huchuan Lu:
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding. 10166-10175 - Wenhao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen:
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading. 10176-10184 - Xiang Zhang, Yufei Cui, Chenchen Fu, Zihao Wang, Yuyang Sun, Xue Liu, Weiwei Wu:
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception. 10185-10193 - Xiang Zhang, Wanqing Zhao, Pengyang Li, Ying Liu, Hangzai Luo, Sheng Zhong, Jinye Peng, Jianping Fan:
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning. 10194-10202 - Xiaofeng Zhang, Fanshuo Zeng, Yihao Quan, Zheng Hui, Jiawei Yao:
Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation. 10203-10211 - Xiaohan Zhang, Zhenyu Sun, Yukui Qiu, Junyan Su, Qi Liu:
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories. 10212-10220 - Xiaozhe Zhang, Haidong Ding, Fengying Xie, Linpeng Pan, Yue Zi, Ke Wang, Haopeng Zhang:
Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image Dehazing. 10221-10229 - Ximin Zhang, Jinyin Chen, Haibin Zheng, Zhenguang Liu:
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack. 10230-10238 - Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang:
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression. 10239-10247 - Xinyi Zhang, Qiqi Bao, Qinpeng Cui, Wenming Yang, Qingmin Liao:
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network. 10248-10256 - Xu Zhang, Jin Yuan, Hanwang Zhang, Guojin Zhong, Yongsheng Zang, Jiacheng Lin, Zhiyong Li:
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning. 10257-10265 - Yabo Zhang, Yuxiang Wei, Xianhui Lin, Zheng Hui, Peiran Ren, Xuansong Xie, Wangmeng Zuo:
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models. 10266-10274 - Yan Zhang, Gangyan Zeng, Huawen Shen, Daiqing Wu, Yu Zhou, Can Ma:
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues. 10275-10283 - Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang:
Category Prompt Mamba Network for Nuclei Segmentation and Classification. 10284-10292 - Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang:
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization. 10293-10301 - Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I. Avilés-Rivero:
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations. 10302-10310 - Yi Zhang, Xiaoyang Huang, Yishun Dou, Yue Shi, Rui Shi, Ye Chen, Bingbing Ni, Wenjun Zhang:
InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction. 10311-10319 - Yonghao Zhang, Qiang He, Yanguang Wan, Yinda Zhang, Xiaoming Deng, Cuixia Ma, Hongan Wang:
DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model. 10320-10328 - Yue Zhang, Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou:
Partial Point Cloud Registration with Multi-view 2D Image Learning. 10329-10337 - Yuxuan Zhang, Zhenbo Shi, Shuchang Wang, Wei Yang, Shaowei Wang, Yinxing Xue:
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack. 10338-10347 - Yuxuan Zhang, Qing Zhang, Yiren Song, Jichao Zhang, Hao Tang, Jiaming Liu:
Stable-Hair: Real-World Hair Transfer via Diffusion Model. 10348-10356 - Zekai Zhang, Qinghui Chen, Maomao Xiong, Shijiao Ding, Zhanzhi Su, Xinjie Yao, Yiming Sun, Cong Bai, Jinglin Zhang:
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline. 10357-10366 - Zhaoxing Zhang, Junda Cheng, Gangwei Xu, Xiaoxiang Wang, Can Zhang, Xin Yang:
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry. 10367-10375 - Zhenfei Zhang, Ming-Ching Chang, Xin Li:
Training-Free Image Manipulation Localization Using Diffusion Models. 10376-10384 - Zhicheng Zhang, Hao Tang, Jinhui Tang:
Multi-scale Activation, Selection, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition. 10385-10393 - Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero, Yiren Zhou, Jiankang Deng, Hyung Jin Chang, Jifei Song:
Single-view Image to Novel-view Generation for Hand-Object Interactions. 10394-10402 - Guiyu Zhao, Zhentao Guo, Zewen Du, Hongbin Ma:
Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework. 10403-10411 - Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Xinze Chen, Guan Huang, Xiaoyi Bao, Xingang Wang:
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation. 10412-10420 - Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang:
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference. 10421-10429 - Hongxu Zhao, Zelin Gao, Yue Wang, Rong Xiong, Yu Zhang:
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation. 10430-10438 - Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Yuhua Tang:
MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models. 10439-10447 - Pengcheng Zhao, Jinxing Zhou, Yang Zhao, Dan Guo, Yanxiang Chen:
Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing. 10448-10456 - Shiyuan Zhao, Baodi Liu, Yu Bai, Weifeng Liu, Shuai Shao:
Excluding the Impossible for Open Vocabulary Semantic Segmentation. 10457-10464 - Shu Zhao, Tan Yu, Xiaoshuai Hao, Wenchao Ma, Vijaykrishnan Narayanan:
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing. 10465-10473 - Xuanpu Zhao, Dianmo Sheng, Zhentao Tan, Zhiwei Zhao, Tao Gong, Qi Chu, Bin Liu, Nenghai Yu:
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching. 10474-10482 - Xujian Zhao, Yixin Wang, Peiquan Jin:
Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning. 10483-10491 - Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Zheng Yang, Xiaofei He, Wei Zhao, Qinglin Lu, Wei Liu, Boxi Wu:
Local Conditional Controlling for Text-to-Image Diffusion Models. 10492-10500 - Youjun Zhao, Jiaying Lin, Rynson W. H. Lau:
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection. 10501-10509 - Yucheng Zhao, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng:
ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance. 10510-10518 - Yuxuan Zhao, Weijian Ruan, He Li, Mang Ye:
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark. 10519-10527 - Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, Xi Chen:
HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking. 10528-10536 - Zhiqian Zhao, Liang Li, Jiehua Zhang, Yaoqi Sun, Xichun Sheng, Haibing Yin, Shaowei Jiang:
Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval. 10537-10545 - Amber Yijia Zheng, Raymond A. Yeh:
Multi-concept Model Immunization through Differentiable Model Merging. 10546-10554 - Hongsheng Zheng, Zhongyun Bao, Gang Fu, Xuze Jiao, Chunxia Xiao:
PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model. 10555-10563 - Jianwei Zheng, Xiaomin Yao, Guojiang Shen, Wei Li, Jiawei Jiang:
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking. 10564-10572 - Kexin Zheng, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding:
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation. 10573-10581 - Zheng Li, Liangbin Xie, Jiantao Zhou, Xintao Wang, Haiwei Wu, Jinyu Tian:
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models. 10582-10590 - Maoji Zheng, Ziyu Xu, Qiming Xia, Hai Wu, Chenglu Wen, Cheng Wang:
Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision. 10591-10598 - Rongjia Zheng, Qing Zhang, Yongwei Nie, Wei-Shi Zheng:
When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data. 10599-10607 - Shijun Zheng, Weiquan Liu, Yu Guo, Yu Zang, Siqi Shen, Cheng Wang:
A New Adversarial Perspective for LiDAR-based 3D Object Detection. 10608-10616 - Sixiao Zheng, Yanwei Fu:
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context. 10617-10625 - Tingting Zheng, Kui Jiang, Hongxun Yao, Yi Xiao, Zhongyuan Wang:
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning. 10626-10634 - Yaozong Zheng, Bineng Zhong, Qihua Liang, Ning Li, Shuxiang Song:
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking. 10635-10643 - Yuanfan Zheng, Jinlin Wu, Wuyang Li, Zhen Chen:
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment. 10644-10652 - Chuyi Zhong, Dingkang Yang, Peng Zhai, Lihua Zhang:
MMPF: Multi-Modal Perception Framework for Abnormal Medical Condition Detection. 10653-10661 - Guojin Zhong, Jinhong Hu, Jiajun Chen, Jin Yuan, Wenbo Pan:
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning. 10662-10670 - Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter. 10671-10679 - Yaoyao Zhong, Mengshi Qi, Rui Wang, Yuhan Qiu, Yang Zhang, Huadong Ma:
VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things. 10680-10688 - Yi Zhong, Weize Quan, Dong-Ming Yan, Jie Jiang, Yingmei Wei:
PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion. 10689-10697 - Zhizhou Zhong, Yuxi Mi, Yuge Huang, Jianqing Xu, Guodong Mu, Shouhong Ding, Jingyun Zhang, Rizen Guo, Yunsheng Wu, Shuigeng Zhou:
SlerpFace: Face Template Protection via Spherical Linear Interpolation. 10698-10706 - Baichuan Zhou, Haote Yang, Dairong Chen, Junyan Ye, Tianyi Bai, Jinhua Yu, Songyang Zhang, Dahua Lin, Conghui He, Weijia Li:
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios. 10707-10715 - Chu Zhou, Chao Xu, Boxin Shi:
Polarization Guided Mask-Free Shadow Removal. 10716-10724 - Chuqin Zhou, Guo Lu, Jiangchuan Li, Xiangyu Chen, Zhengxue Cheng, Li Song, Wenjun Zhang:
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression. 10725-10733 - Feng Zhou, Qi Zhang, Ju Dai, Lei Li, Qing Fan, Junliang Xing:
Position-Aware Guided Point Cloud Completion with CLIP Model. 10734-10742 - Haitao Zhou, Chuang Wang, Rui Nie, Jinlin Liu, Dongdong Yu, Qian Yu, Changhu Wang:
TrackGo: A Flexible and Efficient Method for Controllable Video Generation. 10743-10751 - Han Zhou, Wei Dong, Xiaohong Liu, Yulun Zhang, Guangtao Zhai, Jun Chen:
Low-Light Image Enhancement via Generative Perceptual Priors. 10752-10760 - Hang Zhou, Jiale Cai, Yuteng Ye, Yonghui Feng, Chenxing Gao, Junqing Yu, Zikai Song, Wei Yang:
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model. 10761-10769 - Hao Zhou, Tingjin Luo, Zhangqi Jiang:
Core-to-Global Reasoning for Compositional Visual Question Answering. 10770-10778 - Jiaying Zhou, Qingchao Chen:
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery. 10779-10787 - Jingqiu Zhou, Lue Fan, Xuesong Chen, Linjiang Huang, Si Liu, Hongsheng Li:
GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance. 10788-10796 - Jingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, Yangyang Zhang:
All-in-One: Transferring Vision Foundation Models into Stereo Matching. 10797-10805 - Mengqi Zhou, Yuxi Wang, Jun Hou, Shougao Zhang, Yiwei Li, Chuanchen Luo, Junran Peng, Zhaoxiang Zhang:
SceneX: Procedural Controllable Large-Scale Scene Generation. 10806-10814 - Mingsheng Zhou, Mingming Kong:
GLIC: General Format Learned Image Compression. 10815-10824 - Nuoyan Zhou, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao:
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement. 10825-10833 - Qingyang Zhou, Yunfan Ye, Zhiping Cai:
Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction. 10834-10842 - Qingyuan Zhou, Weidong Yang, Ben Fei, Jingyi Xu, Rui Zhang, Keyi Liu, Yeqi Luo, Ying He:
3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering. 10843-10851 - Xingzhi Zhou, Zhiliang Tian, Boyang Zhang, Yibo Zhang, Ka Chun Cheung, Simon See, Hao Yang, Yun Zhou, Nevin L. Zhang:
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization. 10852-10860 - Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin:
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration. 10861-10869 - Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang:
Improving Generalization of Deep Neural Networks by Optimum Shifting. 10870-10878 - Zhao Zhou, Yiqun Wang, Weizhong Zhang, Yingbin Zheng, Xiangcheng Du, Cheng Jin:
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching. 10879-10886 - Zhao Zhou, Weizhong Zhang, Xiangcheng Du, Yingbin Zheng, Cheng Jin:
Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning. 10887-10895 - Zhao Zhou, Xiangcheng Du, Yingbin Zheng, Xingjiao Wu, Cheng Jin:
An Exemplar-based Framework for Chinese Text Recognition. 10896-10904 - Ziheng Zhou, Jinxing Zhou, Wei Qian, Shengeng Tang, Xiaojun Chang, Dan Guo:
Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration. 10905-10913 - Ziqi Zhou, Weize Quan, Hailin Shi, Wei Li, Lili Wang, Dong-Ming Yan:
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions. 10914-10922 - Chenyang Zhu, Kai Li, Yue Ma, Chunming He, Xiu Li:
MultiBooth: Towards Generating All Your Concepts in an Image from Text. 10923-10931 - Guilin Zhu, Dongyue Wu, Changxin Gao, Runmin Wang, Weidong Yang, Nong Sang:
Adaptive Prototype Replay for Class Incremental Semantic Segmentation. 10932-10940 - Haiyang Zhu, Xi Yang, Nannan Wang:
Optimizing Label Assignment for Weakly Supervised Person Search. 10941-10949 - Jianhua Zhu, Wenqi Zhao, Yu Li, Xingjian Hu, Liangcai Gao:
TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition. 10950-10958 - Jiawen Zhu, Huayi Tang, Xin Chen, Xinying Wang, Dong Wang, Huchuan Lu:
Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking. 10959-10967 - Jiaying Zhu, Dong Li, Xueyang Fu, Gege Shi, Jie Xiao, Aiping Liu, Zheng-Jun Zha:
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization. 10968-10976 - Lingting Zhu, Guying Lin, Jinnan Chen, Xinjie Zhang, Zhenchao Jin, Zhao Wang, Lequan Yu:
Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting. 10977-10985 - Minjie Zhu, Yichen Zhu, Ning Liu, Xin Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng:
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. 10986-10994 - Tianyi Zhu, Wei Shang, Dongwei Ren:
Thin-Plate Spline-based Interpolation for Animation Line Inbetweening. 10995-11003 - Xingyu Zhu, Guanhui Ye, Chengdong Dong, Xiapu Luo, Shiyao Zhang, Xuetao Wei:
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space. 11004-11012 - Xingyu Zhu, Xiapu Luo, Xuetao Wei:
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields. 11013-11021 - Xuekang Zhu, Xiaochen Ma, Lei Su, Zhuohang Jiang, Bo Du, Xiwen Wang, Zeyu Lei, Wentao Feng, Chi-Man Pun, Jizhe Zhou:
Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization. 11022-11030 - Yan Zhu, Huan Ma, Changqing Zhang:
Exploring Task-Level Optimal Prompts for Visual In-Context Learning. 11031-11039 - Yitao Zhu, Sheng Wang, Mengjie Xu, Zixu Zhuang, Zhixin Wang, Kaidong Wang, Han Zhang, Qian Wang:
MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction. 11040-11048 - Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu:
ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming. 11049-11057 - Zhenfeng Zhuang, Min Cen, Yanfeng Li, Fangyu Zhou, Lequan Yu, Baptiste Magnier, Liansheng Wang:
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning. 11058-11066 - Bojia Zi, Shihao Zhao, Xianbiao Qi, Jianan Wang, Yukai Shi, Qianyu Chen, Bin Liang, Rong Xiao, Kam-Fai Wong, Lei Zhang:
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility. 11067-11076 - Bochao Zou, Zizheng Guo, Xiaocheng Hu, Huimin Ma:
RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement. 11077-11085 - Pufan Zou, Shijia Zhao, Weijie Huang, Qiming Xia, Chenglu Wen, Wei Li, Cheng Wang:
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction. 11086-11094 - Jialong Zuo, Ying Nie, Tianyu Guo, Huaxin Zhang, Jiahao Hong, Nong Sang, Changxin Gao, Kai Han:
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks. 11095-11103
Technical Tracks 11
- Daniil Averkov, Tatiana Belova, Gregory Emdin, Mikhail Goncharov, Viktoriia Krivogornitsyna, Alexander S. Kulikov, Fedor Kurmazov, Daniil Levtsov, Georgie Levtsov, Vsevolod Vaskin, Aleksey Vorobiev:
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis. 11105-11112 - Swann Bessa, Darius Dabert, Max Bourgeat, Louis-Martin Rousseau, Quentin Cappart:
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning. 11113-11121 - Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns:
Exploiting Symmetries in MUS Computation. 11122-11130 - Catalin E. Brita, Jacobus G. M. van der Linden, Emir Demirovic:
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound. 11131-11139 - Yunuo Cen, Zhiwei Zhang, Xuanyao Fong:
Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs. 11140-11149 - Krishnendu Chatterjee, Ruichen Luo, Raimundo Saona, Jakub Svoboda:
Linear Equations with Min and Max Operators: Computational Complexity. 11150-11157 - Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Harshit J. Motwani, Maximilian Seeliger, Dorde Zikelic:
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization. 11158-11166 - Xingdi Chen, Kai Yang:
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC. 11167-11175 - Leroy Chew:
Proof Simulation via Round-based Strategy Extraction for QBF. 11176-11184 - Wenbo Dai, Lijing Lu, Zhihang Li:
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification. 11185-11193 - Marek Danco, Mikolás Janota, Michael Codish, João Jorge Araújo:
Complete Symmetry Breaking for Finite Models. 11194-11202 - Kangkang Deng, Jiang Hu:
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization. 11203-11211 - Shengyu Feng, Yiming Yang:
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. 11212-11220 - Yi Feng, Xiao Wang, Tian Xie:
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management. 11221-11228 - Robert Ganian, Fionn Mc Inerney, Dimitra Tsigkari:
Parameterized Complexity of Caching in Networks. 11229-11237 - Yi-Xiang Hu, Feng Wu, Shaoang Li, Yifang Zhao, Xiang-Yang Li:
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program. 11238-11245 - Mikolás Janota, Markus Kirchweger, Tomás Peitl, Stefan Szeider:
Breaking Symmetries in Quantified Graph Search: A Comparative Study. 11246-11254 - Fuqi Jia, Yuhang Dong, Rui Han, Pei Huang, Minghao Liu, Feifei Ma, Jian Zhang:
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic. 11255-11263 - Wooyeon Jo, Hyunsouk Cho:
DCC: Differentiable Cardinality Constraints for Partial Index Tracking. 11264-11271 - Shuolin Li, Chu-Min Li, Jordi Coll, Djamal Habet, Felip Manyà:
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT. 11272-11281 - Yixuan Li, Lewis Frampton, Federico Mora, Elizabeth Polgreen:
Online Prompt Selection for Program Synthesis. 11282-11289 - Jiaxin Liang, Junping Zhou, Minghao Yin:
DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem. 11290-11298 - Gwen Maudet, Grégoire Danoy:
Search Strategy Generation for Branch and Bound Using Genetic Programming. 11299-11308 - Matthew J. McIlree, Ciaran McCreesh:
Certifying Bounds Propagation for Integer Multiplication Constraints. 11309-11317 - Yash Pote, Kuldeep S. Meel, Jiong Yang:
Towards Real-Time Approximate Counting. 11318-11326 - Joseph E. Reeves, João Filipe, Min-Chien Hsu, Ruben Martins, Marijn J. H. Heule:
The Impact of Literal Sorting on Cardinality Constraint Encodings. 11327-11335 - Agnes Schleitzer, Olaf Beyersdorff:
Computationally Hard Problems Are Hard for QBF Proof Systems Too. 11336-11344 - Yuta Shikuri:
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network. 11345-11352 - Co Tran, Quoc-Bao Tran, Hy Truong Son, Thang N. Dinh:
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression. 11353-11361 - Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns:
Generalizing Constraint Models in Constraint Acquisition. 11362-11371 - Hiroshi Unno, Takeshi Tsukada, Jie-Hong Roland Jiang:
Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking. 11372-11380 - Ruiwei Wang, Roland H. C. Yap:
On the Modelling of Constraints with Tractable Logical Operators. 11381-11389 - Jitao Xu, Yaling Wu, Hongbo Li, Minghao Yin:
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems. 11390-11398 - Suwei Yang, Kuldeep S. Meel:
Towards Projected and Incremental Pseudo-Boolean Model Counting. 11399-11407 - Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme:
Motif-aware Graph Neural Networks for Networked Time Series Imputation. 11409-11417 - Wei Ai, Fuchen Zhang, Yuntao Shou, Tao Meng, Haowen Chen, Keqin Li:
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum. 11418-11426 - Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. 11427-11435 - Songran Bai, Yuheng Ji, Yue Liu, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng:
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution. 11436-11444 - Nitin Bisht, Xiuwen Gong, Guandong Xu:
CUGF: A Reliable and Fair Recommendation Framework. 11445-11453 - Jianwei Cao, Yanli Hu, Zhen Tan, Xiang Zhao:
Cross-modal Multi-task Learning for Multimedia Event Extraction. 11454-11462 - Lingxiao Cao, Bin Wang, Guiyuan Jiang, Yanwei Yu, Junyu Dong:
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting. 11463-11471 - Jiajie Chen, Yu Sang, Peng-Fei Zhang, Jiaan Wang, Jianfeng Qu, Zhixu Li:
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning. 11472-11480 - Kai Chen, Xin Song, Ye Wang, Liqun Gao, Aiping Li, Xiaojuan Zhao, Bin Zhou, Yalong Xie:
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs. 11481-11489 - Weijun Chen, Yanze Wang:
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction. 11490-11499 - Yuxin Chen, Fangru Lin, Jingyi Huo, Hui Yan:
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling. 11500-11508 - Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao:
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning. 11509-11517 - Jiehan Cheng, Zhicheng Dou, Yutao Zhu, Xiaoxi Li:
Descriptive and Discriminative Document Identifiers for Generative Retrieval. 11518-11526 - Zhangtao Cheng, Jiao Li, Jian Lang, Ting Zhong, Fan Zhou:
In-context Prompt-augmented Micro-video Popularity Prediction. 11527-11535 - Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang, Dan Ou, Qingwen Liu:
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods. 11536-11543 - Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim:
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect. 11544-11552 - Wei Dai, Kai Hwang, Jicong Fan:
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation. 11553-11562 - Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Augmenting Sequential Recommendation with Balanced Relevance and Diversity. 11563-11571 - Rui Deng, Ziqi Li, Mingshu Wang:
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data. 11572-11580 - Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He:
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion. 11581-11589 - Huiwen Dong, Linghan Zeng, Zhiwen Zhao, Francesco Silvestri, Ninh Pham:
On Finding Hubs in High Dimensions with Sampling. 11590-11597 - Tiansi Dong, Mateja Jamnik, Pietro Liò:
Neural Reasoning for Sure Through Constructing Explainable Models. 11598-11606 - Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong:
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. 11607-11615 - Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Feng:
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection. 11616-11624 - Moonjung Eo, Kyungeun Lee, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Woohyung Lim:
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data. 11625-11633 - Qile Fan, Penghang Yu, Zhiyi Tan, Bing-Kun Bao, Guanming Lu:
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation. 11634-11644 - Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu:
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting. 11645-11653 - Ke Fei, Xinyue Zhang, Jingjing Li:
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction. 11654-11662 - Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai:
Modeling Latent Non-Linear Dynamical System over Time Series. 11663-11671 - Feng Gao, Xin Zhou, Yinning Shao, Yue Wu, Jiahua Gao, Yujian Ren, Fengyang Qi, Ruochen Deng, Jie Liu:
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System. 11672-11680 - Mohan Gao, Kexin Xu, Xiaofeng Gao, Tengwei Cai, Haoyuan Ge:
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction. 11681-11689 - Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen:
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting. 11690-11698 - Yuxiao Gao, Fuwei Zhang, Zhao Zhang, Xiaoshuang Min, Fuzhen Zhuang:
Mixed-Curvature Multi-Modal Knowledge Graph Completion. 11699-11707 - Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu:
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation. 11708-11716 - Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation. 11717-11725 - Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes:
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. 11726-11734 - Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian:
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. 11735-11744 - Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen:
K-ON: Stacking Knowledge on the Head Layer of Large Language Model. 11745-11753 - Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li:
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. 11754-11762 - Chengkai Han, Jingyuan Wang, Yongyao Wang, Xie Yu, Hao Lin, Chao Li, Junjie Wu:
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning. 11763-11771 - Sicheng He, Junzhong Ji, Minglong Lei:
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. 11772-11780 - Dongsheng Hong, Chao Chen, Xujia Li, Shuhui Wang, Wen Lin, Xiangwen Liao:
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction. 11781-11789 - Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei:
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. 11790-11798 - Zheng Hu, Zhe Li, Ziyun Jiao, Satoshi Nakagawa, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren:
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models. 11799-11807 - Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang:
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. 11808-11816 - Yiheng Huang, Xiaowei Mao, Shengnan Guo, Yubin Chen, Junfeng Shen, Tiankuo Li, Youfang Lin, Huaiyu Wan:
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM. 11817-11825 - Yu-Hsuan Huang, Ling Lo, Hongxia Xie, Hong-Han Shuai, Wen-Huang Cheng:
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec. 11826-11834 - Yudi Huang, Ci Nie, Hongqing He, Yujie Mo, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu:
Multiplex Graph Representation Learning with Homophily and Consistency. 11835-11842 - Harry Hughes, Michael Horton, Xinyu Wei, Harshala Gammulle, Clinton Fookes, Sridha Sridharan, Patrick Lucey:
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context. 11843-11851 - Yuwen Ji, Wenbo Xie, Jiaqi Zhang, Chao Wang, Ning Guo, Lei Shi, Yue Zhang:
Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution. 11852-11860 - Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai:
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. 11861-11869 - Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo:
Time Series Supplier Allocation via Deep Black-Litterman Model. 11870-11878 - Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li:
Auto Encoding Neural Process for Multi-interest Recommendation. 11879-11887 - Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li:
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. 11888-11896 - Jiazheng Jing, Yinan Zhang, Chunyan Miao:
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate. 11897-11905 - Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Xueqin Chen, Dingqi Yang:
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models. 11906-11914 - Jia Jinghong, Lei Song, Jiaxing Li, Youyong Kong:
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks. 11915-11923 - Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang:
Cluster-guided Contrastive Class-imbalanced Graph Classification. 11924-11932 - Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su:
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship. 11933-11941 - Taeho Kim, Hyeongjun Jang, Juwon Yu, Taeuk Kim, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim:
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems. 11942-11949 - Taeri Kim, Jiho Heo, Hyunjoon Kim, Sang-Wook Kim:
HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation. 11950-11958 - Lingdu Kong, Xiaochun Yang, Tieying Li, Bin Wang, Xiangmin Zhou:
Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination. 11959-11967 - Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen:
Unlocking the Power of LSTM for Long Term Time Series Forecasting. 11968-11976 - Mingjin Kuai, Jun Long, Zhan Yang:
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval. 11977-11986 - Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken, Nikolaj Tatti:
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs. 11987-11994 - Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo:
RouterRetriever: Routing over a Mixture of Expert Embedding Models. 11995-12003 - Sanghyuck Lee, Sangkeun Park, Jaesung Lee:
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation. 12004-12012 - Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim:
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks. 12013-12021 - Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin:
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation. 12022-12030 - Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen:
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data. 12031-12039 - Guanghan Li, Xun Zhang, Yufei Zhang, Yifan Yin, Guojun Yin, Wei Lin:
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization. 12040-12048 - Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju:
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. 12049-12057 - Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao, Guoli Wu:
Contrastive Representation for Interactive Recommendation. 12058-12066 - Jiuqiang Li:
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion. 12067-12075 - Junliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao:
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. 12076-12083 - Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang:
Self-Explainable Graph Transformer for Link Sign Prediction. 12084-12092 - Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin:
Adaptive Dataset Quantization. 12093-12101 - Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King:
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. 12102-12111 - Pengbo Li, Hang Yu, Xiangfeng Luo:
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels. 12112-12120 - Rong Li, Long Xu, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Lijia Ma:
Structure Balance and Gradient Matching-Based Signed Graph Condensation. 12121-12129 - Zetao Li, Zheng Hu, Peng Han, Yu Gu, Shimin Cai:
SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction. 12130-12138 - Xun Liang, Zhiying Li, Hongxun Jiang:
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework. 12139-12146 - Guanyu Lin, Jinwei Luo, Yinfeng Li, Chen Gao, Qun Luo, Depeng Jin:
Iterative Sparse Attention for Long-sequence Recommendation. 12147-12155 - Jiang Lin, Hui Xue, Fanxiu Sun, Yaping Yan:
Exploring the Relationship Between Samples and Masks for Robust Defect Localization. 12156-12164 - Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu:
Unified Graph Neural Networks Pre-training for Multi-domain Graphs. 12165-12173 - Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che, Rong-Cheng Tu:
Distribution-Consistency-Guided Multi-modal Hashing. 12174-12182 - Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng:
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. 12183-12191 - Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue:
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. 12192-12200 - Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang:
Coherency Improved Explainable Recommendation via Large Language Model. 12201-12209
Technical Tracks 12
- Shuo Liu, Wenbin Li, Di Yao, Jingping Bi:
Effective and Efficient Representation Learning for Flight Trajectories. 12211-12219 - Yanchao Liu, Pengzhou Zhang, Wenchao Song, Yao Zheng, Deyu Li, Lei Shi, Junpeng Gong:
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction. 12220-12228 - Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. 12229-12237 - Yuguang Liu, Yiyun Miao, Luyao Xia:
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations. 12238-12245 - Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. 12246-12254 - Zijin Liu, Xiang Zhao, You Song:
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation. 12255-12263 - Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao:
SIGMA: Selective Gated Mamba for Sequential Recommendation. 12264-12272 - Kaifang Long, Guoyang Xie, Lianbo Ma, Jiaqi Liu, Zhichao Lu:
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective. 12273-12281 - Xiao Long, Liansheng Zhuang, Aodi Li, Minghong Yao, Shafei Wang:
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering. 12282-12290 - Qiheng Lu, Nicholas D. Sidiropoulos, Aritra Konar:
Densest k-Subgraph Mining via a Provably Tight Relaxation. 12291-12299 - Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang:
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. 12300-12308 - Mingxuan Luo, Yang Li, Chen Lin:
Enhancing Sequential Recommendation with Global Diffusion. 12309-12318 - Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia:
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning. 12319-12327 - Mingyang Lv, Xiangfeng Liu, Yuanbo Xu:
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation. 12328-12336 - Haiping Ma, Yue Yao, Changqian Wang, Siyu Song, Yong Yang:
AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis. 12337-12345 - Ruijia Ma, Yahong Lian, Chunyao Song:
Sub-Interest-Aware Representation Uniformity for Recommender System. 12346-12354 - Tengfei Ma, Yujie Chen, Liang Wang, Xuan Lin, Bosheng Song, Xiangxiang Zeng:
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion. 12355-12363 - Yuchao Ma, Weian Li, Yuhan Wang, Zitian Guo, Yuejia Dou, Qi Qi, Changyuan Yu:
On Designing the Optimal Integrated Ad Auction in E-commerce Platforms. 12364-12371 - Yuchao Ma, Ruohan Qian, Bingzhe Wang, Qi Qi, Wenqiang Liu, Qian Tang, Zhao Shen, Wei Zhong, Bo Shen, Yixin Su, Bin Zou, Wen Yi, Zhi Guo, Shuanglong Li, Lin Liu:
GenAuction: A Generative Auction for Online Advertising. 12372-12380 - Kai Mao, Yiyang Lian, Yangyang Wang, Meiqin Liu, Nanning Zheng, Ping Wei:
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion. 12381-12389 - Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan:
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation. 12390-12398 - Fanshen Meng, Zhenhua Meng, Ru Jin, Rongheng Lin, Budan Wu:
DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation. 12399-12407 - Lingyu Mu, Zhengxiao Liu, Zhitong Zhu, Zheng Lin:
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks. 12408-12416 - Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr:
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. 12417-12425 - Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu, Tu Ao:
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation. 12426-12434 - Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini:
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights. 12435-12442 - Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan:
A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection. 12443-12451 - Mohit Prashant, Arvind Easwaran, Suman Das, Michael Yuhas:
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation. 12452-12460 - Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li:
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation. 12461-12469 - Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao:
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment. 12470-12478 - Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang:
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model. 12479-12487 - Nian Rong, Fei Xiong, Shirui Pan, Guixun Luo, Jia Wu, Liang Wang:
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation. 12488-12496 - Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan:
Hyperparametric Robust and Dynamic Influence Maximization. 12497-12505 - Hongwei Sha, Muchen Dong, Quanyou Luo, Ming Lu, Hao Chen, Zhan Ma:
Towards Loss-Resilient Image Coding for Unstable Satellite Networks. 12506-12514 - Weixuan Shen, Xiaobo Shen, Shirui Pan:
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks. 12515-12523 - Hao Shi, Weili Song, Xinting Zhang, Jiahe Shi, Cuicui Luo, Xiang Ao, Hamid Arian, Luis Angel Seco:
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors. 12524-12532 - Brijraj Singh, Sonal Dabral, Niranjan Pedanekar:
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience. 12533-12540 - Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints. 12541-12549 - Chao Song, Zheng Ren, Li Lu:
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation. 12550-12558 - Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao:
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. 12559-12567 - Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou:
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation. 12568-12576 - Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Gang Wang, Xiaoguang Liu:
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks. 12577-12585 - Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu:
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. 12586-12594 - Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma:
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. 12595-12603 - Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu:
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation. 12604-12612 - Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He:
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. 12613-12621 - Ikumi Suzuki, Kazuo Hara, Eiji Murakami:
Hubness Change Point Detection. 12622-12630 - Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie:
Language Pre-training Guided Masking Representation Learning for Time Series Classification. 12631-12639 - Peiwang Tang, Weitai Zhang:
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting. 12640-12648 - Shuai Tang, Sitao Lin, Jianghong Ma, Xiaofeng Zhang:
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation. 12649-12657 - Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie:
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs. 12658-12666 - Piao Tong, Qiao Liu, Zhipeng Zhang, Yuke Wang, Tian Lan:
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation. 12667-12675 - Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran:
POI Recommendation via Multi-Objective Adversarial Imitation Learning. 12676-12684 - Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin:
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. 12685-12693 - Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Lei Zhang, Jianxin Liao:
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data. 12694-12702 - Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin:
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. 12703-12711 - Fang Wang, Shenglin Yin, Xiaoying Bai, Minghao Hu, Tianwei Yan, Yi Liang:
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking. 12712-12720 - Kangli Wang, Wei Gao:
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach. 12721-12729 - Mei Wang, Xiaojie Zhu, Ruimin Hu, Dongliang Zhu, Liang Liao, Mang Ye:
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection. 12730-12738 - Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang:
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. 12739-12747 - Wuhong Wang, Jianhui Ma, Yuren Zhang, Kai Zhang, Junzhe Jiang, Yihui Yang, Yacong Zhou, Zheng Zhang:
Intent Oriented Contrastive Learning for Sequential Recommendation. 12748-12756 - Yibo Wang, Yingchun Jian, Wenhao Yang, Shiyin Lu, Lei Shen, Bing Wang, Xiaoyi Zeng, Lijun Zhang:
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation. 12757-12765 - Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang:
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. 12766-12774 - Yuxiang Wang, Jianzhong Qi, Junhao Gan:
Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering. 12775-12783 - Zhe Wang, Suxue Ma, Kewen Wang, Zhiqiang Zhuang:
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning. 12784-12791 - Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang, Bing Li:
Federated Recommendation with Explicitly Encoding Item Bias. 12792-12800 - Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng, Kaixuan Yao:
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. 12801-12809 - Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang:
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction. 12810-12817 - Zijian Wang, Bin Wang, Haifeng Jing, Huayu Li, Hongbo Dou:
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration. 12818-12826 - Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang:
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. 12827-12835 - Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu:
Prompt-based Unifying Inference Attack on Graph Neural Networks. 12836-12844 - Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang:
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. 12845-12853 - Chenlong Wu, Ze Wang, Keqing Cen, Yude Bai, Jin Hao:
Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph. 12854-12862 - Siqi Wu, Yinda Chen, Dong Liu, Zhihai He:
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression. 12863-12871 - Shuyin Xia, Xinjun Ma, Zhiyuan Liu, Cheng Liu, Sen Zhao, Guoyin Wang:
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training. 12872-12880 - Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao:
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. 12881-12889 - Fei Xiong, Tao Zhang, Shirui Pan, Guixun Luo, Liang Wang:
Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning. 12890-12898 - Cong Xu, Yunhang He, Jun Wang, Wei Zhang:
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. 12899-12907 - Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai:
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation. 12908-12917 - Kaichen Xu, Qilong Wu, Yan Lu, Yinan Zheng, Wenlin Li, Xingjie Tang, Jun Wang, Xiaobo Sun:
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics. 12918-12926 - Kuan Xu, Kuo Yang, Jian Liu, Xiangkui Lu, Jun Wu, Xuezhong Zhou:
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank. 12927-12935 - Mingtao Xu, Wei Wei, Peixuan Yang, Hulong Wu:
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering. 12936-12944 - Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li:
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy. 12945-12953 - Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou:
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification. 12954-12962 - Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen:
Out-of-Distribution Generalization on Graphs via Progressive Inference. 12963-12971 - Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen:
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. 12972-12980 - Zhengfei Xu, Sijia Zhao, Yanchao Hao, Xiaolong Liu, Lili Li, Yuyang Yin, Bo Li, Xi Chen, Xin Xin:
Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking. 12981-12989 - Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi:
Federated Graph Condensation with Information Bottleneck Principles. 12990-12998 - Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu, Junyu Dong:
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data. 12999-13007 - Bokang Yang, Zhe Zhang, Jie Ma:
Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection. 13008-13016 - Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding:
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning. 13017-13025 - Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Yang Juan, Chuan Shi:
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer. 13026-13034 - Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie, Xiangxu Meng:
Curriculum Conditioned Diffusion for Multimodal Recommendation. 13035-13043 - Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu:
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. 13044-13051 - Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng, Liang He:
Disentangled Modeling of Preferences and Social Influence for Group Recommendation. 13052-13060 - Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang:
Disentangling Tabular Data Towards Better One-Class Anomaly Detection. 13061-13068 - Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong:
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. 13069-13077 - Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim:
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection. 13078-13086 - Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang:
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. 13087-13095 - Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao:
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation. 13096-13105 - Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu:
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. 13106-13114 - Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei:
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection. 13115-13123 - Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu, Victor S. Sheng:
Fuzzy Collaborative Reasoning. 13124-13132 - Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao:
Dynamic Graph Learning with Static Relations for Credit Risk Assessment. 13133-13141 - Weiqi Yue, Yuyu Yin, Xin Zhang, Binbin Shi, Tingting Liang, Jian Wan:
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems. 13142-13151 - Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng:
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks. 13152-13160 - Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu:
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis. 13161-13169 - Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang:
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. 13170-13178 - Bowen Zhang, Zhichao Huang, Guangning Xu, Xiaomao Fan, Mingyan Xiao, Genan Dai, Hu Huang:
Core Knowledge Learning Framework for Graph. 13179-13187 - Chenhao Zhang, Wei Gao:
AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression. 13188-13196 - Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. 13197-13205 - Fan Zhang, Changhu Wang, Zebang Cheng, Xiaojiang Peng, Dongjie Wang, Yijia Xiao, Chong Chen, Xian-Sheng Hua, Xiao Luo:
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval. 13206-13214 - Guangyi Zhang, Hanlei Li, Yunlong Cai, Qiyu Hu, Guanding Yu, Runmin Zhang:
Learned Image Transmission with Hierarchical Variational Autoencoder. 13215-13223 - Hao Zhang, Wei Chen, Xingyu Zhao, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu:
Scalable Trajectory-User Linking with Dual-Stream Representation Networks. 13224-13232 - Jiaqiang Zhang, Songcan Chen:
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference. 13233-13241 - Jinyu Zhang, Zhongying Zhao, Chao Li, Yanwei Yu:
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation. 13242-13250 - Junxuan Zhang, Zhengxue Cheng, Yan Zhao, Shihao Wang, Dajiang Zhou, Guo Lu, Li Song:
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression. 13251-13259 - Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu:
Trigger3: Refining Query Correction via Adaptive Model Selector. 13260-13268 - Qiqi Zhang, Chao Li, Zhongying Zhao:
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder. 13269-13276 - Sensen Zhang, Xun Liang, Simin Niu, Zhendong Niu, Bo Wu, Gengxin Hua, Long Wang, Zhenyu Guan, Hanyu Wang, Xuan Zhang, Zhiyu Li, Yuefeng Ma:
Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere. 13277-13285 - Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. 13286-13294 - Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. 13295-13303 - Xu Zhang, Qitong Wang, Peng Wang, Wei Wang:
A Lightweight Sparse Interaction Network for Time Series Forecasting. 13304-13312 - Ye Zhang, Yanqi Gao, Dongjie Wang, Yupeng Zhou, Jinlong He, Zhaoyang Sun, Minghao Yin:
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning. 13313-13321 - Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen:
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. 13322-13330 - Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi:
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. 13331-13338 - Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang:
LLM-Powered User Simulator for Recommender System. 13339-13347 - Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang:
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks. 13348-13356 - Maochang Zhao, Jing Zhang:
Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning. 13357-13364 - Shuyuan Zhao, Wei Chen, Boyan Shi, Liyong Zhou, Shuohao Lin, Huaiyu Wan:
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation. 13365-13373 - Siqian Zhao, Sherry Sahebi:
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling. 13374-13382 - Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen:
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs. 13383-13391 - Yuhan Zhao, Rui Chen, Li Chen, Shuang Zhang, Qilong Han, Hongtao Song:
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking. 13392-13400 - Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang:
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. 13401-13409 - Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu:
Dynamic Spectral Graph Anomaly Detection. 13410-13418 - Qi Zheng, Zihao Yao, Yaying Zhang:
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting. 13419-13427 - Zijie Zhou, Zhaoqi Lu, Xuekai Wei, Rongqin Chen, Shenghui Zhang, Pak Lon Ip, Leong Hou U:
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification. 13428-13436 - Jianxiang Zhu, Dandan Lai, Zhongcui Ma, Yaxin Peng:
The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space. 13437-13445 - Man Zhu, Pengfei Huang, Lei Gu, Xiaolong Xu, Jingyu Han:
Representation Learning Based Predicate Invention on Knowledge Graphs. 13446-13454 - Wenqiao Zhu, Lulu Wang, Jun Wu:
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling. 13455-13463 - Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang:
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training. 13464-13472 - Shuman Zhuang, Zhihao Wu, Zhaoliang Chen, Hong-Ning Dai, Ximeng Liu:
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement. 13473-13482 - Zhipeng Zou, Sheng Wan, Guangyu Li, Bo Han, Tongliang Liu, Lin Zhao, Chen Gong:
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection. 13483-13491 - Ziyun Zou, Yinghui Jiang, Lian Shen, Juan Liu, Xiangrong Liu:
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views. 13492-13500
Technical Tracks 13
- Salam Afiouni, Jakub Cerný, Chun Kai Ling, Christian Kroer:
Commitment to Sparse Strategies in Two-Player Games. 13502-13509 - Yasunori Akagi, Hideaki Kim, Takeshi Kurashima:
A Continuous-time Tractable Model for Present-biased Agents. 13510-13519 - Hannaneh Akrami, Nidhi Rathi:
Epistemic EFX Allocations Exist for Monotone Valuations. 13520-13528 - Hannaneh Akrami, Nidhi Rathi:
Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously. 13529-13537 - Shiri Alouf-Heffetz, Lukasz Janeczko, Grzegorz Lisowski, Georgios Papasotiropoulos:
The Cost Perspective of Liquid Democracy: Feasibility and Control. 13538-13546 - Nan An, Weian Li, Qi Qi, Liang Zhang:
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms. 13547-13554 - Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa:
EF2X Exists for Four Agents. 13555-13563 - Yannan Bai, Kamesh Munagala, Yiheng Shen, Ian Zhang:
Fair Division via the Cake-Cutting Share. 13564-13571 - Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm:
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition. 13572-13580 - Tuva Bardal, Markus Brill, David McCune, Jannik Peters:
Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections. 13581-13588 - Siddharth Barman, Soroush Ebadian, Mohamad Latifian, Nisarg Shah:
Fair Division with Market Values. 13589-13596 - Logan E. Beaver:
Multi-Robot Task Allocation Using Global Games with Negative Feedback: The Colony Maintenance Problem. 13597-13604 - Mark Bedaywi, Bailey Flanigan, Mohamad Latifian, Nisarg Shah:
The Distortion of Public-Spirited Participatory Budgeting. 13605-13613 - Xiaohui Bei, Pinyan Lu, Zhiqi Wang, Tao Xiao, Xiang Yan:
Optimal Auction Design for Mixed Bidders. 13614-13621 - Julian Berger, Tobias Friedrich, Pascal Lenzner, Paraskevi Machaira, Janosch Ruff:
Strategic Network Creation for Enabling Greedy Routing. 13622-13630 - Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer:
The Value of Recall in Extensive-Form Games. 13631-13640 - Umang Bhaskar, Soumyajit Pyne:
Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line. 13641-13648 - Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner, Fabian R. Pieroth, Barbara I. Wohlmuth:
Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games. 13649-13657 - Joseph Bills, Christopher Archibald, Diego Blaylock:
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy. 13658-13666 - Felix Brandt, Patrick Lederer:
Weak Strategyproofness in Randomized Social Choice. 13667-13674 - Ioannis Caragiannis, Kurt Mehlhorn, Nidhi Rathi:
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity. 13675-13682 - Desmond Chan, Bart de Keijzer, Tobias Galla, Stefanos Leonardos, Carmine Ventre:
Asymptotic Extinction in Large Coordination Games. 13683-13690 - Hau Chan, Jianan Lin, Zining Qin, Chenhao Wang:
Mechanism Design for Connecting Regions Under Disruptions. 13691-13699 - Juhi Chaudhary, Hendrik Molter, Meirav Zehavi:
Adaptive Manipulation for Coalitions in Knockout Tournaments. 13700-13708 - Saar Cohen, Noa Agmon:
Online Learning of Coalition Structures by Selfish Agents. 13709-13717 - Benjamin Cookson, Soroush Ebadian, Nisarg Shah:
Constrained Fair and Efficient Allocations. 13718-13726 - Benjamin Cookson, Soroush Ebadian, Nisarg Shah:
Temporal Fair Division. 13727-13734 - Emery Cooper, Caspar Oesterheld, Vincent Conitzer:
Characterising Simulation-Based Program Equilibria. 13735-13744 - Argyrios Deligkas, Eduard Eiben, Robert Ganian, Tiger-Lily Goldsmith, Stavros D. Ioannidis:
The Complexity of Extending Fair Allocations of Indivisible Goods. 13745-13753 - Argyrios Deligkas, Eduard Eiben, Stavros D. Ioannidis, Dusan Knop, Simon Schierreich:
Balanced and Fair Partitioning of Friends. 13754-13762 - Jack Dippel, Max Dupré la Tour, April Niu, Sanjukta Roy, Adrian Vetta:
Eliminating Majority Illusion Is Easy. 13763-13770 - Kate Donahue, Jon M. Kleinberg:
Private Blotto: Viewpoint Competition with Polarized Agents. 13771-13778 - Jing Dong, Baoxiang Wang, Yaoliang Yu:
Last-iterate Convergence in Regularized Graphon Mean Field Game. 13779-13787 - Soroush Ebadian, Nisarg Shah:
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries. 13788-13795 - Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl:
Bounded Rationality Equilibrium Learning in Mean Field Games. 13796-13804 - Edith Elkind, Svetlana Obraztsova, Jannik Peters, Nicholas Teh:
Verifying Proportionality in Temporal Voting. 13805-13813 - Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins:
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. 13814-13822 - Piotr Faliszewski, Jitka Mertlová, Pierre Nunn, Stanislaw Szufa, Tomasz Was:
Distances Between Top-Truncated Elections of Different Sizes. 13823-13830 - Angelo Fanelli, Laurent Gourvès, Ayumi Igarashi, Luca Moscardelli:
Individually Stable Dynamics in Coalition Formation over Graphs. 13831-13838 - Michal Feldman, Jugal Garg, Vishnu V. Narayan, Tomasz Ponitka:
Proportionally Fair Makespan Approximation. 13839-13846 - Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos:
Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size. 13847-13855 - Michele Flammini, Gianluigi Greco, Giovanna Varricchio:
Fair Division with Social Impact. 13856-13863 - Dimitris Fotakis, Laurent Gourvès, Panagiotis Patsilinakos:
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries. 13864-13872 - Rafael M. Frongillo, Manuel E. Lladser, Anish Thilagar, Bo Waggoner:
Forecasting Competitions with Correlated Events. 13873-13880 - Jugal Garg, Xin Huang, Erel Segal-Halevi:
Improved Maximin Share Approximations for Chores by Bin Packing. 13881-13888 - Pratik Ghosal, Vishwa Prakash HV, Prajakta Nimbhorkar, Nithin Varma:
(Almost Full) EFX for Three (and More) Types of Agents. 13889-13896 - Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon:
Federated Assemblies. 13897-13904 - Eden Hartman, Yonatan Aumann, Avinatan Hassidim, Erel Segal-Halevi:
Reducing Leximin Fairness to Utilitarian Optimization. 13905-13914 - Wesley H. Holliday, Alexander Kristoffersen, Eric Pacuit:
Learning to Manipulate Under Limited Information. 13915-13925 - Hadi Hosseini, Shivika Narang, Sanjukta Roy:
Strategyproof Matching of Roommates and Rooms. 13926-13934 - Gangqiang Hu, Jianfeng Lu, Jianmin Han, Shuqin Cao, Jing Liu, Hao Fu:
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning. 13935-13943 - Da Huo, Zhenzhe Zheng, Fan Wu:
Learning Optimal Auctions with Correlated Value Distributions. 13944-13952 - Christopher Jerrett, Yue Han, Elliot Anshelevich:
Metric Distortion of Line-up Elections: The Right Person for the Right Job. 13953-13960 - Kiarash Kazari, Aris Kanellopoulos, György Dán:
Quickest Detection of Adversarial Attacks Against Correlated Equilibria. 13961-13968 - Stanislaw Kazmierowski:
Equilibria of the Colonel Blotto Games with Costs. 13969-13976 - Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer:
Optimal Bounds for Dissatisfaction in Perpetual Voting. 13977-13984 - Alexander Lam, Bo Li, Ankang Sun:
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective. 13985-13992 - Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Kumar S. Vullikanti, Omer Wasim, Haifeng Xu:
Sample Complexity of Linear Regression Models for Opinion Formation in Networks. 13993-14001 - Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg:
Decentralized Convergence to Equilibrium Prices in Trading Networks. 14002-14010 - Mary Monroe, Anish Thilagar, Melody Hsu, Rafael M. Frongillo:
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions. 14011-14018 - Haya Nachimovsky, Moshe Tennenholtz:
On the Power of Strategic Corpus Enrichment in Content Creation Games. 14019-14026 - Tianlong Nan, Yuan Gao, Christian Kroer:
On the Convergence of Tâtonnement for Linear Fisher Markets. 14027-14035 - Tzeh Yuan Neoh, Nicholas Teh:
Understanding EFX Allocations: Counting and Variants. 14036-14044 - Vishwa Prakash HV, Ayumi Igarashi, Rohit Vaish:
Fair and Efficient Completion of Indivisible Goods. 14045-14053 - Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang:
Multi-Apartment Rent Division. 14054-14061 - Haripriya Pulyassary, Chaitanya Swamy:
Constant-Factor Distortion Mechanisms for k-Committee Election. 14062-14069 - Shiri Ron, Daniel Schoepflin:
On the Power of Randomization for Obviously Strategy-Proof Mechanisms. 14070-14078 - Benjamin Schiffer, Shirley Zhang:
Improved Regret Bounds for Online Fair Division with Bandit Learning. 14079-14086 - Xingchen Sha, Shuyu Bao, Hau Chan, Vincent Chau, Ken C. K. Fong, Minming Li:
Facility Location Games with Optional Preferences: A Revisit. 14087-14094 - Jonathan Shaki, Jiarui Gan, Sarit Kraus:
Bayesian Persuasion with Externalities: Exploiting Agent Types. 14095-14102 - Jonathan Shaki, Yonatan Aumann, Sarit Kraus:
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms. 14103-14110 - Juan Shi, Zhaoheng Cao, Jinzhuo Liu, Chen Chu, Zhen Wang:
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games. 14111-14119 - Qi Shi, Pavel Naumov:
Uncommon Belief in Rationality. 14120-14128 - Zhaohong Sun, Makoto Yokoo:
Achieving Balanced Representation in School Choice with Diversity Goals. 14129-14138 - Boaz Taitler, Omer Ben-Porat:
Braess's Paradox of Generative AI. 14139-14147 - Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Tuomas Sandholm, Vincent Conitzer:
Computing Game Symmetries and Equilibria That Respect Them. 14148-14157 - Vinzenz Thoma, Vitor Bosshard, Sven Seuken:
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification. 14158-14166 - Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander, Jon M. Kleinberg:
Replicating Electoral Success. 14167-14175 - Bingchen Wang, Zhaoxuan Wu, Fusheng Liu, Bryan Kian Hsiang Low:
Paid with Models: Optimal Contract Design for Collaborative Machine Learning. 14176-14183 - Yixuan Even Xu, Zhe Feng, Fei Fang:
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games. 14184-14192 - Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao:
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. 14194-14202 - Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar:
Learning Personalized Decision Support Policies. 14203-14211 - Lulu Cao, Zexin Lin, Kay Chen Tan, Min Jiang:
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP. 14212-14220 - Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun:
Long-Term EEG Partitioning for Seizure Onset Detection. 14221-14229 - Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh:
ARTICLE: Annotator Reliability Through In-Context Learning. 14230-14237 - Ruijiang Gao, Mingzhang Yin:
Confounding-Robust Deferral Policy Learning. 14238-14246 - Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao:
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. 14247-14255 - Tao Han, Huaixuan Shi, Xinyi Ding, Xiao Ma, Huamao Gu, Yili Fang:
Mixture of Experts Based Multi-Task Supervise Learning from Crowds. 14256-14264 - Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, Weiqi Luo:
Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing. 14265-14273 - Chenqi Li, Boyan Gao, Gabriel Davis Jones, Timothy Denison, Tingting Zhu:
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion. 14274-14282 - Jiyi Li:
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction. 14283-14291 - Rong Li, Tao Deng, Siwei Feng, Mingjie Sun, Juncheng Jia:
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking. 14292-14300 - Yafei Li, Wei Chen, Jinxing Yan, Huiling Li, Lei Gao, Mingliang Xu:
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing. 14301-14308 - Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu:
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units. 14309-14317 - Minghao Liu, Jiaheng Wei, Yang Liu, James Davis:
Human and AI Perceptual Differences in Image Classification Errors. 14318-14326 - Tingting Liu, Salvatore Giorgi, Ankit Aich, Allison Lahnala, Brenda Curtis, Lyle H. Ungar, João Sedoc:
The Illusion of Empathy: How AI Chatbots Shape Conversation Perception. 14327-14335 - Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi, Gabriele Facciolo:
Optimal and Efficient Binary Questioning for Accelerated Annotation. 14336-14343 - Yuhe Nie, Michael Middleton, Tim Merino, Nidhushan Kanagaraja, Ashutosh Kumar, Zhan Zhuang, Julian Togelius:
Moonshine: Distilling Game Content Generators into Steerable Generative Models. 14344-14351 - Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Wei Huang, Binghui Wang:
Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis. 14352-14360 - Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy:
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation. 14361-14368 - Kenny Peng, Nikhil Garg, Jon M. Kleinberg:
A No Free Lunch Theorem for Human-AI Collaboration. 14369-14376 - Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu:
BotSim: LLM-Powered Malicious Social Botnet Simulation. 14377-14385 - Zhao Shan, Chenyou Fan, Shuang Qiu, Jiyuan Shi, Chenjia Bai:
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies. 14386-14395 - Xianhan Tan, Yu Qi, Yueming Wang:
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise. 14396-14404 - Yinxu Tang, Stylianos Loukas Vasileiou, William Yeoh:
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces. 14405-14413 - Zhibo Tian, Ruijie Quan, Fan Ma, Kun Zhan, Yi Yang:
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities. 14414-14422 - Hao Wang, Li Xu, Yuntao Yu, Weiyue Ding, Yiming Xu:
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning. 14423-14431 - Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. 14432-14440 - Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu:
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition. 14441-14449 - Zhi Xu, Dingkang Yang, Mingcheng Li, Yuzheng Wang, Zhaoyu Chen, Jiawei Chen, Jinjie Wei, Lihua Zhang:
Debiased Multimodal Understanding for Human Language Sequences. 14450-14458 - Yao Yao, Peike Li, Boyu Chen, Alex Wang:
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation. 14459-14467 - Muzhou Yu, Shuyun Lin, Hongwei Yan, Kaisheng Ma:
MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning. 14468-14476 - Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu:
Correcting Large Language Model Behavior via Influence Function. 14477-14485 - Kaifan Zhang, Lihuo He, Xin Jiang, Wen Lu, Di Wang, Xinbo Gao:
CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information. 14486-14493 - Qiuyun Zhang, Bin Guo, Lina Yao, Xiaotian Qiao, Ying Zhang, Zhiwen Yu:
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking. 14494-14501 - Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan:
Learning to Collaborate with Unknown Agents in the Absence of Reward. 14502-14511 - Ervine Zheng, Qi Yu:
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning. 14512-14519 - Gongtao Zhou, Haoran Yu:
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning. 14520-14528 - Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Benyan Luo, Tao Li, Gang Pan:
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation. 14529-14537
Technical Tracks 14
- Aizierjiang Aiersilan:
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner. 14539-14547 - Yishuai Cai, Xinglin Chen, Zhongxuan Cai, Yunxin Mao, Minglong Li, Wenjing Yang, Ji Wang:
MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration. 14548-14557 - Xiaolei Chen, Junchi Yan, Wenlong Liao, Tao He, Pai Peng:
Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. 14558-14566 - Mingquan Feng, Zhijie Chen, Yixin Huang, Yizhou Liu, Junchi Yan:
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method. 14567-14575 - Changxin Huang, Yanbin Chang, Junfan Lin, Junyang Liang, Runhao Zeng, Jianqiang Li:
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution. 14576-14584 - Soojin Jeong, Seongwan Byeon, Sangwoo Kim, HyeokJun Kwon, Yoonseon Oh:
GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation. 14585-14593 - Peida Jia, Xuanheng Li, Tianqiang Zhu, Rina Wu, Xiangbo Lin, Yi Sun:
Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning. 14594-14601 - Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
State-Based Disassembly Planning. 14602-14609 - Jiaxin Li, Weiqi Huang, Zan Wang, Wei Liang, Huijun Di, Feng Liu:
FloNa: Floor Plan Guided Embodied Visual Navigation. 14610-14618 - Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang:
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. 14619-14627 - Zijun Li, Zhipeng Cai, Bochun Yang, Xuelun Shen, Siqi Shen, Xiaoliang Fan, Michael Paulitsch, Cheng Wang:
ConDo: Continual Domain Expansion for Absolute Pose Regression. 14628-14636 - Tongzhou Mu, Zhaoyang Li, Stanislaw Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su:
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? 14637-14645 - Dolev Mutzari, Yonatan Aumann, Sarit Kraus:
Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints. 14646-14654 - Xianxu Qiu, Haiming Huang, Weiwei Chen, Qiuzhen Lin, Wei-Neng Chen, Fuchun Sun:
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks. 14655-14663 - Zhixuan Shen, Haonan Luo, Kexun Chen, Fengmao Lv, Tianrui Li:
Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration. 14664-14672 - Zhanbo Shi, Lin Zhang, Linfei Li, Ying Shen:
Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources. 14673-14680 - Jianhua Sun, Yuxuan Li, Longfei Xu, Jiude Wei, Liang Chai, Cewu Lu:
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects. 14681-14689 - Fangyuan Wang, Shipeng Lyu, Peng Zhou, Anqing Duan, Guodong Guo, David Navarro-Alarcon:
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation. 14690-14698 - Wentao Wang, Jiaqian Wang, Yuxin Deng, Guang Tan:
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays. 14699-14707 - Wei Xie, Haobo Jiang, Yun Zhu, Jianjun Qian, Jin Xie:
NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation. 14708-14716 - Hongyu Yan, Yadong Mu:
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images. 14717-14725 - Hongzhi Zang, Yulun Zhang, He Jiang, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li:
Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. 14726-14735 - Hongliang Zeng, Ping Zhang, Fang Li, QinPeng Yi, Tingyu Ye, Jiahua Wang:
GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model. 14736-14744 - Dapeng Zhang, Dayu Chen, Peng Zhi, Yinda Chen, Zhenlong Yuan, Chenyang Li, Sunjing, Rui Zhou, Qingguo Zhou:
MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert. 14745-14753 - Qinglun Zhang, Zhen Liu, Haoqiang Fan, Guanghui Liu, Bing Zeng, Shuaicheng Liu:
FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation. 14754-14762 - Shuai Zhou, Shizhe Zhao, Zhongqiang Ren:
Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions. 14763-14770 - Sebastian Adam, Thomas Eiter:
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning. 14772-14780 - Carlos Aguilera-Ventura, Jonathan Ben-Naim, Andreas Herzig:
Minimal Change in Modal Logic S5. 14781-14789 - Lars Bengel, Giovanni Buraglio, Jan Maly, Kenneth Skiba:
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation. 14790-14797 - Stefano Bistarelli, Victor David, Pierre Monnin, Francesco Santini, Carlo Taticchi:
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks. 14798-14805 - Yukun Cao, Lisheng Wang, Luobin Huang:
DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning. 14806-14814 - Wei Chen, Yuting Wu, Shuhan Wu, Zhiyu Zhang, Mengqi Liao, Youfang Lin, Huaiyu Wan:
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework. 14815-14823 - Gianluca Cima, Marco Console, Roberto Maria Delfino, Maurizio Lenzerini, Antonella Poggi:
Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases. 14824-14831 - Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera:
A Practical Approach to Causal Inference over Time. 14832-14839 - Glauber De Bona, Anthony Hunter:
Germane Conflicts: Desirable Properties for Localising Inconsistency. 14840-14847 - Giuseppe De Giacomo, Yves Lespérance, Matteo Mancanelli:
Situation Calculus Temporally Lifted Abstractions for Generalized Planning. 14848-14857 - Tiago de Lima, Emiliano Lorini, Elise Perrotin, François Schwarzentruber:
A Computationally Grounded Framework for Cognitive Attitudes. 14858-14866 - Mateus de Oliveira Oliveira:
Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth. 14867-14874 - Hao Dong, Zheyuan Shi, Hemeng Zeng, Yongmei Liu:
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types. 14875-14884 - Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal:
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. 14885-14892 - Jorge Fandinno, Zachary Hansen:
Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence. 14893-14901 - Jorge Fandinno, Lute Lillo:
Solving Epistemic Logic Programs Using Generate-and-Test with Propagation. 14902-14910 - Liangda Fang, Xiaoman Wang, Zhang Chen, Kailun Luo, Zhenhe Cui, Quanlong Guan:
A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus. 14911-14921 - Eduardo L. Fermé, Andreas Herzig, Maria Vanina Martinez:
On the Logic of Theory Base Change: Reformulation of Belief Bases. 14922-14929 - Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni:
Argumentative Large Language Models for Explainable and Contestable Claim Verification. 14930-14939 - Luca Geatti, Alessandro Gianola, Nicola Gigante:
First-Order Automata. 14940-14948 - Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan:
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models. 14949-14957 - Christian Hagemeier, Giuseppe De Giacomo, Moshe Y. Vardi:
LTLf Synthesis Under Unreliable Input. 14958-14966 - Jesse Heyninck:
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation. 14967-14975 - Till Hofmann, Jens Claßen:
LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments. 14976-14986 - Petr Illner:
New Compilation Languages Based on Restricted Weak Decomposability. 14987-14996 - Yusuf Izmirlioglu:
Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming. 14997-15004 - Yue Jian, Xiangyu Luo, Zhifei Li, Miao Zhang, Yan Zhang, Kui Xiao, Xiaoju Hou:
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty. 15005-15013 - Ruiqi Jin, Yongmei Liu, Liping Xiong:
A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity. 15014-15023 - Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv:
Reasoning About Actual Causes in Nondeterministic Domains. 15024-15032 - Spencer Killen, Jia-Huai You, Jesse Heyninck:
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships. 15033-15040 - Daxin Liu, Jens Claßen:
On Action Theories with Iterable First-Order Progression. 15041-15048 - Minghao Liu, David M. Cerna, Filipe Gouveia, Andrew Cropper:
Scalable Knowledge Refactoring Using Constrained Optimisation. 15049-15057 - Yasir Mahmood, Markus Hecher, Axel-Cyrille Ngonga Ngomo:
Dung's Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases. 15058-15066 - Quentin Manière, Marcin Przybylko:
Spectra of Cardinality Queries over Description Logic Knowledge Bases. 15067-15074 - Periklis Mantenoglou, Alexander Artikis:
Temporal Specification Optimisation for the Event Calculus. 15075-15082 - Lorenzo Marconi, Riccardo Rosati:
Consistent Query Answering over Existential Rules with Open and Closed Predicates. 15083-15091 - Chunyan Mu, Nima Motamed, Natasha Alechina, Brian Logan:
Probabilistic Strategy Logic with Degrees of Observability. 15092-15099 - Ryoma Onaka, Kengo Nakamura, Masaaki Nishino, Norihito Yasuda:
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD. 15100-15108 - Ryoma Onaka, Kengo Nakamura, Masaaki Nishino, Norihito Yasuda:
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs. 15109-15117 - Elise Perrotin:
A Logical Analysis of Hanabi. 15118-15125 - Erik Rauer, Samik Basu, Vasant G. Honavar:
Checking Consistency of CP-Theory Preferences in Polynomial Time. 15126-15133 - Andoni Rodríguez, Guy Amir, Davide Corsi, César Sánchez, Guy Katz:
Shield Synthesis for LTL Modulo Theories. 15134-15142 - Yakoub Salhi:
A Variable Occurrence-Centric Framework for Inconsistency Handling. 15143-15150 - Yu Sheng, Linjing Li, Daniel Dajun Zeng:
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models. 15151-15159 - Wenhang Shi, Yiren Chen, Shuqing Bian, Xinyi Zhang, Zhe Zhao, Pengfei Hu, Wei Lu, Xiaoyong Du:
Joint Knowledge Editing for Information Enrichment and Probability Promotion. 15160-15168 - Guokai Sun, Yuan Zhuang, Shuo Zhang, Xiaoyu Feng, Zhenguang Liu, Liguo Zhang:
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation. 15169-15176 - Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski:
Column-Oriented Datalog on the GPU. 15177-15185 - Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang:
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. 15186-15194 - Ruolin Wang, Yuejiao Xu, Jianmin Ji:
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios. 15195-15202 - Shaoyu Wang, Kaiyue Zhao, Dongliang Wei, Przemyslaw Andrzej Walega, Dingmin Wang, Hongming Cai, Pan Hu:
Goal-Driven Reasoning in DatalogMTL with Magic Sets. 15203-15211 - Yajing Wang, Zongwei Luo, Jingzhe Wang, Zhanke Zhou, Yongqiang Chen, Bo Han:
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks. 15212-15220 - Lukas Westhofen, Jean Christoph Jung, Daniel Neider:
Temporal Conjunctive Query Answering via Rewriting. 15221-15229 - Chuhong Yang, Bin Li, Nan Wu:
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion. 15230-15238 - Duanyang Yuan, Sihang Zhou, Xiaoshu Chen, Dong Wang, Ke Liang, Xinwang Liu, Jian Huang:
Knowledge Graph Completion with Relation-Aware Anchor Enhancement. 15239-15247 - Bo Zhang, Jianghua Zhu, Chaozhuo Li, Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou:
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking. 15248-15256 - Heng Zhang, Guifei Jiang, Donghui Quan:
A Theory of Formalisms for Representing Knowledge. 15257-15264 - Daoming Zong, Chaoyue Ding, Kaitao Chen, Yinsheng Li, Shuaiyu Wang:
Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning. 15265-15273
Technical Tracks 15
- Wenqian Li, Pengfei Fang, Hui Xue:
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. 15275-15283 - Azwar Abdulsalam, Joseph G. Makin:
Exponential-Family Harmoniums with Neural Sufficient Statistics. 15284-15292 - Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp:
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. 15293-15301 - Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni:
Bootstrapped Reward Shaping. 15302-15310 - Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. 15311-15319 - Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P, Vineeth N. Balasubramanian:
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models. 15320-15329 - Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu:
Active Fourier Auditor for Estimating Distributional Properties of ML Models. 15330-15338 - Antonios Alexos, Ian Domingo, Pierre Baldi:
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance. 15339-15346 - Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna:
Even-if Explanations: Formal Foundations, Priorities and Complexity. 15347-15355 - Seunghwan An, Gyeongdong Woo, Jaesung Lim, ChangHyun Kim, Sungchul Hong, Jong-June Jeon:
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis. 15356-15364 - Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen:
Unleashing the Potential of Model Bias for Generalized Category Discovery. 15365-15373 - Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar:
Approximating Metric Magnitude of Point Sets. 15374-15381 - Sébastien Andreina, Pascal Zimmer, Ghassan Karame:
On the Robustness of Distributed Machine Learning Against Transfer Attacks. 15382-15390 - Bailey Andrew, David R. Westhead, Luisa Cutillo:
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data. 15391-15398 - Gautham Govind Anil, Pascal Mattia Esser, Debarghya Ghoshdastidar:
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? 15399-15407 - Naheed Anjum Arafat, Debabrota Basu, Yulia R. Gel, Yuzhou Chen:
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning. 15408-15416 - Baran Atalar, Carlee Joe-Wong:
Neural Combinatorial Clustered Bandits for Recommendation Systems. 15417-15426 - Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady:
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA. 15427-15435 - Yossi Azar, Shahar Lewkowicz, Varun Suriyanarayana:
List Update with Prediction. 15436-15444 - Seungheun Baek, Soyon Park, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim, Jaewoo Kang:
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement. 15445-15452 - Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang:
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. 15453-15461 - Yunwei Bai, Ying Kiat Tan, Shiming Chen, Yao Shu, Tsuhan Chen:
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation. 15462-15471 - András Balogh, Márk Jelasity:
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching. 15472-15480 - Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav:
Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants. 15481-15488 - Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li:
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity. 15489-15497 - Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li, Hakop Pashayan:
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally. 15498-15506 - Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón:
Deep-Union Completion. 15507-15515 - Gabriel Bathie, Guillaume Lagarde:
A (1+?)-Approximation for Ultrametric Embedding in Subquadratic Time. 15516-15523 - Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi:
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning. 15524-15531 - Mark Beliaev, Ramtin Pedarsani:
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. 15532-15540 - Matej Benko, Iwona Chlebicka, Jørgen Endal, Blazej Miasojedow:
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity. 15541-15549 - Liat Bezalel, Eyal Orgad, Amir Globerson:
Teaching Models to Improve on Tape. 15550-15558 - Arnab Bhattacharyya, Davin Choo, Sutanu Gayen, Dimitrios Myrisiotis:
Learnability of Parameter-Bounded Bayes Nets. 15559-15566 - Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu:
Unsupervised Audio-Visual Segmentation with Modality Alignment. 15567-15575 - Arthur Bizzi, Lucas Nissenbaum, João M. Pereira:
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure. 15576-15586 - Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann, Nikolai Maas:
Weighted Embeddings for Low-Dimensional Graph Representation. 15587-15595 - Kristin Blesch, Niklas Koenen, Jan Kapar, Pegah Golchian, Lukas Burk, Markus Loecher, Marvin N. Wright:
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests. 15596-15604 - Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman:
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function. 15605-15613 - Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar:
Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning. 15614-15621 - Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Massimiliano Ronzani:
Generating Counterfactual Explanations Under Temporal Constraints. 15622-15631 - Dmitry Bylinkin, Aleksandr Beznosikov:
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity. 15632-15640 - Ruichu Cai, Haiqin Huang, Zhifan Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao:
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting. 15641-15649 - Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yi Wang, Qionghao Huang:
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection. 15650-15658 - Filip Cano, Thomas A. Henzinger, Bettina Könighofer, Konstantin Kueffner, Kaushik Mallik:
Fairness Shields: Safeguarding against Biased Decision Makers. 15659-15668 - Stephen Carrow, Kyle Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Khan, Ndivhuwo Makondo, Alexander G. Gray:
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations. 15669-15677 - Asaf B. Cassel, Orin Levy, Yishay Mansour:
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits. 15678-15685 - Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin:
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. 15686-15695 - Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee:
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models. 15696-15703 - Pritish Chakraborty, Vinayak Gupta, Rahul R, Srikanta J. Bedathur, Abir De:
Differentiable Adversarial Attacks for Marked Temporal Point Processes. 15704-15712 - Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen:
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering. 15713-15721 - Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa:
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning. 15722-15730 - Ao Chen, Xiren Zhou, Huanhuan Chen:
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space. 15731-15739 - Boyu Chen, Peike Li, Yao Yao, Alex Wang:
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning. 15740-15748 - Chaofan Chen, Xiaoshan Yang, Changsheng Xu:
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning. 15749-15757 - Chen Chen, Liangjin Zhao, Yuanchun He, Yingxuan Long, Kaiqiang Chen, Zhirui Wang, Yanfeng Hu, Xian Sun:
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing. 15758-15766 - Haishun Chen, Cai Xu, Ziyu Guan, Wei Zhao, Jinlong Liu:
Biased Incomplete Multi-View Learning. 15767-15775 - Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp:
FedPop: Federated Population-based Hyperparameter Tuning. 15776-15784 - Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Jun Hu, Qing Wang, Fanjiang Xu:
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning. 15785-15794 - Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Xi Peng:
Cross-View Graph Consistency Learning for Invariant Graph Representations. 15795-15802 - Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li:
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent. 15803-15811 - Junchi Chen, Richong Zhang, Junfan Chen:
Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities. 15812-15820 - Liuqing Chen, Shuhong Xiao, Shixian Ding, Shanhai Hu, Lingyun Sun:
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning. 15821-15829 - Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang:
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. 15830-15838 - Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang:
Federated Foundation Models on Heterogeneous Time Series. 15839-15847 - Tianyi Chen, Yunfei Zhang, Lianxin Xie, Wenjun Shen, Si Wu, Hau-San Wong:
SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration. 15848-15856 - Wei Chen, Junxiang Mao, Min-Ling Zhang:
Learnware Specification via Label-Aware Neural Embedding. 15857-15865 - Wei Chen, Yi Zhou:
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning. 15866-15874 - Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang:
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. 15875-15883 - Weiguo Chen, Changjian Wang, Shijun Li, Kele Xu, Yanru Bai, Wei Chen, Shanshan Li:
Debiased Active Learning with Variational Gradient Rectifier. 15884-15894 - Xi Chen, Zhihui Zhu, Andrew Perrault:
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards. 15895-15903 - Xiaobing Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun:
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. 15904-15912 - Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi:
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences. 15913-15921 - Xu-Yang Chen, Lu Han, De-Chuan Zhan, Han-Jia Ye:
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification. 15922-15929 - Yangkun Chen, Kai Yang, Jian Tao, Jiafei Lyu:
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning. 15930-15938 - Yawei Chen, Huibing Wang, Jinjia Peng, Yang Wang:
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering. 15939-15947 - Yiyuan Chen, Donghai Guan, Weiwei Yuan, Tianzi Zang:
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing. 15948-15956 - Yu Chen, Shuai Zheng, Nianyi Wang, Menglong Jin, Yan Chang:
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft. 15957-15965 - Yujie Chen, Wenhui Wu, Le Ou-Yang, Ran Wang, Debby D. Wang:
GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling. 15966-15974 - Yupeng Chen, Penglin Chen, Xiaoyu Zhang, Yixian Huang, Qian Xie:
EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models. 15975-15983 - Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li:
Attack-inspired Calibration Loss for Calibrating Crack Recognition. 15984-15992 - Zixi Chen, Yumin Xu, Ruixun Zhang:
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence. 15993-16000 - Junwei Cheng, Chaobo He, Pengxing Feng, Weixiong Liu, Kunlin Han, Yong Tang:
Community-Aware Variational Autoencoder for Continuous Dynamic Networks. 16001-16009 - Minjie Cheng, Dixin Luo, Hongteng Xu:
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization. 16010-16018 - Dahun Choi, Hyun Kim:
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers. 16019-16027 - Jinhyeok Choi, Heehyeon Kim, Joyce Jiyoung Whang:
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors. 16028-16036 - Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee:
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. 16037-16045 - Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse, Xiyuan Zhang, Diyan Teng, Rashmi Kulkarni, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition. 16046-16054 - Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou:
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings. 16055-16063 - Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton:
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. 16064-16072 - Matej Cief, Branislav Kveton, Michal Kompan:
Cross-Validated Off-Policy Evaluation. 16073-16081 - Ranthony A. Clark, Tom Needham, Thomas Weighill:
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance. 16082-16090 - Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall:
Probabilistic Shielding for Safe Reinforcement Learning. 16091-16099 - Fangming Cui, Jan Fong, Rongfei Zeng, Xinmei Tian, Jun Yu:
A Similarity Paradigm Through Textual Regularization Without Forgetting. 16100-16108 - Wenjun Cui, Qiyu Kang, Xuhao Li, Kai Zhao, Wee Peng Tay, Weihua Deng, Yidong Li:
Neural Variable-Order Fractional Differential Equation Networks. 16109-16117 - Yawen Cui, Li Liu, Zitong Yu, Guanjie Huang, Xiaopeng Hong:
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization. 16118-16126 - Annie D'souza, Swetha M, Sunita Sarawagi:
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class. 16127-16134 - Sebastian Dalleiger, Aristides Gionis:
Creating Coherence in Federated Non-Negative Matrix Factorization. 16135-16143 - Sebastian Dalleiger, Jilles Vreeken, Michael Kamp:
Federated Binary Matrix Factorization Using Proximal Optimization. 16144-16152 - Vedant Dave, Elmar Rueckert:
Skill Disentanglement in Reproducing Kernel Hilbert Space. 16153-16162 - Aram Davtyan, Sepehr Sameni, Björn Ommer, Paolo Favaro:
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation. 16163-16171 - Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm. 16172-16180 - Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra:
Relational Neurosymbolic Markov Models. 16181-16189 - Riccardo Della Vecchia, Debabrota Basu:
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback. 16190-16198 - Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang:
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings. 16199-16207 - Jiaxin Deng, Junbiao Pang, Baochang Zhang, Guodong Guo:
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. 16208-16216 - Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li:
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement. 16217-16225 - Juncan Deng, Shuaiting Li, Zeyu Wang, Hong Gu, Kedong Xu, Kejie Huang:
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers. 16226-16234 - Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu:
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers. 16235-16243 - Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao:
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. 16244-16252 - Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown:
Enhancing Multimodal Affective Analysis with Learned Live Comment Features. 16253-16261 - Joshua DeOliveira, Walter Gerych, Elke A. Rundensteiner:
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training. 16262-16270 - Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia, Frédéric Giroire, Eoin Thomas:
Attribute Inference Attacks for Federated Regression Tasks. 16271-16279 - Wenjun Ding, Ying An, Lixing Chen, Shichao Kan, Fan Wu, Zhe Qu:
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? 16280-16288 - Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao:
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation. 16289-16297 - Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad:
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. 16298-16307 - Marharyta Domnich, Julius Välja, Rasmus Moorits Veski, Giacomo Magnifico, Kadi Tulver, Eduard Barbu, Raul Vicente:
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments. 16308-16316 - Jinzong Dong, Zhaohui Jiang, Dong Pan, Haoyang Yu:
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling. 16317-16326 - Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu:
ParZC: Parametric Zero-Cost Proxies for Efficient NAS. 16327-16335 - Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao:
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games. 16336-16344 - Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi:
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning. 16345-16353 - Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin:
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. 16354-16362 - Ilan Doron-Arad:
On the Hardness of Training Deep Neural Networks Discretely. 16363-16371 - Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu:
Rebalancing Multi-Label Class-Incremental Learning. 16372-16380 - Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian:
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization. 16381-16388 - Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo:
OpenViewer: Openness-Aware Multi-View Learning. 16389-16397
Technical Tracks 16
- Wei Du, Hongmin Sun, Hang Gao, Gaoyang Li, Ying Li:
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs. 16399-16407 - Xin Du, Kumiko Tanaka-Ishii:
Information-Theoretic Generative Clustering of Documents. 16408-16417 - Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru:
Active Reinforcement Learning Strategies for Offline Policy Improvement. 16418-16425 - Chen Dun, Mirian del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis:
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. 16426-16434 - Sharmila Duppala, Nathaniel Grammel, Juan Luque, Calum MacRury, Aravind Srinivasan:
Proportionally Fair Matching via Randomized Rounding. 16435-16443 - Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara, Luis Belmar-Letelier:
Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification. 16444-16452 - Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad, Lu Hou, Boxing Chen, Masoud Asgharian, Vahid Partovi Nia:
OAC: Output-adaptive Calibration for Accurate Post-training Quantization. 16453-16461 - Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi:
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport. 16462-16470 - Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber:
Learning Regularization for Graph Inverse Problems. 16471-16479 - Abdelmonem Elrefaey, Rong Pan:
Causal Discovery by Interventions via Integer Programming. 16480-16487 - Youssouf Emine, Alexandre Forel, Idriss Malek, Thibaut Vidal:
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles. 16488-16495 - Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman:
Deep Generative Model for Mechanical System Configuration Design. 16496-16504 - Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang:
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning. 16505-16513 - Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang:
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. 16514-16522 - Jiang Fang, Haonan He, Jiyan Sun, Jiadong Fu, Zhaorui Guo, Yinlong Liu, Wei Ma:
3SAT: A Simple Self-Supervised Adversarial Training Framework. 16523-16531 - Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu:
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning. 16532-16540 - Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu:
Rapid Learning in Constrained Minimax Games with Negative Momentum. 16541-16549 - Jianwei Fei, Yunshu Dai, Zhihua Xia, Fangjun Huang, Jiantao Zhou:
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting. 16550-16558 - Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas:
An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control. 16559-16567 - Jun Feng, Yuzhe Lai, Hong Sun, Bocheng Ren:
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning. 16568-16576 - Songtao Feng, Michael Dorothy, Jie Fu:
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization. 16577-16585 - Wei Feng, Danting Liu, Qianqian Wang, Wenqi Liang, Zheng Yan:
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization. 16586-16594 - Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno:
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. 16595-16603 - Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Puchen Xu, Eyke Hüllermeier, Paul Weng, Yifei Zhu:
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback. 16604-16612 - Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Suyuan Liu, Qian Qu, Renxiang Guan, Huiying Xu, Xinwang Liu:
Incremental Nyström-based Multiple Kernel Clustering. 16613-16621 - Robert Simon Fong, Boyu Li, Peter Tino:
Universality of Real Minimal Complexity Reservoir. 16622-16629 - Alexis Fox, Samarth Swarup, Abhijin Adiga:
A Unifying Information-theoretic Perspective on Evaluating Generative Models. 16630-16638 - En Fu, Yanyan Hu:
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning. 16639-16647 - Lele Fu, Sheng Huang, Yanyi Lai, Tianchi Liao, Chuanfu Zhang, Chuan Chen:
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. 16648-16656 - Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li:
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. 16657-16665 - Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li:
Discrete Curvature Graph Information Bottleneck. 16666-16673 - Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li:
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. 16674-16681 - Dorian Gailhard, Enzo Tartaglione, Lirida Naviner, Jhony H. Giraldo:
HYGENE: A Diffusion-Based Hypergraph Generation Method. 16682-16690 - Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki, Piotr Sankowski:
Accurate Estimation of Feature Importance Faithfulness for Tree Models. 16691-16698 - Franco Galante, Giovanni Neglia, Emilio Leonardi:
Scalable Decentralized Algorithms for Online Personalized Mean Estimation. 16699-16707 - Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang:
QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception. 16708-16716 - Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu:
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. 16717-16726 - Jiaxin Gao, Qinglong Cao, Yuntian Chen:
Auto-Regressive Moving Diffusion Models for Time Series Forecasting. 16727-16735 - Min Gao, Haifeng Zheng, Xinxin Feng, Ran Tao:
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning. 16736-16744 - Shiqi Gao, Tianxiang Gong, Zijie Lin, Runhua Xu, Haoyi Zhou, Jianxin Li:
FLUE: Streamlined Uncertainty Estimation for Large Language Models. 16745-16753 - Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu:
Asymmetric Reinforcing Against Multi-Modal Representation Bias. 16754-16762 - Zijian Gao, Shanhao Han, Xingxing Zhang, Kele Xu, Dulan Zhou, Xinjun Mao, Yong Dou, Huaimin Wang:
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning. 16763-16771 - Jorge García-Carrasco, Alejandro Maté, Juan Trujillo:
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference. 16772-16780 - Eloy Geenjaar, Lie Lu:
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning. 16781-16789 - Xiwen Geng, Suyun Zhao, Yixin Yu, Borui Peng, Pan Du, Hong Chen, Cuiping Li, Mengdie Wang:
Personalized Clustering via Targeted Representation Learning. 16790-16798 - Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus:
Learning Physics Informed Neural ODEs with Partial Measurements. 16799-16807 - Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Auditing and Enforcing Conditional Fairness via Optimal Transport. 16808-16816 - Augustin Godinot, Erwan Le Merrer, Camilla Penzo, François Taïani, Gilles Trédan:
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes. 16817-16825 - Fengjiao Gong, Angxiao Yue, Hongteng Xu:
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning. 16826-16834 - Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang:
Out-of-Distribution Detection with Prototypical Outlier Proxy. 16835-16843 - Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu:
Evolutionary Large Language Model for Automated Feature Transformation. 16844-16852 - Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi:
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation. 16853-16861 - Xiuwen Gong, Nitin Bisht, Guandong Xu:
Conformal Prediction for Partial Label Learning. 16862-16870 - Xueping Gong, Jiheng Zhang:
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints. 16871-16879 - Ze Gong, Akshat Kumar, Pradeep Varakantham:
Offline Safe Reinforcement Learning Using Trajectory Classification. 16880-16887 - Tony Gracious, Arman Gupta, Ambedkar Dukkipati:
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs. 16888-16896 - Tony Gracious, Ambedkar Dukkipati:
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks. 16897-16905 - Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb:
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. 16906-16914 - Yang Gu, Jian Cao, Hengyu You, Nengjun Zhu, Shiyou Qian:
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model. 16915-16923 - Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim:
Heterogeneous Graph Neural Network on Semantic Tree. 16924-16932 - Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Chang Tang, Yu Feng, Junhong Li, Baili Xiao, Xinwang Liu:
Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data. 16933-16941 - Zenghao Guan, Yucan Zhou, Xiaoyan Gu:
Capture Global Feature Statistics for One-Shot Federated Learning. 16942-16950 - Haoren Guo, Haiyue Zhu, Jiahui Wang, Prahlad Vadakkepat, Weng Khuen Ho, Tong Heng Lee:
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment. 16951-16959 - Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan:
Exploring Vacant Classes in Label-Skewed Federated Learning. 16960-16968 - Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu:
A New Federated Learning Framework Against Gradient Inversion Attacks. 16969-16977 - Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li:
Federated Causally Invariant Feature Learning. 16978-16986 - Zirun Guo, Tao Jin, Wenlong Xu, Wang Lin, Yangyang Wu:
Bridging the Gap for Test-Time Multimodal Sentiment Analysis. 16987-16995 - Zirun Guo, Xize Cheng, Yangyang Wu, Tao Jin:
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter. 16996-17004 - Qiuru Hai, Yongjian Deng, Yuena Lin, Zheng Li, Zhen Yang, Gengyu Lyu:
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning. 17005-17013 - Karina Halevy, Karly Hou, Charumathi Badrinath:
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration. 17014-17022 - Seokil Ham, Sangmin Woo, Jin-Young Kim, Hyojun Go, Byeongjun Park, Changick Kim:
Diffusion Model Patching via Mixture-of-Prompts. 17023-17031 - Haorong Han, Jidong Yuan, Chixuan Wei, Zhongyang Yu:
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning. 17032-17040 - Jin Han, Yun Hong, Wu-Jun Li:
DrugHash: Hashing Based Contrastive Learning for Virtual Screening. 17041-17049 - Tianyi Han, Jingya Li, Zhipeng Guo, Yuan Jin:
Scalable Acceleration for Classification-Based Derivative-Free Optimization. 17050-17058 - Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan:
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification. 17059-17067 - Pingting Hao, Kunpeng Liu, Wanfu Gao:
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection. 17068-17076 - Zhihao Hao, Bob Zhang, Haisheng Li:
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework. 17077-17084 - Jialuo He, Wei Chen, Xiaojin Zhang:
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning. 17085-17093 - Junlin He, Tong Nie, Wei Ma:
Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning. 17094-17104 - Qian He, Wenqi Liang, Chunhui Hao, Gan Sun, Jiandong Tian:
GLAM: Global-Local Variation Awareness in Mamba-based World Model. 17105-17113 - Qiuyan He, Minghua Deng:
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation. 17114-17122 - Wanggui He, Siming Fu, Mushui Liu, Xierui Wang, Wenyi Xiao, Fangxun Shu, Yi Wang, Lei Zhang, Zhelun Yu, Haoyuan Li, Ziwei Huang, Leilei Gan, Hao Jiang:
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis. 17123-17131 - Weinan He, Zilei Wang, Yixin Zhang:
Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation. 17132-17140 - Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou, Yingcai Wu, Jinbao Li, Shouling Ji:
CAMH: Advancing Model Hijacking Attack in Machine Learning. 17141-17149 - Xinyu He, Xinhui Li, Xiaojie Guo:
Differential Alignment for Domain Adaptive Object Detection. 17150-17158 - Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan:
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies. 17159-17167 - Marzi Heidari, Yuhong Guo:
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling. 17168-17176 - Asela Hevapathige, Qing Wang, Ahad N. Zehmakan:
DeepSN: A Sheaf Neural Framework for Influence Maximization. 17177-17185 - Nong Minh Hieu, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku:
Generalization Analysis for Deep Contrastive Representation Learning. 17186-17194 - Yuya Hikima, Akiko Takeda:
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions. 17195-17203 - Van Thuy Hoang, O-Joun Lee:
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck. 17204-17213 - Niklas Höpner, Ilaria Tiddi, Herke van Hoof:
Data Augmentation for Instruction Following Policies via Trajectory Segmentation. 17214-17222 - Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek:
KernelMatmul: Scaling Gaussian Processes to Large Time Series. 17223-17230 - Cheng-Yao Hong, Tyng-Luh Liu:
Multimodal Promptable Token Merging for Diffusion Models. 17231-17239 - Di Hong, Yueming Wang:
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation. 17240-17248 - Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Henry Hoffmann:
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation. 17249-17257 - Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu:
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection. 17258-17266 - Bo Hu, Kai Zhang, Yanghai Zhang, Yuyang Ye:
Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition. 17267-17275 - Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu:
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding. 17276-17286 - Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei:
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing. 17287-17294 - Shengxiang Hu, Guobing Zou, Song Yang, Shiyi Lin, Yanglan Gan, Bofeng Zhang, Yixin Chen:
Large Language Model Meets Graph Neural Network in Knowledge Distillation. 17295-17304 - Shizhe Hu, Binyan Tian, Weibo Liu, Yangdong Ye:
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined. 17305-17313 - Shizhe Hu, Jiahao Fan, Guoliang Zou, Yangdong Ye:
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering. 17314-17322 - Sizhe Hu, Wenming Wu, Yuntao Wang, Benzhu Xu, Liping Zheng:
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation. 17323-17332 - Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou:
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection. 17333-17341 - Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu:
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology. 17342-17350 - Xiaoyu Hu, Zhenhua Lin:
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift. 17351-17358 - Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai:
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. 17359-17367 - Yang Hua, Tianyang Xu, Xiaoning Song, Zhenhua Feng, Rui Wang, Wenjie Zhang, Xiaojun Wu:
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration. 17368-17376 - Baichuan Huang, Amir Aminifar:
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning. 17377-17385 - Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen:
Multi-view Evidential Learning-based Medical Image Segmentation. 17386-17394 - Chengxiang Huang, Bingyan Liu:
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning. 17395-17403 - Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang:
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models. 17404-17412 - Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun, Zhongjiang He:
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification. 17413-17421 - Huiqun Huang, Sihong He, Fei Miao:
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction. 17422-17430 - Jintao Huang, Yiu-ming Cheung, Chi-Man Vong, Wenbin Qian:
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning. 17431-17439 - Shiluo Huang, Yining Jin, Wei Jin, Ying Mu:
Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling. 17440-17448 - Sida Huang, Hongyuan Zhang, Xuelong Li:
Enhance Vision-Language Alignment with Noise. 17449-17457 - Wei Huang, Lei Zhang, Zizhou Wang, Yan Wang:
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation. 17458-17466 - Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu:
Structural Entropy Guided Probabilistic Coding. 17467-17475 - Xiaoyu Huang, Weidong Chen, Bo Hu, Zhendong Mao:
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection. 17476-17484 - Xin Huang, Shilong Wang, Tong Jia, Zhihang Gou, Jingjing Li:
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval. 17485-17493 - Xinhao Huang, You-Liang Huang, Zeyi Wen:
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression. 17494-17502 - Yanyong Huang, Minghui Lu, Wei Huang, Xiuwen Yi, Tianrui Li:
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation. 17503-17510 - Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang:
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling. 17511-17518
Technical Tracks 17
- Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian:
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. 17520-17527 - Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li:
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks. 17528-17536 - Yoontae Hwang, Yongjae Lee:
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset. 17537-17545 - Sarith Imaduwage:
SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration. 17546-17554 - Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki:
Approximate State Abstraction for Markov Games. 17555-17563 - Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern:
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios. 17564-17572 - Alexander Ivanov, Akhil Bagaria, George Konidaris:
Discovering Options That Minimize Average Planning Time. 17573-17581 - Jaeseok Jang, Hyuk-Yoon Kwon:
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection. 17582-17589 - Yujin Jeong, Yunji Kim, Sanghyuk Chun, Jiyoung Lee:
Read, Watch and Scream! Sound Generation from Text and Video. 17590-17598 - Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng:
Association Pattern-enhanced Molecular Representation Learning. 17599-17607 - Xuemei Jia, Jiawei Du, Hui Wei, Ruinian Xue, Zheng Wang, Hongyuan Zhu, Jun Chen:
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization. 17608-17616 - Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng:
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. 17617-17625 - Nan Jiang, Md. Nasim, Yexiang Xue:
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. 17626-17634 - Runqing Jiang, Ye Zhang, Longguang Wang, Pengpeng Yu, Yulan Guo:
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers. 17635-17643 - Xuanming Jiang, Baoyi An, Guoshuai Zhao, Xueming Qian:
M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge. 17644-17652 - Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad Chaddad:
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models. 17653-17661 - Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu:
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning. 17662-17670 - Xianqi Jiao, Jia Liu, Zhiping Chen:
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms. 17671-17679 - Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang:
Backdoor Attack on Propagation-based Rumor Detectors. 17680-17688 - Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai, Lin Zhang, Zhenyu Ming, Cheng Li:
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference. 17689-17698 - Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth, Janis Keck, Jürgen Jost:
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations. 17699-17706 - Paul Kahlmeyer, Markus Fischer, Joachim Giesen:
Dimension Reduction for Symbolic Regression. 17707-17714 - Paul Kahlmeyer, Niklas Merk, Joachim Giesen:
Discovering Symmetries of ODEs by Symbolic Regression. 17715-17723 - Serafina Kamp, Benjamin Fish:
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents. 17724-17732 - Hyunju Kang, Geonhee Han, Yoonjae Jeong, Hogun Park:
AudioGenX: Explainability on Text-to-Audio Generative Models. 17733-17741 - Junhyeok Kang, Yooju Shin, Jae-Gil Lee:
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. 17742-17749 - Qiyu Kang, Xuhao Li, Kai Zhao, Wenjun Cui, Yanan Zhao, Weihua Deng, Wee Peng Tay:
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation. 17750-17759 - Suhyun Kang, Jungwon Park, Wonseok Lee, Wonjong Rhee:
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning. 17760-17769 - Xiao Kang, Xingbo Liu, Xuening Zhang, Wen Xue, Xiushan Nie, Yilong Yin:
Semi-Supervised Online Cross-Modal Hashing. 17770-17778 - Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan:
A Unified Framework for Human-Allied Learning of Probabilistic Circuits. 17779-17787 - Nikolai Karpov, Chen Wang:
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap. 17788-17796 - Akash Karthikeyan, Yash Vardhan Pant:
GenPlan: Generative Sequence Models as Adaptive Planners. 17797-17804 - Christodoulos Kechris, Jonathan Dan, José Miranda, David Atienza:
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs. 17805-17813 - Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair:
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs. 17814-17821 - Subhendu Khatuya, Ritvik Vij, Paramita Koley, Samik Datta, Niloy Ganguly:
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP. 17822-17830 - Minh Khoa Le, Kien Do, Truyen Tran:
Learning Structural Causal Models from Ordering: Identifiable Flow Models. 17831-17839 - Bum Jun Kim, Sang Woo Kim:
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers. 17840-17849 - Dongyeon Kim, Yejin Kan, Gangman Yi:
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation. 17850-17858 - Hyeonjin Kim, Jaejun Yoo:
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement. 17859-17867 - HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon:
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. 17868-17876 - Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang:
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning. 17877-17885 - Jungkyu Kim, Kibok Lee, Taeyoung Park:
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation. 17886-17894 - Junsu Kim, Suhyun Kim:
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning. 17895-17903 - Kwang In Kim:
Diffusion-Based Active Learning for Distributed Client Manifolds. 17904-17912 - Minyoung Kim, Timothy M. Hospedales:
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. 17913-17920 - Sehyung Kim, Chanhyeong Yang, Jihwan Park, Taehoon Song, Hyunwoo J. Kim:
Super-Class Guided Transformer for Zero-Shot Attribute Classification. 17921-17929 - Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy:
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. 17930-17937 - Jun Kong, Xinge Ma, Jin Wang, Xuejie Zhang:
Sample-aware Adaptive Structured Pruning for Large Language Models. 17938-17946 - Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets:
Certification of Speaker Recognition Models to Additive Perturbations. 17947-17956 - Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar, Ying Lin:
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning. 17957-17965 - Anand Krishna, Philips George John, Adarsh Barik, Vincent Y. F. Tan:
p-Mean Regret for Stochastic Bandits. 17966-17973 - Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi:
Selective Uncertainty Propagation in Offline RL. 17974-17982 - Liam Anthony Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer:
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows. 17983-17989 - Lorenz Kummer, Samir Moustafa, Wilfried N. Gansterer, Nils Morten Kriege:
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. 17990-17998 - Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li:
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning. 17999-18007 - Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng:
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. 18008-18016 - Yuanhao Lai, Pengfei Zheng, Chenpeng Ji, Cheng Qiu, Tingkai Wang, Songhan Zhang, Zhengang Wang, Yunfei Du:
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization. 18017-18025 - Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li:
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem. 18026-18034 - Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou:
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning. 18035-18043 - Antoine Ledent, Peng Liu:
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach. 18044-18052 - Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn:
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP. 18053-18061 - Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni:
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. 18062-18070 - Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang:
Truncated Gaussian Policy for Debiased Continuous Control. 18071-18081 - Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen:
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. 18082-18090 - Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi:
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy. 18091-18100 - Giwoong Lee, Jiseung Ahn, Jeongyeol Choe:
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation. 18101-18109 - Jeong Woon Lee, Hyoseok Hwang:
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning. 18110-18118 - Jin-Seop Lee, Noo-Ri Kim, Jee-Hyong Lee:
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization. 18119-18127 - Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin:
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation. 18128-18136 - Junyong Lee, Jeihee Cho, Shiho Kim:
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms. 18137-18144 - Seungcheol Lee, Moohong Min:
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing. 18145-18153 - Wonjun Lee, Bumsub Ham, Suhyun Kim:
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling. 18154-18162 - Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park:
Learning Strategy Representation for Imitation Learning in Multi-Agent Games. 18163-18171 - Xing Lei, Xuetao Zhang, Donglin Wang:
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning. 18172-18180 - Yutian Lei, Luping Ji, Pei Liu:
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection. 18181-18188 - Julian Lemmel, Radu Grosu:
Real-Time Recurrent Reinforcement Learning. 18189-18197 - Olivier Létoffé, Xuanxiang Huang, João Marques-Silva:
Towards Trustable SHAP Scores. 18198-18208 - Cheuk Hang Leung, Yiyan Huang, Yijun Li, Qi Wu:
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data. 18209-18217 - Bozheng Li, Mushui Liu, Gaoang Wang, Yunlong Yu:
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition. 18218-18226 - Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen:
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition. 18227-18235 - Chenglin Li, Guangchun Ruan, Hua Geng:
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning. 18236-18243 - Daoyuan Li, Zuyuan Yang, Shengli Xie:
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning. 18244-18252 - Dexun Li, Wenjun Li, Pradeep Varakantham:
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design. 18253-18261 - Deyin Li, Xiang Ling, Changjiang Li, Xiang Chen, Chunming Wu:
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models. 18262-18270 - Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du:
k-HyperEdge Medoids for Clustering Ensemble. 18271-18278 - Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong:
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors. 18279-18286 - Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu:
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. 18287-18295 - Hebei Li, Yansong Peng, Jiahui Yuan, Peixi Wu, Jin Wang, Yueyi Zhang, Xiaoyan Sun:
Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach. 18296-18304 - Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou:
Learning Causal Transition Matrix for Instance-dependent Label Noise. 18305-18313 - Jianfeng Li, Jiawen Zhang, Feng Wang, Lianbo Ma:
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning. 18314-18322 - Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao:
Modeling All Response Surfaces in One for Conditional Search Spaces. 18323-18332 - Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang, Yu Zhang, Xin Lai, Jiayin Wang:
Multi-Label Ranking Loss Minimization for Matrix Completion. 18333-18340 - Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Destroy and Repair Using Hyper-Graphs for Routing. 18341-18349 - Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang:
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing. 18350-18358 - Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang:
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning. 18359-18367 - Mengxian Li, Qi Wang, Yongjun Xu:
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic. 18368-18376 - Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai, Xiaosheng Zhuang, Pietro Liò:
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline. 18377-18384 - Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Liò:
Deep Hypergraph Neural Networks with Tight Framelets. 18385-18392 - Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak:
On the Power of Convolution-Augmented Transformer. 18393-18402 - Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang:
Detecting and Corrupting Convolution-based Unlearnable Examples. 18403-18411 - Nianxin Li, Mao Ye, Lihua Zhou, Song Tang, Yan Gan, Zizhuo Liang, Xiatian Zhu:
Self-Prompting Analogical Reasoning for UAV Object Detection. 18412-18420 - Qiwei Li, Jiahuan Zhou:
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning. 18421-18429 - Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li:
Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. 18430-18438 - Ruipu Li, Alexander Rodríguez:
Neural Conformal Control for Time Series Forecasting. 18439-18447 - Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin:
Dynamic Clustering Convolutional Neural Network. 18448-18456 - Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou, Hongguang Yang, Kai Lu:
Adaptive Dual Guidance Knowledge Distillation. 18457-18465 - Victor O. K. Li, Yang Han, Jacqueline C. K. Lam:
Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach. 18466-18475 - Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun:
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis. 18476-18484 - Wenrui Li, Wei Han, Yandu Chen, Yeyu Chai, Yidan Lu, Xingtao Wang, Xiaopeng Fan:
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval. 18485-18493 - Xiang Li, Qiaomin Xie:
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent. 18494-18501 - Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang:
B2Opt: Learning to Optimize Black-box Optimization with Little Budget. 18502-18510 - Xin Li, Chengli Zhao, Xue Zhang, Xiaojun Duan:
Symbolic Neural Ordinary Differential Equations. 18511-18519 - Yang Li, Han Meng, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen:
Population Aware Diffusion for Time Series Generation. 18520-18529 - Yanxi Li, Chengbin Du:
Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction. 18530-18538 - Yanyi Li, Xi Zhang, Yisi Luo, Deyu Meng:
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery. 18539-18547 - Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng:
Community-Centric Graph Unlearning. 18548-18556 - Yi Li, Yang Sun, Plamen P. Angelov:
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement. 18557-18565 - Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu:
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval. 18566-18574 - Yujun Li, Hongyuan Zhang, Yuan Yuan:
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model. 18575-18583 - Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun:
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning. 18584-18592 - Zhiqiang Li, Haiyong Bao, Menghong Guan, Hao Pan, Cheng Huang, Hong-Ning Dai:
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning. 18593-18601 - Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang:
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. 18602-18610 - Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen:
AgentMixer: Multi-Agent Correlated Policy Factorization. 18611-18619 - Zhuoming Li, Yuheng Jia, Mi Yu, Zicong Miao:
Calibrated Disambiguation for Partial Multi-label Learning. 18620-18628 - Zikuan Li, Qiaoyun Wu, Jialin Zhang, Kaijun Zhang, Jun Wang:
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising. 18629-18637 - Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang:
Unsupervised Region-Based Image Editing of Denoising Diffusion Models. 18638-18646
Technical Tracks 18
- Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai, Yi He:
Metric-Agnostic Continual Learning for Sustainable Group Fairness. 18648-18657 - Haoyuan Liang, Xinyu Zhang, Shilei Cao, Guowen Li, Juepeng Zheng:
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization. 18658-18666 - Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang:
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning. 18667-18675 - Jiye Liang, Yixiao Li, Junbiao Cui:
Label Noise Correction via Fuzzy Learning Machine. 18676-18683 - Tian Liang, Yuetian Du, Jing Huang, Ming Kong, Luyuan Chen, Yadong Li, Siye Chen, Qiang Zhu:
MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models. 18684-18692 - Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. 18693-18701 - Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione:
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. 18702-18710 - Sarah Liaw, Rebecca E. Morrison, Youssef M. Marzouk, Ricardo Baptista:
Learning Local Neighborhoods of Non-Gaussian Graphical Models. 18711-18718 - Jinwoo Lim, Suhyun Kim, Soo-Mook Moon:
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis. 18719-18727 - Xiaofeng Lin, Xuezhou Zhang:
Efficient Reinforcement Learning in Probabilistic Reward Machines. 18728-18736 - Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu:
Local Causal Discovery Without Causal Sufficiency. 18737-18745 - Ao Liu, Wenshan Li, Tao Li, Beibei Li, Guangquan Xu, Pan Zhou, Wengang Ma, Hanyuan Huang:
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience. 18746-18753 - Ao Liu, Wenshan Li, Beibei Li, Wengang Ma, Tao Li, Pan Zhou:
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks. 18754-18762 - Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie, Shanghang Zhang:
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs. 18763-18771 - Chengchang Liu, Luo Luo, John C. S. Lui:
An Enhanced Levenberg-Marquardt Method via Gram Reduction. 18772-18779 - Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao:
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment. 18780-18788 - Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian:
Pareto Set Learning for Multi-Objective Reinforcement Learning. 18789-18797 - Fangbing Liu, Qing Wang:
Asymmetric Learning for Spectral Graph Neural Networks. 18798-18806 - Han Liu, Jiaqing Zhan, Qin Zhang:
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks. 18807-18815 - Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min:
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. 18816-18824 - Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv:
LiD-FL: Towards List-Decodable Federated Learning. 18825-18833 - Hui Liu, Shikai Jin:
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses. 18834-18842 - Jiawei Liu, Yuanbo Xu, Shanshan Song, Lu Jiang:
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning. 18843-18851 - Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu:
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. 18852-18860 - Jiexi Liu, Meng Cao, Songcan Chen:
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. 18861-18869 - Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng:
Federated Graph-Level Clustering Network. 18870-18878 - Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang:
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. 18879-18887 - Junhao Liu, Xin Zhang:
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques. 18888-18896 - Kuanghong Liu, Jin Wang, Kangjian He, Dan Xu, Xuejie Zhang:
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation. 18897-18905 - Mushui Liu, Fangtai Wu, Bozheng Li, Ziqian Lu, Yunlong Yu, Xi Li:
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning. 18906-18914 - Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia:
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. 18915-18923 - Pengwei Liu, Pengkai Wang, Xingyu Ren, Hangjie Yuan, Zhongkai Hao, Chao Xu, Shengze Cai, Dong Ni:
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries. 18924-18932 - Shengheng Liu, Tianqi Zhang, Ningning Fu, Yongming Huang:
Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning. 18933-18942 - Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li, Xing Sun, Shaohui Lin:
Probability-Density-aware Semi-supervised Learning. 18943-18950 - Shuze Daniel Liu, Claire Chen, Shangtong Zhang:
Efficient Multi-Policy Evaluation for Reinforcement Learning. 18951-18959 - Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang:
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily. 18960-18968 - Wei Liu, Yufei Chen, Xiaodong Yue:
Enhancing Multi-View Classification Reliability with Adaptive Rejection. 18969-18977 - Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Long Tran-Thanh:
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback. 18978-18986 - Xinyang Liu, Pengchao Han, Xuan Li, Bo Liu:
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning. 18987-18995 - Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen:
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. 18996-19005 - Yiping Liu, Jiahao Yang, Xuanbai Ren, Xinyi Zhang, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng, Hisao Ishibuchi:
Multi-Objective Molecular Design Through Learning Latent Pareto Set. 19006-19014 - Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan:
A Simple Graph Contrastive Learning Framework for Short Text Classification. 19015-19023 - Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen:
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. 19024-19032 - Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen, Yonghua Zhu, Xiaofeng Zhu:
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation. 19033-19040 - Zehao Liu, Mengzhou Gao, Pengfei Jiao:
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality. 19041-19049 - Zhenxian Liu, Peixi Peng, Yonghong Tian:
Visual Reinforcement Learning with Residual Action. 19050-19058 - Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu:
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. 19059-19067 - Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding:
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. 19068-19076 - Lorenzo Loconte, Stefan Mengel, Antonio Vergari:
Sum of Squares Circuits. 19077-19085 - Tao Long, Lei Zhang, Liang Zhang, Laizhong Cui:
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization. 19086-19094 - Zhen Long, Yipeng Liu, Yazhou Ren, Ce Zhu:
SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering. 19095-19103 - Meng Lou, Yunxiang Fu, Yizhou Yu:
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks. 19104-19114 - Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu, Hao Fu:
FedCross: Intertemporal Federated Learning Under Evolutionary Games. 19115-19123 - Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang:
Early Concept Drift Detection via Prediction Uncertainty. 19124-19132 - Rui Lu, Bihai Zhang, Dan Wang:
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution. 19133-19142 - Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao:
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. 19143-19151 - Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing, Nannan Wang, Yanning Zhang:
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning. 19152-19160 - Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia:
Adaptive-Grained Label Distribution Learning. 19161-19169 - Yuwu Lu, Xue Hu, Waikeung Wong, Haoyu Huang:
Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation. 19170-19179 - Yuwu Lu, Haoyu Huang, Waikeung Wong, Xue Hu:
Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation. 19180-19188 - Zhiguang Lu, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang:
Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification. 19189-19197 - Hanwen Luo, Guoxian Yu, Jun Wang, Yanyu Xu, Yongqing Zheng, Qingzhong Li:
Emergence-Inspired Multi-Granularity Causal Learning. 19198-19206 - Rui Luo, Zhixin Zhou:
Conformalized Interval Arithmetic with Symmetric Calibration. 19207-19215 - Rui Luo, Zhixin Zhou:
Conformal Thresholded Intervals for Efficient Regression. 19216-19223 - Xiaoling Luo, Qihao Xu, Huisi Wu, Chengliang Liu, Zhihui Lai, Linlin Shen:
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading. 19224-19232 - Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. 19233-19241 - Bochen Lyu, He Wang, Zheng Wang, Zhanxing Zhu:
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks. 19242-19250 - Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng:
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. 19251-19259 - Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. 19260-19268 - Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song:
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval. 19269-19277 - Xingyu Lyu, Qianqian Xu, Zhiyong Yang, Shaojie Lyu, Qingming Huang:
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM. 19278-19286 - Hao Ma, Shijie Wang, Zhiqiang Pu, Siyao Zhao, Xiaolin Ai:
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning. 19287-19295 - Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu:
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. 19296-19304 - Ran Ma, Yixiong Zou, Yuhua Li, Ruixuan Li:
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning. 19305-19313 - Xinge Ma, Jin Wang, Xuejie Zhang:
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation. 19314-19322 - Yaohui Ma, Xiaopeng Hong, Shizhou Zhang, Huiyun Li, Zhilin Zhu, Wei Luo, Zhiheng Ma:
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing. 19323-19331 - Zehua Ma, Han Fang, Xi Yang, Kejiang Chen, Weiming Zhang:
RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios. 19332-19339 - Zhiyong Ma, Zhengping Li, Yuanjie Shi, Jian Chen:
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization. 19340-19348 - Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang:
Local Causal Discovery for Structural Evidence of Direct Discrimination. 19349-19357 - Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic:
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness. 19358-19366 - Jaron Maene, Luc De Raedt:
The Gradient of Algebraic Model Counting. 19367-19377 - Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo:
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. 19378-19386 - Anay Majee, Maria Xenochristou, Wei-Peng Chen:
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization. 19387-19395 - Nikita Malik, Rahul Gupta, Sandeep Kumar:
HyperDefender: A Robust Framework for Hyperbolic GNNs. 19396-19404 - Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken:
SPACETIME: Causal Discovery from Non-Stationary Time Series. 19405-19413 - Junxiang Mao, Yong Rui, Min-Ling Zhang:
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning. 19414-19422 - Hugo Math, Rainer Lienhart, Robin Schön:
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach. 19423-19431 - Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde:
Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis. 19432-19439 - Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen:
CohEx: A Generalized Framework for Cohort Explanation. 19440-19448 - Lei Meng, Xiangxian Li, Xiaoshuo Yan, Haokai Ma, Zhuang Qi, Wei Wu, Xiangxu Meng:
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification. 19449-19457 - Zhenhua Meng, Fanshen Meng, Rongheng Lin, Budan Wu:
ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models. 19458-19466 - Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili:
Heterogeneous Multi-Agent Bandits with Parsimonious Hints. 19467-19474 - Shentong Mo:
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation. 19475-19483 - Shentong Mo:
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning. 19484-19492 - Shibing Mo, Kai Wu, Qixuan Gao, Xiangyi Teng, Jing Liu:
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks. 19493-19502 - Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang:
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning. 19503-19511 - Majid Mohammadi, Ilaria Tiddi, Annette ten Teije:
Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection. 19512-19519 - Majid Mohammadi, Ilaria Tiddi, Annette ten Teije:
Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation. 19520-19527 - Saleh Momeni, Sahisnu Mazumder, Bing Liu:
Continual Learning Using a Kernel-Based Method Over Foundation Models. 19528-19536 - Anindya Mondal, Sauradip Nag, Xiatian Zhu, Anjan Dutta:
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors. 19537-19545 - Giorgio Morales, John W. Sheppard:
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. 19546-19553 - Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato:
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. 19554-19562 - Mahsa Mozaffari, Hitesh Sapkota, Qi Yu:
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering. 19563-19571 - Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu:
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification. 19572-19580 - Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz:
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting. 19581-19588 - Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar:
Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. 19589-19597 - Inbar Nachmani, Bar Genossar, Coral Scharf, Roee Shraga, Avigdor Gal:
SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression. 19598-19606 - Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood:
Constrained Generative Modeling with Manually Bridged Diffusion Models. 19607-19615 - Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen:
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning. 19616-19623 - Nobuo Namura, Sho Takemori:
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization. 19624-19632 - Michal Nauman, Marek Cygan:
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning. 19633-19641 - Rashmeet Kaur Nayyar, Siddharth Srivastava:
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning. 19642-19650 - Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan:
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting. 19651-19658 - Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang:
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings. 19659-19667 - Anh T. Nguyen, Lam Tran, Anh Tong, Tuan-Duy H. Nguyen, Toan Tran:
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift. 19668-19676 - Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Long P. Hoang, Dung D. Le:
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks. 19677-19685 - Trang Nguyen, Anh Tran, Nhat Ho:
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning. 19686-19694 - Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis:
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization. 19695-19702 - Ruikang Ni, Da Xiao, Qingye Meng, Xiangyu Li, Shihui Zheng, Hongliang Liang:
Benchmarking and Understanding Compositional Relational Reasoning of LLMs. 19703-19711 - Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang:
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. 19712-19720 - Ziru Niu, Hai Dong, A. Kai Qin:
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update. 19721-19729 - YongKyung Oh, Dong-Young Lim, Sungil Kim:
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis. 19730-19739 - Youngmin Oh, Hyunju Lee, Bumsub Ham:
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions. 19740-19748 - Yuji Okamoto, Ryosuke Kojima:
Learning Deep Dissipative Dynamics. 19749-19757 - Shilong Ou, Zhe Xue, Lixiong Qin, Yawen Li, Meiyu Liang, Junjiang Wu, Xuyun Zhang, Amin Beheshti, Yuankai Qi:
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal. 19758-19766 - Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães, Anders Imenes:
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models. 19767-19775
Technical Tracks 19
- Gözde Özcan, Chengzhi Shi, Stratis Ioannidis:
Learning Set Functions with Implicit Differentiation. 19777-19785 - Hanlin Pan, Kunpeng Liu, Wanfu Gao:
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection. 19786-19794 - Weiran Pan, Wei Wei, Feida Zhu, Yong Deng:
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data. 19795-19803 - Zibin Pan, Zhichao Wang, Chi Li, Kaiyan Zheng, Boqi Wang, Xiaoying Tang, Junhua Zhao:
Federated Unlearning with Gradient Descent and Conflict Mitigation. 19804-19812 - Prashansa Panda, Shalabh Bhatnagar:
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation. 19813-19820 - Jean Park, Kuk Jin Jang, Basam Alasaly, Sriharsha Mopidevi, Andrew Zolensky, Eric Eaton, Insup Lee, Kevin Johnson:
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models. 19821-19829 - Jinhee Park, Jisoo Park, Dagyeong Na, Junseok Kwon:
Deep Disentangled Metric Learning. 19830-19838 - JuneYoung Park, YuMi Lee, Tae-Joon Kim, Jang-Hwan Choi:
Riemannian Geometric-based Meta Learning. 19839-19847 - Kwangryeol Park, Seulki Lee:
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization. 19848-19856 - Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei:
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. 19857-19865 - Haotian Peng, Jiawei Liu, Jinsong Du, Jie Gao, Wei Wang:
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation. 19866-19874 - Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong:
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning. 19875-19883 - Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang:
Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection. 19884-19894 - Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang:
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. 19895-19903 - Constantin Philippenko, Kevin Scaman, Laurent Massoulié:
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting. 19904-19912 - Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo:
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy. 19913-19920 - Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov:
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors. 19921-19930 - Mitchell Plyler, Min Chi:
Iterative Counterfactual Data Augmentation. 19931-19938 - Vasilis Pollatos, Debmalya Mandal, Goran Radanovic:
On Corruption-Robustness in Performative Reinforcement Learning. 19939-19947 - Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad:
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients. 19948-19958 - Henrijs Princis, Cristina David, Alan Mycroft:
Enhancing SQL Query Generation with Neurosymbolic Reasoning. 19959-19968 - Ruitao Pu, Yuan Sun, Yang Qin, Zhenwen Ren, Xiaomin Song, Huiming Zheng, Dezhong Peng:
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels. 19969-19977 - Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bingkun Bao, Charles Ling, Boyu Wang:
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression. 19978-19985 - Zhuang Qi, Lei Meng, Zhaochuan Li, Han Hu, Xiangxu Meng:
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data. 19986-19994 - Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock:
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. 19995-20003 - Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei:
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. 20004-20013 - Dong Qiao, Xinxian Ma, Jicong Fan:
Federated t-SNE and UMAP for Distributed Data Visualization. 20014-20023 - Yiran Qiao, Yu Yin, Chen Chen, Jing Ma:
Certified Causal Defense with Generalizable Robustness. 20024-20032 - Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li:
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. 20033-20041 - Yalan Qin, Guorui Feng, Xinpeng Zhang:
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors. 20042-20050 - Yongchun Qin, Pengfei Fang, Hui Xue:
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. 20051-20059 - Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras:
Multimodal Variational Autoencoder: A Barycentric View. 20060-20068 - Ruichen Qiu, Yibo Miao, Shiwen Wang, Yifan Zhu, Lijia Yu, Xiao-Shan Gao:
PowerMLP: An Efficient Version of KAN. 20069-20076 - Tianyu Qiu, Yi Xie, Hao Niu, Yun Xiong, Xiaofeng Gao:
Enhancing Masked Time-Series Modeling via Dropping Patches. 20077-20085 - Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li:
Efficient 3D Recognition with Event-driven Spike Sparse Convolution. 20086-20094 - Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji:
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. 20095-20103 - Md Mahmudur Rahman, Sanjay Purushotham:
Fair Federated Survival Analysis. 20104-20112 - Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury:
Kernel Learning for Sample Constrained Black-Box Optimization. 20113-20120 - Joseph Rance, Filip Svoboda:
Can Private Machine Learning Be Fair? 20121-20129 - Ruice Rao, Dingwei Li, Ming Li:
Slice-and-Pack: Tailoring Deep Models for Customized Requirements. 20130-20138 - Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz:
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage. 20139-20147 - Christopher Ratigan, Lenore Cowen:
The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance. 20148-20156 - Robert Reed, Luca Laurenti, Morteza Lahijanian:
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification. 20157-20164 - Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu:
Improving Generalization for AI-Synthesized Voice Detection. 20165-20173 - Hao Ren, Xiao Lan, Rui Tang, Xingshu Chen:
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System. 20174-20182 - Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang:
Monitoring Primitive Interactions During the Training of DNNs. 20183-20191 - Luis Roque, Vítor Cerqueira, Carlos Soares, Luís Torgo:
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. 20192-20199 - Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro:
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. 20200-20208 - Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Xian Gao, Suncheng Xiang, Ting Liu, Yuzhuo Fu:
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning. 20209-20217 - Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen:
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers. 20218-20227 - Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble:
FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. 20228-20236 - Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Batiste Pequignot, Frédéric Precioso, Christian Gagné:
A Layer Selection Approach to Test Time Adaptation. 20237-20245 - Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah, Diego Romeres:
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization. 20246-20254 - Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek:
A Scalable and Effective Alternative to Graph Transformers. 20255-20263 - Vishwesh Sangarya, Jung-Eun Kim:
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability. 20264-20272 - Sascha Saralajew, Ashish Rana, Thomas Villmann, Ammar Shaker:
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations. 20273-20282 - Naoki Sato, Hideaki Iiduka:
Explicit and Implicit Graduated Optimization in Deep Neural Networks. 20283-20291 - Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi:
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks. 20292-20301 - Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi:
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints. 20302-20309 - Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour:
Delay as Payoff in MAB. 20310-20317 - Simon Schmitt, John Shawe-Taylor, Hado van Hasselt:
General Uncertainty Estimation with Delta Variances. 20318-20328 - Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang:
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy. 20329-20337 - Renat Sergazinov, Richard Chen, Cheng Ji, Jing Wu, Daniel Cociorva, Hakan Brunzell:
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels. 20338-20345 - Zhuoyi Shang, Yanwei Liu, Jinxia Liu, Xiaoyan Gu, Ying Ding, Xiangyang Ji:
Know2Vec: A Black-Box Proxy for Neural Network Retrieval. 20346-20353 - Yuming Shao, Zhixuan Fang:
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification. 20354-20361 - Dravyansh Sharma, Arun Sai Suggala:
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits. 20362-20370 - Hongyu Shen, Zhizhen Zhao:
Boosting Test Performance with Importance Sampling-a Subpopulation Perspective. 20371-20379 - Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng:
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. 20380-20388 - Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye:
Label-Free Backdoor Attacks in Vertical Federated Learning. 20389-20397 - Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence T. Yang, Xi Zhou:
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment. 20398-20408 - Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. 20409-20417 - Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
Numerical Pruning for Efficient Autoregressive Models. 20418-20426 - Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Protecting Model Adaptation from Trojans in the Unlabeled Data. 20427-20435 - Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang, Shuchang Wang, Rui Shu, Zhidong Yu, Wei Yang, Liusheng Huang:
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense. 20436-20444 - Yuta Shikuri:
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood. 20445-20452 - Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi:
Replication-proof Bandit Mechanism Design with Bayesian Agents. 20453-20460 - Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin:
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint. 20461-20469 - Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen:
TinySAM: Pushing the Envelope for Efficient Segment Anything Model. 20470-20478 - Zhenqiu Shu, Teng Sun, Yunwei Luo, Zhengtao Yu:
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering. 20479-20487 - Shreya Shukla, Nakul Sharma, Manish Gupta, Anand Mishra:
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures. 20488-20496 - Abhishek Singh, Gauri Gupta, Yichuan Shi, Alex Dang, Ritvik Kapila, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar:
Co-Dream: Collaborative Dream Synthesis over Decentralized Models. 20497-20505 - Kartik Singhal, Gautam Shroff:
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC). 20506-20513 - Akshit Sinha, Sreeram Vennam, Charu Sharma, Ponnurangam Kumaraguru:
Higher Order Structures for Graph Explanations. 20514-20521 - Minseok Son, Inyong Koo, Jinyoung Park, Changick Kim:
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition. 20522-20530 - Yeongyeong Son, Dasom Noh, Gyoungyoung Heo, Gyoung Jin Park, Sunyoung Kwon:
MORE: Molecule Pretraining with Multi-Level Pretext Task. 20531-20539 - Lei Song, Jiaxing Li, Qinghua Si, Shihan Guan, Youyong Kong:
Exploring Rationale Learning for Continual Graph Learning. 20540-20548 - Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak:
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization. 20549-20557 - Tananun Songdechakraiwut, Yutong Wu:
Functional Connectomes of Neural Networks. 20558-20566 - Fabian Christian Spaeh, Alina Ene, Huy Nguyen:
Online and Streaming Algorithms for Constrained k-Submodular Maximization. 20567-20574 - Padmanaba Srinivasan, William Knottenbelt:
Behaviour Preference Regression for Offline Reinforcement Learning. 20575-20583 - Luca Pascal Staus, Christian Komusiewicz, Frank Sommer, Manuel Sorge:
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees. 20584-20591 - Uri Stern, Tomer Yaacoby, Daphna Weinshall:
On Local Overfitting and Forgetting in Deep Neural Networks. 20592-20600 - Artyom Stitsyuk, Jaesik Choi:
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition. 20601-20609 - Chao Su, Huiming Zheng, Dezhong Peng, Xu Wang:
DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels. 20610-20618 - Huai-An Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan:
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling. 20619-20627 - Junwei Su, Shan Wu:
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks. 20628-20636 - Peng Su, Shudong Huang, Weihong Ma, Deng Xiong, Jiancheng Lv:
Multi-view Granular-ball Contrastive Clustering. 20637-20645 - Xihong Su, Marek Petrik, Julien Grand-Clément:
Risk-averse Total-reward MDPs with ERM and EVaR. 20646-20654 - Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel:
Probabilistic Explanations for Linear Models. 20655-20662 - Bohang Sun, Yongjian Deng, Yuena Lin, Qiuru Hai, Zhen Yang, Gengyu Lyu:
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering. 20663-20671 - Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu:
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities. 20672-20680 - Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu:
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models. 20681-20689 - Chenglu Sun, Shuo Shen, Wenzhi Tao, Deyi Xue, Zixia Zhou:
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning. 20690-20698 - Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye:
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. 20699-20707 - Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin Zheng, Kai Wang:
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness. 20708-20716 - Shuo Sun, Meng Qi, Zuo-Jun Max Shen:
Online MDP with Prototypes Information: A Robust Adaptive Approach. 20717-20724 - Weigao Sun, Yongtuo Liu, Xiaqiang Tang, Xiaoyu Mo:
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters. 20725-20733 - Wenhao Sun, Xue-Mei Dong, Benlei Cui, Jingqun Tang:
Attentive Eraser: Unleashing Diffusion Model's Object Removal Potential via Self-Attention Redirection Guidance. 20734-20742 - Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu:
Hierarchical Classification Auxiliary Network for Time Series Forecasting. 20743-20751 - Yuchang Sun, Xinran Li, Tao Lin, Jun Zhang:
Learn How to Query from Unlabeled Data Streams in Federated Learning. 20752-20760 - Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak:
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data. 20761-20769 - Arisa Tajima, Joie Wu, Amir Houmansadr:
Improving Private Random Forest Prediction Using Matrix Representation. 20770-20777 - Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze, Dan Alistarh:
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence. 20778-20786 - Da Sun Handason Tam, Huanle Xu, Yang Liu, Siyue Xie, Wing Cheong Lau:
FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks. 20787-20795 - Chen Tang, Lan Zhang, Qi Zhao, Xirong Zhuang, Xiang-Yang Li:
Model Lineage Closeness Analysis. 20796-20804 - Jialiang Tang, Shuo Chen, Chen Gong:
Hybrid Data-Free Knowledge Distillation. 20805-20813 - Keke Tang, Ziyong Du, Weilong Peng, Xiaofei Wang, Daizong Liu, Ligang Liu, Zhihong Tian:
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates. 20814-20822 - PeiYuan Tang, Xiaodong Zhang, Chunze Yang, Haoran Yuan, Jun Sun, Danfeng Shan, Zijiang James Yang:
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation. 20823-20831 - Xiaoli Tang, Han Yu:
Reputation-aware Revenue Allocation for Auction-based Federated Learning. 20832-20840 - Linwei Tao, Minjing Dong, Chang Xu:
Feature Clipping for Uncertainty Calibration. 20841-20849 - Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen:
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse. 20850-20858 - Piotr Tempczyk, Lukasz Garncarek, Dominik Filipiak, Adam Kurpisz:
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods. 20859-20866 - Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael:
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach. 20867-20875 - Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi:
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages. 20876-20884 - Changyuan Tian, Zhicong Lu, Zequn Zhang, Heming Yang, Wei Cao, Zhi Guo, Xian Sun, Li Jin:
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting. 20885-20893 - Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang:
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems. 20894-20902
Technical Tracks 20
- Tomás Tokár, Scott Sanner:
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets. 20904-20911 - Suxin Tong, Jingling Yuan:
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows. 20912-20920 - Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham, Ngoc Phu Doan, Anh-Tuan Hoang, Peixin Li, Hans Vandierendonck, Ira Assent, Son T. Mai:
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series. 20921-20928 - Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao:
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. 20929-20937 - Alexander Tyurin:
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes. 20938-20946 - Sharlin Utke, Jeremie Houssineau, Giovanni Montana:
Investigating Relational State Abstraction in Collaborative MARL. 20947-20955 - David Valencia, Henry Williams, Yuning Xing, Trevor Gee, Bruce A. MacDonald, Minas Liarokapis:
CTD4 - a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics. 20956-20963 - Bastien Van Delft, Tommaso Martorella, Alexandre Alahi:
CODE: Confident Ordinary Differential Editing. 20964-20972 - Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith:
Epistemic Bellman Operators. 20973-20981 - Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode, Bruno Lepri, Giovanni Iacca:
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks. 20982-20990 - Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch:
Differentially Private Prototypes for Imbalanced Transfer Learning. 20991-20999 - Przemyslaw Andrzej Walega, Michael Rawson:
Expressive Power of Temporal Message Passing. 21000-21008 - Baozhen Wang, Xingye Qiao:
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates. 21009-21016 - Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu:
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt. 21017-21025 - Benjie Wang, Guy Van den Broeck:
On the Relationship Between Monotone and Squared Probabilistic Circuits. 21026-21034 - Bin Wang, Chunyu Xie, Dawei Leng, Yuhui Yin:
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities. 21035-21043 - Bocheng Wang, Chusheng Zeng, Mulin Chen, Xuelong Li:
Towards Learnable Anchor for Deep Multi-View Clustering. 21044-21052 - Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang:
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning. 21053-21061 - Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan:
Are Expressive Models Truly Necessary for Offline RL? 21062-21070 - Hao Wang, Biqin Song, Hao Deng, Hong Chen:
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery. 21071-21079 - Haoming Wang, Wei Gao:
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness. 21080-21089 - Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo:
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting. 21090-21098 - Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, Zhe Jiang:
Pushing the Limits of BFP on Narrow Precision LLM Inference. 21099-21107 - Hui Wang, Renyu Yang, Jie Sun, Hao Peng, Xudong Mou, Tianyu Wo, Xudong Liu:
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork. 21108-21116 - Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye:
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning. 21117-21125 - Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang:
Dynamic Uncertainty Estimation for Offline Reinforcement Learning. 21126-21134 - Juncheng Wang, Bingjie Yan, Yituo Liu:
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint. 21135-21143 - Leilei Wang, Si Shi, Fei Ma, Fei Richard Yu, Pengteng Li, Ying Tiffany He:
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification. 21144-21152 - Meng-zhu Wang:
SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation. 21153-21161 - Menglin Wang, Zhun Zhong, Xiaojin Gong:
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery. 21162-21170 - Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu:
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration. 21171-21179 - Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu:
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis. 21180-21188 - Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia:
Pre-Trained Vision-Language Models as Noisy Partial Annotators. 21189-21197 - Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han, Haoyu Luo, Yihong Gong:
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype. 21198-21206 - Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao:
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder. 21207-21215 - Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu:
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes. 21216-21224 - Qitong Wang, Tang Li, Kien X. Nguyen, Xi Peng:
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model's Prediction Rationality. 21225-21233 - Runze Wang, Mingqi Yang, Yanming Shen:
Bridging Molecular Graphs and Large Language Models. 21234-21242 - Shanfeng Wang, Jianzhao Li, Zaitian Liu, Yourun Zhang, Maoguo Gong:
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement. 21243-21251 - Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese:
Text2Data: Low-Resource Data Generation with Textual Control. 21252-21260 - Ting Wang, Zhixin Zhou, Rui Luo:
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training. 21261-21268 - Xianda Wang, Yaqi Qiao, Duo Wu, Chenrui Wu, Fangxin Wang:
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning. 21269-21277 - Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao:
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems. 21278-21286 - Xiaoli Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu:
Global-Semantic Alignment Distillation for Partial Multi-view Classification. 21287-21295 - Xiaoyu Wang, Guojun Xiong, Houwei Cao, Jian Li, Yong Liu:
Decentralized Federated Learning with Model Caching on Mobile Agents. 21296-21303 - Xin Wang, Feilong Wang, Xuegang (Jeff) Ban:
Set-Valued Sensitivity Analysis of Deep Neural Networks. 21304-21311 - Xinxin Wang, Yongshan Zhang, Yicong Zhou:
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering. 21312-21320 - Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley:
Quantum Best Arm Identification with Quantum Oracles. 21321-21329 - Xucong Wang, Pengkun Wang, Shurui Zhang, Miao Fang, Yang Wang:
Multi-label Self Knowledge Distillation. 21330-21338 - Yibo Wang, Yuanyu Wan, Lijun Zhang:
Revisiting Projection-Free Online Learning with Time-Varying Constraints. 21339-21347 - Yifeng Wang, Yi Zhao:
HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers. 21348-21356 - Yingfan Wang, Yiyang Sun, Haiyang Huang, Cynthia Rudin:
Dimension Reduction with Locally Adjusted Graphs. 21357-21365 - Yizhi Wang, Weijia Zhang, Min-Ling Zhang:
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization. 21366-21374 - Yulong Wang, Yushuo Liu, Xiaoyi Duan, Kai Wang:
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting. 21375-21383 - Yunbo Wang, YuJie Wu, Zhien Dai, Can Tian, Jun Long, Jianhai Chen:
Noisy Correspondence Rectification via Asymmetric Similarity Learning. 21384-21392 - Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang:
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks. 21393-21401 - Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Graph Neural Networks Is Robust to Model Mismatch. 21402-21410 - Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng:
Enhanced Denesity Peak Clustering for High-Dimensional Data. 21411-21419 - Zhongwen Wang, Xingfeng Li, Yinghui Sun, Quansen Sun, Yuan Sun, Han Ling, Jian Dai, Zhenwen Ren:
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering. 21420-21428 - Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang, Yuanchao Shu, Peng Cheng, Jiming Chen:
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens. 21429-21437 - Ziquan Wang, Mingxuan Xia, Xiangyu Ren, Jiaqing Zhou, Gengyu Lyu, Tianlei Hu, Haobo Wang:
Multi-Instance Multi-Label Classification from Crowdsourced Labels. 21438-21446 - Zixiao Wang, Junwu Weng, Mengyuan Liu, Bei Yu:
FlexPose: Pose Distribution Adaptation with Limited Guidance. 21447-21455 - Hao Wei, Yongjian Deng, Qiuru Hai, Yuena Lin, Zhen Yang, Gengyu Lyu:
Multi-View Multi-Label Classification via View-Label Matching Selection. 21456-21464 - Kun Wei, Zhe Xu, Cheng Deng:
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning. 21465-21473 - Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An:
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. 21474-21481 - Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song:
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. 21482-21490 - Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu:
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. 21491-21500 - Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik:
Measuring Cross-Modal Interactions in Multimodal Models. 21501-21509 - Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane:
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference. 21510-21518 - Di Wu, Qilong Feng, Junyu Huang, Jinhui Xu, Ziyun Huang, Jianxin Wang:
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers. 21519-21527 - Haixiang Wu:
Revisiting Attention for Multivariate Time Series Forecasting. 21528-21535 - Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning. 21536-21544 - Liang Wu, Ruixi Hu, Yunwen Lei:
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning. 21545-21553 - Nannan Wu, Yazheng Zhao, Hongdou Dong, Keao Xi, Wei Yu, Wenjun Wang:
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs. 21554-21562 - Peixi Wu, Bosong Chai, Hebei Li, Menghua Zheng, Yansong Peng, Zeyu Wang, Xuan Nie, Yueyi Zhang, Xiaoyan Sun:
Spiking Point Transformer for Point Cloud Classification. 21563-21571 - Siyuan Wu, Yongzhe Jia, Bowen Liu, Haolong Xiang, Xiaolong Xu, Wanchun Dou:
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers. 21572-21580 - Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng:
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. 21581-21589 - Tongle Wu, Ying Sun, Jicong Fan:
Non-Convex Tensor Recovery from Local Measurements. 21590-21598 - Yuhan Wu, Xiyu Meng, Huajin Hu, Junru Zhang, Yabo Dong, Dongming Lu:
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting. 21599-21607 - Zhixiao Wu, Yao Lu, Jie Wen, Guangming Lu:
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction. 21608-21616 - Chengwei Xia, Chaoxi Niu, Kun Zhan:
Hierarchical Consensus Network for Multiview Feature Learning. 21617-21625 - Hui Xia, Xiangwei Zhao, Rui Zhang, Shuo Xu, Luming Wang:
Clean-Label Graph Backdoor Attack in the Node Classification Task. 21626-21634 - Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann:
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications. 21635-21643 - Baoren Xiao, Hao Ni, Weixin Yang:
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss. 21644-21652 - Tingxiong Xiao, Yuxiao Cheng, Jinli Suo:
FIND: A Framework for Discovering Formulas in Data. 21653-21660 - Wei Xiao, Hongbin Wang, Ming He, Nianbin Wang:
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework. 21661-21669 - Liangqi Xie, Jicong Fan:
Multi-Subspace Matrix Recovery from Permuted Data. 21670-21678 - Linhuang Xie, Shihao Gao, Jie Liu, Ming Yin, Taisong Jin:
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach. 21679-21687 - Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang, Wenyu Chen:
One Node One Model: Featuring the Missing-Half for Graph Clustering. 21688-21696 - Weiwei Xing, Yue Cheng, Hongzhu Yi, Xiaohui Gao, Xiang Wei, Xiaoyu Guo, Yumin Zhang, Xinyu Pang:
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing. 21697-21706 - Xinda Xing, Qiugang Zhan, Xiurui Xie, Yuning Yang, Qiang Wang, Guisong Liu:
Flexible Sharpness-Aware Personalized Federated Learning. 21707-21715 - Baochen Xiong, Xiaoshan Yang, Yaguang Song, Yaowei Wang, Changsheng Xu:
Pilot: Building the Federated Multimodal Instruction Tuning Framework. 21716-21724 - Xiong Zhang, Cheng Xie, Haoran Duan, Beibei Yu:
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning. 21725-21733 - Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li:
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction. 21734-21742 - Haonan Xu, Yang Yang:
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection. 21743-21751 - Haoran Xu, Jiaze Li, Wanyi Wu, Hao Ren:
Federated Learning with Sample-level Client Drift Mitigation. 21752-21760 - Jinda Xu, Yuhao Song, Daming Wang, Weiwei Zhao, Minghua Chen, Kangliang Chen, Qinya Li:
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation. 21761-21769 - Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang:
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. 21770-21778 - Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, Boyu Wang:
Textualize Visual Prompt for Image Editing via Diffusion Bridge. 21779-21787 - Qinfu Xu, Yiwei Wei, Chunlei Wu, Leiquan Wang, Shaozu Yuan, Jie Wu, Jing Lu, Hengyang Zhou:
Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints. 21788-21796 - Shilin Xu, Yuan Sun, Xingfeng Li, Siyuan Duan, Zhenwen Ren, Zheng Liu, Dezhong Peng:
Noisy Label Calibration for Multi-View Classification. 21797-21805 - Shuntuo Xu, Zhou Yu:
Neural Networks Perform Sufficient Dimension Reduction. 21806-21814 - Xiaoran Xu, Jiangang Yang, Wenhui Shi, Siyuan Ding, Luqing Luo, Jian Liu:
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection. 21815-21823 - Yanchen Xu, Siqi Huang, Hongyuan Zhang, Xuelong Li:
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? 21824-21832 - Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Ruiyi Su, Jian Zhang, Shubo Liu, Steve Drew:
Revisiting Interpolation for Noisy Label Correction. 21833-21841 - Zhichang Xu, Zhiguo Long, Hua Meng:
Clustering by Mining Density Distributions and Splitting Manifold Structure. 21842-21849 - Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang:
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. 21850-21858 - Shan Xue, Ye Du, Liang Xu:
Adaptive Market Making with Inventory Constraints via Online Learning. 21859-21867 - Xingyu Xue, Jingjing Xue, Quanxue Gao, Qianqian Wang:
Tensorized Label Learning Based Fast Fuzzy Clustering. 21868-21876 - Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme:
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows. 21877-21885 - Shin'ya Yamaguchi, Kosuke Nishida:
Explanation Bottleneck Models. 21886-21894 - Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin:
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting. 21895-21903 - Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu:
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. 21904-21912 - Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng:
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. 21913-21921 - Hanzhe Yang, Youlong Wu, Dingzhu Wen, Yong Zhou, Yuanming Shi:
Structured IB: Improving Information Bottleneck with Structured Feature Learning. 21922-21928 - Heng Yang, Renzhi Chen, Ke Li:
Bridging Sequence-Structure Alignment in RNA Foundation Models. 21929-21937 - Honglin Yang, Ji Ma, Xiao Yu:
Memory-Reduced Meta-Learning with Guaranteed Convergence. 21938-21946 - Huanhuan Yang, Dianxi Shi, Songchang Jin, Guojun Xie, Yang Chen, Chunping Qiu, Shaowu Yang:
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios. 21947-21955 - Jiarong Yang, Yuan Liu:
GAS: Generative Activation-Aided Asynchronous Split Federated Learning. 21956-21964 - Junhuan Yang, Yuzhou Zhang, Yi Sheng, Youzuo Lin, Lei Yang:
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset. 21965-21973 - Kaicheng Yang, Tiancheng Gu, Xiang An, Haiqiang Jiang, Xiangzi Dai, Ziyong Feng, Tom Weidong Cai, Jiankang Deng:
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination. 21974-21982 - Liang Yang, Zhenna Li, Jiaming Zhuo, Jing Liu, Ziyi Ma, Chuan Wang, Zhen Wang, Xiaochun Cao:
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology. 21983-21991 - Sifan Yang, Yuanyu Wan, Lijun Zhang:
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting. 21992-22000 - Xiao Yang, Xuejiao Zhao, Zhiqi Shen:
A Generalizable Anomaly Detection Method in Dynamic Graphs. 22001-22009 - Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong:
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning. 22010-22018
Technical Tracks 21
- Yanfeng Yang, Shuai Li, Yingjie Zhang, Zhuoran Sun, Hai Shu, Ziqi Chen, Renming Zhang:
Conditional Diffusion Models Based Conditional Independence Testing. 22020-22028 - Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji:
First-Order Federated Bilevel Learning. 22029-22037 - Yin-Fang Yang, Wei Tang, Min-Ling Zhang:
Fast Multi-Instance Partial-Label Learning. 22038-22046 - Yunhao Yang, Bo Xue, Yunzhi Hao, Ying Li, Yuanyu Wan:
Safe Online Convex Optimization with Heavy-Tailed Observation Noises. 22047-22055 - Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu:
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks. 22056-22064 - Zewen Yang, Xiaobing Dai, Sandra Hirche:
Asynchronous Distributed Gaussian Process Regression. 22065-22073 - Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu:
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. 22074-22082 - Yifeng Yao, Zichen Liu, Zhenyu Cui, Yuxin Peng, Jiahuan Zhou:
Selective Visual Prompting in Vision Mamba. 22083-22091 - Fei Ye, Adrian G. Bors, Kun Zhang:
Continual Unsupervised Generative Modelling via Online Optimal Transport. 22092-22100 - Fei Ye, Adrian G. Bors, Kun Zhang:
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling. 22101-22109 - Fei Ye, Adrian G. Bors:
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy. 22110-22118 - Hangyu Ye, Weiying Xie, Yunsong Li, Leyuan Fang:
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent. 22119-22127 - Weihao Ye, Qiong Wu, Wenhao Lin, Yiyi Zhou:
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models. 22128-22136 - Zhe Ye, Wenjie Zhang, Ying Ren, Xiangui Kang, Diqun Yan, Bin Ma, Shiqi Wang:
Speed Master: Quick or Slow Play to Attack Speaker Recognition. 22137-22145 - Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning. 22146-22154 - Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen:
Reducing Divergence in Batch Normalization for Domain Adaptation. 22155-22163 - Mingze Yin, Hanjing Zhou, Yiheng Zhu, Jialu Wu, Wei Wu, Mingyang Li, Kun Fu, Zheng Wang, Chang-Yu Hsieh, Tingjun Hou, Jian Wu:
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer. 22164-22172 - Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen:
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting. 22173-22181 - Xiaotian Yin, Xin Liu, Si Chen, Yuan Wang, Yuwen Pan, Tianzhu Zhang:
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models. 22182-22190 - Minjong Yoo, Woo Kyung Kim, Honguk Woo:
In-Context Policy Adaptation via Cross-Domain Skill Diffusion. 22191-22199 - Kihyuk Yoon, Chiehyeon Lim:
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs. 22200-22207 - Mu You, Fang Zhang, Shuai Zhang, Linli Xu:
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation. 22208-22217 - Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu:
Treasures in Discarded Weights for LLM Quantization. 22218-22226 - Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu:
FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks. 22227-22235 - Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong:
Modeling Inter-Intra Heterogeneity for Graph Federated Learning. 22236-22244 - Zhidong Yu, Xiaoman Liu, Jiajun Hu, Zhenbo Shi, Wei Yang:
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation. 22245-22253 - Zhiqi Yu, Zhichao Liao, Jingjing Li, Zhi Chen, Lei Zhu:
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation. 22254-22262 - Zhiyuan Yu, Wenzhong Li, Zhangyue Yin, Xiaobin Hong, Shijian Xiao, Sanglu Lu:
Contextual Structure Knowledge Transfer for Graph Neural Networks. 22263-22271 - Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li:
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. 22272-22280 - Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai:
Class Semantic Attribute Perception Guided Zero-Shot Learning. 22281-22289 - Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu:
BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning. 22290-22298 - Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang, Miao Wei, Shu Yang, Fangmin Chen, Xing Mei:
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models. 22299-22307 - Delong Zeng, Ying Shen, Man Lin, Zihao Yi, Jiarui Ouyang:
Zero-Shot Image Captioning with Multi-type Entity Representations. 22308-22316 - Jia Zeng, Lan Huang, Kangping Wang:
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning. 22317-22325 - Xianlin Zeng, Yufeng Wang, Yuqi Sun, Guodong Guo, Wenrui Ding, Baochang Zhang:
Graph Structure Refinement with Energy-based Contrastive Learning. 22326-22335 - Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi:
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction. 22336-22344 - Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Yu Zhou:
Specifying What You Know or Not for Multi-Label Class-Incremental Learning. 22345-22353 - Beibei Zhang, Tongwei Ren, Gangshan Wu:
Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition. 22354-22362 - Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang:
Learning Robust and Privacy-Preserving Representations via Information Theory. 22363-22371 - Chenhao Zhang, Shaofei Shen, Weitong Chen, Miao Xu:
Toward Efficient Data-Free Unlearning. 22372-22379 - Eric Zhang, Didong Li:
Contrastive Functional Principal Component Analysis. 22380-22388 - Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou:
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts. 22389-22397 - Haoran Zhang, Xiangdong Su, Xingxiang Zhou, Guanglai Gao:
SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition. 22398-22406 - Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang:
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. 22407-22415 - Hong Zhang, Ying Liu, Romit Maulik:
Semi-Implicit Neural Ordinary Differential Equations. 22416-22424 - Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang:
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction. 22425-22433 - Jianhua Zhang, Yi Gao, Ruyu Liu, Xu Cheng, Houxiang Zhang, Shengyong Chen:
Can Students Beyond the Teacher? Distilling Knowledge from Teacher's Bias. 22434-22442 - Jiaqing Zhang, Mingxiang Cao, Xue Yang, Kai Jiang, Yunsong Li:
DiffCLIP: Few-shot Language-driven Multimodal Classifier. 22443-22451 - Junwei Zhang, Tianheng Wang, Zeyi Zhang, Pengju Yan, Xiaolin Li:
QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression. 22452-22460 - Junyang Zhang, Mu Yuan, Ruiguang Zhong, Puhan Luo, Huiyou Zhan, Ningkang Zhang, Chengchen Hu, Xiang-Yang Li:
A-VL: Adaptive Attention for Large Vision-Language Models. 22461-22469 - Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng:
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. 22470-22478 - Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu, Bohan Zhuang:
Channel Merging: Preserving Specialization for Merged Experts. 22479-22487 - Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang:
Max-Mahalanobis Anchors Guidance for Multi-View Clustering. 22488-22496 - Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang:
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning. 22497-22505 - Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan:
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs. 22506-22514 - Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang:
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. 22515-22523 - Ruijia Zhang, Mingxi Lei, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang:
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization. 22524-22532 - Shuai Zhang, Yu Fan, Haoyi Zhou, Bo Li:
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection. 22533-22541 - Shuoxi Zhang, Zijian Song, Kun He:
Neural Collapse Inspired Knowledge Distillation. 22542-22550 - Siyuan Zhang, Linbo Xie:
Parametric ρ-Norm Scaling Calibration. 22551-22559 - Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang:
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. 22560-22568 - Tianlong Zhang, Zhe Xue, Adnan Mahmood, Junping Du, Yuchen Dong, Shilong Ou, Lang Feng, Ming-Hsuan Yang, Yuankai Qi:
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval. 22569-22577 - Wenjie Zhang, Jun Yin, Long Ma, Peng Yu, Xiaoheng Jiang, Zhen Tian, Mingliang Xu:
EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation. 22578-22586 - WenZheng Zhang, Yang Hu, Jing Shi, Xiaoying Bai:
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters. 22587-22595 - Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong:
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. 22596-22604 - Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang:
Differentiable Information Enhanced Model-Based Reinforcement Learning. 22605-22613 - Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin:
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning. 22614-22622 - Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu, Jiajun Wu, Shang Xu, Steve Drew, Xiaoguang Niu:
HVAdam: A Full-Dimension Adaptive Optimizer. 22623-22631 - Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou:
Navigating Towards Fairness with Data Selection. 22632-22640 - Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang:
Evolutionary Classifier Chain for Multi-Dimensional Classification. 22641-22649 - Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu:
Incomplete Multi-view Clustering via Diffusion Contrastive Generation. 22650-22658 - Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang:
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant". 22659-22667 - Yuhan Zhang, Guoqing Ma, Guangfu Hao, Liangxuan Guo, Yang Chen, Shan Yu:
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder. 22668-22676 - Yumin Zhang, Haoran Duan, Rui Sun, Yue Cheng, Tejal Shah, Rajiv Ranjan, Bo Wei:
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation. 22677-22685 - Yuming Zhang, Shouxin Zhang, Peizhe Wang, Feiyu Zhu, Dongzhi Guan, Junhao Su, Jiabin Liu, Changpeng Cai:
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network. 22686-22694 - Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung:
Asynchronous Federated Clustering with Unknown Number of Clusters. 22695-22703 - Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng:
Mixture of Experts as Representation Learner for Deep Multi-View Clustering. 22704-22713 - Zepeng Zhang, Olga Fink:
Domain Adaptive Unfolded Graph Neural Networks. 22714-22722 - Zhanwei Zhang, Minghao Chen, Zhihong Gu, Xinkui Zhao, Zheng Yang, Binbin Lin, Deng Cai, Wenxiao Wang:
STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction. 22723-22731 - Zhenkai Zhang, Krista A. Ehinger, Tom Drummond:
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model. 22732-22740 - Zichi Zhang, Tuan Dung Pham, Yimeng An, Ngoc Phu Doan, Majed Alsharari, Viet-Hung Tran, Anh-Tuan Hoang, Hans Vandierendonck, Son T. Mai:
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting. 22741-22749 - Botao Zhao, Xiaoyang Qu, Zuheng Kang, Junqing Peng, Jing Xiao, Jianzong Wang:
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression. 22750-22758 - Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang, Shuai Li:
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions. 22759-22767 - Changyuan Zhao, Hongyang Du, Guangyuan Liu, Dusit Niyato:
Supervised Score-Based Modeling by Gradient Boosting. 22768-22776 - Hanyu Zhao, Zijie Pan, Yajie Wang, Zuobin Ying, Lei Xu, Yu-An Tan:
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning. 22777-22785 - Liang Zhao, Ziyue Wang, Xiao Wang, Zhikui Chen, Bo Xu:
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion. 22786-22794 - Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li:
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. 22795-22803 - Qi Zhao, Christian Wressnegger:
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor. 22804-22812 - Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin, Xiaofan Yu, Tajana Rosing:
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method. 22813-22821 - Weibo Zhao, Yubin Shi, Xinyu Lyu, Wanchen Sui, Shen Li, Yong Li:
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization. 22822-22830 - Xin-yang Zhao, Jian Jin, Yang-yang Li, Yazhou Yao:
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels. 22831-22839 - Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang:
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices. 22840-22848 - Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang:
Attention Bootstrapping for Multi-Modal Test-Time Adaptation. 22849-22857 - Zhe Zhao, Pengkun Wang, Haibin Wen, Shuang Wang, Liheng Yu, Yang Wang:
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis. 22858-22866 - Zhilin Zhao, Longbing Cao, Yuan-Yu Wan:
Mixture of Online and Offline Experts for Non-Stationary Time Series. 22867-22874 - Hao Zheng, Zhigang Hu, Liu Yang, Meiguang Zheng, Aikun Xu, Boyu Wang:
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning. 22875-22883 - Haoran Zheng, Jieming Shi, Renchi Yang:
GraSP: Simple Yet Effective Graph Similarity Predictions. 22884-22892 - Yan Zhong, Zhixin Yan, Yi Xie, Shibin Wu, Huaidong Zhang, Lin Shu, Peiru Zhou:
MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition. 22893-22901 - Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas:
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations. 22902-22909 - Changhai Zhou, Yuhua Zhou, Shiyang Zhang, Yibin Wang, Zekai Liu:
Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving. 22910-22918 - Guangchong Zhou, Zeren Zhang, Guoliang Fan:
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning. 22919-22927 - Guanhao Zhou, Yuefeng Han, Xiufan Yu:
Factor Augmented Tensor-on-Tensor Neural Networks. 22928-22936 - Hanjing Zhou, Mingze Yin, Wei Wu, Mingyang Li, Kun Fu, Jintai Chen, Jian Wu, Zheng Wang:
ProtCLIP: Function-Informed Protein Multi-Modal Learning. 22937-22945 - Junjie Zhou, Ke Zhu, Jianxin Wu:
All You Need in Knowledge Distillation Is a Tailored Coordinate System. 22946-22954 - Lijing Zhou, Bingsheng Zhang, Ziyu Wang, Tianpei Lu, Qingrui Song, Su Zhang, Hongrui Cui, Yu Yu:
On Probabilistic Truncation in Privacy-preserving Machine Learning. 22955-22964 - Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng:
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. 22965-22973 - Qingyang Zhou, Kangjie Lu, Meng Xu:
Causally Consistent Normalizing Flow. 22974-22981 - Qirui Zhou, Yuanbo Wen, Ruizhi Chen, Ke Gao, Weiqiang Xiong, Ling Li, Qi Guo, Yanjun Wu, Yunji Chen:
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models. 22982-22990 - Xiaoling Zhou, Ou Wu, Nan Yang:
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning. 22991-22999 - Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan:
Design Principle Transfer in Neural Architecture Search via Large Language Models. 23000-23008 - Yanbing Zhou, Xiangmou Qu, Chenlong You, Jiyang Zhou, Jingyue Tang, Xin Zheng, Chunmao Cai, Yingbo Wu:
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning. 23009-23017 - Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu:
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. 23018-23026 - Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yu-Feng Li:
Fully Test-time Adaptation for Tabular Data. 23027-23035 - Zhiyang Zhou, Siwei Wei, Xudong Zhang, Wensheng Dou, Muzi Qu, Yan Cai:
Training Deep Neural Networks with Virtual Smoothing Classes. 23036-23044 - Zikun Zhou, Wen Huang, Xingyi Wang, Zhishuo Zhang, Zhun Zhang, Jian Peng, Feihu Huang:
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update. 23045-23053 - Ye Zhu, Xiaowen Gong:
Single-Loop Federated Actor-Critic across Heterogeneous Environments. 23054-23062 - Yiyi Zhu, Huakang Lu, Yupeng Wu, Shuo Liu, Jing-Wen Yang, Hong Qian:
Constrained Offline Black-Box Optimization via Risk Evaluation and Management. 23063-23071 - Junbao Zhuo, Shuhui Wang, Zhenghan Chen, Li Shen, Qingming Huang, Huimin Ma:
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning. 23072-23080 - Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai:
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. 23081-23089 - Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang, Xin Geng:
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks. 23090-23098 - Heda Zuo, Weitao You, Junxian Wu, Shihong Ren, Pei Chen, Mingxu Zhou, Yujia Lu, Lingyun Sun:
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions. 23099-23107 - Ruifan Zuo, Chaoqun Zheng, Lei Zhu, Wenpeng Lu, Yuanyuan Xiang, Zhao Li, Xiaofeng Qu:
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval. 23108-23116 - Adam Zychowski, Andrew Perrault, Jacek Mandziuk:
Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution. 23117-23124
Technical Tracks 22
- Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik:
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. 23126-23134 - Matteo Baldoni, Samuel H. Christie V., Munindar P. Singh, Amit K. Chopra:
Orpheus: Engineering Multiagent Systems via Communicating Agents. 23135-23143 - Guojin Chen, Haoyu Yang, Bei Yu, Haoxing Ren:
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing. 23144-23151 - Rafael Dewes, Rayna Dimitrova:
Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements. 23152-23159 - Rasoul Etesami, R. Srikant:
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach. 23160-23167 - Gregory Everett, Ryan J. Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Spatial Teamwork Under Uncertainty. 23168-23176 - Foivos Fioravantes, Dusan Knop, Jan Matyás Kristan, Nikolaos Melissinos, Michal Opler:
Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures. 23177-23185 - Foivos Fioravantes, Dusan Knop, Jan Matyás Kristan, Nikolaos Melissinos, Michal Opler, Tung Anh Vu:
Solving Multiagent Path Finding on Highly Centralized Networks. 23186-23193 - Yuma Fujimoto, Kaito Ariu, Kenshi Abe:
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium. 23194-23202 - Senkang Hu, Yihang Tao, Guowen Xu, Yiqin Deng, Xianhao Chen, Yuguang Fang, Sam Kwong:
CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception. 23203-23211 - He Jiang, Muhan Lin, Jiaoyang Li:
Speedup Techniques for Switchable Temporal Plan Graph Optimization. 23212-23221 - Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
An Open-Ended Learning Framework for Opponent Modeling. 23222-23230 - Ido Levy, Orr Paradise, Boaz Carmeli, Ron Meir, Shafi Goldwasser, Yonatan Belinkov:
Unsupervised Translation of Emergent Communication. 23231-23239 - Dapeng Li, Na Lou, Zhiwei Xu, Bin Zhang, Guoliang Fan:
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation. 23240-23248 - Tianxu Li, Kun Zhu:
Learning Joint Behaviors with Large Variations. 23249-23257 - Chunyan Mu, Muhammad Najib, Nir Oren:
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems. 23258-23266 - Maayan Orner, Oleg Maksimov, Akiva Kleinerman, Charles Ortiz, Sarit Kraus:
Explaining Decisions of Agents in Mixed-Motive Games. 23267-23275 - Johan Peralez, Aurélien Delage, Jacopo Castellini, Rafael F. Cunha, Jilles Steeve Dibangoye:
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach. 23276-23285 - Thomy Phan, Benran Zhang, Shao-Hung Chan, Sven Koenig:
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic. 23286-23294 - Seungwon Seo, SeongRae Noh, Junhyeok Lee, Soobin Lim, Won Hee Lee, HyeongYeop Kang:
REVECA: Adaptive Planning and Trajectory-Based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity. 23295-23303 - Shoucheng Song, Youfang Lin, Sheng Han, Chang Yao, Hao Wu, Shuo Wang, Kai Lv:
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness. 23304-23312 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm:
A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation. 23313-23322 - Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev:
Windowed MAPF with Completeness Guarantees. 23323-23332 - Xu Wan, Chao Yang, Cheng Yang, Jie Song, Mingyang Sun:
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning. 23333-23342 - Yutong Wang, Tanishq Duhan, Jiaoyang Li, Guillaume Sartoretti:
LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding. 23343-23350 - Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu:
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning. 23351-23359 - Jingtian Yan, Jiaoyang Li:
Multi-Agent Motion Planning for Differential Drive Robots Through Stationary State Search. 23360-23368 - Mingyue Zhang, Nianyu Li, Yi Chen, Jialong Li, Xiaoyi Zhang, Hengjun Zhao, Jiamou Liu, Wu Chen:
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding. 23369-23377 - Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp:
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. 23378-23386 - Yue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, Peter J. Stuckey:
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities. 23387-23394 - Zhuohui Zhang, Bin He, Bin Cheng, Gang Li:
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems. 23395-23403 - Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe:
The Bandit Whisperer: Communication Learning for Restless Bandits. 23404-23413 - Avinash Anand, Kritarth Prasad, Chhavi Kirtani, Ashwin R. Nair, Manvendra Kumar Nema, Raj Jaiswal, Rajiv Ratn Shah:
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English. 23415-23423 - Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai:
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. 23424-23432 - Arian Askari, Christian Pölitz, Xinye Tang:
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL. 23433-23441 - Jiaqi Bai, Hongcheng Guo, Zhongyuan Peng, Jian Yang, Zhoujun Li, Mohan Li, Zhihong Tian:
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow. 23442-23450 - Shengyuan Bai, Qibin Li, Zhe Wang, Nai Zhou, Nianmin Yao:
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning. 23451-23459 - Tian Bai, Yongwang Cao, Yan Ge, Haitao Yu:
MP: Endowing Large Language Models with Lateral Thinking. 23460-23468 - Ashutosh Bajpai, Tanmoy Chakraborty:
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages. 23469-23477 - Keshav Bhandari, Abhinaba Roy, Kyra Wang, Geeta Puri, Simon Colton, Dorien Herremans:
Text2midi: Generating Symbolic Music from Captions. 23478-23486 - Weihong Bi, Feifei Kou, Lei Shi, Yawen Li, Haisheng Li, Jinpeng Chen, Mingying Xu:
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection. 23487-23495 - Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler:
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. 23496-23504 - Yuang Cai, Yuyu Yuan, Jinsheng Shi, Qinhong Lin:
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment. 23505-23513 - Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu:
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models. 23514-23522 - Zouying Cao, Yifei Yang, Hai Zhao:
SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering. 23523-23531 - Paulo R. Cavalin, Pedro Henrique Domingues, Claudio S. Pinhanez:
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation. 23532-23540 - Li Chai, Donglin Wang:
CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls. 23541-23549 - Linzheng Chai, Jian Yang, Tao Sun, Hongcheng Guo, Jiaheng Liu, Bing Wang, Xinnian Liang, Jiaqi Bai, Tongliang Li, Qiyao Peng, Zhoujun Li:
XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning. 23550-23558 - Jiaqi Chen, Xiaoye Zhu, Tianyang Liu, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang:
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection. 23559-23567 - Jiaqi Chen, Bingqian Lin, Xinmin Liu, Lin Ma, Xiaodan Liang, Kwan-Yee K. Wong:
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation. 23568-23576 - Junhao Chen, Bowen Wang, Zhouqiang Jiang, Yuta Nakashima:
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter. 23577-23585 - Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng:
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. 23586-23594 - Lihu Chen, Adam Dejl, Francesca Toni:
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts. 23595-23604 - Minping Chen, You-Liang Huang, Zeyi Wen:
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning. 23605-23613 - Siyuan Chen, Zhuofeng Wang, Zelong Guan, Yudong Liu, Phillip B. Gibbons:
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors. 23614-23622 - Yelin Chen, Fanjin Zhang, Jie Tang:
Small Language Model Makes an Effective Long Text Extractor. 23623-23631 - Yiyi Chen, Russa Biswas, Heather C. Lent, Johannes Bjerva:
Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks. 23632-23641 - Yu-Chuan Chen, Hen-Hsen Huang:
Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent. 23642-23650 - Yujie Chen, Jiangyan Yi, Cunhang Fan, Jianhua Tao, Yong Ren, Siding Zeng, Chu Yuan Zhang, Xinrui Yan, Hao Gu, Jun Xue, Chenglong Wang, Zhao Lv, Xiaohui Zhang:
Region-Based Optimization in Continual Learning for Audio Deepfake Detection. 23651-23659 - Yuyan Chen, Zehao Li, Shuangjie You, Zhengyu Chen, Jingwen Chang, Yi Zhang, Weinan Dai, Qingpei Guo, Yanghua Xiao:
Attributive Reasoning for Hallucination Diagnosis of Large Language Models. 23660-23668 - Wen Cheng, Ke Sun, Xinyu Zhang, Wei Wang:
Security Attacks on LLM-based Code Completion Tools. 23669-23677 - Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin:
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models. 23678-23686 - Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, Tim Nadolsky, Cheng-Yun Yang, Nikita Ravi, James C. Davis, Kristen Yeon-Ji Yun, Yung-Hsiang Lu:
Detecting Music Performance Errors with Transformers. 23687-23695 - Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding:
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. 23696-23703 - Jianwei Cui, Yu Gu, Shihao Chen, Jie Zhang, Liping Chen, Lirong Dai:
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder. 23704-23714 - Shaobo Cui, Junyou Li, Luca Mouchel, Yiyang Feng, Boi Faltings:
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning. 23715-23723 - Xiao Cui, Mo Zhu, Yulei Qin, Liang Xie, Wengang Zhou, Houqiang Li:
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models. 23724-23732 - Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung, Naoya Inoue:
On Effects of Steering Latent Representation for Large Language Model Unlearning. 23733-23742 - Sourish Dasgupta, Harsh Sharma, Devansh Patel, Prarthee Desai, Anil K. Roy:
Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking Systems. 23743-23751 - João Pedro Gandarela de Souza, Danilo Carvalho, André Freitas:
Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis. 23752-23759 - Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng:
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. 23760-23768 - Soham Deshmukh, Shuo Han, Hazim T. Bukhari, Benjamin Elizalde, Hannes Gamper, Rita Singh, Bhiksha Raj:
Audio Entailment: Assessing Deductive Reasoning for Audio Understanding. 23769-23777 - Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu:
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. 23778-23786 - Yifan Ding, Matthew Facciani, Ellen Joyce, Amrit Poudel, Sanmitra Bhattacharya, Balaji Veeramani, Sal Aguiñaga, Tim Weninger:
Citations and Trust in LLM Generated Responses. 23787-23795 - Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen:
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. 23796-23804 - Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. 23805-23813 - Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi:
Multi-Turn Jailbreaking Large Language Models via Attention Shifting. 23814-23822 - Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin:
Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. 23823-23831 - Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai:
Enhancing LLMs via High-Knowledge Data Selection. 23832-23840 - Zhichao Duan, Tengyu Pan, Zhenyu Li, Xiuxing Li, Jianyong Wang:
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction. 23841-23849 - Cunhang Fan, Enrui Liu, Andong Li, Jianhua Tao, Jian Zhou, Jiahao Li, Chengshi Zheng, Zhao Lv:
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement. 23850-23858 - Yuchen Fan, Yuzhong Hong, Qiushi Wang, Junwei Bao, Hongfei Jiang, Yang Song:
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models. 23859-23867 - Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li:
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. 23868-23877 - Yuanheng Fang, Guoqing Chao, Wenqiang Lei, Shaobo Li, Dianhui Chu:
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning. 23878-23886 - Xuan Feng, Tianlong Gu, Xiaoli Liu, Liang Chang:
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction. 23887-23895 - Yifan Feng, Weimin Li, Yue Wang, Jingchao Wang, Fangfang Liu, Zhongming Han:
Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection. 23896-23904 - Jian Gao, Xiao Zhang, Miao Li, Ji Wu:
Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models. 23905-23913 - Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu:
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. 23914-23922 - Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang:
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. 23923-23932 - Xiangxiang Gao, Weisheng Xie, Yiwei Xiang, Feng Ji:
Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree. 23933-23941 - Zipeng Gao, Qingrong Xia, Tong Xu, Xinyu Duan, Zhi Zheng, Zhefeng Wang, Enhong Chen:
Multi-Branch Self-Drafting for LLM Inference Acceleration. 23942-23950 - Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang, Tianshuo Cong, Anyu Wang, Sisi Duan, Xiaoyun Wang:
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts. 23951-23959 - Ashishkumar Prabhakar Gudmalwar, Ishan Darshan Biyani, Nirmesh J. Shah, Pankaj Wasnik, Rajiv Ratn Shah:
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion. 23960-23968 - Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Yang Feng:
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation. 23969-23977 - Wenxiang Guo, Yu Zhang, Changhao Pan, Rongjie Huang, Li Tang, Ruiqi Li, Zhiqing Hong, Yongqi Wang, Zhou Zhao:
TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching. 23978-23986 - Zhixin Han, Mengting Hu, Yinhao Bai, Xunzhi Wang, Bitong Luo:
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis. 23987-23995 - Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao:
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance. 23996-24004 - Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang:
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models. 24005-24013 - Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff:
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation. 24014-24022 - Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao:
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism. 24023-24031 - Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin:
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. 24032-24040 - Xiangheng He, Junjie Chen, Zixing Zhang, Björn W. Schuller:
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis. 24041-24049 - Zhuomin He, Yizhen Yao, Pengfei Zuo, Bin Gao, Qinya Li, Zhenzhe Zheng, Fan Wu:
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. 24050-24058 - Michael Heck, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Shutong Feng, Hsien-Chin Lin, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic:
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling. 24059-24068 - Nghia Hieu Nguyen, Dat Tien Nguyen, Ngan Luu-Thuy Nguyen:
Vietnamese Words Are Not Constructed from Syllables: Rethinking the Role of Word Segmentation in Natural Language Processing for Vietnamese Texts. 24069-24077 - Shifu Hou, Rick Johnson, Ramandeep Makhija, Lingwei Chen, Yanfang Ye:
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks. 24078-24085 - Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. 24086-24094 - Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Shuhang Liu, Jun Du, Jianshu Zhang:
DocMamba: Efficient Document Pre-training with State Space Model. 24095-24103 - Ziyi Hu, Jun Liu, Zhongzhi Liu, Yuzhong Liu, Zheng Xie, Yiping Song:
RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks. 24104-24112 - Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang:
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models. 24113-24121
Technical Tracks 23
- Jia-Hong Huang, Yixian Shen, Hongyi Zhu, Stevan Rudinac, Evangelos Kanoulas:
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training. 24123-24131 - Li Huang, Haowen Liu, Qiang Gao, Jiajing Yu, Guisong Liu, Xueqin Chen:
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning. 24132-24140 - Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao:
Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction. 24141-24149 - Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu:
Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst. 24150-24158 - Shizhou Huang, Bo Xu, Yang Yu, Changqun Li, Xin Alex Lin:
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition. 24159-24166 - Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen:
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. 24167-24175 - Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen:
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning. 24176-24184 - Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin:
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning. 24185-24193 - Sieun Hyeon, Kyudan Jung, Jaehee Won, Nam-Joon Kim, Hyun Gon Ryu, Hyuk-Jae Lee, Jaeyoung Do:
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula. 24194-24202 - Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa, Zhi-Qi Cheng, Ken Fukuda, Teruko Mitamura:
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities. 24203-24211 - Adam Ishay, Joohyung Lee:
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions. 24212-24220 - Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas, Varre Suman Chaitanya, Shwetha Somasundaram:
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document. 24221-24229 - Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng:
Towards Verifiable Text Generation with Generative Agent. 24230-24238 - Shengpeng Ji, Ziyue Jiang, Jialong Zuo, Minghui Fang, Yifu Chen, Tao Jin, Zhou Zhao:
Speech Watermarking with Discrete Intermediate Representations. 24239-24247 - Zhongquan Jian, Yanhao Chen, Jiajian Li, Shaopan Wang, Xiangjian Zeng, Junfeng Yao, Xinying An, Qingqiang Wu:
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction. 24248-24256 - Chunyang Jiang, Chi-Min Chan, Wei Xue, Qifeng Liu, Yike Guo:
Importance Weighting Can Help Large Language Models Self-Improve. 24257-24265 - Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi:
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. 24266-24275 - Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su:
VERSE: Verification-based Self-Play for Code Instructions. 24276-24284 - Peihai Jiang, Xixiang Lyu, Yige Li, Jing Ma:
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models. 24285-24293 - Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi:
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding. 24294-24302 - Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang:
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. 24303-24311 - Yu Kang, Xianghui Sun, Liangyu Chen, Wei Zou:
C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness. 24312-24320 - Yujin Kang, Yoon-Sik Cho:
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition. 24321-24329 - Eungbeom Kim, Kyogu Lee:
Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition. 24330-24338 - Zixiao Kong, Xianquan Wang, Shuanghong Shen, Keyu Zhu, Huibo Xu, Yu Su:
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction. 24339-24347 - Dongdong Kuang, Richong Zhang, Zhijie Nie, Junfan Chen, Jaein Kim:
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding. 24348-24356 - Maksim Kuznetsov, Airat Valiev, Alex Aliper, Daniil Polykovskiy, Elena Tutubalina, Rim Shayakhmetov, Zulfat Miftahutdinov:
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder. 24357-24365 - Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. 24366-24374 - Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. 24375-24383 - Minh Le, Tien Ngoc Luu, An Nguyen The, Thanh-Thien Le, Trang Nguyen, Tung Thanh Nguyen, Linh Ngo Van, Thien Huu Nguyen:
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective. 24384-24392 - Sangmin Lee, Woo-Jin Chung, Hong-Goo Kang:
LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration. 24393-24401 - Matan Levi, Yair Allouche, Daniel Ohayon, Anton Puzanov:
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions. 24402-24412 - Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang:
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. 24413-24421 - Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu:
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models. 24422-24430 - Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Qi Chen, Peng Cheng:
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection. 24431-24439 - Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao:
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA. 24440-24448 - Junchen Li, Qing Yang, Bojian Jiang, Shaolin Zhu, Qingxuan Sun:
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages. 24449-24457 - Linfei Li, Lin Zhang, Zhong Wang, Fengyi Zhang, Zelin Li, Ying Shen:
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework. 24458-24466 - Shichen Li, Zhongqing Wang, Zheyu Zhao, Yue Zhang, Peifeng Li:
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification. 24467-24475 - Xia Li, Wenjing Pan:
KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits. 24476-24484 - Xiang Li, Yunshi Lan, Chao Yang:
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning. 24485-24493 - Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji, Xi Wang, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Weimin Zhang:
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering. 24494-24502 - Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, Lin Yuanbo Wu:
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. 24503-24511 - Yanhua Li, Xiaocao Ouyang, Chaofan Pan, Jie Zhang, Sen Zhao, Shuyin Xia, Xin Yang, Guo-Yin Wang, Tianrui Li:
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary. 24512-24520 - Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian:
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. 24521-24529 - Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Richong Zhang:
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing. 24530-24538 - Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding:
Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal. 24539-24548 - Qi Lian, Yu Qi, Yueming Wang:
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis. 24549-24557 - Xujian Liang, Zhaoquan Gu:
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph. 24558-24566 - Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. 24567-24575 - Di-Nan Lin, Jui-Feng Yao, Kun-Da Wu, Hao Xu, Chen-Hsi Huang, Hung-Yu Kao:
How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning. 24576-24584 - Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen:
Explore What LLM Does Not Know in Complex Question Answering. 24585-24594 - Barys Liskavets, Maxim Ushakov, Shuvendu Roy, Mark Klibanov, Ali Etemad, Shane K. Luke:
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference. 24595-24604 - Haoxiong Liu, Yifan Zhang, Yifan Luo, Andrew C. Yao:
Augmenting Math Word Problems via Iterative Question Composing. 24605-24613 - Jianjian Liu, Zhengtao Yu, Ying Li, Yuxin Huang, Shengxiang Gao:
Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing. 24614-24622 - Jiaqing Liu, Chong Deng, Qinglin Zhang, Shilin Zhou, Qian Chen, Hai Yu, Wen Wang:
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts. 24623-24631 - Rui Liu, Shuwei He, Yifan Hu, Haizhou Li:
Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech. 24632-24640 - Ruiheng Liu, Jinyu Zhang, Yanqi Song, Yu Zhang, Bailong Yang:
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay. 24641-24649 - Sannyuya Liu, Jintian Feng, Xiaoxuan Shen, Shengyingjie Liu, Qian Wan, Jianwen Sun:
VCR: A "Cone of Experience" Driven Synthetic Data Generation Framework for Mathematical Reasoning. 24650-24658 - Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Wanli Ma, Ji Xiang, Weiping Wang:
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models. 24659-24667 - Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu:
Adaptive Draft-Verification for Efficient Large Language Model Decoding. 24668-24676 - Yang Liu, Xiaoping Wang, Kai Lu:
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? 24677-24685 - Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du:
PAT: Pruning-Aware Tuning for Large Language Models. 24686-24695 - Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning. 24696-24704 - Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen:
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition. 24705-24713 - Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng:
Multi-View Empowered Structural Graph Wordification for Language Models. 24714-24722 - Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou:
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines. 24723-24731 - Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo:
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. 24732-24740 - Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang:
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering. 24741-24749 - Xuan Luo, Li Yang, Han Zhang, Geng Tu, Qianlong Wang, Keyang Ding, Chuang Fan, Jing Li, Ruifeng Xu:
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection. 24750-24758 - Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu:
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. 24759-24767 - Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui:
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. 24768-24776 - Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag, Alan Ritter, Wei Xu:
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark. 24777-24785 - Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao, Anthony Cuturrufo, Vijay S. Nori, Eran Halperin, Wei Wang:
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction. 24786-24794 - Shichao Ma, Xinfeng Zhang, Zeng Zhao, Bai Liu, Changjie Fan, Zhipeng Hu:
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue. 24795-24803 - Xindian Ma, Wenyuan Liu, Peng Zhang, Nan Xu:
3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding. 24804-24811 - Yiran Ma, Zui Chen, Tianqiao Liu, Mi Tian, Zhuo Liu, Zitao Liu, Weiqi Luo:
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning. 24812-24820 - Zhiyuan Ma, Zhenya Huang, Jiayu Liu, Minmao Wang, Hongke Zhao, Xin Li:
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning. 24821-24830 - Ziyang Ma, Yakun Song, Chenpeng Du, Jian Cong, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xie Chen:
Language Model Can Listen While Speaking. 24831-24839 - Ziyang Ma, Guanrou Yang, Yifan Yang, Zhifu Gao, Jiaming Wang, Zhihao Du, Fan Yu, Qian Chen, Siqi Zheng, Shiliang Zhang, Xie Chen:
Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration. 24840-24848 - Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue, Ahmad Rezaei, Yong Zhang:
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers. 24849-24857 - Jordan Meadows, Marco Valentino, André Freitas:
Controlling Equational Reasoning in Large Language Models with Prompt Interventions. 24858-24866 - Hao Ming, Xinguo Yu, Xiaotian Cheng, Zhenquan Shen, Xiaopan Lyu:
A Compact Model for Mathematics Problem Representations Distilled from BERT. 24867-24875 - Kshitij Mishra, Manisha Burja, Asif Ekbal:
Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities. 24876-24884 - Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li, Lawrence Y. L. Cheung:
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease. 24885-24892 - Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula, Sriram Vema, Edward Raff, Manas Gaur:
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation. 24893-24901 - Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang:
Evaluating LLM Reasoning in the Operations Research Domain with ORQA. 24902-24910 - Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi:
Reasoning over Uncertain Text by Generative Large Language Models. 24911-24920 - Makoto Nakatsuji, Yasuhiro Fujiwara, Atsushi Otsuka, Narichika Nomoto, Yoshihide Sato:
Tensorized Attention for Understanding Multi-Object Relationships. 24921-24929 - Abhilash Nandy, Sambaran Bandyopadhyay:
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution. 24930-24938 - Tuc Van Nguyen, James Michels, Hua Shen, Thai Le:
NOMATTERXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models. 24939-24947 - Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang:
Training on the Benchmark Is Not All You Need. 24948-24956 - Maizhen Ning, Zihao Zhou, Qiufeng Wang, Xiaowei Huang, Kaizhu Huang:
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs. 24957-24965 - Ziqian Ning, Shuai Wang, Yuepeng Jiang, Jixun Yao, Lei He, Shifeng Pan, Jie Ding, Lei Xie:
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation. 24966-24974 - Atsumoto Ohashi, Ryuichiro Higashinaka:
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems. 24975-24983 - Chengfu Ou, Lingyun Xiang, Yangfan Liu:
Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations. 24984-24992 - Jiefu Ou, Arda Uzunoglu, Benjamin Van Durme, Daniel Khashabi:
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. 24993-25001 - Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang:
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? 25002-25009 - Priyanshu Priya, Rishikant Chigrupaatii, Mauajama Firdaus, Asif Ekbal:
GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue. 25010-25018 - Shanbao Qiao, Xuebing Liu, Seung-Hoon Na:
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing. 25019-25028 - Jinghui Qin, Changsong Liu, Tianchi Tang, Dahuang Liu, Minghao Wang, Qianying Huang, Rumin Zhang:
Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders. 25029-25037 - Libo Qin, Qiguang Chen, Jingxuan Zhou, Jin Wang, Hao Fei, Wanxiang Che, Min Li:
Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection. 25038-25046 - Zeqing Qin, Yiwei Wu, Lansheng Han:
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification. 25047-25055 - Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Dynamic-Width Speculative Beam Decoding for LLM Inference. 25056-25064 - Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng:
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance. 25065-25073 - Shanghaoran Quan:
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity. 25074-25082 - Tianyu Ren, Hui Wang, Karen Rafferty:
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition. 25083-25091 - Yan Rong, Li Liu:
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion. 25092-25100 - Tom Segal, Asaf Shabtai, Yuval Elovici:
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation. 25101-25109 - Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov, Vladislav Lapikov, Roman Kim, Grigory Bartosh, Dmitry Molchanov, Sergey Markov, Dmitry P. Vetrov:
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings. 25110-25118 - Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou:
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. 25119-25127 - Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik:
Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs. 25128-25136 - Oleg Somov, Elena Tutubalina:
Confidence Estimation for Error Detection in Text-to-SQL Systems. 25137-25145 - Seoha Song, Junhyun Lee, Hyeonmok Ko:
Hansel: Output Length Controlling Framework for Large Language Models. 25146-25154 - Xin Song, Zhikai Xue, Guoxiu He, Jiawei Liu, Wei Lu:
Interweaving Memories of a Siamese Large Language Model. 25155-25163
Technical Tracks 24
- Xiujie Song, Xiaoyi Pang, Haifeng Tang, Mengyue Wu, Kenny Q. Zhu:
Is Your Image a Good Storyteller? 25165-25173 - Yakun Song, Zhuo Chen, Xiaofei Wang, Ziyang Ma, Xie Chen:
ELLA-V: Stable Neural Codec Language Modeling with Alignment-Guided Sequence Reordering. 25174-25182 - Hugo O. Sousa, Satya Almasian, Ricardo Campos, Alípio Mário Jorge:
Tradutor: Building a Variety Specific Translation Model. 25183-25191 - Hugo O. Sousa, Rúben Almeida, Purificação Silvano, Inês Cantante, Ricardo Campos, Alípio Mário Jorge:
Enhancing Portuguese Variety Identification with Cross-Domain Approaches. 25192-25200 - Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur, Yu Zhao, Henryk Michalewski, Lukasz Kucinski, Piotr Milos:
Structured Packing in LLM Training Improves Long Context Utilization. 25201-25209 - Kai Sun, Hao Wu, Bin Shi, Samuel Mensah, Peng Liu, Bo Dong:
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification. 25210-25218 - Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones:
Transformer Layers as Painters. 25219-25227 - Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Yulan He:
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language. 25228-25236 - Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. 25237-25245 - Jielong Tang, Zhenxing Wang, Ziyang Gong, Jianxing Yu, Xiangwei Zhu, Jian Yin:
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition. 25246-25254 - Lei Tang, Jinghui Qin, Wenxuan Ye, Hao Tan, Zhijing Yang:
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models. 25255-25263 - Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen:
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. 25264-25272 - Zhengwei Tao, Zhi Jin, Yifan Zhang, Xiancai Chen, Haiyan Zhao, Jia Li, Bin Liang, Chongyang Tao, Qun Liu, Kam-Fai Wong:
A Comprehensive Evaluation on Event Reasoning of Large Language Models. 25273-25281 - Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen:
Few-Shot, No Problem: Descriptive Continual Relation Extraction. 25282-25290 - Shiyu Tian, Shuyue Xing, Xingrui Li, Yangyang Luo, Caixia Yuan, Wei Chen, Huixing Jiang, Xiaojie Wang:
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation. 25291-25299 - Yuchen Tian, Weixiang Yan, Qian Yang, Xuandong Zhao, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma, Dawn Song:
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification. 25300-25308 - Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques:
Infer Human's Intentions Before Following Natural Language Instructions. 25309-25317 - Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu:
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning. 25318-25326 - Bingbing Wang, Yiming Du, Bin Liang, Zhixin Bai, Min Yang, Baojun Wang, Kam-Fai Wong, Ruifeng Xu:
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation. 25327-25335 - Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu:
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. 25336-25344 - Chenxu Wang, Ping Jian, Zhen Yang:
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension. 25345-25352 - Guoqing Wang, Wen Wu, Guangze Ye, Zhenxiao Cheng, Xi Chen, Hong Zheng:
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs. 25353-25361 - Jianing Wang, Yang Zhou, Xiaocheng Zhang, Mengjiao Bao, Peng Yan:
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization. 25362-25370 - Jieyi Wang, Yue Huang, Zeming Liu, Dexuan Xu, Chuan Wang, Xiaoming Shi, Ruiyuan Guan, Hongxing Wang, Weihua Yue, Yu Huang:
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling. 25371-25379 - Linqin Wang, Yaping Liu, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang, Wenjun Wang, Ling Dong:
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models. 25380-25388 - Linyong Wang, Lianwei Wu, Shaoqi Song, Yaxiong Wang, Cuiyun Gao, Kang Wang:
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization. 25389-25397 - Tongguan Wang, Mingmin Wu, Guixin Su, Dongyu Su, Yuxue Hu, Zhongqiang Huang, Ying Sha:
McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension. 25398-25406 - Xingmei Wang, Jinghan Liu, Jiaxiang Meng, Boquan Li, Zijian Liu:
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition. 25407-25415 - Yudong Wang, Damai Dai, Zhe Yang, Jingyuan Ma, Zhifang Sui:
Exploring Activation Patterns of Parameters in Language Models. 25416-25424 - Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Qun Liu, Dongyan Zhao:
Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding. 25425-25433 - Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng:
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models. 25434-25442 - Yujing Wang, Hainan Zhang, Sijia Wen, Wangjie Qiu, Binghui Guo:
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning. 25443-25451 - Zhensheng Wang, Wenmian Yang, Kun Zhou, Yiquan Zhang, Weijia Jia:
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector. 25452-25460 - Zhuang Wang, Linna Zhou, Xuekai Chen, Zhili Zhou, Zhongliang Yang:
STLC-KG: A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs. 25461-25469 - William Watson, Nicole Cho, Nishan Srishankar:
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing. 25470-25478 - Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou:
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. 25479-25487 - Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie:
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. 25488-25496 - Xianjie Wu, Jian Yang, Linzheng Chai, Ge Zhang, Jiaheng Liu, Xeron Du, Di Liang, Daixin Shu, Xianfu Cheng, Tianzhen Sun, Tongliang Li, Zhoujun Li, Guanglin Niu:
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering. 25497-25506 - Xin Wu, Yuqi Bu, Yifei Chen, Yi Cai:
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation. 25507-25515 - Yihan Wu, Yichen Lu, Yifan Peng, Xihua Wang, Ruihua Song, Shinji Watanabe:
Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization. 25516-25524 - Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen:
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct. 25525-25533 - Yuan Xia, Jingbo Zhou, Zhenhui Shi, Jun Chen, Haifeng Huang:
Improving Retrieval Augmented Language Model with Self-Reasoning. 25534-25542 - Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Fangxun Shu, Hao Jiang, Linchao Zhu:
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. 25543-25551 - Jiayuan Xie, Mengqiu Cheng, Xinting Zhang, Yi Cai, Guimin Hu, Mengying Xie, Qing Li:
Explicitly Guided Difficulty-Controllable Visual Question Generation. 25552-25560 - Jinxiang Xie, Yilin Li, Xunjian Yin, Xiaojun Wan:
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models. 25561-25569 - Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen:
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. 25570-25578 - Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu:
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework. 25579-25587 - Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao:
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. 25588-25596 - Chenyu Yang, Shuai Wang, Hangting Chen, Jianwei Yu, Wei Tan, Rongzhi Gu, Yaoxun Xu, Yizhi Zhou, Haina Zhu, Haizhou Li:
SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor. 25597-25605 - Dingkang Yang, Dongling Xiao, Jinjie Wei, Mingcheng Li, Zhaoyu Chen, Ke Li, Lihua Zhang:
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators. 25606-25614 - Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan:
UniMuMo: Unified Text, Music, and Motion Generation. 25615-25623 - Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Lei Zhang, Qiang Qu, Junyang Lin:
Fine-Tuning Language Models with Collaborative and Semantic Experts. 25624-25632 - Shuo Yang, Bardh Prenkaj, Gjergji Kasneci:
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting. 25633-25641 - Yang Yang, Xunde Dong, Yupeng Qiang:
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition. 25642-25650 - Ben Yao, Yazhou Zhang, Qiuchi Li, Jing Qin:
Is Sarcasm Detection a Step-by-Step Reasoning Process in Large Language Models? 25651-25659 - Jiashu Yao, Heyan Huang, Zeming Liu, Haoyu Wen, Wei Su, Boao Qian, Yuhang Guo:
ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks. 25660-25668 - Jixun Yao, Yuguang Yang, Yu Pan, Ziqian Ning, Jianhao Ye, Hongbin Zhou, Lei Xie:
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching. 25669-25677 - Jingheng Ye, Shang Qin, Yinghui Li, Xuxin Cheng, Libo Qin, Hai-Tao Zheng, Ying Shen, Peng Xing, Zishan Xu, Guo Cheng, Wenhao Jiang:
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction. 25678-25686 - Junyi Ye, Jingyi Gu, Xinyun Zhao, Wenpeng Yin, Grace Guiling Wang:
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems. 25687-25696 - Zhen Ye, Peiwen Sun, Jiahe Lei, Hongzhan Lin, Xu Tan, Zheqi Dai, Qiuqiang Kong, Jianyi Chen, Jiahao Pan, Qifeng Liu, Yike Guo, Wei Xue:
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model. 25697-25705 - Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He:
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning. 25706-25714 - Congchi Yin, Feng Li, Shu Zhang, Zike Wang, Jun Shao, Piji Li, Jianhua Chen, Xun Jiang:
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents. 25715-25723 - Maxwell J. Yin, Boyu Wang, Charles Ling:
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge. 25724-25732 - Ji Won Yoon:
Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training. 25733-25741 - Jiaxing Yu, Xinda Wu, Yunfei Xu, Tieyao Zhang, Songruoyao Wu, Le Ma, Kejun Zhang:
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training. 25742-25750 - Yijiong Yu, Yongfeng Huang, Zhixiao Qi, Zhe Zhou:
Training with "Paraphrasing the Original Text" Teaches LLM to Better Retrieve in Long-Context Tasks. 25751-25759 - Dingbo Yuan, Yipeng Chen, Guodong Liu, Chenchen Li, Chengfu Tang, Dongxu Zhang, Zhenkui Wang, Xudong Wang, Song Liu:
DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent. 25760-25768 - Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. 25769-25777 - Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li:
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation. 25778-25786 - Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou:
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis. 25787-25795 - Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei:
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks. 25796-25804 - Amir Zandieh, Majid Daliri, Insu Han:
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead. 25805-25813 - Jinshan Zeng, Xianglong Yu, Xianchao Tong, Wenyan Xiao:
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment. 25814-25822 - Xupeng Zha, Huan Zhao, Guanghui Ye, Zixing Zhang:
Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling. 25823-25831 - Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li:
Aligning Language Models Using Follow-up Likelihood as Reward Signal. 25832-25841 - Congzhi Zhang, Linhai Zhang, Jialong Wu, Yulan He, Deyu Zhou:
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment. 25842-25850 - Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He:
Controlling Large Language Models Through Concept Activation Vectors. 25851-25859 - Hongxuan Zhang, Yao Zhao, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen:
CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation. 25860-25867 - Jinyu Zhang, Zhiyuan You, Jize Wang, Xinyi Le:
SAIL: Sample-Centric In-Context Learning for Document Information Extraction. 25868-25876 - Junwei Zhang, Xiaolin Li:
Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation. 25877-25885 - Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Qiang Qu, Min Yang:
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs. 25886-25894 - Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang:
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. 25895-25903 - Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang:
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM. 25904-25912 - Shuai Zhang, Jiangyan Yi, Zhengqi Wen, Jianhua Tao, Feihu Che, Jinyang Wu, Ruibo Fu:
Code-switching Mediated Sentence-level Semantic Learning. 25913-25921 - Tian-Hao Zhang, Jiawei Zhang, Jun Wang, Xinyuan Qian, Xu-Cheng Yin:
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles. 25922-25930 - Wen Zhang, Long Jin, Yushan Zhu, Jiaoyan Chen, Zhiwei Huang, Junjie Wang, Yin Hua, Lei Liang, Huajun Chen:
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering. 25931-25939 - Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu:
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. 25940-25948 - Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold:
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. 25949-25957 - Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye:
Capability Instruction Tuning. 25958-25966 - You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang:
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective. 25967-25975 - Yue Zhang, Liqiang Jing, Vibhav Gogate:
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization. 25976-25984 - Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang:
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns. 25985-25993 - Yuxiang Zhang, Jitao Sang:
Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding. 25994-26002 - Zefan Zhang, Weiqi Zhang, Yanhui Li, Tian Bai:
Prototype-Guided Multimodal Relation Extraction based on Entity Attributes. 26003-26011 - Zhi Zhang, Yan Liu, Sheng-hua Zhong, Gong Chen, Yu Yang, Jiannong Cao:
Mixture of Knowledge Minigraph Agents for Literature Review Generation. 26012-26020 - Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang:
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints. 26021-26030 - Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan:
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency. 26031-26038 - Lulu Zhao, Weihao Zeng, Xiaofeng Shi, Hua Zhou:
CareBot: A Pioneering Full-Process Open-Source Medical Language Model. 26039-26047 - Yunlong Zhao, Haoran Wu, Bo Xu:
Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs. 26048-26056 - Li Zheng, Hao Fei, Ting Dai, Zuquan Peng, Fei Li, Huisheng Ma, Chong Teng, Donghong Ji:
Multi-Granular Multimodal Clue Fusion for Meme Understanding. 26057-26065 - Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang:
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. 26066-26074 - Shunfan Zheng, Xiechi Zhang, Gerard de Melo, Xiaoling Wang, Linlin Wang:
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation. 26075-26082 - Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov:
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. 26083-26091 - Hao Zhou, Zhijun Wang, Shujian Huang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Weihua Luo, Jiajun Chen:
MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing. 26092-26100 - Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang:
CharacterBench: Benchmarking Character Customization of Large Language Models. 26101-26110 - Wei Zhou, Wei Wei, Guibang Cao, Fei Wang:
Editing Memories Through Few Targeted Neurons. 26111-26119 - Zhenghao Zhou, Yongjie Liu, Chen Cao:
Advancing Audio-Based Text Generation with Imbalance Preference Optimization. 26120-26128 - Jia Zhu, Hanghui Guo, Weijie Shi, Zhangze Chen, Pasquale De Meo:
RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation. 26129-26137 - Mengna Zhu, Kaisheng Zeng, Mao Wang, Kaiming Xiao, Lei Hou, Hongbin Huang, Juanzi Li:
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents. 26138-26147 - Qiming Zhu, Jialun Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Shing-Chi Cheung:
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation. 26148-26156 - Runchuan Zhu, Zhipeng Ma, Jiang Wu, Junyuan Gao, Jiaqi Wang, Dahua Lin, Conghui He:
Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning. 26157-26165 - Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen:
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. 26166-26174 - Richard Zhuang, Akshat Gupta, Richard Yang, Aniket Rahane, Zhengyu Li, Gopala Anumanchipalli:
PokerBench: Training Large Language Models to Become Professional Poker Players. 26175-26182 - Wenwen Zhuang, Xin Huang, Xiantao Zhang, Jin Zeng:
Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning. 26183-26191 - Tianyu Zong, Bingkang Shi, Hongzhu Yi, Jungang Xu:
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings. 26192-26201
Technical Tracks 25
- Shuyang Dong, Meiyi Ma, Josephine Lamp, Sebastian G. Elbaum, Matthew B. Dwyer, Lu Feng:
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction. 26203-26210 - Odd Erik Gundersen, Odd Cappelen, Martin Mølnå, Nicklas Grimstad Nilsen:
The Unreasonable Effectiveness of Open Science in AI: A Replication Study. 26211-26219 - Jiaming He, Wenbo Jiang, Guanyu Hou, Wenshu Fan, Rui Zhang, Hongwei Li:
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models. 26220-26228 - Jiliang Hu, Jiajia Li, Ziyi Pan, Chong Chen, Zuchao Li, Ping Wang, Lefei Zhang:
SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away. 26229-26237 - Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu:
Perception-Guided Jailbreak Against Text-to-Image Models. 26238-26247 - Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn:
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning. 26248-26255 - Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang:
Fair Text-to-Image Diffusion via Fair Mapping. 26256-26264 - Jiate Li, Meng Pang, Binghui Wang:
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method. 26265-26272 - Xiujian Liang, Gaozhi Liu, Yichao Si, Xiaoxiao Hu, Zhenxing Qian:
ScreenMark: Watermarking Arbitrary Visual Content on Screen. 26273-26280 - Ziyou Liang, Weifeng Liu, Run Wang, Mengjie Wu, Boheng Li, Yuyang Zhang, Lina Wang, Xinyi Yang:
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection. 26281-26289 - Youngsun Lim, Hojun Choi, Hyunjung Shim:
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. 26290-26298 - Weilin Lin, Li Liu, Jianze Li, Hui Xiong:
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation. 26299-26307 - Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin:
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion. 26308-26316 - Yanming Liu, Xinyue Peng, Yuwei Zhang, Xiaolan Ke, Songhang Deng, Jiannan Cao, Chen Ma, Mengchen Fu, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du:
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models. 26317-26325 - Kien X. Nguyen, Tang Li, Xi Peng:
Interpretable Failure Detection with Human-Level Concepts. 26326-26334 - Yu Peng, Lijie Zhang, Peizhuo Lv, Kai Chen:
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater. 26335-26343 - Drago Plecko, Elias Bareinboim:
Fairness-Accuracy Trade-Offs: A Causal Perspective. 26344-26353 - Yuang Qi, Kejiang Chen, Na Zhao, Zijin Yang, Weiming Zhang:
Provably Secure Image Robust Steganography via Cross-modal Error Correction. 26354-26362 - Yuan Tian, Shuo Wang, Guangtao Zhai:
Medical Manifestation-Aware De-Identification. 26363-26372 - Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar:
FROC: Building Fair ROC from a Trained Classifier. 26373-26381 - Jessica Woodgate, Paul Marshall, Nirav Ajmeri:
Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents. 26382-26390 - Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao:
FairTP: A Prolonged Fairness Framework for Traffic Prediction. 26391-26399 - Haoran Ye, Yuhang Xie, Yuanyi Ren, Hanjun Fang, Xin Zhang, Guojie Song:
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models. 26400-26408 - Emily Yu, Dorde Zikelic, Thomas A. Henzinger:
Neural Control and Certificate Repair via Runtime Monitoring. 26409-26417 - Bin Zhang, Jinggang Chen, Xiaoyang Qu, Guokuan Li, Kai Lu, Jiguang Wan, Jing Xiao, Jianzong Wang:
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations. 26418-26426 - Jingyi Zheng, Tianyi Hu, Tianshuo Cong, Xinlei He:
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers. 26427-26435 - Nan Zhuang, Boyu Cao, Yi Yang, Jing Xu, Mingda Xu, Yuxiao Wang, Qi Liu:
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study. 26436-26444 - Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak, Arik Senderovich, Matthias Weidlich:
Privacy-and-Utility-Aware Publishing of Schedules. 26446-26453 - Marius Belly, Nathanaël Fijalkow, Hugo Gimbert, Florian Horn, Guillermo A. Pérez, Pierre Vandenhove:
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives. 26454-26462 - Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks. 26463-26471 - Luigi Bonassi, Francesco Percassi, Enrico Scala:
Towards Practical Classical Planning Compilations of Numeric Planning. 26472-26480 - Matteo Cardellini, Enrico Giunchiglia:
Temporal Numeric Planning with Patterns. 26481-26489 - Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen:
Approximating Optimal Labelings for Temporal Connectivity. 26490-26497 - Argyrios Deligkas, Michelle Döring, Eduard Eiben, Tiger-Lily Goldsmith, George Skretas, Georg Tennigkeit:
How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs. 26498-26506 - Daniel Gnad, Lee-or Alon, Eyal Weiss, Alexander Shleyfman:
PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning. 26507-26515 - Joshua Holder, Natasha Jaques, Mehran Mesbahi:
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems. 26516-26524 - Rostislav Horcík, Gustav Sír, Vítezslav Simek, Tomás Pevný:
State Encodings for GNN-Based Lifted Planners. 26525-26533 - Kim van den Houten, Léon Planken, Esteban Freydell, David M. J. Tax, Mathijs de Weerdt:
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags. 26534-26541 - Sukai Huang, Nir Lipovetzky, Trevor Cohn:
Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts. 26542-26550 - David Klaska, Antonín Kucera, Vojtech Kur, Vít Musil, Vojtech Rehák:
Multiple Mean-Payoff Optimization Under Local Stability Constraints. 26551-26558 - Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi:
ACPBench: Reasoning About Action, Change, and Planning. 26559-26568 - Martin Kurecka, Václav Nevyhostený, Petr Novotný, Vít Uncovský:
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves. 26569-26578 - Alessandro La Farciola, Alessandro Valentini, Andrea Micheli:
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning. 26579-26586 - Randy Lefebvre, Audrey Durand:
On Shallow Planning Under Partial Observability. 26587-26595 - Songtuan Lin, Alban Grastien, Rahul Shome, Pascal Bercher:
Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans. 26596-26604 - Yifan Lin, Enlu Zhou:
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. 26605-26613 - Jiarun Liu, Jia Hao, Chunhong Zhang, Zheng Hu:
WEPO: Web Element Preference Optimization for LLM-based Web Navigation. 26614-26622 - Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner:
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning. 26623-26630 - Tobias Meggendorfer, Maximilian Weininger, Patrick Wienhöft:
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient. 26631-26641 - Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu:
Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight. 26642-26650 - Thomy Phan, Shao-Hung Chan, Sven Koenig:
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning. 26651-26658 - Maximilian Schäffeler, Mohammad Abdulaziz:
Formally Verified Approximate Policy Iteration. 26659-26667 - Takumi Shimoda, Alex Fukunaga:
Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search. 26668-26677 - Igor G. Smit, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten:
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems. 26678-26687 - David Speck, Markus Hecher, Daniel Gnad, Johannes Klaus Fichte, Augusto B. Corrêa:
Counting and Reasoning with Plans. 26688-26696 - Simon Ståhlberg, Blai Bonet, Hector Geffner:
Learning More Expressive General Policies for Classical Planning Domains. 26697-26706 - Xing Tan, Alban Grastien:
Inapproximability of Optimal Multi-Agent Pathfinding Problems. 26707-26715 - Elisa Tosello, Alessandro Valentini, Andrea Micheli:
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation. 26716-26724 - Binghan Wu, Wei Bao, Bing Bing Zhou:
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information. 26725-26732 - Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu:
RATT: A Thought Structure for Coherent and Correct LLM Reasoning. 26733-26741 - Jingyang Zhao, Mingyu Xiao, Junqiang Peng, Ziliang Xiong:
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning. 26742-26749 - Jingyang Zhao, Mingyu Xiao:
A Matching-Based Algorithm for the Traveling Tournament Problem. 26750-26758 - Christel Baier, Sascha Klüppelholz, Jakob Piribauer, Robin Ziemek:
Formal Quality Measures for Predictors in Markov Decision Processes. 26760-26768 - Taehun Cha, Donghun Lee:
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments. 26769-26777 - Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blöbaum, Michaela Hardt, Dominik Janzing:
Toward Falsifying Causal Graphs Using a Permutation-Based Test. 26778-26786 - Simon Ferreira, Charles K. Assaad:
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding. 26787-26795 - Wuliang Huang, Yiqiang Chen, Xinlong Jiang, Chenlong Gao, Teng Zhang, Qian Chen, Yifan Wang:
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement. 26796-26804 - Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong Kim, Woo Chang Kim:
Locally Convex Global Loss Network for Decision-Focused Learning. 26805-26812 - Hyunchai Jeong, Adiba Ejaz, Jin Tian, Elias Bareinboim:
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies. 26813-26822 - Yuta Kawakami, Jin Tian:
Mediation Analysis for Probabilities of Causation. 26823-26832 - Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan:
Flow Factorization for Efficient Generative Flow Networks. 26833-26840 - Aurghya Maiti, Drago Plecko, Elias Bareinboim:
Counterfactual Identification Under Monotonicity Constraints. 26841-26850 - Hisayoshi Nanmo, Manabu Kuroki:
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects. 26851-26858 - Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou:
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations. 26859-26867 - Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An:
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data. 26868-26876 - Saman Ahmadi, Andrea Raith, Guido Tack, Mahdi Jalili:
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search. 26878-26885 - Shinwoo An, Yeonsu Chang, Kyungjin Cho, O-joung Kwon, Myounghwan Lee, Eunjin Oh, Hyeonjun Shin:
Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs. 26886-26894 - Spyros Angelopoulos, Christoph Dürr, Alex Elenter, Georgii Melidi:
Scenario-Based Robust Optimization of Tree Structures. 26895-26903 - Baiyu Chen, Junwen Ding, Canhui Luo, Qingyun Zhang, Zhouxing Su, Zhipeng Lü:
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem. 26904-26912 - Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li:
Fast and Slow Gradient Approximation for Binary Neural Network Optimization. 26913-26921 - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition. 26922-26930 - Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh:
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs. 26931-26938 - Tom Davot, Jessica A. Enright, Jayakrishnan Madathil, Kitty Meeks:
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time. 26939-26946 - Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang:
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. 26947-26954 - Benjamin Doerr, Martin S. Krejca, Günter Rudolph:
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces. 26955-26963 - Benjamin Doerr, Tudor Ivan, Martin S. Krejca:
Speeding Up the NSGA-II with a Simple Tie-Breaking Rule. 26964-26972 - Dimitris Fotakis, Evangelia Gergatsouli, Themistoklis Gouleakis, Nikolas Patris, Thanos Tolias:
Improved Bounds for Online Facility Location with Predictions. 26973-26981 - Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong:
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning. 26982-26990 - Mohammadreza Hami, Nathan R. Sturtevant:
Suboptimal Search with Dynamic Distribution of Suboptimality. 26991-26999 - Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung Tran The:
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs. 27000-27008 - Wenjing Hong:
Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels. 27009-27017 - Feihu Huang, Yuning Luo:
Faster Double Adaptive Gradient Methods. 27018-27026 - Chao Jiang, Miqing Li:
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation. 27027-27035 - Tomasz Jurdzinski, Dariusz R. Kowalski:
Searching for and Avoiding Hidden Sets Using Queries with Local Feedback. 27036-27044 - Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant:
Anchor Search: A Unified Framework for Suboptimal Bidirectional Search. 27045-27053 - Per Kristian Lehre, Shishen Lin:
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game. 27054-27062 - Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou:
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. 27063-27071 - Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu:
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment. 27072-27080 - Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Shu Wei, Yusong Deng, Meilan Hao:
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions. 27081-27089 - Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang:
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction. 27090-27098 - Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do, Cong Tran, Cuong Pham:
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. 27099-27107 - Andre Opris:
A Many-Objective Problem Where Crossover Is Provably Indispensable. 27108-27116 - Jacob F. Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel M. Faissol, Brenden K. Petersen, Mikel Landajuela:
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces. 27117-27125 - Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen:
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations. 27126-27134 - Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi:
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation. 27135-27143 - Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang:
Multi-Objective Evolution of Heuristic Using Large Language Model. 27144-27152 - Furong Ye, Chuan Luo, Shaowei Cai:
Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis. 27153-27160 - Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang:
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models. 27161-27169 - Ruihao Zheng, Zhenkun Wang:
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization. 27170-27177 - Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin:
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem. 27178-27186
Special Track on AI Alignment
- Somnath Banerjee, Sayan Layek, Soham Tripathy, Shanu Kumar, Animesh Mukherjee, Rima Hazra:
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. 27188-27196 - Michaela Benk, Léane Wettstein, Nadine Schlicker, Florian von Wangenheim, Nicolas Scharowski:
Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards. 27197-27205 - Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine:
Scaling Trends for Data Poisoning in LLMs. 27206-27214 - Benedikt Brückner, Alessio Lomuscio:
Verification of Neural Networks Against Convolutional Perturbations via Parameterised Kernels. 27215-27223 - Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Wei Huang, Xiaowei Huang:
Risk Controlled Image Retrieval. 27224-27232 - Selin Chun, Daejin Choi, Ted Taekyoung Kwon:
Political Bias Prediction Models Focus on Source Cues, Not Semantics. 27233-27241 - Ian Davidson, S. S. Ravi:
Searching for Unfairness in Algorithms' Outputs: Novel Tests and Insights. 27242-27249 - Emir Demirovic, Christian Schilling, Anna Lukina:
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search. 27250-27257 - Carlos Eiras-Franco, Anna Hedström, Marina M.-C. Höhne:
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution. 27258-27267 - Karl Elbakian, Samuel Carton:
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning. 27268-27276 - Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang, Wenqiang Lei:
LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets. 27277-27285 - Matteo Francobaldi, Michele Lombardi:
SMLE: Safe Machine Learning via Embedded Overapproximation. 27286-27294 - Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang:
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. 27295-27303 - Andrew Garber, Rohan Subramani, Linus Luu, Mark Bedaywi, Stuart Russell, Scott Emmons:
The Partially Observable Off-Switch Game. 27304-27311 - Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti:
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. 27312-27320 - Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi:
Robust Multi-Objective Preference Alignment with Online DPO. 27321-27329 - Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho:
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models. 27330-27338 - Rubi Hudson:
Joint Scoring Rules: Competition Between Agents Avoids Performative Prediction. 27339-27346 - Fengqing Jiang, Zhangchen Xu, Luyao Niu, Bill Yuchen Lin, Radha Poovendran:
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates. 27347-27355 - Konstantin Kaulen, Matthias König, Holger H. Hoos:
Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification. 27356-27364 - Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen:
Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment. 27365-27373 - Yeeun Kim, Hyunseo Shin, Eunkyung Choi, Hongseok Oh, Hyunjun Kim, Wonseok Hwang:
On the Consideration of AI Openness: Can Good Intent Be Abused? 27374-27382 - Panagiotis Kouvaros, Benedikt Brückner, Patrick Henriksen, Alessio Lomuscio:
Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification. 27383-27391 - Kelsey Kraus, Margaret Kroll:
Maximizing Signal in Human-Model Preference Alignment. 27392-27400 - Abhishek Ninad Kulkarni, Jie Fu, Ufuk Topcu:
Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives. 27401-27409 - Hao Lang, Fei Huang, Yongbin Li:
Debate Helps Weak-to-Strong Generalization. 27410-27418 - Hongyi Li, Jiawei Ye, Jie Wu, Tianjie Yan, Chu Wang, Zhixin Li:
JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs. 27419-27427 - Qing Li, Jiahui Geng, Derui Zhu, Zongxiong Chen, Kun Song, Lei Ma, Fakhri Karray:
Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update. 27428-27436 - Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian:
Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. 27437-27445 - Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho:
Retention Score: Quantifying Jailbreak Risks for Vision Language Models. 27446-27454 - Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui:
Exploring Intrinsic Alignments Within Text Corpus. 27455-27463 - Wenhao Liao, Sineng Yan, Youqian Zhang, Xinwei Zhai, Yuanyuan Wang, Eugene Yujun Fu:
Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception. 27464-27472 - Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh:
Single Character Perturbations Break LLM Alignment. 27473-27481 - Qi Lin, Hengtong Lu, Caixia Yuan, Xiaojie Wang, Huixing Jiang, Wei Chen:
Data with High and Consistent Preference Difference Are Better for Reward Model. 27482-27490 - Lin Ling, Fazle Rabbi, Song Wang, Jinqiu Yang:
Bias Unveiled: Investigating Social Bias in LLM-Generated Code. 27491-27499 - Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang:
Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction. 27500-27508 - Xingzhou Lou, Junge Zhang, Jian Xie, Lifeng Liu, Dong Yan, Kaiqi Huang:
Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling. 27509-27517 - Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein:
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models. 27518-27528 - Sadanand Modak, Noah Tobias Patton, Isil Dillig, Joydeep Biswas:
SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine. 27529-27537 - Grigory Neustroev, Mirco Giacobbe, Anna Lukina:
Neural Continuous-Time Supermartingale Certificates. 27538-27546 - Jonathan Nöther, Adish Singla, Goran Radanovic:
Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints. 27547-27555 - Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang:
Is Poisoning a Real Threat to DPO? Maybe More So Than You Think. 27556-27564 - Gonçalo Paulo, Thomas Marshall, Nora Belrose:
Do Transformer Interpretability Methods Transfer to RNNs? 27565-27572 - Pierre Peigné, Mikolaj Kniejski, Filip Sondej, Matthieu David, Jason Hoelscher-Obermaier, Christian Schröder de Witt, Esben Kran:
Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems. 27573-27581 - Konstantin F. Pilz, Lennart Heim, Nicholas Brown:
Increased Compute Efficiency and the Diffusion of AI Capabilities. 27582-27590 - Lukas-Santo Puglisi, Fabio Valdés, Jakob Johannes Metzger:
Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment. 27591-27598 - Manon Revel, Matteo Cargnelutti, Tyna Eloundou, Greg Leppert:
SEAL: Systematic Error Analysis for Value ALignment. 27599-27607 - Eryn Rigley, Adriane Chapman, Christine Evers, Will McNeill:
ME: Modelling Ethical Values for Value Alignment. 27608-27616 - Paul Röttger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy:
SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety. 27617-27627 - Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutiérrez, Antonio Guillen, Desik Rengarajan:
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. 27628-27635 - Joar Max Viktor Skalse, Alessandro Abate:
Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting. 27636-27643 - Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang:
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization. 27644-27652 - Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia:
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. 27653-27661 - Tom Tseng, Euan McLean, Kellin Pelrine, Tony Tong Wang, Adam Gleave:
Can Go AIs Be Adversarially Robust? 27662-27670 - Jingwen Wang, Dehui Du, Lili Tian, Yikang Chen, Yida Li, Yiyang Li:
ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning. 27671-27679 - Francis Rhys Ward:
Towards a Theory of AI Personhood. 27680-27688 - Fenghua Weng, Yue Xu, Chengyan Fu, Wenjie Wang:
MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models. 27689-27697 - Gavin Witsken, Igor Crk, Eren Gultepe:
LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI. 27698-27705 - Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu:
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. 27706-27714 - Peng Xi, Shaoliang Peng, Wenjuan Tang:
IBAS: Imperceptible Backdoor Attacks in Split Learning with Limited Information. 27715-27722 - Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu:
Evaluating Mathematical Reasoning Beyond Accuracy. 27723-27730 - Binxia Xu, Antonis Bikakis, Daniel F. O. Onah, Andreas Vlachidis, Luke Dickens:
Measuring Error Alignment for Decision-Making Systems. 27731-27739 - Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin:
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting. 27740-27747 - Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. 27748-27756 - Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang:
CALM: Curiosity-Driven Auditing for Large Language Models. 27757-27764 - Jiayi Zhou, Jiaming Ji, Josef Dai, Yaodong Yang:
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback. 27765-27773
Special Track on AI for Social Impact, Senior Member Presentations, New Faculty Highlights, Journal Track
- Nahian Ahmed, Mark Roth, Tyler A. Hallman, W. Douglas Robinson, Rebecca A. Hutchinson:
Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models. 27775-27783 - Kyeongjin Ahn, Sungwon Han, Sungwon Park, Jihee Kim, Sangyoon Park, Meeyoung Cha:
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model. 27784-27792 - Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava:
Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction. 27793-27801 - Tuka Alhanai, Adam Kasumovic, Mohammad M. Ghassemi, Aven Zitzelberger, Jessica M. Lundin, Guillaume Chabot-Couture:
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments. 27802-27812 - Cong Bai, Zhonghao Lin, Jinglin Zhang, Shengyong Chen:
Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources. 27813-27821 - Youheng Bai, Xueyi Li, Zitao Liu, Yaying Huang, Mi Tian, Weiqi Luo:
Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models. 27822-27830 - Hilmy Baja, Michiel Kallenberg, Ioannis N. Athanasiadis:
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning. 27831-27840 - Marzieh Bitaab, Alireza Karimi, Zhuoer Lyu, Ahmadreza Mosallanezhad, Adam Oest, Ruoyu Wang, Tiffany Bao, Yan Shoshitaishvili, Adam Doupé:
ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection. 27841-27848 - Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe:
Evaluating Index-based Treatment Allocation in Underresourced Communities. 27849-27857 - Nikolaos-Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis, David Rolnick:
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring. 27858-27868 - Tri Cao, Chengyu Huang, Yuexin Li, Huilin Wang, Amy He, Nay Oo, Bryan Hooi:
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection. 27869-27877 - Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Xi Luo, Raj Palleti, Jure Leskovec:
Learning Production Functions for Supply Chains with Graph Neural Networks. 27878-27886 - Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taïk, Reihaneh Rabbany, Golnoosh Farnadi:
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. 27887-27895 - Zirong Chen, Elizabeth Chason, Noah Mladenovski, Erin Wilson, Kristin Mullen, Stephen Martini, Meiyi Ma:
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation. 27896-27904 - Weihua Cheng, Hanwen Du, Chunxiao Li, Ersheng Ni, Liangdi Tan, Tianqi Xu, Yongxin Ni:
Uncertainty-aware Knowledge Tracing. 27905-27913 - Alexey Chernikov, Klaus Ackermann, Caitlin Brown, Denni Tommasi:
Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India. 27914-27921 - Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec:
Optimizing Heat Alert Issuance with Reinforcement Learning. 27922-27931 - Ting-Yu Dai, Hayato Ushijima-Mwesigwa:
PrecipDiff: Leveraging Image Diffusion Models to Enhance Satellite-Based Precipitation Observations. 27932-27939 - Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri, Minghui Zhang, Noura Farra, Nektar Ege Altintoprak, Lena Baur, Samantha Claudet, Pavel Gajdusek, Qilong Gu, Anna Kaminska, Tomasz Kaminski, Ruby Kuo, Akiko Kyuba, Jongho Lee, Kartik Mathur, Petter Merok, Ivana Milovanovic, Nani Paananen, Vesa-Matti Paananen, Anna Pavlenko, Bruno Pereira Vidal, Luciano Ivan Strika, Yueh Tsao, Davide Turcato, Oleksandr Vakhno, Judit Velcsov, Anna Vickers, Stéphanie F. Visser, Herdyan Widarmanto, Andrey Zaikin, Si-Qing Chen:
RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios? 27940-27950 - Thao Do, Dinh Phu Tran, An Vo, Daeyoung Kim:
Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition. 27951-27959 - Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi:
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework. 27960-27968 - Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia:
Multi-Scale Graph Learning for Anti-Sparse Downscaling. 27969-27977 - Zixuan Feng, Qing Ye, Weijun Xie, Qiushi Chen:
A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose Deaths. 27978-27988 - Matthew Forshaw, Rachel Gray, Bridgett vonHoldt, Alexander Ochoa, Joshua M. Miller, Kristin E. Brzeski, Adalgisa Caccone, Evelyn L. Jensen:
Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes. 27989-27997 - Alek Fröhlich, Thiago Ramos, Gustavo Motta Cabello Dos Santos, Isabela Panzeri Carlotti Buzatto, Rafael Izbicki, Daniel Guimarães Tiezzi:
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification. 27998-28006 - Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang, Haofen Wang:
Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data. 28007-28014 - Marc Grimson, Zhongdi Qu, Yue Mao, Aaron M. Ferber, Felipe Siqueira Pacheco, Sebastian Heilpern, Hector Angarita, Alexander Flecker, Carla P. Gomes:
Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion. 28015-28023 - Hongzhao Guan, Nabeel Gillani, Tyler Simko, Jasmine Mangat, Pascal Van Hentenryck:
Contextual Stochastic Optimization for School Desegregation Policymaking. 28024-28032 - David Hagerman, Anna Johnning, Roman Naeem, Fredrik Kahl, Erik Kristiansson, Lennart Svensson:
Optimizing Gene-Based Testing for Antibiotic Resistance Prediction. 28033-28041 - Peter Hall, Olivia Mundahl, Sunoo Park:
The Pitfalls of "Security by Obscurity" and What They Mean for Transparent AI. 28042-28051 - Hongyong Han, Wei Wang, Gaowei Zhang, Mingjie Li, Yi Wang:
Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health. 28052-28060 - Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang:
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction. 28061-28069 - Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia:
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks. 28070-28078 - Tengfei He, Xiao Zhou:
MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation. 28079-28087 - Joy He-Yueya, Jonathan Lee, Matthew Jörke, Emma Brunskill:
Cost-Aware Near-Optimal Policy Learning. 28088-28096 - Laurel M. Hopkins, Weng-Keen Wong, Hannah Kerner, Fuxin Li, Rebecca A. Hutchinson:
Data Augmentation Approaches for Satellite Imagery. 28097-28105 - Yiran Hu, Huanghai Liu, Qingjing Chen, Ning Zheng, Chong Wang, Yun Liu, Charles L. A. Clarke, Weixing Shen:
J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain. 28106-28115 - Zhikai Hu, Yiu-ming Cheung, Yonggang Zhang, Peiying Zhang, Puiling Tang:
Component-Level Segmentation for Oracle Bone Inscription Decipherment. 28116-28124 - Md. Saiful Islam, T. M. Tariq Adnan, Jan Freyberg, Sangwu Lee, Abdelrahman Abdelkader, Meghan Pawlik, Cathe Schwartz, Karen Jaffe, Ruth B. Schneider, Earl Ray Dorsey, Ehsan Hoque:
Accessible, At-Home Detection of Parkinson's Disease via Multi-Task Video Analysis. 28125-28133 - Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng, Fuli Feng:
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform. 28134-28141 - Archit Kambhamettu, Samantha Snyder, Maliheh Fakhar, Samuel Audia, Ross Miller, Jae Kun Shim, Aniket Bera:
VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning. 28142-28150 - Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus:
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. 28151-28159 - Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto:
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes. 28160-28167 - Jinlin Li, Xintong Li, Xiao Zhou:
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation. 28168-28176 - Yulong Li, Bolin Ren, Ke Hu, Changyuan Liu, Zhengyong Jiang, Kang Dang, Jionglong Su:
KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation. 28177-28185 - Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du:
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. 28186-28194 - Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson:
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits. 28195-28203 - Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong:
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. 28204-28212 - Feng Lu, Yuxiang Hou, Wei Li, Xiangying Yang, Haibo Zheng, Wenxi Luo, Leqing Chen, Yuyang Cao, Xiaofei Liao, Yu Zhang, Fan Yang, Albert Zomaya, Hai Jin:
NaFV-Net: An Adversarial Four-view Network for Mammogram Classification. 28213-28221 - Yuhuan Lu, Zhen Zhang, Rufan Bai, Han Liu, Wei Wang:
Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving. 28222-28230 - Zhuoqi Ma, Zejun You, Yang Dong, Yukai Liu, Xiyue Gao, Qiguang Miao:
UrbanWaste: In-the-Bin Dataset for Waste Disposal Inspection with Multi-Granularity Hierarchical Labels. 28231-28239 - Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic, Cynthia Rudin:
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data. 28240-28248 - Swapnil Mane, Suman Kundu, Rajesh Sharma:
TSGAN: Temporal Social Graph Attention Network for Aggressive Behavior Forecasting. 28249-28257 - Marco Minici, Luca Luceri, Francesco Fabbri, Emilio Ferrara:
IOHunter: Graph Foundation Model to Uncover Online Information Operations. 28258-28266 - Divyanshu Mishra, Pramit Saha, He Zhao, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, J. Alison Noble:
MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer. 28267-28275 - Kaipeng Niu, Danni Xu, Bingjian Yang, Wenxuan Liu, Zheng Wang:
Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model Approach. 28276-28283 - Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon, Yeji Choi:
Data-driven Precipitation Nowcasting Using Satellite Imagery. 28284-28292 - Oriel Perets, Ofir Ben Shoham, Nir Grinberg, Nadav Rappoport:
CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset. 28293-28301 - Julia Peters, Anja Neumann, Marco Jaeger, Lukas Gienapp, Josefine Umlauft:
ml4xcube: Machine Learning Toolkits for Earth System Data Cubes. 28302-28311 - Khandker Sadia Rahman, Charalampos Chelmis:
Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach. 28312-28320 - David Restrepo, Chenwei Wu, Zhengxu Tang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Cong-Tinh Dao, Jack Gallifant, Robyn Gayle Dychiao, Jose Carlo Artiaga, André Hiroshi Bando, Carolina Pelegrini Barbosa Gracitelli, Vincenz Ferrer, Leo Anthony Celi, Danielle S. Bitterman, Michael G. Morley, Luis Filipe Nakayama:
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. 28321-28330 - Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble:
Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection. 28331-28339 - Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Active Geospatial Search for Efficient Tenant Eviction Outreach. 28340-28348 - Amir Yaghoubi Shahir, Tilemachos Charalampous, Mahsa Keramati, Fatemeh Movafagh, Uwe Glässer, Hans Wehn:
GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries. 28349-28358 - Lanyu Shang, Bozhang Chen, Shiwei Liu, Yang Zhang, Ruohan Zong, Anav Vora, Ximing Cai, Na Wei, Dong Wang:
SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis. 28359-28367 - Shuaike Shen, Ke Liu, Muzhi Zhu, Hao Chen:
A Denoising Pre-training Framework for Accelerating Novel Material Discovery. 28368-28376 - Jimeng Shi, Zeda Yin, Arturo S. Leon, Jayantha Obeysekera, Giri Narasimhan:
FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation. 28377-28385 - Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moises Exposito-Alonso, Teja Kattenborn:
DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets. 28386-28396 - Minhyuk Song, Sungwon Han, SeungEon Lee, Donghyun Ahn, Jihee Kim, Meeyoung Cha:
Measuring Fine-Grained Urban Air Temperature with Satellite Imagery. 28397-28404 - Ajitesh Srivastava:
Aligning Time-series by Local Trends: Applications in Public Health. 28405-28412 - Joshua Strong, Qianhui Men, J. Alison Noble:
Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models. 28413-28421 - Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba:
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. 28422-28430 - Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser:
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback. 28431-28439 - Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang:
DroughtSet: Understanding Drought Through Spatial-Temporal Learning. 28440-28448 - Isabelle Tingzon, Utku Can Ozturk, Iván Dotú:
Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity. 28449-28457 - Ron van Bree, Diego Marcos, Ioannis N. Athanasiadis:
Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy. 28458-28466 - Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang:
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. 28467-28475 - Xinyu Wang, Lei Liu, Kang Chen, Tao Han, Bin Li, Lei Bai:
VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints. 28476-28484 - Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang:
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. 28485-28493 - Yufei Wu, Yixuan Even Xu, Xuming Zhang, Duo Liu, Shibing Zhu, Fei Fang:
Improving Community-Participated Patrol for Anti-Poaching. 28494-28501 - Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang:
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. 28502-28510 - Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu:
Black-Box Optimization with Implicit Constraints for Public Policy. 28511-28519 - Tianliang Xu, Eva Maxfield Brown, Dustin Dwyer, Sabina Tomkins:
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework. 28520-28529 - Ziyang Xu, Huangxuan Zhao, Wenyu Liu, Xinggang Wang:
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images. 28530-28538 - Demin Yu, Wenzhi Feng, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Wenchuan Du:
Integrating Multi-Source Data for Long Sequence Precipitation Forecasting. 28539-28547 - Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia:
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science. 28548-28556 - Shuxin Zhong, Kimberly Liu, Wenjun Lyu, Haotian Wang, Guang Wang, Yunhuai Liu, Tian He, Yu Yang, Desheng Zhang:
Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics. 28557-28565 - Ce Zhou, Yilun Liu, Weibin Meng, Shimin Tao, Weinan Tian, Feiyu Yao, Xiaochun Li, Tao Han, Boxing Chen, Hao Yang:
SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training. 28566-28574 - Yi Feng, Chuanyi Li, Vincent Ng:
Understanding Advertisements. 28576-28585 - Sarit Kraus, Kayla Boggess, Robert Kim, Bryan H. Choi, Lu Feng:
Towards Computational Foreseeability. 28586-28593 - Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting:
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? 28594-28600 - Chandan K. Reddy, Parshin Shojaee:
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges. 28601-28609 - Mohan Sridharan:
Back to the Future of Integrated Robot Systems. 28610-28615 - Biplav Srivastava:
A Vision for Reinventing Credible Elections with Artificial Intelligence. 28616-28623 - Dengji Zhao:
Incentives for Early Arrival. 28624-28628 - Satyandra K. Gupta:
Embodied AI for Smart Robotic Cells in Manufacturing Applications. 28630-28636 - Sheng Li:
Trustworthy AI Meets Educational Assessment: Challenges and Opportunities. 28637-28642 - Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno:
Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization. 28643-28650 - Pat Langley:
Learning Hierarchical Task Knowledge for Planning. 28652-28656 - Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah, Luis Chiruzzo, Zhijing Jin, Claude Kwizera, Joan Nwatu, Soujanya Poria, Thamar Solorio:
Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone. 28657-28670 - Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris:
What Do Machine Learning Researchers Mean by "Reproducible"? 28671-28683 - Salvatore Ruggieri, Andrea Pugnana:
Things Machine Learning Models Know That They Don't Know. 28684-28693 - Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone:
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. 28698-28699 - Erdem Biyik:
Efficient Robot Learning via Interaction with Humans. 28700 - Elizabeth Bondi-Kelly:
Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health. 28701 - Serena Booth:
AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate. 28702-28703 - Daniel S. Brown:
Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems. 28704 - Marlos C. Machado:
Representation-driven Option Discovery in Reinforcement Learning. 28705 - Long Chen:
Open-World Multimodal Understanding and Generation with Efficiently Finetuned Foundation Models. 28706 - Tianlong Chen:
Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs. 28707 - Wuyang Chen:
Automated, Interpretable, and Scalable Scientific Machine Learning. 28708 - Aryan Deshwal:
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design. 28709 - Ruohan Gao:
Multisensory Machine Intelligence. 28710 - Vivek Gupta:
Advancements in AI for Reasoning with Complex Data. 28711 - Mahdi Khalili:
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches. 28712 - Linyi Li:
Certified Trustworthiness in the Era of Large Language Models. 28713 - Manling Li:
From Large Language Models to Large Action Models: Reasoning and Planning with Physical World Knowledge. 28714 - Tian Li:
Scalable and Trustworthy Learning in Heterogeneous Networks. 28715 - Xiang Li:
Every Opinion Matters: Evaluating and Building Models with Pluralistic Views. 28716 - Yunzhu Li:
Learning Structured World Models From and For Physical Interactions. 28717-28718 - Xiaorui Liu:
Harnessing Robust Statistics for Trustworthy AI. 28719 - Jiaqi Ma:
Data Attribution: A Data-Centric Approach for Trustworthy AI Development. 28720 - Roberto Martín-Martín:
Robots Learning Through Physical Interactive Intelligence. 28721 - Evi Micha:
Axioms for AI Alignment from Human Feedback. 28722 - Reuth Mirsky:
Bad AI, Good AI: Rethinking the Agency of Our Artificial Teammates. 28723 - Ling Pan:
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets. 28724 - Freda Shi:
Learning Language Structures Through Grounding. 28725 - Weiyan Shi:
Persuasion for Social Good: How to Build and Break AI. 28726-28727 - Zheyuan Ryan Shi:
Scalable, Sustainable, Generalizable, and Responsible AI for Public Sector. 28728 - Shengpu Tang:
Transforming Healthcare Decision Making Using Artificial Intelligence. 28729 - Huazheng Wang:
Efficient and Robust Reinforcement Learning from Human Feedback. 28730 - Yixin Wang:
Representation Learning: A Causal Perspective. 28731 - Jun Wu:
Towards Trustworthy Machine Learning Under Distribution Shifts. 28732 - Zhaozhuo Xu:
Compression-Aware Computing for Scalable and Sustainable AI. 28733 - Kaiqing Zhang:
Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making. 28734-28735 - Qiang Zhang:
Knowledge-driven Scientific Large Language Models. 28736 - Ruqi Zhang:
Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling. 28737 - Linchao Zhu:
Scalable Vision-Language Understanding and Generation. 28738-28739 - Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto:
(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error. 28740 - Maxwell J. Jacobson, Yexiang Xue:
Integrating Symbolic Reasoning into Neural Generative Models for Design Generation. 28741 - Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge:
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. 28742 - Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. 28743 - Shiwali Mohan, Wiktor Piotrowski, Roni Stern, Sachin Grover, Sookyung Kim, Jacob Le, Johan de Kleer, Yoni Sher:
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds. 28744 - Jérémie Sublime:
The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence. 28745 - Weijie Zheng, Benjamin Doerr:
From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms (Journal Track). 28746-
IAAI-25, EAAI-25, AAAI-25 Student Abstracts, Undergraduate Consortium and Demonstrations
- Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer:
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms. 28748-28756 - Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt, Vasile George Marica, Sanjeev Kumar Karn, Oladimeji Farri:
CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models. 28757-28765 - Ji Won Kim, Jae Hong Park, Yuri Anna Kim, Sang Jun Lee:
Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case. 28766-28774 - Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen:
Knowledge Tagging with Large Language Model Based Multi-Agent System. 28775-28782 - Xu Liu, Yiqiang Lu, Jian Liu, Tianyi Zhang, Weiqiang Wang, Qian Liu, Shuai Li:
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce. 28783-28791 - Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy:
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial. 28792-28800 - Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen:
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. 28801-28809 - Qi Ye, Guangya Yu, Jingping Liu, Erzhen Chen, Chenjie Dong, Xiaosheng Lin, Zelei Liu, Han Yu, Tong Ruan:
IMQC: A Large Language Model Platform for Medical Quality Control. 28810-28818 - Gaowei Zhang, Wei Wang, Yusheng Peng, Yi Wang:
XCotton: Advancing AI-Enabled Hardware/Software Integrated System for Foreign Fiber Cleaning. 28819-28827 - Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Suranjana Samanta, Prateeti Mohapatra, Debanjana Kar, Ruchi Mahindru, Steve Barbieri, Eugen Postea, Brad Blancett, Arthur De Magalhaes:
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement. 28829-28835 - Sayantan Basu, Mohit Kumar, Sivaramakrishnan Kaveri:
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting. 28836-28842 - Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe:
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. 28843-28849 - Karol Lynch, Fabio Lorenzi, John D. Sheehan, Duygu Kabakci-Zorlu, Bradley Eck:
Structured Document Generation for Industrial Equipment. 28850-28856 - Aditya Mohan, Andie Gomez-Patron, Matthew Pritchard, Hannah Kerner:
Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images. 28857-28863 - John Murzaku, Zifan Liu, Md. Mehrab Tanjim, Vaishnavi Muppala, Xiang Chen, Yunyao Li:
ECLAIR: Enhanced Clarification for Interactive Responses. 28864-28870 - Alon Oved, Segev Shlomov, Sergey Zeltyn, Nir Mashkif, Avi Yaeli:
SNAP: Semantic Stories for Next Activity Prediction. 28871-28877 - Anthony Palladino, Dana Gajewski, Abigail Aronica, Patryk Deptula, Alexander Hamme, Seiyoung C. Lee, Jeff Muri, Todd Nelling, Michael A. Riley, Brian Wong, Margaret Duff:
An Application-Agnostic Automatic Target Recognition System Using Vision Language Models. 28878-28884 - Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
Automating the Expansion of Instrument Typicals in Piping and Instrumentation Diagrams (P&IDs). 28885-28891 - Evana Gizzi, Timothy Chase Jr., Christian Cassamajor-Paul, Rachael Chertok, Lily Clough, Connor Firth, Alan Gibson, Ibrahim Haroon, James Marshall, Patrick Maynard, Michael Monaghan, Hayley Owens, Daniel Rogers, Mahmooda Sultana, Jivko Sinapov, Bethany Theiling:
OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform. 28893-28899 - Serdar Kadioglu, Elton Yechao Zhu, Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Helmut G. Katzgraber:
BoolXAI: Explainable AI Using Expressive Boolean Formulas. 28900-28906 - Mitchell Kiely, Metin Ahiskali, Etienne Borde, Benjamin Bowman, David Bowman, Dirk Van Bruggen, KC Cowan, Prithviraj Dasgupta, Erich Devendorf, Ben Edwards, Alex Fitts, Sunny Fugate, Ryan Gabrys, Wayne Gould, H. Howie Huang, Jules Jacobs, Ryan Kerr, Isaiah J. King, Li Li, Luis Martinez, Christopher Moir, Craig Murphy, Olivia Naish, Claire Owens, Miranda Purchase, Ahmad Ridley, Adrian Taylor, Sara Farmer, William John Valentine, Yiyi Zhang:
Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective. 28907-28913 - Ping Chen, Jonathan Leung, Yinan Zhang, Zhiqi Shen:
The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender. 28915-28922 - Moomal Farhad, Mohammad Mehedy Masud, Aisha Alnaqbi, Rawan Mubarak, Aaisha Aladawi, Sara Alnaqbi:
From Crayons to Code: AI-Driven Insights into a Child's Mental Health Through Drawings. 28923-28929 - Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li:
Evaluation and Incident Prevention in an Enterprise AI Assistant. 28931-28937 - Sean McGregor, Allyson Ettinger, Nick Judd, Paul Albee, Liwei Jiang, Kavel Rao, William H. Smith, Shayne Longpre, Avijit Ghosh, Christopher Fiorelli, Michelle Hoang, Sven Cattell, Nouha Dziri:
To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices. 28938-28945 - Kevin Paeth, Daniel Atherton, Nikiforos Pittaras, Heather Frase, Sean McGregor:
Lessons for Editors of AI Incidents from the AI Incident Database. 28946-28953 - Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu:
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. 28955-28963 - Andrew Bell, Julia Stoyanovich:
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice. 28964-28972 - Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko, Lea Sabatini, Zifan Xu:
The Essentials of AI for Life and Society: An AI Literacy Course for the University Community. 28973-28978 - Chang Cai, Michelle Jong, Yih Yng Ng, Jo-Anne Elizabeth Manski-Nankervis, Kum Ying Tham, Preman Rajalingam, Boon Keong Ang, Jennifer Anne Cleland, Joseph Sung, Xiuyi Fan:
Developing a Postgraduate Program for AI in Medicine with Kern's Six-Step Curriculum Development Approach in Singapore. 28979-28987 - Kate Candon, Nicholas C. Georgiou, Rebecca Ramnauth, Jessie Cheung, E. Chandra Fincke, Brian Scassellati:
Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone. 28988-28995 - Jeevan Chapagain, Vasile Rus:
Automated Assessment of Student Self-Explanation in Code Comprehension Using Pre-Trained Language Models. 28996-29003 - Tahiya Chowdhury:
Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course. 29004-29012 - Levin Ho, Morgan McErlean, Zehua You, Douglas S. Blank, Lisa Meeden:
AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics Behind AI. 29013-29018 - Rushang Karia, Jayesh Nagpal, Daksh Dobhal, Pulkit Verma, Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava:
Using Explainable AI and Hierarchical Planning for Outreach with Robots. 29019-29027 - Per Ola Kristensson, Emily Patterson:
Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for Professionals. 29028-29035 - Kristina L. Kupferschmidt, Flora Wan, Juan Carrasquilla Alvarez, Dora Gaviria Castaño, Graham W. Taylor, Sedef Akinli Kocak:
Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave. 29036-29043 - Amogh Mannekote, Adam Davies, Jina Kang, Kristy Elizabeth Boyer:
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments. 29044-29052 - Rose Niousha, Lexie Jingruo Guo, Rick Kaifeng Li, Narges Norouzi, Lisa Zhang:
Comparing Artificial Intelligence Curricula in Canadian and US Universities. 29053-29061 - Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng:
Using Case Studies to Teach Responsible AI to Industry Practitioners. 29062-29069 - Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan:
We Are AI: Taking Control of Technology. 29070-29077 - Michael Wollowski:
Towards an AI Course Based on Neural Networks. 29078-29086 - Dailin Zheng, Yu Chen, Yee Kit Chan, Erica Lai, Leslie J. Albert:
Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course. 29087-29094 - Marie Absalon, Thomas Deneux:
"AlphAI": Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works. 29096-29103 - Safinah Arshad Ali, Sara Jakubowicz, Ayat Abodayeh, Amaan Zubairi, Dalal Aldossary, Cynthia Breazeal:
Designing Characters with AI: An Art & AI Learning Activity. 29104-29111 - Nazan Bautista, John Femiani, Daniela Inclezan:
Understanding K-12 Teachers' Needs for AI Education: A Survey-Based Study. 29112-29119 - Christina A. Bosch, Mary Cate Gustafson-Quiett, Samar Abu Hegly, Sarah Wharton, John Masla, Lydia Guterman, Calvin Macatantan, Eric Klopfer, Hal Abelson, Cynthia Breazeal:
Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test. 29120-29127 - Tanushree Burman, Milan Dahal, Geling Xu, Chris Rogers, Jennifer L. Cross, Jivko Sinapov:
Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students. 29128-29136 - Nicole M. Hutchins, Shan Zhang, Joanne R. Barrett, Maya Israel:
Empowering Educators in AI: Insights from Co-Designing an AI Microcredential with and for K-12 Educators. 29137-29144 - Hanqi Li, Ruiwei Xiao, Hsuan Nieu, Ying-Jui Tseng, Guan-Ze Liao:
"From Unseen Needs to Classroom Solutions": Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education. 29145-29152 - Hansol Lim, Danielle Boulden, Jessica Vandenberg, Veronica Cateté, Wookhee Min, Bradford W. Mott:
Shaping AI Interest in Rural Middle Schools with Unplugged Learning: Gender Differences and Teacher Insights. 29153-29161 - Anssi Lin, Anssi Salonen, Nicolas Pope, Henriikka Vartiainen, Matti Tedre:
A Versatile Low-Cost Kit for Teaching Novice Learners AI Using Robotics Components and a No-Code Development Playground. 29162-29170 - Ziyan Lin, Yun Dai:
Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy. 29171-29177 - John Masla, Christina A. Bosch, Prerna Ravi, Lydia Guterman, Sarah Wharton, Mary Cate Gustafson-Quiett, Samar Abu Hegly, Calvin Macatantan, Eric Klopfer, Cynthia Breazeal, Hal Abelson:
Supporting AI Literacy Teaching Through the Development of Assessments for Classroom Use. 29178-29185 - Luis Morales-Navarro, Yasmin B. Kafai, Lauren Vogelstein, Evelyn Yu, Danaë Metaxa:
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications. 29186-29194 - Luis Morales-Navarro, Yasmin B. Kafai, Eric Yang, Asep Suryana:
What Can Youth Learn About Artificial Intelligence and Machine Learning in One Hour? Examining How Hour of Code Activities Address the Five Big Ideas of AI. 29195-29202 - Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Mohammed Saqr, Sonsoles López-Pernas, Teemu Roos, Jari Laru, Matti Tedre:
An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending. 29203-29211 - David S. Touretzky, Christina Gardner-McCune, William Hanna, Angela Chen, Neel Pawar:
Learning to Think like a Neuron in Middle School. 29212-29219 - Saniya Vahedian Movahed, Fred Martin:
AI Chef Trainer: Introducing Students to the Importance of Data in Machine Learning. 29220-29227 - Nathan Wiatrek, Yash Verma, Fred Martin:
Word2Vec4Kids: Interactive Challenges to Introduce Middle School Students to Word Embeddings. 29228-29235 - Todd W. Neller, Rasika Bhalerao, Eun Kyung Ko, Vishodana Thamotharan, Lisa Zhang, Sonya Allin, Mahdi Haghifam, Michael Pawliuk, Rutwa Engineer, Florian Shkurti, Cunyan Ma, Daniella DiPaola, Cynthia Breazeal, Loreto Alonzi, Brian Wright, Ali Rivera, Kristin Fasiang, Duri Long, Shruthi Chockkalingam, Giulia Toti, Evan Shieh, Princewill Okoroafor, Thema Monroe-White, Mustafa Haiderbhai, Carolyn Quinlan, Ashwin R. Bharadwaj, Anio Zhang, Rajagopal Venkatesaramani, Sarah Wharton, John Masla, Lydia Guterman, Mary Cate Gustafson-Quiett, Christina A. Bosch, Samar Abu Hegley, Calvin Macatantan, Eric Klopfer, Hal Abelson, Shira Wein, Mercy Wairimu Gachoka, Li-Hsin Chang, Maryam Mirzaei, Mohammad Mahdi Ajallooeian:
Model AI Assignments 2025. 29238-29241 - Muqsit Azeem:
Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations. 29243-29244 - Kayla Boggess:
Explanations for Multi-Agent Reinforcement Learning. 29245-29246 - Onur Boyar:
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization. 29247-29248 - Kate Candon:
Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions. 29249-29250 - Flávia Carvalhido, Henrique Lopes Cardoso, Vítor Cerqueira:
Stress-Testing of Multimodal Models in Medical Image-Based Report Generation. 29251-29252 - Alex O. Davies:
Towards Addressing Frontiers in Graph Generation. 29253-29254 - Lea Demelius:
Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning. 29255-29256 - Zahra Ghorrati:
Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition. 29257-29258 - Filippos Gouidis:
A Hybrid Approach for Visual Recognition of Object States. 29259-29260 - Amar Halilovic:
Explainable Robot Navigation. 29261-29262 - Hans W. A. Hanley:
Tracking and Identifying International Propaganda and Influence Networks Online. 29263-29264 - Haimin Hu:
From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Interactive Robotics. 29265-29266 - Joseph Marvin Imperial:
Natural Language Generation with Expert Standards. 29267-29268 - Tunazzina Islam:
Understanding Microtargeting Pattern on Social Media. 29269-29270 - Ananya Joshi:
Data Monitoring for Large Scale Public Health Data. 29271-29272 - Mahammed Kamruzzaman:
Investigating and Mitigating Undesirable Biases in Large Language Models. 29273-29274 - Aneesh Komanduri:
Toward Causal Generative Modeling: From Representation to Generation. 29275-29276 - Cristiano Landi:
Mobility Data Representations for Spatiotemporal Tasks. 29277-29278 - Yezi Liu:
Towards Trustworthy, Efficient, and Scalable Machine Learning. 29279-29280 - Yuxing Lu:
Knowledge Graph and Large Language Model for Metabolomics. 29281-29282 - Amina Mevic:
Human Interpretable Virtual Metrology in the Semiconductor Manufacturing. 29283-29284 - Manisha Natarajan:
Adaptive Agents for Mixed-Initiative Human-AI Collaborations. 29285-29286 - Subash Neupane:
Intelligent Clinical Assistant for Personalized Responses and Clinical Summaries. 29287-29288 - Debalina Padariya:
A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets. 29289-29290 - Ruth-Emely Pierau:
Hyper-Spectral Image Generation from Frequency Spectrums. 29291-29292 - Fahmida Liza Piya, Rahmatollah Beheshti:
Advancing Feature Extraction in Healthcare through the Integration of Knowledge Graphs and Large Language Models. 29293-29294 - Heidi Reichert:
Understanding GenAI for Teaching and Learning in Secondary Classrooms. 29295-29296 - Shaghayegh Shajarian:
Towards Autonomous Network Management: AI-Driven Framework for Intelligent Log Analysis, Troubleshooting and Documentation. 29297-29298 - Yuanjie Shi:
Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction. 29299-29300 - Benyamin T. Tabarsi:
Developing LLM-Powered Trustworthy Agents for Personalized Learning Support. 29301-29302 - G. Mercy Wairimu:
Design and Evaluation of a Generative Artificial Intelligence-Based Tool for Students with Learning Disabilities in Kenya. 29303-29304 - Xiaochen Wang:
Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhanced. 29305-29306 - Ximing Wen:
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks. 29307-29308 - Kunpeng Xu:
Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications. 29309-29310 - Chhavi Yadav:
The Mainstays of Trustworthy Machine Learning. 29311-29312 - Guanqun Yang:
Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs. 29313-29314 - Janice Anta Zebaze, Azanzi Jiomekong, Innocent Souopgui, Germaine Djuidje Kenmoe:
Leveraging Large Language Models for Wind Energy Assessment. 29315-29316 - Haofeng Zhang:
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning. 29317-29318 - Yuan Zhong:
Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM. 29319-29320 - Ojas M. Agarwal, Madelein Villegas, Jack Mostow:
Using Next Sentence Prediction to Test ChatGPT's Text Comprehension (Student Abstract). 29322-29324 - Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek:
Hypernetwork Approach to Bayesian MAML (Student Abstract). 29325-29327 - Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi:
Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract). 29328-29330 - Rong-Ching Chang, Hao-Chuan Wang:
Communication Accommodation Between Large Language Models and Users Across Cultures (Student Abstract). 29331-29333 - Xiaojian Chen, Kuai Yu, Min-Zhi Jiang, Cihan Xiao, Ziqi Fu, Weiqiang Zhou:
scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract). 29334-29336 - Naman Chhibbar, Jugal Kalita:
Automatic Summarization of Long Documents (Student Abstract). 29337-29339 - Shrutimoy Das, Binita Maity:
Optimized Random Features for the Neural Tangent Kernel (Student Abstract). 29340-29342 - Austin L. Davis, Gita Sukthankar:
Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract). 29343-29344 - Akhil Deo:
QAagent: A Multiagent System for Unit Test Generation via Natural Language Pseudocode (Student Abstract). 29345-29347 - Yimian Ding, Jingzehua Xu, Yiyuan Yang, Guanwen Xie, Xinqi Wang, Shuai Zhang:
AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract). 29348-29350 - Harsh Dubey, Chulwoo Pack:
Leveraging Textual Memory and Key Frame Reasoning for Full Video Understanding Using Off-the-Shelf LLMs and VLMs (Student Abstract). 29351-29352 - Arka Dutta, Aman Priyanshu, Ashiqur R. KhudaBukhsh:
All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract). 29353-29355 - Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh:
ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract). 29356-29358 - Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur, Maciej Wolczyk:
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract). 29359-29361 - Bayaraa Enkhsaikhan, Ohyun Jo:
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract). 29362-29364 - Tanjim Bin Faruk, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara:
Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract). 29365-29367 - Glenn Fernandes, Meixi Lu, Farzad Shahabi, Jiayi Zheng, Aggelos K. Katsaggelos, Nabil Alshurafa:
Multi-Modal Hand-to-Mouth Gesture Recognition in Activity-Oriented RGB-Thermal Footage (Student Abstract). 29368-29370 - Srikar Reddy Gadusu, Yigit Küçük, Vania Santillana, Aaron King, Hande Küçük-McGinty:
Enhancing Aging Biomarker Research through Large Language Models and Knowledge Graphs (Student Abstract). 29371-29373 - Calvin Greenewald, Bradley Ashmore, Chien-Sing Poon, Lingwei Chen:
2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract). 29374-29376 - Da Cheng Gu, Wei Liu:
Assessing Vulnerabilities in State-of-the-Art Large Language Models Through Hex Injection (Student Abstract). 29377-29378 - Katherine Guerrerio, Lujie Karen Chen, Lisa Berlin, Brenda Jones Harden:
Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract). 29379-29381 - Qiming Guo, Chen Pan, Hua Zhang, Wenlu Wang:
Efficient Unlearning for Spatio-temporal Graph (Student Abstract). 29382-29384 - Nitin Gupta, Bharath Muppasani, Saina Srivastava, Aarohi Goel, Ross Hartfield, Todd Buehrig, Melissa Reck, Emma Kennedy, Kevin Poore, Karilyn Tremblay, Biplav Srivastava, Lucas Vasconcelos:
Towards Enhancing Road Safety in South Carolina Using Insights from Traffic and Driver-Education Data (Student Abstract). 29385-29387 - Daniel Hall, Jon M. Kleinberg:
Trade-Offs Between Information and Crowding in Sequential Decisions (Student Abstract). 29388-29389 - Pranav Jeevan, Neeraj Nixon, Amit Sethi:
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency (Student Abstract). 29390-29392 - Piyush Jha, Arnav Arora, Vijay Ganesh:
LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract). 29393-29395 - Jisu Kang, Wooseok Shin, Jin Sob Kim, Hyun Joon Park, Yujin Ham, Sung Won Han:
Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract). 29396-29398 - Mitsuka Kiyohara:
High School Course Scheduling: Student Preferences and Fairness Constraints (Student Abstract). 29399-29400 - Taegyeom Lee, Ohyun Jo:
Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract). 29401-29403 - Jonathan Li:
Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract). 29404-29406 - Lingfang Li, Procheta Sen:
Unraveling the Influence of Training Data and Internal Structures in Large Language Models for Enhanced Explainability (Student Abstract). 29407-29409 - Sarah Liaw:
A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract). 29410-29411 - Divya Lidder, Kathryn Morse, Bridget Sullivan, Wei Qian, Chenglin Miao, Mengdi Huai:
Neuron Explanations for Conformal Prediction (Student Abstract). 29412-29414 - Rally Lin, Christina Mo, Reyan Shariff, Darrick Zhang, Abdullah Alumar, Kaleb Kassaw, Leslie M. Collins, Boyla O. Mainsah:
Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract). 29415-29417 - Hou-Wan Long, On-In Ho, Qi-Qiao He, Yain-Whar Si:
Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract). 29418-29420 - Sijin Lu, Fangyuan Luo, Jun Wu:
Alleviating Dual Biases in Recommendation (Student Abstract). 29421-29422 - Xiangkui Lu, Jun Wu:
Top-one Recommendation with Anonymous User Behaviors (Student Abstract). 29423-29425 - Zhengyang Lu, Po-Chun Chien, Nian-Ze Lee, Vijay Ganesh:
Algorithm Selection for Word-Level Hardware Model Checking (Student Abstract). 29426-29427 - Ida Mattsson:
An Evolutionary Perspective on AI Alignment (Student Abstract). 29428-29430 - Atharv Mittal:
LoRA Unlearns More and Retains More (Student Abstract). 29431-29432 - Itsuki Nakayama, Makoto Onizuka:
NAAM: Node-Aware Attention Mechanism for Distilling GNNs-to-MLP (Student Abstract). 29433-29435 - Siddharth Narendra, Shubham Ojha, Aditya Narendra, Abhay Kshirsagar, Abhisek Mallick:
Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract). 29436-29438 - Omkar Narkar, Aman Vohra, Ashiqur R. KhudaBukhsh:
Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract). 29439-29441 - Sujoy Nath, Arkaprabha Basu, Kushal Bose, Swagatam Das:
From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract). 29442-29444 - Tzeh Yuan Neoh, Nicholas Teh:
Strategic Manipulation in Temporal Voting with Undesirable Candidates (Student Abstract). 29445-29447 - Thye Shan Ng, Feiqi Cao, Soyeon Caren Han:
3M-Game: Multi-Modal Multi-Task Multi-Teacher Learning for Game Event Detection (Student Abstract). 29448-29450 - Thanh-Danh Nguyen, Vinh-Tiep Nguyen, Tam V. Nguyen:
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract). 29451-29452 - Ryusei Ohtani, Yuko Sakurai, Satoshi Oyama:
Counterfactual Explanations of Time Varying Rankings (Student Abstract). 29453-29455 - James T. Oswald, Brandon Rozek, Thomas Macaulay Ferguson, Selmer Bringsjord:
A Modal Logic of Optimality (Student Abstract). 29456-29458 - Rongxin Ouyang, Kokil Jaidka, Subhayan Mukerjee, Guangyu Cui:
Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract). 29459-29461 - Christianah Titilope Oyewale, Rafiat M. Bamimore Akodu, Faith Adeoluwa Adeyemi:
Exploring the Impact of Age and Class Level on Emotional Perception: A Study of Nigerian Secondary School Girls Using the Reading the Mind in the Eyes Test (Student Abstract). 29462-29463 - Ian Tong Pan, Joseph D. Romano:
Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract). 29464-29465 - Ruth-Emely Pierau, Alaster Meehan, Hamid Rezatofighi, Peter J. Stuckey:
Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums Through Simulated Annealing (Student Abstract). 29466-29468 - Howard Prioleau, Saurav K. Aryal:
Entity Only vs. Inline Approaches: Evaluating LLMs for Adverse Drug Event Detection in Clinical Text (Student Abstract). 29469-29471 - Dayu Qin, Yi Yan, Ercan Engin Kuruoglu:
LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract). 29472-29474 - Shubhanshu Rao, Gaurav Kumar, Martin Agelin-Chaab:
A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract). 29475-29476 - Caroline Rinks:
Enhancing Detection of Relationship Abuse in Text with Multi-task Learning (Student Abstract). 29477-29479 - Emily Jimin Roh, Joo Yong Shim, Soohyun Park, Joongheon Kim:
Hybrid Quantum-Classical Style Transfer (Student Abstract). 29480-29481 - Nilanjana Saha, Narayan Changder, Redha Taguelmimt, Samir Aknine, Animesh Dutta:
Hide Exposures by Removing Mastermind's External Sources on Social Network (Student Abstract). 29482-29483 - Akshat Santhana Gopalan, Sowmya Ramaswamy Krishnan:
Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract). 29484-29486 - Zitong Shen, Kangzhong Wang, Youqian Zhang, Grace Ngai, Eugene Yujun Fu:
Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract). 29487-29489 - Dong Shu, Mengnan Du:
Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract). 29490-29492 - Kartik Singhal, Gautam Shroff:
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract). 29493-29494 - Shovito Barua Soumma, Abdullah Mamun, Hassan Ghasemzadeh:
Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract). 29495-29497 - Laven Srivastava, Ishaan Gakhar:
LAqua: Laplacian Pyramids for Aquatic Segmentation (Student Abstract). 29498-29500 - Pirzada Suhail, Amit Sethi:
Network Inversion of Convolutional Neural Nets (Student Abstract). 29501-29503 - Huifang Sun, Jiaming Pei, Lukun Wang:
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract). 29504-29505 - Zhihang Sun, Shuhan Qi, Xinhao Huang, Xinyu Xiao, Jiajia Zhang, Xuan Wang, Peixi Peng:
Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract). 29506-29508 - Shota Takayama, Katsuhide Fujita:
Sequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract). 29509-29511 - Sutashu Tomonaga, Haruo Mizutani, Kenji Doya:
Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract). 29512-29513 - Supriti Vijay, Aman Priyanshu, Ashiqur R. KhudaBukhsh:
When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract). 29514-29516 - Diana Vins, Jean Erik Delanois, Maxim Bazhenov:
When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract). 29517-29518 - Jonas Vistrup:
An Expert System for Danish Traffic Law Cases (Student Abstract). 29519-29520 - Guihong Wan, Ninghui Hao, Crystal Maung, Haim Schweitzer, Chen Zhao, Kun-Hsing Yu, Yevgeniy R. Semenov:
Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). 29521-29523 - Deliang Wang, Yu Lu, Gaowei Chen:
Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract). 29524-29526 - Yasir White, Jevon Lipsey, Jeff Heflin:
An Evaluation of Approaches to Train Embeddings for Logical Inference (Student Abstract). 29527-29528 - Piotr Wyrwinski, Krzysztof Krawiec:
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract). 29529-29531 - Eric Xia, Jugal Kalita:
Linear Decoding of Morphology Relations in Language Models (Student Abstract). 29532-29534 - Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, Shuai Zhang:
ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract). 29535-29537 - Jingzehua Xu, Guanwen Xie, Yimian Ding, Yongming Zeng, Haoyu Wang, Shuai Zhang:
UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract). 29538-29540 - Xiaoqing Xu, Jiaming Pei, Lukun Wang:
A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract). 29541-29542 - Enshuo Yan, Huachuan Wang, Weihao Xia:
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract). 29543-29544 - Shuo Yang, Siwen Luo, Soyeon Caren Han:
Multimodal Commonsense Knowledge Distillation for Visual Question Answering (Student Abstract). 29545-29547 - Gerard Christopher Yeo, Kokil Jaidka:
Understanding Annotator Perception: Modeling Psychological Inference from First- and Third-Person Annotations (Student Abstract). 29548-29550 - Emily Yu:
Understanding Unique Behavioral Patterns through Multimodal Analysis of Eye-Hand Coordination in Autistic Children (Student Abstract). 29551-29553 - Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li:
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract). 29554-29557 - Yifan Zhang, Jeff Heflin:
Efficient Image Similarity Search with Quadtrees (Student Abstract). 29558-29559 - Nicholas Abram:
Personalized Learning in Action: Exploring AI and Robotics for Early Childhood Education. 29561-29563 - Hunnain Arsalan:
Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems. 29564-29566 - James Blossom Eleojo:
Utilizing Vision-Language Models for Detection of Leaf-Based Diseases in Tomatoes. 29567-29569 - Soyon Choi:
Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression. 29570-29572 - Precious Donkor:
Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework. 29573-29575 - Kennedy Hecker:
Weapon Activity Recognition. 29576-29578 - Iteoluwa Ibitoye:
AI-Driven Multicultural Identity Preservation. 29579-29580 - Gautam Jajoo:
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model. 29581-29583 - Jiarui Li:
A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision. 29584-29586 - Jessica E. Liang:
Diffusion Models for Robotics. 29587-29589 - Gerald Ketu Ndawula:
Knowledge-Infused Learning for Developing a Mental Health Diagnostic Copilot in Healthcare Systems. 29590-29592 - Chidiogo Nwabuike:
Giving Cars Eyes: Using Computer Vision to Prevent Road Traffic Accidents in Nigeria. 29593-29595 - Thao Pham:
Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs' Task-Specific Understanding over Test-Taking Strategies. 29596-29598 - Sophia Pi:
Exploring Topological Properties in Artificial Neural Networks. 29599-29601 - Mariana Risco Cosavalente:
Visual Question Answering for Peruvian Cuisine in Regional Spanish. 29602-29604 - Anna Serbina:
Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning. 29605-29606 - Devin Wingfield:
Using Machine Learning to Improve Research in the Agriculture Industry. 29607-29609 - Katherine Xu:
AI-Driven Personalized Fall Prevention for Older Adults. 29610-29612 - Zijian Zhang:
Pancreatic Cancer Diagnosis System. 29613-29614 - Ashlesha Akella, Krishnasuri Narayanam:
Data Wrangling Task Automation Using Code-Generating Language Models. 29616-29618 - Bing-Kun Bao, Yefei Sheng, Jie Wang, Yaning Li, Sisi You:
InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation Platform. 29619-29621 - Ameera Bawazir, Hassan Alshanqiti, Kebin Wu, Fatima Albreiki:
Falcon Medical Visual Question Answering. 29622-29624 - Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng (Polo) Chau:
TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models. 29625-29627 - Elizabeth M. Daly, Seshu Tirupathi, Sean Rooney, Inge Vejsbjerg, Dhaval Salwala, Christopher Giblin, Frank Bagehorn, Luis Garcés-Erice, Peter Urbanetz, Mira L. Wolf-Bauwens:
Usage Governance Advisor: From Intent to AI Governance. 29628-29630 - David Debot, Gabriele Venturato, Giuseppe Marra, Luc De Raedt:
Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields. 29631-29633 - Michael Desmond, Ja Young Lee, Ibrahim Ibrahim, James M. Johnson, Avirup Sil, Justin MacNair, Ruchir Puri:
Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories. 29634-29636 - Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martín Santillán Cooper, Qian Pan, Rahul Nair, Nico Wagner, Tejaswini Pedapati:
EvalAssist: LLM-as-a-Judge Simplified. 29637-29639 - Frederik Glitzner, David F. Manlove:
MATWA: A Web Toolkit for Matching Under Preferences. 29640-29642 - Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay:
An LLM-Guided Tutoring System for Social Skills Training. 29643-29645 - Kazuya Kakizaki, Yuto Matsunaga, Ryo Furukawa:
MAFT: Multimodal Automated Fact-Checking via Textualization. 29646-29648 - Ali Köksal, Jingjing Gu, Kotaro Hara, Jing Jiang, Joo-Hwee Lim, Qianli Xu:
SPASCA: Social Presence and Support with Conversational Agent for Persons Living with Dementia. 29649-29651 - Daniel Lee, Arjun Chandra, Yang Zhou, Yunyao Li, Simone Conia:
Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval. 29652-29654 - Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng:
LLM Attributor: Interactive Visual Attribution for LLM Generation. 29655-29657 - Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He:
An Automated Explainable Educational Assessment System Built on LLMs. 29658-29660 - Renjith Prasad Kaippilly Mana, Chathurangi Shyalika, Revathy Venkataramanan, Darssan Eswaramoorthi, Amit P. Sheth:
Pic2Prep: A Multimodal Conversational Agent for Cooking Assistance. 29661-29663 - Abhijit Manatkar, Ashlesha Akella, Krishnasuri Narayanam, Sameep Mehta:
Question-guided Insights Generation for Automated Exploratory Data Analysis. 29664-29666 - Sheikh Mannan, Nikhil Krishnaswamy:
Bidirectional Human-AI Learning in Real-Time Disoriented Balancing. 29667-29669 - Movina Moses, Mohab Elkaref, James Barry, Shinnosuke Tanaka, Vishnudev Kuruvanthodi, Nathan Herr, Campbell D. Watson, Geeth De Mel:
QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform. 29670-29672 - John Murzaku, Zifan Liu, Vaishnavi Muppala, Md. Mehrab Tanjim, Xiang Chen, Yunyao Li:
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant. 29673-29675 - Derek Palmer, Yifan Zhu, Kenneth Lai, Hannah VanderHoeven, Mariah Bradford, Ibrahim Khebour, Carlos Mabrey, Jack Fitzgerald, Nikhil Krishnaswamy, Martha Palmer, James Pustejovsky:
Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement. 29676-29678 - Yeseung Park, Hyunse Yoon, Jungwoo Huh, Jungsu Kim, Jeongwook Choi, Sanghoon Lee:
SDAS: Semantic Data Acquisition System for Minimizing Redundancy and Maximizing Diversity. 29679-29681 - Félix Martí Pérez, Ana Domínguez-Rodríguez, Cèsar Ferri, Carlos Monserrat:
MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs. 29682-29684 - Marco Postiglione, Julian Baldwin, Natalia Denisenko, Luke Fosdick, Chongyang Gao, Isabel Gortner, Chiara Pulice, Sarit Kraus, V. S. Subrahmanian:
GODDS: The Global Online Deepfake Detection System. 29685-29687 - Martin Rames, Pavel Surynek:
Accessible Hardware Implementation for Multi-Agent Collective Construction. 29688-29690 - Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli:
StarVector: Generating Scalable Vector Graphics Code from Images and Text. 29691-29693 - Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutiérrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash:
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. 29694-29696 - Errikos Streviniotis, George Klioumis, Nikos Giatrakos:
SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data. 29697-29699 - Benyamin T. Tabarsi, Aditya Basarkar, Xukun Liu, Dongkuan Xu, Tiffany Barnes:
MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students. 29700-29702 - Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha:
Agentic AI for Digital Twin. 29703-29705 - Stylianos Loukas Vasileiou, William Yeoh:
TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic. 29706-29708 - Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe:
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning. 29709-29711 - Gavin Wong, Yulia Kumar, J. Jenny Li, Dov Kruger:
Real-Time Object Detection and Skeletonization for Motion Prediction in Video Streaming. 29712-29714 - Kuizong Wu, Shaozu Yuan, Chang Shen, Long Xu, Meng Chen:
AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation. 29715-29717 - Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng:
RLLTE: Long-Term Evolution Project of Reinforcement Learning. 29718-29720 - Peng Yuan, Lu An Tang, Yanchi Liu, Yuji Kobayashi, Moto Sato, Haifeng Chen:
Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model. 29721-29723 - Jungmin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang, YoungBin Kim:
SummPilot: Bridging Efficiency and Customization for Interactive Summarization System. 29724-29726 - Zhen Zeng, Jie Wang, Xi Lyu:
A Multi-Style Chinese Characters Writing Intelligent Tool Based on Small-scale Training Data. 29727-29729 - Tianyang Zhang, Zhuoxuan Jiang, Haotian Zhang, Lin Lin, Shaohua Zhang:
MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs. 29730-29732 - Yuze Zhao, Jintao Huang, Jinghan Hu, Xingjun Wang, Yunlin Mao, Daoze Zhang, Zeyinzi Jiang, Zhikai Wu, Baole Ai, Ang Wang, Wenmeng Zhou, Yingda Chen:
SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning. 29733-29735 - Qiaohui Zhou, Zhongliang Zhou, Michael Johnson, Michelle Ngo, Federico Ferrari, Junshui Ma:
ClinicalRAG: Automating Pharmaceutical Label Quality Control with Hierarchical RAG and Large Language Models. 29736-29738
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