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ORCIDFei Wu 0001
Person information
- affiliation: Zhejiang University, College of Computer Science and Technology, Hangzhou, China
Other persons with the same name
- Fei Wu — disambiguation page
- Fei Wu 0002 — University of Stuttgart, Germany
- Fei Wu 0003 — Google Research, Mountain View, CA, USA (and 1 more)
- Fei Wu 0004
![[0000-0001-5498-4947]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5498-4947")
— Nanjing University of Posts and Telecommunications, College of Automation, Nanjing, China (and 1 more) - Fei Wu 0005 — Huazhong University of Science and Technology, Key Lab of Data Storage Systems, Wuhan, China (and 1 more)
- Fei Wu 0006 — Shanghai University of Engineering Science, Shanghai, China (and 1 more)
- Fei Wu 0007 — Pennsylvania State University, College of Information Science and Technology, State College, PA, USA
- Fei Wu 0008 — Ohio State University, Columbus, OH, USA
- Fei Wu 0009 — Versailles Saint-Quentin-en-Yvelines University, France
- Fei Wu 0010 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China
- Fei Wu 0011 — Tsinghua University, Department of Automation, Beijing, China
- Fei Wu 0012 — CUHK, Hong Kong
- Fei Wu 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Fei Wu 0014 — CAS, Institute of Remote Sensing Applications, Beijing, China
- Fei Wu 0015 — Jilin University, Changchun, China
- Fei Wu 0016 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
- Fei Wu 0017 — Sichuan University, Chengdu, China
- Fei Wu 0018 — Zhengzhou University, School of Information Engineering, Zhengzhou, China
- Fei Wu 0019 — National Unviersity of Singapore, Department of Physics, Singapore
- Fei Wu 0020 — Beijing University of Technology, College of Metropolitan Transportation, Beijing, China
- Fei Wu 0021 — Beijing Institute of Technology, School of Automation, Beijing, China
- Fei Wu 0022 — University of Massachusetts, Boston, MA, USA
- Fei Wu 0023 — Beijing University of Chemical Technology, Beijing, China
- Fei Wu 0024 — Southeast University, School of Automation, Nanjing, China
- Fei Wu 0025 — University of Erlangen-Nuremberg, Department of Computer Science, Erlangen, Germany
- Fei Wu 0026 — ZheJiang University of Technology, College of Computer Science and Technology, HangZhou, China
- Fei Wu 0027 — University of Minnesota, Minneapolis, MN, USA
- Fei Wu 0028 — Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
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2020 – today
- 2025
[j153]Shaolong Zhu, Tianle Yang, Dongwei Han, Weijun Zhang, Muhammad Zain, Qiaoqiao Yu, Yuanyuan Zhao, Fei Wu, Zhaosheng Yao, Tao Liu, Chengming Sun:
ODP: A novel indicator for estimating photosynthetic capacity and yield of maize through UAV hyperspectral images. Comput. Electron. Agric. 235: 110350 (2025)- [j152]Yumeng Zhu, Caifeng Zhu, Tao Wu, Shulei Wang, Yiyun Zhou, Jingyuan Chen, Fei Wu, Yan Li:
Impact of assignment completion assisted by Large Language Model-based chatbot on middle school students' learning. Educ. Inf. Technol. 30(2): 2429-2461 (2025) - [j151]Wenguan Wang, Yi Yang, Fei Wu:
Towards Data-And Knowledge-Driven AI: A Survey on Neuro-Symbolic Computing. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 878-899 (2025) - [j150]Fei Wu, Jun Yin, Xiaochuan Li, Jianfeng Wu, Da Jin, Jiamin Yang:
CoNet: A Consistency-Oriented Network for Camouflaged Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 35(1): 287-299 (2025) - [j149]Zhengqing Fang, Zhouhang Yuan, Ziyu Li, Jingyuan Chen, Kun Kuang, Yu-Feng Yao, Fei Wu:
Cross-Modality Image Interpretation via Concept Decomposition Vector of Visual-Language Models. IEEE Trans. Circuits Syst. Video Technol. 35(4): 3024-3038 (2025) - [j148]Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu:
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. IEEE Trans. Knowl. Data Eng. 37(2): 823-836 (2025) - [j147]Mengying Zhu, Mengyuan Yang, Yan Wang, Fei Wu, Qianqiao Liang, Chaochao Chen, Hua Wei, Xiaolin Zheng:
SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. IEEE Trans. Knowl. Data Eng. 37(6): 3714-3727 (2025) - [j146]Liuying Gong, Jingyuan Chen, Fei Wu:
Is ChatGPT a Competent Teacher? Systematic Evaluation of Large Language Models on the Competency Model. IEEE Trans. Learn. Technol. 18: 530-541 (2025) - [j145]Zihan Huang, Tao Wu, Wang Lin, Shengyu Zhang, Jingyuan Chen, Fei Wu:
AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding. IEEE Trans. Multim. 27: 3105-3116 (2025) - [c297]Zhiang Dong, Jingyuan Chen, Fei Wu:
Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis. AAAI 2025: 164-172 - [c296]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. AAAI 2025: 4824-4832 - [c295]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. AAAI 2025: 17662-17670 - [c294]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. AAAI 2025: 19233-19241 - [c293]Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu:
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. COLING 2025: 4410-4427 - [c292]Yuxiao Lin, Tao Jin, Xize Cheng, Zhou Zhao, Fei Wu:
Curriculum Learning aided Audio-Visual Speech Recognition with Arbitrary Speaker Number. ICASSP 2025: 1-5 - [c291]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. ICLR 2025 - [c290]Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang:
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning. ICLR 2025 - [c289]Haofu Qian, Chenjia Bai, Jiatao Zhang, Fei Wu, Wei Song, Xuelong Li:
Discriminator-Guided Embodied Planning for LLM Agent. ICLR 2025 - [c288]Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang:
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. ICLR 2025 - [c287]Yihuai Xu, Yongwei Wang, Yifei Bi, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu:
Training-free LLM-generated Text Detection by Mining Token Probability Sequences. ICLR 2025 - [c286]Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu:
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. KDD (1) 2025: 962-973 - [c285]Shengyu Zhang, Fan Yao, Yujie Lu, Chaoyue Niu, Hongxia Yang, Fan Wu, Fei Wu:
CEFSW'25: The 2nd Collaboration and Evolution of Foundation and Specialized Models Workshop. ICMR 2025: 2151-2153 - [c284]Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang, Chen Guo:
GPT-NER: Named Entity Recognition via Large Language Models. NAACL (Findings) 2025: 4257-4275 - [c283]Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang:
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator. NAACL (Long Papers) 2025: 4776-4791 - [c282]Ang Li, Yiquan Wu, Ming Cai, Adam Jatowt, Xiang Zhou, Weiming Lu, Changlong Sun, Fei Wu, Kun Kuang:
Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification. NAACL (Long Papers) 2025: 6957-6970 - [c281]Jie Sun, Zuocheng Shi, Li Su, Wenting Shen, Zeke Wang, Yong Li, Wenyuan Yu, Wei Lin, Fei Wu, Bingsheng He, Jingren Zhou:
Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. PPoPP 2025: 2-15 - [i257]Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu:
General Information Metrics for Improving AI Model Training Efficiency. CoRR abs/2501.02004 (2025) - [i256]Zhaoyi Yan, Zhijie Sang, Yiming Zhang, Yuhao Fu, Baoyi He, Qi Zhou, Yining Di, Chunlin Ji, Shengyu Zhang, Fei Wu, Hongxia Yang:
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion. CoRR abs/2501.02795 (2025) - [i255]Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu:
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. CoRR abs/2501.04575 (2025) - [i254]Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu:
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. CoRR abs/2501.05647 (2025) - [i253]Zheqi Lv, Wenkai Wang, Jiawei Wang, Shengyu Zhang, Fei Wu:
Cascaded Self-Evaluation Augmented Training for Efficient Multimodal Large Language Models. CoRR abs/2501.05662 (2025) - [i252]Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu:
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. CoRR abs/2501.06521 (2025) - [i251]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. CoRR abs/2501.07596 (2025) - [i250]Jingyuan Chen, Tao Wu, Wei Ji, Fei Wu:
WisdomBot: Tuning Large Language Models with Artificial Intelligence Knowledge. CoRR abs/2501.12877 (2025) - [i249]Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng:
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning. CoRR abs/2501.15103 (2025) - [i248]Zhiang Dong, Jingyuan Chen, Fei Wu:
Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis. CoRR abs/2502.05556 (2025) - [i247]Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang:
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. CoRR abs/2502.06876 (2025) - [i246]Yuting Huang, Chengyuan Liu, Yifeng Feng, Chao Wu, Fei Wu, Kun Kuang:
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. CoRR abs/2502.11084 (2025) - [i245]Congkai Xie, Shuo Cai, Wenjun Wang, Pengxiang Li, Zhijie Sang, Kejing Yang, Yiming Zhang, Zhen Li, Guanghao Zhu, Zeyu Liu, Yang Yu, Yuhang Liu, Su Lu, Baoyi He, Qi Zhou, Xiaotian Han, Jianbo Yuan, Shengyu Zhang, Fei Wu, Hongxia Yang:
InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning. CoRR abs/2502.11573 (2025) - [i244]Jia Yu, Yan Zhu, Peiyao Fu, Tianyi Chen, Junbo Huang, Quanlin Li, Pinghong Zhou, Zhihua Wang, Fei Wu, Shuo Wang, Xian Yang:
Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models. CoRR abs/2502.17951 (2025) - [i243]Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang:
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning. CoRR abs/2503.00986 (2025) - [i242]Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu:
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. CoRR abs/2503.08223 (2025) - [i241]Zeke Wang, Jie Zhang, Hongjing Huang, Yingtao Li, Xueying Zhu, Mo Sun, Zihan Yang, De Ma, Huajin Tang, Gang Pan, Fei Wu, Bingsheng He, Gustavo Alonso:
FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. CoRR abs/2503.09318 (2025) - [i240]Yaoyao Yu, Leilei Gan, Yinghao Hu, Bin Wei, Kun Kuang, Fei Wu:
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond. CoRR abs/2503.16040 (2025) - [i239]Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang, Fei Wu, Tat-Seng Chua, Yueting Zhuang:
Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program. CoRR abs/2504.06606 (2025) - [i238]Chengyuan Liu, Shihang Wang, Lizhi Qing, Kaisong Song, Junjie Cao, Jun Lin, Ji Zhang, Ang Li, Kun Kuang, Fei Wu:
Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement. CoRR abs/2504.09058 (2025) - [i237]Yuhang Liu, Pengxiang Li, Congkai Xie, Xavier Hu, Xiaotian Han, Shengyu Zhang, Hongxia Yang, Fei Wu:
InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners. CoRR abs/2504.14239 (2025) - [i236]Wang Lin, Liyu Jia, Wentao Hu, Kaihang Pan, Zhongqi Yue, Wei Zhao, Jingyuan Chen, Fei Wu, Hanwang Zhang:
Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning. CoRR abs/2504.15932 (2025) - [i235]Wenyi Xiao, Leilei Gan, Weilong Dai, Wanggui He, Ziwei Huang, Haoyuan Li, Fangxun Shu, Zhelun Yu, Peng Zhang, Hao Jiang, Fei Wu:
Fast-Slow Thinking for Large Vision-Language Model Reasoning. CoRR abs/2504.18458 (2025) - [i234]Biao Yi, Xavier Hu, Yurun Chen, Shengyu Zhang, Hongxia Yang, Fan Wu, Fei Wu:
EcoAgent: An Efficient Edge-Cloud Collaborative Multi-Agent Framework for Mobile Automation. CoRR abs/2505.05440 (2025) - [i233]Yanggan Gu, Zhaoyi Yan, Yuanyi Wang, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang:
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models. CoRR abs/2505.13878 (2025) - [i232]Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang:
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion. CoRR abs/2505.13893 (2025) - [i231]Qihang Yu, Kairui Fu, Shengyu Zhang, Zheqi Lv, Fan Wu, Fei Wu:
ThinkRec: Thinking-based recommendation via LLM. CoRR abs/2505.15091 (2025) - [i230]Yuting Huang, Meitong Guo, Yiquan Wu, Ang Li, Xiaozhong Liu, Keting Yin, Changlong Sun, Fei Wu, Kun Kuang:
AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios. CoRR abs/2505.16514 (2025) - [i229]Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu:
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents. CoRR abs/2505.19997 (2025) - [i228]Zheqi Lv, Junhao Chen, Qi Tian, Keting Yin, Shengyu Zhang, Fei Wu:
Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion. CoRR abs/2505.20053 (2025) - [i227]Zeyu Liu, Yuhang Liu, Guanghao Zhu, Congkai Xie, Zhen Li, Jianbo Yuan, Xinyao Wang, Qing Li, Shing-Chi Cheung, Shengyu Zhang, Fei Wu, Hongxia Yang:
Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models. CoRR abs/2505.23091 (2025) - [i226]Kaihang Pan, Yang Wu, Wendong Bu, Kai Shen, Juncheng Li, Yingting Wang, Yunfei Li, Siliang Tang, Jun Xiao, Fei Wu, Hang Zhao, Yueting Zhuang:
Unlocking Aha Moments via Reinforcement Learning: Advancing Collaborative Visual Comprehension and Generation. CoRR abs/2506.01480 (2025) - [i225]Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu:
Device-Cloud Collaborative Correction for On-Device Recommendation. CoRR abs/2506.12687 (2025) - 2024
- [j144]Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu:
Deconfounded hierarchical multi-granularity classification. Comput. Vis. Image Underst. 248: 104108 (2024) - [j143]Danyang Gao, Ming Kong, Yongrui Zhao, Jing Huang, Zhengxing Huang, Kun Kuang, Fei Wu, Qiang Zhu:
Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning. Medical Image Anal. 91: 102982 (2024) - [j142]Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li:
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1576-1588 (2024) - [j141]Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao:
Unified fair federated learning for digital healthcare. Patterns 5(1): 100907 (2024) - [j140]Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang:
Learning Individual Treatment Effects under Heterogeneous Interference in Networks. ACM Trans. Knowl. Discov. Data 18(8): 199:1-199:21 (2024) - [j139]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024) - [j138]Donghao Zhang, Zhenyu Liu, Weiqiang Jia, Fei Wu, Hui Liu, Jianrong Tan:
Dual Attention Graph Convolutional Network for Relation Extraction. IEEE Trans. Knowl. Data Eng. 36(2): 530-543 (2024) - [j137]Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang:
Out-of-Distribution Generalization With Causal Feature Separation. IEEE Trans. Knowl. Data Eng. 36(4): 1758-1772 (2024) - [j136]Jiannan Guo, Yangyang Kang, Xiaolin Li, Wenqiao Zhang, Kun Kuang, Changlong Sun, Siliang Tang, Fei Wu:
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36(11): 7268-7282 (2024) - [j135]Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes:
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4899-4901 (2024) - [j134]Wenwen Pan, Zhou Zhao, Wencan Huang, Zhu Zhang, Liyong Fu, Zhigeng Pan, Jun Yu, Fei Wu:
Video Moment Retrieval With Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6779-6791 (2024) - [j133]Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu:
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42(2): 43:1-43:31 (2024) - [j132]Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu:
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 103:1-103:27 (2024) - [c280]Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye:
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. AAAI 2024: 374-382 - [c279]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. AAAI 2024: 8320-8328 - [c278]Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang:
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI 2024: 17175-17183 - [c277]Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang:
De-biased Attention Supervision for Text Classification with Causality. AAAI 2024: 19279-19287 - [c276]Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu:
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) 2024: 4447-4462 - [c275]Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang:
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) 2024: 11385-11396 - [c274]Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai:
Enhancing Court View Generation with Knowledge Injection and Guidance. LREC/COLING 2024: 5896-5906 - [c273]Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu:
Evolving Knowledge Distillation with Large Language Models and Active Learning. LREC/COLING 2024: 6717-6731 - [c272]Ang Li, Qiangchao Chen, Yiquan Wu, Xiang Zhou, Kun Kuang, Fei Wu, Ming Cai:
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. LREC/COLING 2024: 7469-7479 - [c271]Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu:
MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization. CVPR 2024: 10682-10692 - [c270]Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang. ECCV (75) 2024: 253-269 - [c269]Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu:
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study. EMNLP 2024: 2784-2801 - [c268]Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu:
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. EMNLP 2024: 7442-7459 - [c267]Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu:
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. EMNLP 2024: 7531-7548 - [c266]Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu:
CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. EuroSys 2024: 441-455 - [c265]Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang:
Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. ICASSP 2024: 5640-5644 - [c264]Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang:
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. ICLR 2024 - [c263]Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu:
Active Retrosynthetic Planning Aware of Route Quality. ICLR 2024 - [c262]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR 2024 - [c261]Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu:
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. ICML 2024 - [c260]Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang:
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. ICML 2024 - [c259]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. ICML 2024 - [c258]Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu:
Learning Causal Relations from Subsampled Time Series with Two Time-Slices. ICML 2024 - [c257]Jun Yin, Keyang Wang, Fei Wu, Ming Shao:
Task-aware Disentanglement for Object Detection. IJCNN 2024: 1-8 - [c256]Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu:
Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection? ASE 2024: 1732-1744 - [c255]Zhouhang Yuan, Zhengqing Fang, Zhengxing Huang, Fei Wu, Yu-Feng Yao, Yingming Li:
Adapting Pre-trained Generative Model to Medical Image for Data Augmentation. MICCAI (5) 2024: 79-89 - [c254]Zhengyao Ding, Yujian Hu, Hongkun Zhang, Fei Wu, Shifeng Yang, Xiaolong Du, Yilang Xiang, Tian Li, Xuesen Chu, Zhengxing Huang:
Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images. MICCAI (7) 2024: 551-561 - [c253]Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu:
Semantic Alignment for Multimodal Large Language Models. ACM Multimedia 2024: 3489-3498 - [c252]Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu:
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. ACM Multimedia 2024: 3548-3557 - [c251]Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. ACM Multimedia 2024: 9611-9620 - [c250]Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang:
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. NAACL-HLT (Findings) 2024: 2782-2792 - [c249]Wang Lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu, Zehan Wang, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Action Imitation in Common Action Space for Customized Action Image Synthesis. NeurIPS 2024 - [c248]Wang Lin, Yueying Feng, WenKang Han, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen:
E3: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset. NeurIPS 2024 - [c247]Longfei Ma, Yiyou Sun, Kaize Ding, Zemin Liu, Fei Wu:
Revisiting Score Propagation in Graph Out-of-Distribution Detection. NeurIPS 2024 - [i224]Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu:
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR abs/2401.05319 (2024) - [i223]Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu:
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR abs/2401.05507 (2024) - [i222]Zhengqing Fang, Shuowen Zhou, Zhouhang Yuan, Yuxuan Si, Mengze Li, Jinxu Li, Yesheng Xu, Wenjia Xie, Kun Kuang, Yingming Li, Fei Wu, Yu-Feng Yao:
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence. CoRR abs/2401.08695 (2024) - [i221]Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu:
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR abs/2402.09997 (2024) - [i220]Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang:
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. CoRR abs/2402.12408 (2024) - [i219]Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang:
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR abs/2403.02624 (2024) - [i218]Ang Li, Yiquan Wu, Yifei Liu, Fei Wu, Ming Cai, Kun Kuang:
Enhancing Court View Generation with Knowledge Injection and Guidance. CoRR abs/2403.04366 (2024) - [i217]Ang Li, Qiangchao Chen, Yiquan Wu, Ming Cai, Xiang Zhou, Fei Wu, Kun Kuang:
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. CoRR abs/2403.04369 (2024) - [i216]Chengyuan Liu, Yangyang Kang, Fubang Zhao, Kun Kuang, Zhuoren Jiang, Changlong Sun, Fei Wu:
Evolving Knowledge Distillation with Large Language Models and Active Learning. CoRR abs/2403.06414 (2024) - [i215]Changyue Liao, Mo Sun, Zihan Yang, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang:
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU. CoRR abs/2403.06504 (2024) - [i214]Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang:
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. CoRR abs/2403.07030 (2024) - [i213]Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang:
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR abs/2403.14232 (2024) - [i212]Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang:
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. CoRR abs/2403.16854 (2024) - [i211]Kunxi Li, Tianyu Zhan, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fei Wu:
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities. CoRR abs/2404.13322 (2024) - [i210]Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu:
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. CoRR abs/2404.14037 (2024) - [i209]Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Hao Jiang, Fei Wu, Linchao Zhu:
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. CoRR abs/2404.14233 (2024) - [i208]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR abs/2404.19644 (2024) - [i207]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. CoRR abs/2405.06914 (2024) - [i206]Hongsheng Wang, Weiyue Zhang, Sihao Liu, Xinrui Zhou, Shengyu Zhang, Fei Wu, Feng Lin:
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery. CoRR abs/2405.12477 (2024) - [i205]Hongsheng Wang, Nanjie Yao, Xinrui Zhou, Shengyu Zhang, Huahao Xu, Fei Wu, Feng Lin:
NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction. CoRR abs/2405.12505 (2024) - [i204]Hongsheng Wang, Lizao Zhang, Zhangnan Zhong, Shuolin Xu, Xinrui Zhou, Shengyu Zhang, Huahao Xu, Fei Wu, Feng Lin:
RemoCap: Disentangled Representation Learning for Motion Capture. CoRR abs/2405.12724 (2024) - [i203]Hongsheng Wang, Xiang Cai, Xi Sun, Jinhong Yue, Shengyu Zhang, Feng Lin, Fei Wu:
MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video. CoRR abs/2405.12806 (2024) - [i202]Hongsheng Wang, Yang Wang, Yalan Liu, Fayuan Hu, Shengyu Zhang, Fei Wu, Feng Lin:
NieR: Normal-Based Lighting Scene Rendering. CoRR abs/2405.13097 (2024) - [i201]Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li:
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. CoRR abs/2405.14314 (2024) - [i200]Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu:
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. CoRR abs/2405.17830 (2024) - [i199]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR abs/2405.20626 (2024) - [i198]Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao:
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR abs/2406.11633 (2024) - [i197]Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu:
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR abs/2406.16989 (2024) - [i196]Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang:
Causal Inference with Complex Treatments: A Survey. CoRR abs/2407.14022 (2024) - [i195]Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. CoRR abs/2408.00123 (2024) - [i194]Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu:
Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection? CoRR abs/2408.04863 (2024) - [i193]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Xiangwei Chen, Zexu Sun, Fei Wu, Kun Zhang:
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression. CoRR abs/2408.05428 (2024) - [i192]Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu:
Causal Agent based on Large Language Model. CoRR abs/2408.06849 (2024) - [i191]Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu:
Semantic Alignment for Multimodal Large Language Models. CoRR abs/2408.12867 (2024) - [i190]Mo Sun, Zihan Yang, Changyue Liao, Yingtao Li, Fei Wu, Zeke Wang:
LuWu: An End-to-End In-Network Out-of-Core Optimizer for 100B-Scale Model-in-Network Data-Parallel Training on Distributed GPUs. CoRR abs/2409.00918 (2024) - [i189]Chengyuan Liu, Shihang Wang, Fubang Zhao, Kun Kuang, Yangyang Kang, Weiming Lu, Changlong Sun, Fei Wu:
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU. CoRR abs/2409.05275 (2024) - [i188]Zihan Huang, Tao Wu, Wang Lin, Shengyu Zhang, Jingyuan Chen, Fei Wu:
AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding. CoRR abs/2409.09039 (2024) - [i187]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. CoRR abs/2409.16167 (2024) - [i186]Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu:
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. CoRR abs/2410.01188 (2024) - [i185]Huangsen Cao, Yongwei Wang, Yinfeng Liu, Sixian Zheng, Kangtao Lv, Zhimeng Zhang, Bo Zhang, Xin Ding, Fei Wu:
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs. CoRR abs/2410.06044 (2024) - [i184]Yihuai Xu, Yongwei Wang, Yifei Bi, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu:
Training-free LLM-generated Text Detection by Mining Token Probability Sequences. CoRR abs/2410.06072 (2024) - [i183]Yiming Zhang, Baoyi He, Shengyu Zhang, Yuhao Fu, Qi Zhou, Zhijie Sang, Zijin Hong, Kejing Yang, Wenjun Wang, Jianbo Yuan, Guanghan Ning, Linyi Li, Chunlin Ji, Fei Wu, Hongxia Yang:
Unconstrained Model Merging for Enhanced LLM Reasoning. CoRR abs/2410.13699 (2024) - [i182]Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu:
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. CoRR abs/2410.13910 (2024) - [i181]Lina Gong, Qi Gao, Peng Li, Mingqiang Wei, Fei Wu:
Efficient Deep Learning Board: Training Feedback Is Not All You Need. CoRR abs/2410.14743 (2024) - [i180]Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang:
Causality for Large Language Models. CoRR abs/2410.15319 (2024) - [i179]Wenyi Xiao, Zechuan Wang, Leilei Gan, Shuai Zhao, Wanggui He, Luu Anh Tuan, Long Chen, Hao Jiang, Zhou Zhao, Fei Wu:
A Comprehensive Survey of Datasets, Theories, Variants, and Applications in Direct Preference Optimization. CoRR abs/2410.15595 (2024) - [i178]Yuhang Liu, Xueyu Hu, Shengyu Zhang, Jingyuan Chen, Fan Wu, Fei Wu:
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation. CoRR abs/2411.03957 (2024) - [i177]Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Long Chan, Hao Jiang, Leilei Gan, Fei Wu:
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts. CoRR abs/2412.04300 (2024) - [i176]Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang:
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator. CoRR abs/2412.09280 (2024) - [i175]Shuhe Wang, Shengyu Zhang, Jie Zhang, Runyi Hu, Xiaoya Li, Tianwei Zhang, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy:
Reinforcement Learning Enhanced LLMs: A Survey. CoRR abs/2412.10400 (2024) - [i174]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. CoRR abs/2412.18904 (2024) - 2023
- [j131]Chun He, Xinhai Ye, Yi Yang, Liya Hu, Yuxuan Si, Xianxin Zhao, Longfei Chen, Qi Fang, Ying Wei, Fei Wu, Gongyin Ye:
DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins. Briefings Bioinform. 24(4) (2023) - [j130]Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu:
Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. 37(1): 205-227 (2023) - [j129]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131(2): 552-571 (2023) - [j128]Zhedong Zheng, Liang Zheng, Yi Yang, Fei Wu:
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. Int. J. Comput. Vis. 131(4): 835-854 (2023) - [j127]Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li:
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24(8): 1181-1193 (2023) - [j126]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu:
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24(10): 1390-1402 (2023) - [j125]Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10285-10299 (2023) - [j124]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12601-12617 (2023) - [j123]Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu:
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143: 109750 (2023) - [j122]Gang Huang, Zhou Zhou, Fei Wu, Wei Hua:
Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 19(6): 7312-7322 (2023) - [j121]Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang:
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17(8): 118:1-118:21 (2023) - [j120]Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu:
Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(5): 4989-5001 (2023) - [j119]Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li:
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35(6): 6392-6404 (2023) - [j118]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [j117]Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang:
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. 35(12): 12528-12541 (2023) - [j116]Xiaohan Wang, Linchao Zhu, Fei Wu, Yi Yang:
A Differentiable Parallel Sampler for Efficient Video Classification. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 112:1-112:18 (2023) - [c246]Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang:
Learning Chemical Rules of Retrosynthesis with Pre-training. AAAI 2023: 5113-5121 - [c245]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu:
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI 2023: 10324-10332 - [c244]Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Video-Audio Domain Generalization via Confounder Disentanglement. AAAI 2023: 15322-15330 - [c243]Mengze Li, Tianbao Wang, Jiahe Xu, Kairong Han, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Shiliang Pu, Fei Wu:
Multi-modal Action Chain Abductive Reasoning. ACL (1) 2023: 4617-4628 - [c242]Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang:
Focus-aware Response Generation in Inquiry Conversation. ACL (Findings) 2023: 12585-12599 - [c241]Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu:
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. CICAI (2) 2023: 3-14 - [c240]Liya Hu, Xinyi Yang, Yuxuan Si, Jingyuan Chen, Xinhai Ye, Zhihua Wang, Fei Wu:
Attention-Based RNA Secondary Structure Prediction. CICAI (2) 2023: 399-410 - [c239]Kairui Fu, Qiaowei Miao, Shengyu Zhang, Kun Kuang, Fei Wu:
End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation. CICAI (1) 2023: 415-429 - [c238]Yujie Lu, Yingxuan Huang, Shengyu Zhang, Wei Han, Hui Chen, Wenyan Fan, Jiangliang Lai, Zhou Zhao, Fei Wu:
Multi-trends Enhanced Dynamic Micro-video Recommendation. CICAI (1) 2023: 430-441 - [c237]Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu:
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. CICAI (1) 2023: 442-459 - [c236]Pengcheng Zhang, Wenrui Liu, Ning Wang, Ran Shen, Gang Sun, Xinghua Jiang, Zheqian Chen, Fei Wu, Zhou Zhao:
Sequential Style Consistency Learning for Domain-Generalizable Text Recognition. CICAI (1) 2023: 493-504 - [c235]Mengze Li, Han Wang, Wenqiao Zhang, Jiaxu Miao, Zhou Zhao, Shengyu Zhang, Wei Ji, Fei Wu:
WINNER: Weakly-supervised hIerarchical decompositioN and aligNment for spatio-tEmporal video gRounding. CVPR 2023: 23090-23099 - [c234]Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos. CVPR 2023: 23191-23200 - [c233]Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang:
Text Classification via Large Language Models. EMNLP (Findings) 2023: 8990-9005 - [c232]Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv, Zhou Zhao, Shengyu Zhang, Wenqiao Zhang, Fei Wu:
ART: rule bAsed futuRe-inference deducTion. EMNLP 2023: 9512-9522 - [c231]Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang:
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. EMNLP 2023: 12060-12075 - [c230]Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Anh Tuan Luu, Yi Yang, Fei Wu:
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction. EMNLP (Findings) 2023: 12174-12185 - [c229]Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu:
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. EMNLP (Findings) 2023: 15342-15359 - [c228]Chenye Cui, Zhou Zhao, Yi Ren, Jinglin Liu, Rongjie Huang, Feiyang Chen, Zhefeng Wang, Baoxing Huai, Fei Wu:
VarietySound: Timbre-Controllable Video to Sound Generation Via Unsupervised Information Disentanglement. ICASSP 2023: 1-5 - [c227]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c226]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu:
Stable Estimation of Heterogeneous Treatment Effects. ICML 2023: 37496-37510 - [c225]Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan:
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD 2023: 531-543 - [c224]Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang:
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD 2023: 2189-2200 - [c223]Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu:
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD 2023: 49-74 - [c222]Tianqi Zhao, Ming Kong, Tian Liang, Qiang Zhu, Kun Kuang, Fei Wu:
CLAP: Contrastive Language-Audio Pre-training Model for Multi-modal Sentiment Analysis. ICMR 2023: 622-626 - [c221]Yuqing Zhang, Zhou Fang, Xinyu Yang, Shengyu Zhang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. ACM Multimedia 2023: 1157-1166 - [c220]Mengze Li, Haoyu Zhang, Juncheng Li, Zhou Zhao, Wenqiao Zhang, Shengyu Zhang, Shiliang Pu, Yueting Zhuang, Fei Wu:
Unsupervised Domain Adaptation for Video Object Grounding with Cascaded Debiasing Learning. ACM Multimedia 2023: 3807-3816 - [c219]Haonan Shi, Wenwen Pan, Zhou Zhao, Mingmin Zhang, Fei Wu:
Unsupervised Domain Adaptation for Referring Semantic Segmentation. ACM Multimedia 2023: 5807-5818 - [c218]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia 2023: 8304-8315 - [c217]Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu, Jun Xiao, Long Chen:
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning. NeurIPS 2023 - [c216]Liya Hu, Zhiang Dong, Jingyuan Chen, Guifeng Wang, Zhihua Wang, Zhou Zhao, Fei Wu:
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios. NeurIPS 2023 - [c215]Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang:
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. NeurIPS 2023 - [c214]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. SIGIR 2023: 453-463 - [c213]Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang:
ML-LJP: Multi-Law Aware Legal Judgment Prediction. SIGIR 2023: 1023-1034 - [c212]Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu:
Alleviating Matching Bias in Marketing Recommendations. SIGIR 2023: 3359-3363 - [c211]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. USENIX ATC 2023: 165-179 - [c210]Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu:
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW 2023: 165-176 - [c209]Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu:
A Practical Rule Learning Framework for Risk Management. WWW (Companion Volume) 2023: 442-446 - [c208]Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu:
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. WWW (Companion Volume) 2023: 447-451 - [c207]Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu:
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW 2023: 3077-3085 - [i173]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. CoRR abs/2301.09071 (2023) - [i172]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i171]Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu:
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR abs/2302.07335 (2023) - [i170]Jiong Wang, Zhou Zhao, Fei Wu:
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary. CoRR abs/2304.06249 (2023) - [i169]Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang:
GPT-NER: Named Entity Recognition via Large Language Models. CoRR abs/2304.10428 (2023) - [i168]Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Fei Wu, Kun Kuang:
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. CoRR abs/2304.14770 (2023) - [i167]Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu:
Denoising Multi-modal Sequential Recommenders with Contrastive Learning. CoRR abs/2305.01915 (2023) - [i166]Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos. CoRR abs/2305.02519 (2023) - [i165]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR abs/2305.04466 (2023) - [i164]Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang:
Text Classification via Large Language Models. CoRR abs/2305.08377 (2023) - [i163]Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang:
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. CoRR abs/2305.15889 (2023) - [i162]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. CoRR abs/2305.16588 (2023) - [i161]Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang:
Pushing the Limits of ChatGPT on NLP Tasks. CoRR abs/2306.09719 (2023) - [i160]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. CoRR abs/2307.09775 (2023) - [i159]Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu:
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series. CoRR abs/2308.08148 (2023) - [i158]Junao Shen, Long Chen, Kun Kuang, Fei Wu, Tian Feng, Wei Zhang:
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation. CoRR abs/2308.08213 (2023) - [i157]Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, Guoyin Wang:
Instruction Tuning for Large Language Models: A Survey. CoRR abs/2308.10792 (2023) - [i156]Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu:
A Chinese Prompt Attack Dataset for LLMs with Evil Content. CoRR abs/2309.11830 (2023) - [i155]Jie Sun, Mo Sun, Zheng Zhang, Jun Xie, Zuocheng Shi, Zihan Yang, Jie Zhang, Fei Wu, Zeke Wang:
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance. CoRR abs/2310.00837 (2023) - [i154]Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang:
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. CoRR abs/2310.09241 (2023) - [i153]Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang:
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. CoRR abs/2310.20695 (2023) - [i152]Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, Guoyin Wang:
Sentiment Analysis through LLM Negotiations. CoRR abs/2311.01876 (2023) - [i151]Shuhe Wang, Beiming Cao, Shengyu Zhang, Xiaoya Li, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy:
Sim-GPT: Text Similarity via GPT Annotated Data. CoRR abs/2312.05603 (2023) - [i150]Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Xinhai Ye, Zhihua Wang, Fei Wu:
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. CoRR abs/2312.10900 (2023) - [i149]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Graph Neural Network. CoRR abs/2312.12475 (2023) - 2022
- [j115]Ming Kong, Qing Guo, Shuowen Zhou, Mengze Li, Kun Kuang, Zhengxing Huang, Fei Wu, Xiaohong Chen, Qiang Zhu:
Attribute-aware interpretation learning for thyroid ultrasound diagnosis. Artif. Intell. Medicine 131: 102344 (2022) - [j114]Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Fei Wu, Yi Yang, Wenwu Zhu, Yueting Zhuang:
NAP: Neural architecture search with pruning. Neurocomputing 477: 85-95 (2022) - [j113]Tao Jin, Zhou Zhao, Peng Wang, Jun Yu, Fei Wu:
Interaction augmented transformer with decoupled decoding for video captioning. Neurocomputing 492: 496-507 (2022) - [j112]Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Fei Wu, Xi Li:
Structure-conditioned adversarial learning for unsupervised domain adaptation. Neurocomputing 497: 216-226 (2022) - [j111]Bin Wei, Kun Kuang, Changlong Sun, Jun Feng, Yating Zhang, Xinli Zhu, Jianghong Zhou, Yinsheng Zhai, Fei Wu:
A full-process intelligent trial system for smart court. Frontiers Inf. Technol. Electron. Eng. 23(2): 186-206 (2022) - [j110]Gang Huang, Fei Wu, Chuangxin Guo:
Smart grid dispatch powered by deep learning: a survey. Frontiers Inf. Technol. Electron. Eng. 23(5): 763-776 (2022) - [j109]Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping Into Compressed-Domain Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1591-1603 (2022) - [j108]Fei Wu, Junchan Wang, Yuzhuang Zhou, Xiaoxin Song, Chengxin Ju, Chengming Sun, Tao Liu:
Estimation of Winter Wheat Tiller Number Based on Optimization of Gradient Vegetation Characteristics. Remote. Sens. 14(6): 1338 (2022) - [j107]Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan:
Sentence Similarity Based on Contexts. Trans. Assoc. Comput. Linguistics 10: 573-588 (2022) - [j106]Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang:
SemGloVe: Semantic Co-Occurrences for GloVe From BERT. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2696-2704 (2022) - [j105]Pengcheng Zhang, Zhou Zhao, Nannan Wang, Jun Yu, Fei Wu:
Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(10): 7133-7146 (2022) - [j104]Weichao Li, Xi Li, Omar El Farouk Bourahla, Fuxian Huang, Fei Wu, Wei Liu, Hongmin Liu:
Progressive Multistage Learning for Discriminative Tracking. IEEE Trans. Cybern. 52(5): 3519-3530 (2022) - [j103]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. IEEE Trans. Image Process. 31: 1107-1119 (2022) - [j102]Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang:
Balance-Subsampled Stable Prediction Across Unknown Test Data. ACM Trans. Knowl. Discov. Data 16(3): 45:1-45:21 (2022) - [j101]Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data 16(4): 74:1-74:20 (2022) - [j100]Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang:
Data-Driven Variable Decomposition for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 34(5): 2120-2134 (2022) - [j99]Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li:
Memory-Efficient Class-Incremental Learning for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5966-5977 (2022) - [c206]Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li:
Fast Nearest Neighbor Machine Translation. ACL (Findings) 2022: 555-565 - [c205]Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li:
Dependency Parsing as MRC-based Span-Span Prediction. ACL (1) 2022: 2427-2437 - [c204]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Wenming Tan, Jin Wang, Peng Wang, Shiliang Pu, Fei Wu:
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding. ACL (1) 2022: 8707-8717 - [c203]Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu:
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. CICAI (2) 2022: 95-111 - [c202]Siying Zhou, Yifei Liu, Yiquan Wu, Kun Kuang, Chunyan Zheng, Fei Wu:
Similar Case Based Prison Term Prediction. CICAI (3) 2022: 284-297 - [c201]Tianqi Zhao, Ming Kong, Kun Kuang, Zhengxing Huang, Qiang Zhu, Fei Wu:
Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis. CICAI (2) 2022: 362-374 - [c200]Xiaofei Sun, Yufei Tian, Yuxian Meng, Nanyun Peng, Fei Wu, Jiwei Li, Chun Fan:
Paraphrase Generation as Unsupervised Machine Translation. COLING 2022: 6379-6391 - [c199]Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian:
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. CVPR 2022: 1310-1321 - [c198]Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang:
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. CVPR 2022: 3022-3031 - [c197]Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu:
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. CVPR 2022: 20921-20930 - [c196]Yiquan Wu, Yifei Liu, Weiming Lu, Yating Zhang, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang:
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework. EMNLP 2022: 4787-4799 - [c195]Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu:
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. EMNLP 2022: 5499-5512 - [c194]Yuxuan Si, Zhengqing Fang, Kun Kuang, Zhengxing Huang, Yu-Feng Yao, Fei Wu:
Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis. ICIP 2022: 3893-3897 - [c193]Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li:
GNN-LM: Language Modeling based on Global Contexts via GNN. ICLR 2022 - [c192]Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei:
The Role of Deconfounding in Meta-learning. ICML 2022: 10161-10176 - [c191]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao:
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning. ICML 2022: 12843-12856 - [c190]Anpeng Wu, Kun Kuang, Bo Li, Fei Wu:
Instrumental Variable Regression with Confounder Balancing. ICML 2022: 24056-24075 - [c189]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. IJCAI 2022: 3795-3801 - [c188]Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu:
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech. IJCAI 2022: 4468-4474 - [c187]Yuxiao Lin, Zhihao Du, Shiliang Zhang, Fan Yu, Zhou Zhao, Fei Wu:
Separate-to-Recognize: Joint Multi-target Speech Separation and Speech Recognition for Speaker-attributed ASR. ISCSLP 2022: 150-154 - [c186]Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang:
Estimating Individualized Causal Effect with Confounded Instruments. KDD 2022: 1857-1867 - [c185]Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu:
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. KDD 2022: 2935-2945 - [c184]Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. KDD 2022: 3772-3782 - [c183]Ming Kong, Zhengxing Huang, Kun Kuang, Qiang Zhu, Fei Wu:
TranSQ: Transformer-Based Semantic Query for Medical Report Generation. MICCAI (8) 2022: 610-620 - [c182]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. ACM Multimedia 2022: 2361-2370 - [c181]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Wenqiao Zhang, Jiaxu Miao, Shiliang Pu, Fei Wu:
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding. ACM Multimedia 2022: 3801-3810 - [c180]Ziqi Jiang, Shengyu Zhang, Siyuan Yao, Wenqiao Zhang, Sihan Zhang, Juncheng Li, Zhou Zhao, Fei Wu:
Weakly-supervised Disentanglement Network for Video Fingerspelling Detection. ACM Multimedia 2022: 5446-5455 - [c179]Jiong Wang, Zhou Zhao, Fei Wu:
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary. ACM Multimedia 2022: 6125-6135 - [c178]Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, Chun Fan:
Triggerless Backdoor Attack for NLP Tasks with Clean Labels. NAACL-HLT 2022: 2942-2952 - [c177]Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. NeurIPS 2022 - [c176]Yemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu:
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy. NeurIPS 2022 - [c175]Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Bin Liu, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Tao Huang, Hui Shu, Jinde Song, Bin Zou, Peng Lan, Guohuan Xu, Fei Wu, Shaojie Tang, Fan Wu, Guihai Chen:
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. OSDI 2022: 249-265 - [c174]Zeke Wang, Hongjing Huang, Jie Zhang, Fei Wu, Gustavo Alonso:
FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs. USENIX ATC 2022: 967-986 - [c173]Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu:
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. WSDM 2022: 997-1006 - [c172]Mengying Zhu, Yan Wang, Fei Wu, Mengyuan Yang, Cheng Chen, Qianqiao Liang, Xiaolin Zheng:
WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management. WWW (Companion Volume) 2022: 1-11 - [c171]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. WWW 2022: 2216-2226 - [i148]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. CoRR abs/2201.00100 (2022) - [i147]Dongqi Wang, Shengyu Zhang, Zhipeng Di, Xin Lin, Weihua Zhou, Fei Wu:
A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation. CoRR abs/2202.10461 (2022) - [i146]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Wenming Tan, Jin Wang, Peng Wang, Shiliang Pu, Fei Wu:
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding. CoRR abs/2203.08013 (2022) - [i145]Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang:
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. CoRR abs/2203.13049 (2022) - [i144]Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu:
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. CoRR abs/2203.15709 (2022) - [i143]Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu:
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech. CoRR abs/2204.11792 (2022) - [i142]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. CoRR abs/2204.13846 (2022) - [i141]Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Bin Liu, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Tao Huang, Hui Shu, Jinde Song, Bin Zou, Peng Lan, Guohuan Xu, Fei Wu, Shaojie Tang, Fan Wu, Guihai Chen:
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. CoRR abs/2205.14833 (2022) - [i140]Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu:
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. CoRR abs/2206.03288 (2022) - [i139]Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. CoRR abs/2206.12296 (2022) - [i138]Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang:
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR abs/2206.14366 (2022) - [i137]Zhanzhan Cheng, Peng Zhang, Can Li, Liang Qiao, Yunlu Xu, Pengfei Li, Shiliang Pu, Yi Niu, Fei Wu:
TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents. CoRR abs/2207.06744 (2022) - [i136]Guimei Cao, Zhanzhan Cheng, Yunlu Xu, Duo Li, Shiliang Pu, Yi Niu, Fei Wu:
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network. CoRR abs/2207.06754 (2022) - [i135]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. CoRR abs/2208.03644 (2022) - [i134]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Wenqiao Zhang, Jiaxu Miao, Shiliang Pu, Fei Wu:
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding. CoRR abs/2208.05818 (2022) - [i133]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. CoRR abs/2208.08011 (2022) - [i132]Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu:
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. CoRR abs/2208.08024 (2022) - [i131]Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu:
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. CoRR abs/2208.09130 (2022) - [i130]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu:
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR abs/2208.10912 (2022) - [i129]Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu:
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR abs/2209.05227 (2022) - [i128]Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu:
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. CoRR abs/2210.08548 (2022) - [i127]Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu:
Learning Individual Treatment Effects under Heterogeneous Interference in Networks. CoRR abs/2210.14080 (2022) - [i126]Leilei Gan, Baokui Li, Kun Kuang, Yi Yang, Fei Wu:
Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction. CoRR abs/2211.08238 (2022) - [i125]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu:
Confounder Balancing for Instrumental Variable Regression with Latent Variable. CoRR abs/2211.10008 (2022) - [i124]Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. CoRR abs/2212.01767 (2022) - [i123]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu:
Instrumental Variables in Causal Inference and Machine Learning: A Survey. CoRR abs/2212.05778 (2022) - 2021
- [j98]Fei Wu, Qinming He, Chao Wu:
AI+X micro-program fosters interdisciplinary skills in China. Commun. ACM 64(11): 52-54 (2021) - [j97]Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu:
Continuous treatment effect estimation via generative adversarial de-confounding. Data Min. Knowl. Discov. 35(6): 2467-2497 (2021) - [j96]Zhanzhan Cheng, Jing Lu, Baorui Zou, Liang Qiao, Yunlu Xu, Shiliang Pu, Yi Niu, Fei Wu, Shuigeng Zhou:
FREE: A Fast and Robust End-to-End Video Text Spotter. IEEE Trans. Image Process. 30: 822-837 (2021) - [j95]Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, Fei Wu:
Learning to Anticipate Egocentric Actions by Imagination. IEEE Trans. Image Process. 30: 1143-1152 (2021) - [j94]Ke Ning, Lingxi Xie, Jianzhuang Liu, Fei Wu, Qi Tian:
Interaction-Integrated Network for Natural Language Moment Localization. IEEE Trans. Image Process. 30: 2538-2548 (2021) - [j93]Mao Gu, Zhou Zhao, Weike Jin, Richang Hong, Fei Wu:
Graph-Based Multi-Interaction Network for Video Question Answering. IEEE Trans. Image Process. 30: 2758-2770 (2021) - [j92]Xuewei Li, Songyuan Li, Bourahla Omar, Fei Wu, Xi Li:
ResKD: Residual-Guided Knowledge Distillation. IEEE Trans. Image Process. 30: 4735-4746 (2021) - [j91]Youjiang Xu, Linchao Zhu, Yi Yang, Fei Wu:
Training Robust Object Detectors From Noisy Category Labels and Imprecise Bounding Boxes. IEEE Trans. Image Process. 30: 5782-5792 (2021) - [j90]Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang:
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks. IEEE Trans. Knowl. Data Eng. 33(1): 169-179 (2021) - [j89]Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu, Yueting Zhuang, Junwei Han, Mingliang Xu:
End-to-End Video Saliency Detection via a Deep Contextual Spatiotemporal Network. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1691-1702 (2021) - [j88]Jun Song, Yueyang Wang, Siliang Tang, Yin Zhang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, Fei Wu:
Local-Global Memory Neural Network for Medication Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1723-1736 (2021) - [c170]Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter. AAAI 2021: 2467-2476 - [c169]Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou:
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition. AAAI 2021: 3305-3314 - [c168]Leilei Gan, Kun Kuang, Yi Yang, Fei Wu:
Judgment Prediction via Injecting Legal Knowledge into Neural Networks. AAAI 2021: 12866-12874 - [c167]Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu:
Web-based Platform for K-12 AI Education in China. AAAI 2021: 15687-15694 - [c166]Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). AAAI 2021: 15945-15946 - [c165]Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu:
BertGCN: Transductive Text Classification by Combining GNN and BERT. ACL/IJCNLP (Findings) 2021: 1456-1462 - [c164]Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li:
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. ACL/IJCNLP (1) 2021: 2065-2075 - [c163]Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang:
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. ACL/IJCNLP (1) 2021: 6191-6200 - [c162]Ziyu Zhao, Kun Kuang, Fei Wu:
Estimating Treatment Effect via Differentiated Confounder Matching. CICAI 2021: 689-699 - [c161]Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu:
DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality. CVPR Workshops 2021: 1744-1747 - [c160]Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded, Controllable and Debiased Image Completion With Lexical Semantics. CVPR Workshops 2021: 1748-1751 - [c159]Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. EMNLP (1) 2021: 2551-2562 - [c158]Chun Fan, Jiwei Li, Tianwei Zhang, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun:
Layer-wise Model Pruning based on Mutual Information. EMNLP (1) 2021: 3079-3090 - [c157]Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang:
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection. EMNLP (1) 2021: 3102-3115 - [c156]Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li:
FcaNet: Frequency Channel Attention Networks. ICCV 2021: 763-772 - [c155]Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang:
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. ICCV 2021: 1847-1857 - [c154]Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang:
Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels. ICCV 2021: 2876-2885 - [c153]Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, Shiliang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu:
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment. ICDAR (1) 2021: 99-114 - [c152]Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu:
VSR: A Unified Framework for Document Layout Analysis Combining Vision, Semantics and Relations. ICDAR (1) 2021: 115-130 - [c151]Hui Jiang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan:
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition. ICDAR (1) 2021: 287-303 - [c150]Zhanzhan Cheng, Jing Lu, Baorui Zou, Shuigeng Zhou, Fei Wu:
ICDAR 2021 Competition on Scene Video Text Spotting. ICDAR (4) 2021: 650-662 - [c149]Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen:
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. ICML 2021: 3274-3283 - [c148]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. KDD 2021: 934-942 - [c147]Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang:
Analysis and Applications of Class-wise Robustness in Adversarial Training. KDD 2021: 1561-1570 - [c146]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia 2021: 3881-3890 - [c145]Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Kun Kuang, Di Xie, Fei Wu:
MGD-GAN: Text-to-Pedestrian Generation Through Multi-grained Discrimination. PRCV (2) 2021: 662-673 - [c144]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. SIGIR 2021: 367-377 - [c143]Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu:
Future-Aware Diverse Trends Framework for Recommendation. WWW 2021: 2992-3001 - [e6]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13019, Springer 2021, ISBN 978-3-030-88003-3 [contents] - [e5]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13020, Springer 2021, ISBN 978-3-030-88006-4 [contents] - [e4]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 13021, Springer 2021, ISBN 978-3-030-88009-5 [contents] - [e3]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 13022, Springer 2021, ISBN 978-3-030-88012-5 [contents] - [i122]Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li:
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios. CoRR abs/2101.01394 (2021) - [i121]Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, Fei Wu:
Learning to Anticipate Egocentric Actions by Imagination. CoRR abs/2101.04924 (2021) - [i120]Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li:
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning. CoRR abs/2103.02808 (2021) - [i119]Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. CoRR abs/2104.00305 (2021) - [i118]Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu:
BertGCN: Transductive Text Classification by Combining GCN and BERT. CoRR abs/2105.05727 (2021) - [i117]Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu:
VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations. CoRR abs/2105.06220 (2021) - [i116]Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, Shiliang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu:
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment. CoRR abs/2105.06224 (2021) - [i115]Hui Jiang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan:
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition. CoRR abs/2105.06229 (2021) - [i114]Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan:
Sentence Similarity Based on Contexts. CoRR abs/2105.07623 (2021) - [i113]Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li:
Dependency Parsing as MRC-based Span-Span Prediction. CoRR abs/2105.07654 (2021) - [i112]Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu:
Federated Graph Learning - A Position Paper. CoRR abs/2105.11099 (2021) - [i111]Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang:
Analysis and Applications of Class-wise Robustness in Adversarial Training. CoRR abs/2105.14240 (2021) - [i110]Shuhe Wang, Yuxian Meng, Xiaofei Sun, Fei Wu, Rongbin Ouyang, Rui Yan, Tianwei Zhang, Jiwei Li:
Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation. CoRR abs/2105.14445 (2021) - [i109]Chun Fan, Yuxian Meng, Xiaofei Sun, Fei Wu, Tianwei Zhang, Jiwei Li:
Parameter Estimation for the SEIR Model Using Recurrent Nets. CoRR abs/2105.14524 (2021) - [i108]Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li:
Fast Nearest Neighbor Machine Translation. CoRR abs/2105.14528 (2021) - [i107]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. CoRR abs/2106.00285 (2021) - [i106]Chun Fan, Xiaoya Li, Yuxian Meng, Xiaofei Sun, Xiang Ao, Fei Wu, Jiwei Li, Tianwei Zhang:
Defending against Backdoor Attacks in Natural Language Generation. CoRR abs/2106.01810 (2021) - [i105]Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang:
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. CoRR abs/2106.10855 (2021) - [i104]Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li:
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. CoRR abs/2106.16038 (2021) - [i103]Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR abs/2107.05884 (2021) - [i102]Zhanzhan Cheng, Jing Lu, Baorui Zou, Shuigeng Zhou, Fei Wu:
ICDAR 2021 Competition on Scene Video Text Spotting. CoRR abs/2107.11919 (2021) - [i101]Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang:
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. CoRR abs/2107.12270 (2021) - [i100]Chun Fan, Jiwei Li, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun:
Layer-wise Model Pruning based on Mutual Information. CoRR abs/2108.12594 (2021) - [i99]Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang:
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection. CoRR abs/2108.12731 (2021) - [i98]Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. CoRR abs/2109.00363 (2021) - [i97]Chun Fan, Yufei Tian, Yuxian Meng, Nanyun Peng, Xiaofei Sun, Fei Wu, Jiwei Li:
Paraphrase Generation as Unsupervised Machine Translation. CoRR abs/2109.02950 (2021) - [i96]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. CoRR abs/2109.05261 (2021) - [i95]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. CoRR abs/2109.12651 (2021) - [i94]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. CoRR abs/2110.00726 (2021) - [i93]Shengyu Zhang, Kun Kuang, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu:
Stable Prediction on Graphs with Agnostic Distribution Shift. CoRR abs/2110.03865 (2021) - [i92]Yujie Lu, Yingxuan Huang, Shengyu Zhang, Wei Han, Hui Chen, Zhou Zhao, Fei Wu:
Multi-trends Enhanced Dynamic Micro-video Recommendation. CoRR abs/2110.03902 (2021) - [i91]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Do We Need to Directly Access the Source Datasets for Domain Generalization? CoRR abs/2110.06736 (2021) - [i90]Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li:
GNN-LM: Language Modeling based on Global Contexts via GNN. CoRR abs/2110.08743 (2021) - [i89]Leilei Gan, Yating Zhang, Kun Kuang, Lin Yuan, Shuo Li, Changlong Sun, Xiaozhong Liu, Fei Wu:
Dialogue Inspectional Summarization with Factual Inconsistency Awareness. CoRR abs/2111.03284 (2021) - [i88]Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao:
Unified Group Fairness on Federated Learning. CoRR abs/2111.04986 (2021) - [i87]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR abs/2111.06061 (2021) - [i86]Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Shangwei Guo, Chun Fan:
Triggerless Backdoor Attack for NLP Tasks with Clean Labels. CoRR abs/2111.07970 (2021) - [i85]Xiaofei Sun, Jiwei Li, Xiaoya Li, Ziyao Wang, Tianwei Zhang, Han Qiu, Fei Wu, Chun Fan:
A General Framework for Defending Against Backdoor Attacks via Influence Graph. CoRR abs/2111.14309 (2021) - [i84]Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu:
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth. CoRR abs/2112.10374 (2021) - 2020
- [j87]Fei Wu, Cewu Lu, Mingjie Zhu, Hao Chen, Jun Zhu, Kai Yu, Lei Li, Ming Li, Qianfeng Chen, Xi Li, Xudong Cao, Zhongyuan Wang, Zhengjun Zha, Yueting Zhuang, Yunhe Pan:
Towards a new generation of artificial intelligence in China. Nat. Mach. Intell. 2(6): 312-316 (2020) - [j86]Yahong Han, Bo Wang, Richang Hong, Fei Wu:
Movie Question Answering via Textual Memory and Plot Graph. IEEE Trans. Circuits Syst. Video Technol. 30(3): 875-887 (2020) - [j85]Aming Wu, Yahong Han, Yi Yang, Qinghua Hu, Fei Wu:
Convolutional Reconstruction-to-Sequence for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4299-4308 (2020) - [j84]Mao Gu, Zhou Zhao, Weike Jin, Deng Cai, Fei Wu:
Video Dialog via Multi-Grained Convolutional Self-Attention Context Multi-Modal Networks. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4453-4466 (2020) - [j83]Wei Ji, Xi Li, Fei Wu, Zhijie Pan, Yueting Zhuang:
Human-Centric Clothing Segmentation via Deformable Semantic Locality-Preserving Network. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4837-4848 (2020) - [j82]Yiming Wu, Wei Ji, Xi Li, Gang Wang, Jianwei Yin, Fei Wu:
Context-Aware Deep Spatiotemporal Network for Hand Pose Estimation From Depth Images. IEEE Trans. Cybern. 50(2): 787-797 (2020) - [j81]Wei Ji, Xi Li, Lina Wei, Fei Wu, Yueting Zhuang:
Context-Aware Graph Label Propagation Network for Saliency Detection. IEEE Trans. Image Process. 29: 8177-8186 (2020) - [j80]Yiming Wu, Omar El Farouk Bourahla, Xi Li, Fei Wu, Qi Tian, Xue Zhou:
Adaptive Graph Representation Learning for Video Person Re-Identification. IEEE Trans. Image Process. 29: 8821-8830 (2020) - [j79]Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang:
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. ACM Trans. Knowl. Discov. Data 14(1): 6:1-6:25 (2020) - [j78]Wenqiao Zhang, Siliang Tang, Yanpeng Cao, Shiliang Pu, Fei Wu, Yueting Zhuang:
Frame Augmented Alternating Attention Network for Video Question Answering. IEEE Trans. Multim. 22(4): 1032-1041 (2020) - [j77]Ke Ning, Ming Cai, Di Xie, Fei Wu:
An Attentive Sequence to Sequence Translator for Localizing Video Clips by Natural Language. IEEE Trans. Multim. 22(9): 2434-2443 (2020) - [j76]Hehe Fan, Linchao Zhu, Yi Yang, Fei Wu:
Recurrent Attention Network with Reinforced Generator for Visual Dialog. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 78:1-78:16 (2020) - [c142]Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting. AAAI 2020: 11899-11907 - [c141]Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu, Jiwei Li:
Dice Loss for Data-imbalanced NLP Tasks. ACL 2020: 465-476 - [c140]Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li:
A Unified MRC Framework for Named Entity Recognition. ACL 2020: 5849-5859 - [c139]Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li:
CorefQA: Coreference Resolution as Query-based Span Prediction. ACL 2020: 6953-6963 - [c138]Mengze Li, Kun Kuang, Qiang Zhu, Xiaohong Chen, Qing Guo, Fei Wu:
IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model. BIBM 2020: 643-649 - [c137]Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CVPR 2020: 12120-12129 - [c136]Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu:
De-Biased Court's View Generation with Causality. EMNLP (1) 2020: 763-780 - [c135]Duo Chai, Wei Wu, Qinghong Han, Fei Wu, Jiwei Li:
Description Based Text Classification with Reinforcement Learning. ICML 2020: 1371-1382 - [c134]Ke Ning, Lingxi Xie, Fei Wu, Qi Tian:
Polar Relative Positional Encoding for Video-Language Segmentation. IJCAI 2020: 948-954 - [c133]Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu:
Dress like an Internet Celebrity: Fashion Retrieval in Videos. IJCAI 2020: 1054-1060 - [c132]Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu:
Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. CD@KDD 2020: 4-22 - [c131]Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu:
Comprehensive Information Integration Modeling Framework for Video Titling. KDD 2020: 2744-2754 - [c130]Fangfang Wang, Yifeng Chen, Fei Wu, Xi Li:
TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection. ACM Multimedia 2020: 111-119 - [c129]Zhengqing Fang, Kun Kuang, Yuxiao Lin, Fei Wu, Yu-Feng Yao:
Concept-based Explanation for Fine-grained Images and Its Application in Infectious Keratitis Classification. ACM Multimedia 2020: 700-708 - [c128]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu:
Poet: Product-oriented Video Captioner for E-commerce. ACM Multimedia 2020: 1292-1301 - [c127]Peng Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Jing Lu, Liang Qiao, Yi Niu, Fei Wu:
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding. ACM Multimedia 2020: 1413-1422 - [c126]Wenqiao Zhang, Siliang Tang, Yanpeng Cao, Jun Xiao, Shiliang Pu, Fei Wu, Yueting Zhuang:
Photo Stream Question Answer. ACM Multimedia 2020: 3966-3975 - [c125]Jiacheng Li, Siliang Tang, Juncheng Li, Jun Xiao, Fei Wu, Shiliang Pu, Yueting Zhuang:
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling. ACM Multimedia 2020: 4208-4216 - [c124]Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu:
DeVLBert: Learning Deconfounded Visio-Linguistic Representations. ACM Multimedia 2020: 4373-4382 - [c123]Yanyi Zhang, Ming Kong, Tianqi Zhao, Wenchen Hong, Qiang Zhu, Fei Wu:
ADHD Intelligent Auxiliary Diagnosis System Based on Multimodal Information Fusion. ACM Multimedia 2020: 4494-4496 - [c122]Xiaoya Li, Yuxian Meng, Mingxin Zhou, Qinghong Han, Fei Wu, Jiwei Li:
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection. NeurIPS 2020 - [c121]Changlong Sun, Yating Zhang, Xiaozhong Liu, Fei Wu:
Legal Intelligence: Algorithmic, Data, and Social Challenges. SIGIR 2020: 2464-2467 - [i83]Duo Chai, Wei Wu, Qinghong Han, Fei Wu, Jiwei Li:
Description Based Text Classification with Reinforcement Learning. CoRR abs/2002.03067 (2020) - [i82]Xiaoya Li, Yuxian Meng, Arianna Yuan, Fei Wu, Jiwei Li:
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention. CoRR abs/2002.03084 (2020) - [i81]Qinghong Han, Yuxian Meng, Fei Wu, Jiwei Li:
Non-Autoregressive Neural Dialogue Generation. CoRR abs/2002.04250 (2020) - [i80]Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting. CoRR abs/2002.06820 (2020) - [i79]Zhanzhan Cheng, Yunlu Xu, Mingjian Cheng, Yu Qiao, Shiliang Pu, Yi Niu, Fei Wu:
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units. CoRR abs/2002.11338 (2020) - [i78]Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded and Controllable Image Completion by Incorporating Lexical Semantics. CoRR abs/2003.00303 (2020) - [i77]Xiaoya Li, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li:
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection. CoRR abs/2003.09833 (2020) - [i76]Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge. CoRR abs/2003.13260 (2020) - [i75]Weichao Li, Xi Li, Omar El Farouk Bourahla, Fuxian Huang, Fei Wu, Wei Liu, Zhiheng Wang, Hongmin Liu:
Progressive Multi-Stage Learning for Discriminative Tracking. CoRR abs/2004.00255 (2020) - [i74]Jing Lu, Baorui Zou, Zhanzhan Cheng, Shiliang Pu, Shuigeng Zhou, Yi Niu, Fei Wu:
Object-QA: Towards High Reliable Object Quality Assessment. CoRR abs/2005.13116 (2020) - [i73]Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou:
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition. CoRR abs/2005.13117 (2020) - [i72]Peng Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Jing Lu, Liang Qiao, Yi Niu, Fei Wu:
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding. CoRR abs/2005.13118 (2020) - [i71]Xiaoya Li, Mingxin Zhou, Jiawei Wu, Arianna Yuan, Fei Wu, Jiwei Li:
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions. CoRR abs/2005.14464 (2020) - [i70]Yesheng Xu, Ming Kong, Wenjia Xie, Runping Duan, Zhengqing Fang, Yuxiao Lin, Qiang Zhu, Siliang Tang, Fei Wu, Yu-Feng Yao:
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis. CoRR abs/2006.02666 (2020) - [i69]Kun Kuang, Hengtao Zhang, Fei Wu, Yueting Zhuang, Aijun Zhang:
Balance-Subsampled Stable Prediction. CoRR abs/2006.04381 (2020) - [i68]Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu:
Stable Prediction via Leveraging Seed Variable. CoRR abs/2006.05076 (2020) - [i67]Xiaolin Zhang, Yunchao Wei, Yi Yang, Fei Wu:
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps. CoRR abs/2006.05220 (2020) - [i66]Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu:
Learning Decomposed Representation for Counterfactual Inference. CoRR abs/2006.07040 (2020) - [i65]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu:
Comprehensive Information Integration Modeling Framework for Video Titling. CoRR abs/2006.13608 (2020) - [i64]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu:
Federated Mutual Learning. CoRR abs/2006.16765 (2020) - [i63]Sanli Tang, Zhanzhan Cheng, Shiliang Pu, Dashan Guo, Yi Niu, Fei Wu:
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection. CoRR abs/2007.02595 (2020) - [i62]Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li:
Memory Efficient Class-Incremental Learning for Image Classification. CoRR abs/2008.01411 (2020) - [i61]Jiacheng Li, Siliang Tang, Juncheng Li, Jun Xiao, Fei Wu, Shiliang Pu, Yueting Zhuang:
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling. CoRR abs/2008.04504 (2020) - [i60]Fangfang Wang, Yifeng Chen, Fei Wu, Xi Li:
TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection. CoRR abs/2008.04851 (2020) - [i59]Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu:
Poet: Product-oriented Video Captioner for E-commerce. CoRR abs/2008.06880 (2020) - [i58]Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu:
DeVLBert: Learning Deconfounded Visio-Linguistic Representations. CoRR abs/2008.06884 (2020) - [i57]Siliang Tang, Qi Zhang, Tianpeng Zheng, Mengdi Zhou, Zhan Chen, Lixing Shen, Xiang Ren, Yueting Zhuang, Shiliang Pu, Fei Wu:
Two Step Joint Model for Drug Drug Interaction Extraction. CoRR abs/2008.12704 (2020) - [i56]Jiawei Wu, Xiaoya Li, Xiang Ao, Yuxian Meng, Fei Wu, Jiwei Li:
Improving Robustness and Generality of NLP Models Using Disentangled Representations. CoRR abs/2009.09587 (2020) - [i55]Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Di Xie, Fei Wu:
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination. CoRR abs/2010.00947 (2020) - [i54]Yuxian Meng, Chun Fan, Zijun Sun, Eduard H. Hovy, Fei Wu, Jiwei Li:
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability. CoRR abs/2010.06943 (2020) - [i53]Xiaofei Sun, Chun Fan, Zijun Sun, Yuxian Meng, Fei Wu, Jiwei Li:
Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries. CoRR abs/2010.07074 (2020) - [i52]Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu:
Future-Aware Diverse Trends Framework for Recommendation. CoRR abs/2011.00422 (2020) - [i51]Zijun Sun, Chun Fan, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li:
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining. CoRR abs/2011.08626 (2020) - [i50]Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen:
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. CoRR abs/2011.09757 (2020) - [i49]Zijun Sun, Chun Fan, Qinghong Han, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li:
Self-Explaining Structures Improve NLP Models. CoRR abs/2012.01786 (2020) - [i48]Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter. CoRR abs/2012.04350 (2020) - [i47]Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li:
FcaNet: Frequency Channel Attention Networks. CoRR abs/2012.11879 (2020) - [i46]Yuxian Meng, Shuhe Wang, Qinghong Han, Xiaofei Sun, Fei Wu, Rui Yan, Jiwei Li:
OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts. CoRR abs/2012.15015 (2020) - [i45]Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang:
SemGloVe: Semantic Co-occurrences for GloVe from BERT. CoRR abs/2012.15197 (2020)
2010 – 2019
- 2019
- [j75]Weichao Li, Fuxian Huang, Xi Li, Gang Pan, Fei Wu:
State Distribution-Aware Sampling for Deep Q-Learning. Neural Process. Lett. 50(2): 1649-1660 (2019) - [j74]Xi Li, Liming Zhao, Wei Ji, Yiming Wu, Fei Wu, Ming-Hsuan Yang, Dacheng Tao, Ian Reid:
Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 915-927 (2019) - [j73]Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Zhang, Fei Wu, Jingdong Wang, Yueting Zhuang, Xuelong Li:
A Bilinear Ranking SVM for Knowledge Based Relation Prediction and Classification. IEEE Trans. Big Data 5(4): 588-600 (2019) - [j72]Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Junwei Han:
User-Ranking Video Summarization With Multi-Stage Spatio-Temporal Representation. IEEE Trans. Image Process. 28(6): 2654-2664 (2019) - [j71]Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu, Yueting Zhuang:
Deep Group-Wise Fully Convolutional Network for Co-Saliency Detection With Graph Propagation. IEEE Trans. Image Process. 28(10): 5052-5063 (2019) - [j70]Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhenxin Xiao, Xiaohui Yan, Jun Yu, Deng Cai, Fei Wu:
Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks. IEEE Trans. Image Process. 28(12): 5939-5952 (2019) - [j69]Yunze Man, Yangsibo Huang, Junyi Feng, Xi Li, Fei Wu:
Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net. IEEE Trans. Medical Imaging 38(8): 1971-1980 (2019) - [c120]Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. AAAI 2019: 419-426 - [c119]Bin Li, Xi Li, Zhongfei Zhang, Fei Wu:
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition. AAAI 2019: 8561-8568 - [c118]Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu:
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. AAAI 2019: 9070-9078 - [c117]Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang:
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. AAAI 2019: 10061-10062 - [c116]Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, Xiang Ren:
KCAT: A Knowledge-Constraint Typing Annotation Tool. ACL (3) 2019: 99-104 - [c115]Chao Wu, Fengda Zhang, Fei Wu:
Distributed Modelling Approaches for Data Privacy Preserving. BigMM 2019: 357-365 - [c114]Xinyu Duan, Yating Zhang, Lin Yuan, Xin Zhou, Xiaozhong Liu, Tianyi Wang, Ruocheng Wang, Qiong Zhang, Changlong Sun, Fei Wu:
Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning. CIKM 2019: 1361-1370 - [c113]Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu:
Understanding Default Behavior in Online Lending. CIKM 2019: 2043-2052 - [c112]Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
Learning Dynamic Context Augmentation for Global Entity Linking. EMNLP/IJCNLP (1) 2019: 271-281 - [c111]Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Fei Wu, Futai Zou:
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization. ACM Multimedia 2019: 738-746 - [c110]Zhanzhan Cheng, Jing Lu, Yi Niu, Shiliang Pu, Fei Wu, Shuigeng Zhou:
You Only Recognize Once: Towards Fast Video Text Spotting. ACM Multimedia 2019: 855-863 - [c109]Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang:
Walking with MIND: Mental Imagery eNhanceD Embodied QA. ACM Multimedia 2019: 1211-1219 - [c108]Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang:
Informative Visual Storytelling with Cross-modal Rules. ACM Multimedia 2019: 2314-2322 - [c107]Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang:
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. NAACL-HLT (1) 2019: 2831-2835 - [c106]Zongtao Liu, Yang Yang, Wei Huang, Zhongyi Tang, Ning Li, Fei Wu:
How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation. WWW 2019: 1164-1174 - [i44]Yufeng Hu, Haochen Shi, Tao Chen, Siliang Tang, Quan Liu, Zhigang Chen, Xiang Ren, Fei Wu, Yueting Zhuang:
The ZJU-EDL System for Entity Discovery and Linking at TAC KBP 2019. TAC 2019 - [i43]Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu:
Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition. CoRR abs/1903.03299 (2019) - [i42]Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang:
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. CoRR abs/1904.08051 (2019) - [i41]Yunze Man, Yangsibo Huang, Junyi Feng, Xi Li, Fei Wu:
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net. CoRR abs/1904.09120 (2019) - [i40]Chao Wu, Jun Xiao, Gang Huang, Fei Wu:
Galaxy Learning - A Position Paper. CoRR abs/1905.00753 (2019) - [i39]Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
KCAT: A Knowledge-Constraint Typing Annotation Tool. CoRR abs/1906.05670 (2019) - [i38]Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang:
Informative Visual Storytelling with Cross-modal Rules. CoRR abs/1907.03240 (2019) - [i37]Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang:
Walking with MIND: Mental Imagery eNhanceD Embodied QA. CoRR abs/1908.01482 (2019) - [i36]Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Fei Wu, Futai Zou:
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization. CoRR abs/1908.02422 (2019) - [i35]Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
Learning Dynamic Context Augmentation for Global Entity Linking. CoRR abs/1909.02117 (2019) - [i34]Yiming Wu, Omar El Farouk Bourahla, Xi Li, Fei Wu, Qi Tian:
Adaptive Graph Representation Learning for Video Person Re-identification. CoRR abs/1909.02240 (2019) - [i33]Yuxian Meng, Xiangyuan Ren, Zijun Sun, Xiaoya Li, Arianna Yuan, Fei Wu, Jiwei Li:
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs. CoRR abs/1909.11861 (2019) - [i32]Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li:
A Unified MRC Framework for Named Entity Recognition. CoRR abs/1910.11476 (2019) - [i31]Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li:
Coreference Resolution as Query-based Span Prediction. CoRR abs/1911.01746 (2019) - [i30]Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu, Jiwei Li:
Dice Loss for Data-imbalanced NLP Tasks. CoRR abs/1911.02855 (2019) - [i29]Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CoRR abs/1911.07450 (2019) - 2018
- [j68]Hongliang Dai, Siliang Tang, Fei Wu, Yueting Zhuang:
Entity mention aware document representation. Inf. Sci. 430: 216-227 (2018) - [j67]Xinyu Duan, Siliang Tang, Shengyu Zhang, Yin Zhang, Zhou Zhao, Jianru Xue, Yueting Zhuang, Fei Wu:
Temporality-enhanced knowledgememory network for factoid question answering. Frontiers Inf. Technol. Electron. Eng. 19(1): 104-115 (2018) - [j66]Yahong Han, Liqiang Nie, Fei Wu:
Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis. Multim. Tools Appl. 77(22): 29209-29211 (2018) - [j65]Yueting Zhuang, Jun Song, Fei Wu, Xi Li, Zhongfei Zhang, Yong Rui:
Multimodal Deep Embedding via Hierarchical Grounded Compositional Semantics. IEEE Trans. Circuits Syst. Video Technol. 28(1): 76-89 (2018) - [j64]Yunlong Yu, Zhong Ji, Xi Li, Jichang Guo, Zhongfei Zhang, Haibin Ling, Fei Wu:
Transductive Zero-Shot Learning With a Self-Training Dictionary Approach. IEEE Trans. Cybern. 48(10): 2908-2919 (2018) - [j63]Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Shenghua Gao, Rongrong Ji, Junwei Han:
Body Structure Aware Deep Crowd Counting. IEEE Trans. Image Process. 27(3): 1049-1059 (2018) - [j62]Jiajian Zeng, Siyuan Liu, Xi Li, Debbah Abderrahmane Mahdi, Fei Wu, Gang Wang:
Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling. IEEE Trans. Image Process. 27(5): 2096-2107 (2018) - [j61]Hanqi Wang, Fei Wu, Weiming Lu, Yi Yang, Xi Li, Xuelong Li, Yueting Zhuang:
Identifying Objective and Subjective Words via Topic Modeling. IEEE Trans. Neural Networks Learn. Syst. 29(3): 718-730 (2018) - [c105]Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang:
Representation Learning for Scale-Free Networks. AAAI 2018: 282-289 - [c104]Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang:
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai. AAAI 2018: 507-514 - [c103]Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang:
Dynamic Network Embedding by Modeling Triadic Closure Process. AAAI 2018: 571-578 - [c102]Xinyu Duan, Shengyu Zhang, Zhou Zhao, Fei Wu, Yueting Zhuang:
Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning. AAAI 2018: 8071-8072 - [c101]Shaoning Xiao, Yimeng Li, Yunan Ye, Zhou Zhao, Jun Xiao, Fei Wu, Jiang Zhu, Yueting Zhuang:
Video question answering via multi-granularity temporal attention network learning. ICIMCS 2018: 46:1-46:5 - [c100]Dejiang Kong, Fei Wu:
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction. IJCAI 2018: 2341-2347 - [c99]Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang:
Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning. IJCAI 2018: 3184-3190 - [c98]Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang:
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks. IJCAI 2018: 3683-3689 - [c97]Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. KDD 2018: 537-546 - [c96]Xuanyi Dong, Linchao Zhu, De Zhang, Yi Yang, Fei Wu:
Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering. ACM Multimedia 2018: 54-62 - [c95]Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu:
Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction. ACM Multimedia 2018: 1883-1891 - [c94]Yueyang Wang, Liang Hu, Yueting Zhuang, Fei Wu:
Intra-view and Inter-view Attention for Multi-view Network Embedding. PCM (1) 2018: 201-211 - [c93]Binbing Liao, Siliang Tang, Shengwen Yang, Wenwu Zhu, Fei Wu:
Multi-modal Sequence to Sequence Learning with Content Attention for Hotspot Traffic Speed Prediction. PCM (1) 2018: 212-222 - [c92]Jun Song, Siliang Tang, Tianchi Qian, Wenwu Zhu, Fei Wu:
Reading Document and Answering Question via Global Attentional Inference. PCM (1) 2018: 335-345 - [c91]Shengyu Zhang, Hao Dong, Wei Hu, Yike Guo, Chao Wu, Di Xie, Fei Wu:
Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network. PCM (3) 2018: 417-427 - [c90]Dejiang Kong, Fei Wu:
Visual Dialog with Multi-turn Attentional Memory Network. PCM (1) 2018: 611-621 - [c89]Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei:
Identify Shifts of Word Semantics through Bayesian Surprise. SIGIR 2018: 825-834 - [c88]Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li:
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period. WWW 2018: 967-976 - [c87]Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei:
Find the Conversation Killers: A Predictive Study of Thread-ending Posts. WWW 2018: 1145-1154 - [i28]Siliang Tang, Qi Zhang, Tianpeng Zheng, Mengdi Zhou, Zhan Chen, Lixing Shen, Xiang Ren, Yueting Zhuang, Shiliang Pu, Fei Wu:
Two Step Joint Model for Drug Drug Interaction Extraction. TAC 2018 - [i27]Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li:
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period. CoRR abs/1802.09734 (2018) - [i26]Weichao Li, Fuxian Huang, Xi Li, Gang Pan, Fei Wu:
State Distribution-aware Sampling for Deep Q-learning. CoRR abs/1804.08619 (2018) - [i25]Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. CoRR abs/1806.07380 (2018) - [i24]Ke Ning, Linchao Zhu, Ming Cai, Yi Yang, Di Xie, Fei Wu:
Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions. CoRR abs/1808.08803 (2018) - [i23]Yiming Wu, Wei Ji, Xi Li, Gang Wang, Jianwei Yin, Fei Wu:
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images. CoRR abs/1810.02994 (2018) - [i22]Zhou Zhao, Hanbing Zhan, Lingtao Meng, Jun Xiao, Jun Yu, Min Yang, Fei Wu, Deng Cai:
Textually Guided Ranking Network for Attentional Image Retweet Modeling. CoRR abs/1810.10226 (2018) - [i21]Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu:
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. CoRR abs/1811.07460 (2018) - [i20]Yunlong Yu, Zhong Ji, Yanwei Pang, Jichang Guo, Zhongfei Zhang, Fei Wu:
Bi-Adversarial Auto-Encoder for Zero-Shot Learning. CoRR abs/1811.08103 (2018) - [i19]Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction. CoRR abs/1812.10604 (2018) - 2017
- [j60]Yueting Zhuang, Fei Wu, Chun Chen, Yunhe Pan:
Challenges and opportunities: from big data to knowledge in AI 2.0. Frontiers Inf. Technol. Electron. Eng. 18(1): 3-14 (2017) - [j59]Le-kui Zhou, Siliang Tang, Jun Xiao, Fei Wu, Yueting Zhuang:
Disambiguating named entities with deep supervised learning via crowd labels. Frontiers Inf. Technol. Electron. Eng. 18(1): 97-106 (2017) - [j58]Yueyang Wang, Yuanfang Xia, Siliang Tang, Fei Wu, Yueting Zhuang:
Flickr group recommendation with auxiliary information in heterogeneous information networks. Multim. Syst. 23(6): 703-712 (2017) - [j57]Fei Wu, Zhuhao Wang, Weiming Lu, Xi Li, Yi Yang, Jiebo Luo, Yueting Zhuang:
Regularized Deep Belief Network for Image Attribute Detection. IEEE Trans. Circuits Syst. Video Technol. 27(7): 1464-1477 (2017) - [j56]Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang:
Data-Dependent Label Distribution Learning for Age Estimation. IEEE Trans. Image Process. 26(8): 3846-3858 (2017) - [j55]Yueting Zhuang, Hanqi Wang, Jun Xiao, Fei Wu, Yi Yang, Weiming Lu, Zhongfei Zhang:
Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling. IEEE Trans. Knowl. Data Eng. 29(5): 977-990 (2017) - [j54]Jun Song, Jun Xiao, Fei Wu, Haishan Wu, Tong Zhang, Zhongfei (Mark) Zhang, Wenwu Zhu:
Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion. IEEE Trans. Knowl. Data Eng. 29(9): 1888-1901 (2017) - [j53]Fei Wu, Xinyu Duan, Jun Xiao, Zhou Zhao, Siliang Tang, Yin Zhang, Yueting Zhuang:
Temporal Interaction and Causal Influence in Community-Based Question Answering. IEEE Trans. Knowl. Data Eng. 29(10): 2304-2317 (2017) - [c86]Siliang Tang, Ning Zhang, Jinjian Zhang, Fei Wu, Yueting Zhuang:
NITE: A Neural Inductive Teaching Framework for Domain Specific NER. EMNLP 2017: 2652-2657 - [c85]Lina Wei, Fangfang Wang, Xi Li, Fei Wu, Jun Xiao:
Graph-theoretic spatiotemporal context modeling for video saliency detection. ICIP 2017: 4197-4201 - [c84]Youjiang Xu, Shichao Zhao, Yahong Han, Qinghua Hu, Fei Wu:
Top attention in line with time: A light-weight strategy. ICME 2017: 295-300 - [c83]Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu:
Group-wise Deep Co-saliency Detection. IJCAI 2017: 3041-3047 - [c82]Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua:
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. IJCAI 2017: 3119-3125 - [c81]Hanqi Wang, Siliang Tang, Yin Zhang, Tao Mei, Yueting Zhuang, Fei Wu:
Learning Deep Contextual Attention Network for Narrative Photo Stream Captioning. ACM Multimedia (Thematic Workshops) 2017: 271-279 - [c80]Xinyang Jiang, Siliang Tang, Yang Yang, Zhou Zhao, Yin Zhang, Fei Wu, Yueting Zhuang:
Detecting Temporal Proposal for Action Localization with Tree-structured Search Policy. ACM Multimedia 2017: 1069-1077 - [c79]Dejing Xu, Zhou Zhao, Jun Xiao, Fei Wu, Hanwang Zhang, Xiangnan He, Yueting Zhuang:
Video Question Answering via Gradually Refined Attention over Appearance and Motion. ACM Multimedia 2017: 1645-1653 - [c78]Zhou Zhao, Qifan Yang, Hanqing Lu, Min Yang, Jun Xiao, Fei Wu, Yueting Zhuang:
Learning Max-Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggestion. SIGIR 2017: 833-836 - [c77]Siliang Tang, Jinjian Zhang, Ning Zhang, Fei Wu, Jun Xiao, Yueting Zhuang:
ENCORE: External Neural Constraints Regularized Distant Supervision for Relation Extraction. SIGIR 2017: 1113-1116