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Enhong Chen
En-Hong Chen
Person information
- affiliation: University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- affiliation: University of Science and Technology of China, School of Data Science, Hefei, China
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2020 – today
- 2025
- [j248]Ying Yu
, Feng Zhu, Jin Qian, Hamido Fujita, Jiamao Yu, Kangli Zeng, Enhong Chen:
CrowdFPN: crowd counting via scale-enhanced and location-aware feature pyramid network. Appl. Intell. 55(5): 359 (2025) - [j247]Lixiang Xu
, Kang Jiang, Xin Niu, Enhong Chen, Bin Luo, Philip S. Yu
:
GL-BKGNN: Graphlet-based Bi-Kernel Interpretable Graph Neural Networks. Inf. Fusion 123: 103284 (2025) - [j246]Yifei Cheng
, Li Shen
, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou
, Tie Zhang, Dacheng Tao, Enhong Chen:
Communication-efficient distributed learning with Local Immediate Error Compensation. Neural Networks 188: 107471 (2025) - [j245]Lixiang Xu, Jiawang Peng, Xiaoyi Jiang, Enhong Chen, Bin Luo:
Graph neural network based on graph kernel: A survey. Pattern Recognit. 161: 111307 (2025) - [j244]Hefu Zhang
, Yong Ge
, Yan Zhuang
, Enhong Chen
:
Where is the Next Step? Predicting the Scientific Impact of Research Career. IEEE Trans. Big Data 11(3): 1116-1127 (2025) - [j243]Yuxuan Gu
, Yi Jin
, Ben Wang
, Zhixiang Wei, Xiaoxiao Ma
, Haoxuan Wang
, Pengyang Ling
, Huaian Chen
, Enhong Chen
:
Seed Optimization With Frozen Generator for Superior Zero-Shot Low-Light Image Enhancement. IEEE Trans. Circuits Syst. Video Technol. 35(1): 561-576 (2025) - [j242]Minghui Duan
, Yabing Zheng
, Yi Jin
, Jinjin Zheng
, Enhong Chen
:
Multishot Structured-Light 3-D Scanning for Surfaces in Challenging Motion. IEEE Trans. Ind. Electron. 72(4): 4269-4279 (2025) - [j241]Qingyang Mao
, Zhi Li
, Qi Liu
, Likang Wu
, Hefu Zhang
, Enhong Chen
:
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm. ACM Trans. Knowl. Discov. Data 19(1): 7:1-7:26 (2025) - [j240]Xinjie Sun
, Kai Zhang
, Qi Liu
, Shuanghong Shen
, Fei Wang
, Yuxiang Guo
, Enhong Chen
:
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing. IEEE Trans. Knowl. Data Eng. 37(4): 1714-1727 (2025) - [j239]Jiayu Liu
, Zhenya Huang
, Qi Liu
, Zhiyuan Ma
, Chengxiang Zhai, Enhong Chen
:
Knowledge-Centered Dual-Process Reasoning for Math Word Problems With Large Language Models. IEEE Trans. Knowl. Data Eng. 37(6): 3457-3471 (2025) - [j238]Yi Jin
, Xiaoxiao Ma
, Rui Zhang
, Huaian Chen
, Yuxuan Gu
, Pengyang Ling
, Enhong Chen
:
Masked Video Pretraining Advances Real-World Video Denoising. IEEE Trans. Multim. 27: 622-636 (2025) - [j237]Xi Zhu
, Fake Lin
, Ziwei Zhao
, Tong Xu
, Xiangyu Zhao
, Zikai Yin
, Xueying Li
, Enhong Chen
:
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs. ACM Trans. Inf. Syst. 43(1): 20:1-20:30 (2025) - [j236]Hao Wang
, Mingjia Yin
, Luankang Zhang
, Sirui Zhao
, Enhong Chen
:
MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation. ACM Trans. Inf. Syst. 43(2): 30:1-30:28 (2025) - [j235]Lixiang Xu
, Yusheng Liu
, Tong Xu
, Enhong Chen
, Yuanyan Tang
:
Graph Augmentation Empowered Contrastive Learning for Recommendation. ACM Trans. Inf. Syst. 43(2): 34:1-34:27 (2025) - [j234]Yuanjie Lyu
, Zhiyu Li
, Simin Niu
, Feiyu Xiong
, Bo Tang
, Wenjin Wang
, Hao Wu
, Huanyong Liu
, Tong Xu
, Enhong Chen
:
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models. ACM Trans. Inf. Syst. 43(2): 41:1-41:32 (2025) - [j233]Yuanhao Pu
, Rui Fan
, Jin Chen
, Zhihao Zhu
, Defu Lian
, Enhong Chen
:
Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. Trans. Recomm. Syst. 3(3): 39:1-39:26 (2025) - [c493]Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen:
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. AAAI 2025: 1174-1182 - [c492]Zipeng Gao, Qingrong Xia, Tong Xu, Xinyu Duan, Zhi Zheng, Zhefeng Wang, Enhong Chen:
Multi-Branch Self-Drafting for LLM Inference Acceleration. AAAI 2025: 23942-23950 - [c491]Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen:
Explore What LLM Does Not Know in Complex Question Answering. AAAI 2025: 24585-24594 - [c490]Derong Xu
, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao
, Tong Xu, Enhong Chen:
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. AAAI 2025: 25570-25578 - [c489]Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen:
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. ICLR 2025 - [c488]Yuanhao Pu
, Defu Lian
, Xiaolong Chen
, Jin Chen
, Ze Liu
, Enhong Chen
:
Understanding the Effect of Loss Functions on the Generalization of Recommendations. KDD (1) 2025: 1127-1137 - [c487]Xiang Xu
, Hao Wang
, Wei Guo
, Luankang Zhang
, Wanshan Yang
, Runlong Yu
, Yong Liu
, Defu Lian
, Enhong Chen
:
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. KDD (1) 2025: 2745-2755 - [c486]Chao Zhang
, Haoxin Zhang
, Shiwei Wu
, Di Wu
, Tong Xu
, Xiangyu Zhao
, Yan Gao
, Yao Hu
, Enhong Chen
:
NoteLLM-2: Multimodal Large Representation Models for Recommendation. KDD (1) 2025: 2815-2826 - [c485]Mingyue Cheng
, Yiheng Chen
, Qi Liu
, Zhiding Liu
, Yucong Luo
, Enhong Chen
:
InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. WSDM 2025: 792-800 - [c484]Hao Wang
, Wei Guo
, Luankang Zhang
, Jin Yao Chin
, Yufei Ye
, Huifeng Guo
, Yong Liu
, Defu Lian
, Ruiming Tang
, Enhong Chen
:
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. WWW (Companion Volume) 2025: 49-52 - [c483]Yufei Ye
, Wei Guo
, Jin Yao Chin
, Hao Wang
, Hong Zhu
, Xi Lin
, Yuyang Ye
, Yong Liu
, Ruiming Tang
, Defu Lian
, Enhong Chen
:
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. WWW (Companion Volume) 2025: 557-566 - [c482]Rui Zhou
, Hao Wang
, Wei Guo
, Qinglin Jia
, Wenjia Xie
, Xiang Xu
, Yong Liu
, Defu Lian
, Enhong Chen
:
MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. WWW (Companion Volume) 2025: 651-660 - [c481]Pengfei Luo
, Jingbo Zhou
, Tong Xu
, Yuan Xia
, Linli Xu
, Enhong Chen
:
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning. WWW 2025: 1666-1682 - [c480]Kai Zhang
, Weiyin Gong
, Qi Liu
, Junyu Lu
, Meikai Bao
, Xukai Liu
, Linbo Zhu
, Enhong Chen
:
Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences. WWW (Companion Volume) 2025: 2947-2950 - [c479]Jiaqing Zhang
, Mingjia Yin
, Hao Wang
, Yawen Li
, Yuyang Ye
, Xingyu Lou
, Junping Du
, Enhong Chen
:
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. WWW 2025: 3994-4003 - [i238]Jin Chen, Jin Zhang, Xu huang, Yi Yang, Defu Lian, Enhong Chen:
Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications. CoRR abs/2501.08563 (2025) - [i237]Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen:
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. CoRR abs/2502.02854 (2025) - [i236]Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. CoRR abs/2502.03036 (2025) - [i235]Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zengrong Zheng:
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data. CoRR abs/2502.03264 (2025) - [i234]Xinjie Sun, Kai Zhang, Qi Liu, Shuanghong Shen, Fei Wang, Yuxiang Guo, Enhong Chen:
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing. CoRR abs/2502.10396 (2025) - [i233]Changchun Liu, Kai Zhang, Junzhe Jiang, Zixiao Kong, Qi Liu, Enhong Chen:
Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities. CoRR abs/2502.11508 (2025) - [i232]Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen:
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. CoRR abs/2502.13170 (2025) - [i231]Liyang He, Chenglong Liu, Rui Li, Zhenya Huang, Shulan Ruan, Jun Zhou, Enhong Chen:
Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models. CoRR abs/2502.13656 (2025) - [i230]Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen:
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. CoRR abs/2502.13783 (2025) - [i229]Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen:
A Universal Framework for Compressing Embeddings in CTR Prediction. CoRR abs/2502.15355 (2025) - [i228]Zhaoyi Li, Gangwei Jiang, Chenwang Wu, Ying Wei, Defu Lian, Enhong Chen:
Learning to Substitute Components for Compositional Generalization. CoRR abs/2502.20834 (2025) - [i227]Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen:
RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery. CoRR abs/2503.00751 (2025) - [i226]Shuaike Li, Kai Zhang, Qi Liu, Enhong Chen:
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality. CoRR abs/2503.02701 (2025) - [i225]Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen:
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning. CoRR abs/2503.10166 (2025) - [i224]Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen:
A Survey on Knowledge-Oriented Retrieval-Augmented Generation. CoRR abs/2503.10677 (2025) - [i223]Hao Zhang, Mingyue Cheng, Qi Liu, Junzhe Jiang, Xianquan Wang, Rujiao Zhang, Chenyi Lei, Enhong Chen:
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects. CoRR abs/2503.14110 (2025) - [i222]Yihang Lu, Mahwish Yousaf, Xianwei Meng, Enhong Chen:
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm. CoRR abs/2503.22955 (2025) - [i221]Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang:
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing. CoRR abs/2504.04121 (2025) - [i220]Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen:
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. CoRR abs/2504.16454 (2025) - [i219]Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu:
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. CoRR abs/2505.02322 (2025) - [i218]Shifeng Liu, Xinglong Mao, Sirui Zhao, Peiming Li, Tong Xu, Enhong Chen:
MER-CLIP: AU-Guided Vision-Language Alignment for Micro-Expression Recognition. CoRR abs/2505.05937 (2025) - [i217]Zhengye Zhang, Sirui Zhao, Shifeng Liu, Shukang Yin, Xinglong Mao, Tong Xu, Enhong Chen:
MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion Perception. CoRR abs/2505.07007 (2025) - [i216]Derong Xu, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Maolin Wang, Qidong Liu, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Ruiming Tang, Enhong Chen, Tong Xu:
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. CoRR abs/2505.16237 (2025) - [i215]Jiancheng Wang, Mingjia Yin, Junwei Pan, Ximei Wang, Hao Wang, Enhong Chen:
Enhancing CTR Prediction with De-correlated Expert Networks. CoRR abs/2505.17925 (2025) - [i214]Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen:
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. CoRR abs/2505.19182 (2025) - [i213]Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wen-Lin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu:
Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents. CoRR abs/2505.19549 (2025) - [i212]Tingjia Shen, Hao Wang, Chuan Qin, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen:
GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models. CoRR abs/2505.19660 (2025) - [i211]Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen:
Improving Time Series Forecasting via Instance-aware Post-hoc Revision. CoRR abs/2505.23583 (2025) - [i210]Yifei Cheng, Li Shen, Hao Sun, Nan Yin, Xiaochun Cao, Enhong Chen:
LightSAM: Parameter-Agnostic Sharpness-Aware Minimization. CoRR abs/2505.24399 (2025) - [i209]Lixiang Xu, Xianwei Ding, Xin Yuan, Richang Hong, Feiping Nie, Enhong Chen, Philip S. Yu:
Dynamic Programming Techniques for Enhancing Cognitive Representation in Knowledge Tracing. CoRR abs/2506.02949 (2025) - [i208]Junhao Yu, Yan Zhuang, YuXuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen:
TestAgent: An Adaptive and Intelligent Expert for Human Assessment. CoRR abs/2506.03032 (2025) - [i207]Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen:
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective. CoRR abs/2506.04481 (2025) - [i206]Tong Xiao, Xin Xu, Zhenya Huang, Hongyu Gao, Quan Liu, Qi Liu, Enhong Chen:
Advancing Multimodal Reasoning Capabilities of Multimodal Large Language Models via Visual Perception Reward. CoRR abs/2506.07218 (2025) - [i205]Yuanhao Pu, Defu Lian, Xiaolong Chen, Xu Huang, Jin Chen, Enhong Chen:
NDCG-Consistent Softmax Approximation with Accelerated Convergence. CoRR abs/2506.09454 (2025) - 2024
- [j232]Yongzhang Wang, Defu Lian, Enhong Chen:
Event Assignment Based on KBQA for Government Service Hotlines. Appl. Artif. Intell. 38(1) (2024) - [j231]Yansong Wang, Defu Lian, Enhong Chen:
Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks. Appl. Artif. Intell. 38(1) (2024) - [j230]Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang
, Weibo Gao, Enhong Chen:
Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. 67(5) (2024) - [j229]Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong:
Multi-dimensional ability diagnosis for machine learning algorithms. Sci. China Inf. Sci. 67(12) (2024) - [j228]Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun
, Enhong Chen:
Woodpecker: hallucination correction for multimodal large language models. Sci. China Inf. Sci. 67(12) (2024) - [j227]Yihang Lu
, Xianwei Meng
, Liqun Peng
, Shucai Xu, Enhong Chen:
IODRNN - Incremental output decomposition for a valid traffic flow prediction with GNSS data. Eng. Appl. Artif. Intell. 128: 107520 (2024) - [j226]Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen:
A general tail item representation enhancement framework for sequential recommendation. Frontiers Comput. Sci. 18(6): 186333 (2024) - [j225]Derong Xu
, Wei Chen
, Wenjun Peng, Chao Zhang
, Tong Xu, Xiangyu Zhao
, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen:
Large language models for generative information extraction: a survey. Frontiers Comput. Sci. 18(6): 186357 (2024) - [j224]Lixiang Xu, Qingzhe Cui
, Wei Xu, Enhong Chen, He Tong, Yuanyan Tang:
Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis. Inf. Fusion 103: 102131 (2024) - [j223]Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu
, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen:
Caption matters: a new perspective for knowledge-based visual question answering. Knowl. Inf. Syst. 66(11): 6975-7003 (2024) - [j222]Suojuan Zhang, Jie Pu, Jing Cui, Shuanghong Shen
, Weiwei Chen, Kun Hu, Enhong Chen:
MLC-DKT: A multi-layer context-aware deep knowledge tracing model. Knowl. Based Syst. 303: 112384 (2024) - [j221]Chenwang Wu
, Defu Lian
, Yong Ge
, Min Zhou
, Enhong Chen
, Dacheng Tao
:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j220]Sirui Zhao
, Huaying Tang
, Xinglong Mao
, Shifeng Liu
, Yiming Zhang
, Hao Wang
, Tong Xu
, Enhong Chen
:
DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition. IEEE Trans. Affect. Comput. 15(3): 1371-1386 (2024) - [j219]Han Wu
, Guanqi Zhu
, Qi Liu
, Hengshu Zhu
, Hao Wang
, Hongke Zhao
, Chuanren Liu
, Enhong Chen
, Hui Xiong
:
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. IEEE Trans. Big Data 10(1): 35-54 (2024) - [j218]Rui Zha
, Chuan Qin
, Le Zhang, Dazhong Shen, Tong Xu
, Hengshu Zhu
, Enhong Chen
:
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024) - [j217]Weihao Zhao
, Han Wu
, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu
, Tong Xu
, Enhong Chen
:
Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2694-2705 (2024) - [j216]Penggang Qin
, Shiwei Wu, Tong Xu
, Yanbin Hao
, Fuli Feng
, Chen Zhu, Enhong Chen
:
When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5160-5175 (2024) - [j215]Haoxuan Wang
, Pengyang Ling
, Xin Fan
, Tao Tu, Jinjin Zheng
, Huaian Chen
, Yi Jin
, Enhong Chen
:
All-in-One Hardware-Oriented Model Compression for Efficient Multi-Hardware Deployment. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12345-12359 (2024) - [j214]Lixiang Xu
, Haifeng Liu, Xin Yuan
, Enhong Chen
, Yuanyan Tang
:
GraKerformer: A Transformer With Graph Kernel for Unsupervised Graph Representation Learning. IEEE Trans. Cybern. 54(12): 7320-7332 (2024) - [j213]Weidong He
, Zhi Li
, Hao Wang
, Tong Xu
, Zhefeng Wang
, Baoxing Huai
, Nicholas Jing Yuan
, Enhong Chen
:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements. ACM Trans. Intell. Syst. Technol. 15(3): 45:1-45:25 (2024) - [j212]Haoyang Bi
, Qi Liu
, Han Wu
, Weidong He
, Zhenya Huang
, Yu Yin
, Haiping Ma
, Yu Su
, Shijin Wang
, Enhong Chen
:
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings. ACM Trans. Intell. Syst. Technol. 15(5): 95:1-95:26 (2024) - [j211]Chenwang Wu
, Defu Lian
, Yong Ge
, Min Zhou
, Enhong Chen
:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j210]Likang Wu
, Zhi Li, Hongke Zhao
, Zhenya Huang
, Yongqiang Han, Junji Jiang, Enhong Chen
:
Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. IEEE Trans. Knowl. Data Eng. 36(8): 4275-4289 (2024) - [j209]Ziwei Zhao
, Yu Yang
, Zikai Yin
, Tong Xu
, Xi Zhu
, Fake Lin
, Xueying Li
, Enhong Chen
:
Adversarial Attack and Defense on Discrete Time Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 36(12): 7600-7611 (2024) - [j208]Defu Lian
, Zhenguo Gao
, Xia Song
, Yucheng Li
, Qi Liu
, Enhong Chen
:
Training Recommenders Over Large Item Corpus With Importance Sampling. IEEE Trans. Knowl. Data Eng. 36(12): 9433-9447 (2024) - [j207]Lixiang Xu
, Zhanlong Wang
, Suojuan Zhang
, Xin Yuan
, Minjuan Wang
, Enhong Chen
:
Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing. IEEE Trans. Learn. Technol. 17: 1390-1403 (2024) - [j206]Shuanghong Shen
, Qi Liu
, Zhenya Huang
, Yonghe Zheng, Minghao Yin
, Minjuan Wang
, Enhong Chen
:
A Survey of Knowledge Tracing: Models, Variants, and Applications. IEEE Trans. Learn. Technol. 17: 1898-1919 (2024) - [j205]Shulan Ruan
, Kun Zhang
, Le Wu
, Tong Xu
, Qi Liu
, Enhong Chen
:
Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. 26: 4097-4109 (2024) - [j204]Lixiang Xu
, Qingzhe Cui
, Richang Hong
, Wei Xu
, Enhong Chen
, Xin Yuan
, Chenglong Li
, Yuanyan Tang
:
Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding. IEEE Trans. Multim. 26: 9450-9463 (2024) - [j203]Xin Lin
, Zhenya Huang
, Hongke Zhao
, Enhong Chen
, Qi Liu
, Defu Lian
, Xin Li, Hao Wang
:
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13830-13844 (2024) - [j202]Kun Zhang
, Le Wu
, Guangyi Lv
, Enhong Chen
, Shulan Ruan
, Jing Liu
, Zhiqiang Zhang
, Jun Zhou
, Meng Wang
:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14889-14902 (2024) - [j201]Chao Wang
, Hengshu Zhu
, Chen Zhu
, Chuan Qin
, Enhong Chen
, Hui Xiong
:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. 42(2): 56:1-56:32 (2024) - [j200]Rui Zha
, Ying Sun
, Chuan Qin
, Le Zhang
, Tong Xu
, Hengshu Zhu
, Enhong Chen
:
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Trans. Inf. Syst. 42(4): 110:1-110:28 (2024) - [j199]Yuanjie Lyu
, Penggang Qin
, Tong Xu
, Chen Zhu
, Enhong Chen
:
InteractNet: Social Interaction Recognition for Semantic-rich Videos. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 240:1-240:21 (2024) - [j198]Shukang Yin
, Sirui Zhao
, Hao Wang
, Tong Xu
, Enhong Chen
:
Exploiting Instance-level Relationships in Weakly Supervised Text-to-Video Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(10): 316:1-316:21 (2024) - [j197]Chuang Zhao
, Hongke Zhao
, Hengshu Zhu
, Zhenya Huang
, Nan Feng
, Enhong Chen
, Hui Xiong
:
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5283-5295 (2024) - [j196]Pengfei Luo
, Xi Zhu
, Tong Xu
, Yi Zheng
, Enhong Chen
:
Semantic Interaction Matching Network for Few-Shot Knowledge Graph Completion. ACM Trans. Web 18(2): 20:1-20:19 (2024) - [j195]Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun:
A relation-aware representation approach for the question matching system. World Wide Web (WWW) 27(2): 17 (2024) - [j194]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [j193]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A survey on large language models for recommendation. World Wide Web (WWW) 27(5): 60 (2024) - [c478]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. AAAI 2024: 9178-9186 - [c477]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI 2024: 20596-20603 - [c476]Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Enhong Chen:
Generative Input: Towards Next-Generation Input Methods Paradigm. ACL (Findings) 2024: 3658-3669 - [c475]Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. ACL (Findings) 2024: 9851-9862 - [c474]Xinhang Li, Jingbo Zhou, Wei Chen
, Derong Xu, Tong Xu, Enhong Chen:
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models. ACL (1) 2024: 13250-13262 - [c473]Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen:
MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction. APWeb/WAIM (3) 2024: 224-239 - [c472]Zhijun Dong
, Likang Wu
, Kai Zhang
, Ye Liu
, Yanghai Zhang
, Zhi Li
, Hongke Zhao
, Enhong Chen
:
FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. CIKM 2024: 497-507 - [c471]Yuxiang Guo
, Shuanghong Shen
, Qi Liu
, Zhenya Huang
, Linbo Zhu
, Yu Su
, Enhong Chen
:
Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. CIKM 2024: 727-736 - [c470]Qi Liu
, Yongyi He
, Tong Xu
, Defu Lian
, Che Liu
, Zhi Zheng
, Enhong Chen
:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CIKM 2024: 1909-1919 - [c469]Wenjia Xie
, Rui Zhou
, Hao Wang
, Tingjia Shen
, Enhong Chen
:
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models. CIKM 2024: 2618-2628 - [c468]Derong Xu
, Ziheng Zhang
, Zhihong Zhu
, Zhenxi Lin
, Qidong Liu
, Xian Wu
, Tong Xu
, Wanyu Wang
, Yuyang Ye
, Xiangyu Zhao
, Enhong Chen
, Yefeng Zheng
:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CIKM 2024: 2660-2670 - [c467]Rujiao Zhang
, Hao Zhang
, Yucong Luo
, Zhiding Liu
, Mingyue Cheng
, Qi Liu
, Enhong Chen
:
Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. CIKM 2024: 4288-4292 - [c466]Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen:
MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction. LREC/COLING 2024: 11680-11691 - [c465]Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. LREC/COLING 2024: 11956-11968 - [c464]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. DASFAA (3) 2024: 115-130 - [c463]Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. DASFAA (3) 2024: 196-211 - [c462]Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen:
Unlocking the Potential of Large Language Models for Explainable Recommendations. DASFAA (5) 2024: 286-303 - [c461]Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen:
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. DASFAA (5) 2024: 349-359 - [c460]Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen:
Learning Recommender Systems with Soft Target: A Decoupled Perspective. DASFAA (3) 2024: 363-373 - [c459]Xiangfeng Wang, Zaiyi Chen, Tong Xu, Zheyong Xie, Yongyi He, Enhong Chen:
In-Context Former: Lightning-fast Compressing Context for Large Language Model. EMNLP (Findings) 2024: 2445-2460 - [c458]Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen:
Towards Explainable Computerized Adaptive Testing with Large Language Model. EMNLP (Findings) 2024: 2655-2672 - [c457]Wei Chen
, Lili Zhao, Zhi Zheng, Tong Xu, Yang Wang, Enhong Chen:
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition. EMNLP (Findings) 2024: 3172-3181 - [c456]Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen:
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding. EMNLP (Findings) 2024: 3211-3226 - [c455]Yuanjie Lyu
, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen:
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation. EMNLP 2024: 4683-4702 - [c454]Derong Xu
, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu
, Xian Wu, Tong Xu, Xiangyu Zhao
, Yefeng Zheng, Enhong Chen:
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. EMNLP (Findings) 2024: 7744-7757 - [c453]Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen:
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs. EMNLP 2024: 10156-10168 - [c452]Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen:
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting. EMNLP 2024: 13634-13651 - [c451]Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen:
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. ICASSP 2024: 10001-10005 - [c450]Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen:
Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. ICDE 2024: 667-678 - [c449]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen, Jingyun Zhang:
Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts. ICIC (LNAI 4) 2024: 459-470 - [c448]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. ICIC (LNAI 4) 2024: 471-482 - [c447]Shifeng Liu, Xinglong Mao, Sirui Zhao, Chaoyou Fu, Ying Yu, Tong Xu, Enhong Chen:
TGMAE: Self-supervised Micro-Expression Recognition with Temporal Gaussian Masked Autoencoder. ICME 2024: 1-6 - [c446]Zihan Niu, Zheyong Xie, Tong Xu, Xiangfeng Wang, Yao Hu, Ying Yu, Enhong Chen:
Knowledge-Enhanced Multi-perspective Incongruity Perception Network for Multimodal Sarcasm Detection. ICME 2024: 1-6 - [c445]Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen:
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML 2024 - [c444]Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen:
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. ICML 2024 - [c443]Yan Gao, Tong Xu, Enhong Chen:
Are Mixture-of-Modality-Experts Transformers Robust to Missing Modality During Training and Inferring? IIP (1) 2024: 157-172 - [c442]Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu:
Pre-training General User Representation with Multi-type APP Behaviors. IJCAI 2024: 5535-5544 - [c441]Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen:
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. IJCAI 2024: 6559-6568 - [c440]Fake Lin
, Ziwei Zhao
, Xi Zhu
, Da Zhang
, Shitian Shen
, Xueying Li
, Tong Xu
, Suojuan Zhang
, Enhong Chen
:
When Box Meets Graph Neural Network in Tag-aware Recommendation. KDD 2024: 1770-1780 - [c439]Mingjia Yin
, Hao Wang
, Wei Guo
, Yong Liu
, Suojuan Zhang
, Sirui Zhao
, Defu Lian
, Enhong Chen
:
Dataset Regeneration for Sequential Recommendation. KDD 2024: 3954-3965 - [c438]Chenxiao Liu
, Zheyong Xie
, Sirui Zhao
, Jin Zhou
, Tong Xu
, Minglei Li
, Enhong Chen
:
Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation. ICMR 2024: 533-542 - [c437]Liyang He
, Zhenya Huang
, Chenglong Liu
, Rui Li
, Runze Wu
, Qi Liu
, Enhong Chen
:
One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network. ACM Multimedia 2024: 7162-7171 - [c436]Pengfei Luo
, Tong Xu
, Che Liu
, Suojuan Zhang
, Linli Xu
, Minglei Li
, Enhong Chen
:
Bridging Gaps in Content and Knowledge for Multimodal Entity Linking. ACM Multimedia 2024: 9311-9320 - [c435]Zhengye Zhang
, Sirui Zhao
, Xinglong Mao
, Shifeng Liu
, Hao Wang
, Tong Xu
, Enhong Chen
:
A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting. ACM Multimedia 2024: 11497-11502 - [c434]Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen:
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models. NeurIPS 2024 - [c433]Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen:
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation. NeurIPS 2024 - [c432]Leyan Deng, Chenwang Wu, Defu Lian, Enhong Chen:
Learning from Highly Sparse Spatio-temporal Data. NeurIPS 2024 - [c431]Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou:
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation. NeurIPS 2024 - [c430]Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen:
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. NeurIPS 2024 - [c429]Jin Zhang, Ze Liu, Defu Lian, Enhong Chen:
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure. NeurIPS 2024 - [c428]Xinglong Mao, Shifeng Liu, Sirui Zhao, Yiming Zhang, Hao Wang, Tong Xu, Enhong Chen:
H2LMER: A Cross Frame-Rate Representation Alignment Framework for Micro-expression Recognition. PRCV (11) 2024: 459-472 - [c427]Jinze Wu, Haotian Zhang
, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang:
Graph-based Student Knowledge Profile for Online Intelligent Education. SDM 2024: 379-387 - [c426]Le Dai
, Yu Yin
, Enhong Chen
, Hui Xiong
:
Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification. SIGIR 2024: 2682-2686 - [c425]Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen:
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. WISE (3) 2024: 164-178 - [c424]Zhe Yang
, Qi Liu
, Kai Zhang
, Shiwei Tong
, Enhong Chen
:
GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. WSDM 2024: 901-910 - [c423]Wenjun Peng
, Guiyang Li
, Yue Jiang
, Zilong Wang
, Dan Ou
, Xiaoyi Zeng
, Derong Xu
, Tong Xu
, Enhong Chen
:
Large Language Model based Long-tail Query Rewriting in Taobao Search. WWW (Companion Volume) 2024: 20-28 - [c422]Chao Zhang
, Shiwei Wu
, Haoxin Zhang
, Tong Xu
, Yan Gao
, Yao Hu
, Enhong Chen
:
NoteLLM: A Retrievable Large Language Model for Note Recommendation. WWW (Companion Volume) 2024: 170-179 - [c421]Mingyue Cheng
, Hao Zhang
, Jiqian Yang
, Qi Liu
, Li Li
, Xin Huang
, Liwei Song
, Zhi Li
, Zhenya Huang
, Enhong Chen
:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. WWW (Companion Volume) 2024: 1035-1038 - [c420]Liyang He
, Zhenya Huang
, Jiayu Liu
, Enhong Chen
, Fei Wang
, Jing Sha
, Shijin Wang
:
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. WWW 2024: 1395-1406 - [c419]Xin Lin
, Tianhuang Su
, Zhenya Huang
, Shangzi Xue
, Haifeng Liu
, Enhong Chen
:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. WWW 2024: 1986-1997 - [c418]Yongqiang Han
, Hao Wang
, Kefan Wang
, Likang Wu
, Zhi Li
, Wei Guo
, Yong Liu
, Defu Lian
, Enhong Chen
:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [c417]Fei Wang
, Qi Liu
, Enhong Chen
, Chuanren Liu
, Zhenya Huang
, Jinze Wu
, Shijin Wang
:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW 2024: 3545-3554 - [i204]Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen:
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. CoRR abs/2401.10070 (2024) - [i203]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing Recommender System via Cooperative Training. CoRR abs/2401.12700 (2024) - [i202]Xiaoxiao Ma
, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen, Enhong Chen:
Masked Pre-trained Model Enables Universal Zero-shot Denoiser. CoRR abs/2401.14966 (2024) - [i201]Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen:
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models. CoRR abs/2401.17043 (2024) - [i200]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang
, Enhong Chen:
Understanding the planning of LLM agents: A survey. CoRR abs/2402.02716 (2024) - [i199]Yuxuan Gu, Yi Jin, Ben Wang, Zhixiang Wei, Xiaoxiao Ma, Pengyang Ling, Haoxuan Wang, Huaian Chen, Enhong Chen:
Seed Optimization with Frozen Generator for Superior Zero-shot Low-light Enhancement. CoRR abs/2402.09694 (2024) - [i198]Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen:
Communication-Efficient Distributed Learning with Local Immediate Error Compensation. CoRR abs/2402.11857 (2024) - [i197]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. CoRR abs/2402.16312 (2024) - [i196]Derong Xu
, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu
, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CoRR abs/2402.18099 (2024) - [i195]Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu:
Towards Generalist Prompting for Large Language Models by Mental Models. CoRR abs/2402.18252 (2024) - [i194]Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Di Wu, Enhong Chen:
NoteLLM: A Retrievable Large Language Model for Note Recommendation. CoRR abs/2403.01744 (2024) - [i193]Derong Xu
, Ziheng Zhang, Zhenxi Lin, Xian Wu
, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. CoRR abs/2403.01972 (2024) - [i192]Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang:
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. CoRR abs/2403.06071 (2024) - [i191]Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR abs/2403.07623 (2024) - [i190]Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. CoRR abs/2403.08305 (2024) - [i189]Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen:
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. CoRR abs/2403.08826 (2024) - [i188]Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. CoRR abs/2403.09712 (2024) - [i187]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Editing Knowledge Representation of Language Lodel via Rephrased Prefix Prompts. CoRR abs/2403.14381 (2024) - [i186]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. CoRR abs/2403.14409 (2024) - [i185]Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. CoRR abs/2403.14676 (2024) - [i184]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i183]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. CoRR abs/2404.00268 (2024) - [i182]Qi Liu, Yan Zhuang
, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen:
Survey of Computerized Adaptive Testing: A Machine Learning Perspective. CoRR abs/2404.00712 (2024) - [i181]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang
, Enhong Chen:
WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR abs/2404.07456 (2024) - [i180]Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen:
Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR abs/2404.16587 (2024) - [i179]Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen:
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. CoRR abs/2405.06232 (2024) - [i178]Ziwei Zhao, Fake Lin, Xi Zhu, Zhi Zheng, Tong Xu, Shitian Shen, Xueying Li, Zikai Yin, Enhong Chen:
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation. CoRR abs/2405.07580 (2024) - [i177]Fake Lin, Xi Zhu, Ziwei Zhao, Deqiang Huang, Yu Yu, Xueying Li, Tong Xu, Enhong Chen:
Knowledge Graph Pruning for Recommendation. CoRR abs/2405.11531 (2024) - [i176]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen:
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR abs/2405.12473 (2024) - [i175]Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Yan Gao, Yao Hu, Enhong Chen:
NoteLLM-2: Multimodal Large Representation Models for Recommendation. CoRR abs/2405.16789 (2024) - [i174]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. CoRR abs/2405.17795 (2024) - [i173]Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen:
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems. CoRR abs/2405.18708 (2024) - [i172]Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun
:
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR abs/2405.21075 (2024) - [i171]Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang:
EduNLP: Towards a Unified and Modularized Library for Educational Resources. CoRR abs/2406.01276 (2024) - [i170]Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen:
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. CoRR abs/2406.03085 (2024) - [i169]Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Yao Hu, Enhong Chen:
From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition. CoRR abs/2406.08358 (2024) - [i168]Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen:
When Box Meets Graph Neural Network in Tag-aware Recommendation. CoRR abs/2406.12020 (2024) - [i167]Xiangfeng Wang, Zaiyi Chen, Zheyong Xie, Tong Xu, Yongyi He, Enhong Chen:
In-Context Former: Lightning-fast Compressing Context for Large Language Model. CoRR abs/2406.13618 (2024) - [i166]Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen:
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation. CoRR abs/2406.14979 (2024) - [i165]Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen:
Foundations and Frontiers of Graph Learning Theory. CoRR abs/2407.03125 (2024) - [i164]Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen:
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. CoRR abs/2407.05458 (2024) - [i163]Mingjia Yin, Chuhan Wu
, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang
, Defu Lian, Enhong Chen:
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR abs/2407.06645 (2024) - [i162]Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection. CoRR abs/2407.08952 (2024) - [i161]Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen:
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. CoRR abs/2407.08967 (2024) - [i160]Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CoRR abs/2407.16160 (2024) - [i159]Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen:
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models. CoRR abs/2407.20271 (2024) - [i158]Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. CoRR abs/2408.03149 (2024) - [i157]Hong Xie, Jinyu Mo, Defu Lian, Jie Wang, Enhong Chen:
Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities. CoRR abs/2408.10865 (2024) - [i156]Hong Xie, Mingze Zhong, Defu Lian, Zhen Wang, Enhong Chen:
Analytical and Empirical Study of Herding Effects in Recommendation Systems. CoRR abs/2408.10895 (2024) - [i155]Ze Liu, Jin Zhang, Chao Feng, Defu Lian, Jie Wang, Enhong Chen:
Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method. CoRR abs/2408.11345 (2024) - [i154]Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. CoRR abs/2408.11372 (2024) - [i153]Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou:
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation. CoRR abs/2408.16730 (2024) - [i152]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i151]Yuanjie Lyu, Tong Xu, Zihan Niu, Bo Peng, Jing Ke, Enhong Chen:
Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM. CoRR abs/2409.09362 (2024) - [i150]Wenjia Xie, Rui Zhou, Hao Wang, Tingjia Shen, Enhong Chen:
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models. CoRR abs/2409.10522 (2024) - [i149]Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, Yi Li, Jian Cui, Zimu Liu, Shijin Wang, Guoping Hu, Guiquan Liu, Qi Liu, Defu Lian, Enhong Chen:
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. CoRR abs/2409.13989 (2024) - [i148]Li Li, Mingyue Cheng, Zhiding Liu, Hao Zhang, Qi Liu, Enhong Chen:
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation. CoRR abs/2409.14810 (2024) - [i147]Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen:
Revisiting the Solution of Meta KDD Cup 2024: CRAG. CoRR abs/2409.15337 (2024) - [i146]Shiwei Wu, Chen Zhang, Yan Gao, Qimeng Wang, Tong Xu, Yao Hu, Enhong Chen:
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents. CoRR abs/2410.00526 (2024) - [i145]Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen:
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting. CoRR abs/2410.05711 (2024) - [i144]Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen:
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. CoRR abs/2410.05877 (2024) - [i143]Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen:
Learning Recommender Systems with Soft Target: A Decoupled Perspective. CoRR abs/2410.06536 (2024) - [i142]Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen:
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting. CoRR abs/2410.07549 (2024) - [i141]Derong Xu
, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. CoRR abs/2410.15702 (2024) - [i140]Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting. CoRR abs/2410.22981 (2024) - [i139]Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen:
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. CoRR abs/2410.23994 (2024) - [i138]Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen:
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. CoRR abs/2411.15005 (2024) - [i137]Jiahao Wang, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen:
TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models. CoRR abs/2411.15737 (2024) - [i136]Suyuan Huang, Chao Zhang, Yuanyuan Wu, Haoxin Zhang, Yuan Wang, Maolin Wang, Shaosheng Cao, Tong Xu, Xiangyu Zhao, Zengchang Qin, Yan Gao, Yunhan Bai, Jun Fan, Yao Hu, Enhong Chen:
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval. CoRR abs/2411.15766 (2024) - [i135]Shukang Yin, Chaoyou Fu, Sirui Zhao, Yunhang Shen, Chunjiang Ge, Yan Yang, Zuwei Long, Yuhan Dai, Tong Xu, Xing Sun
, Ran He, Caifeng Shan, Enhong Chen:
T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs. CoRR abs/2411.19951 (2024) - [i134]Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen:
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR abs/2412.00430 (2024) - [i133]Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen:
Scaling New Frontiers: Insights into Large Recommendation Models. CoRR abs/2412.00714 (2024) - [i132]Yiming Zhou, Yifei Cheng, Linli Xu, Enhong Chen:
Adaptive Weighting Push-SUM for Decentralized Optimization with Statistical Diversity. CoRR abs/2412.07252 (2024) - [i131]Liyang He, Yuren Zhang, Rui Li, Zhenya Huang, Runze Wu, Enhong Chen:
A Flexible Plug-and-Play Module for Generating Variable-Length. CoRR abs/2412.08922 (2024) - [i130]Jia-Yu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen:
What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis. CoRR abs/2412.12157 (2024) - [i129]Derong Xu
, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen:
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. CoRR abs/2412.18537 (2024) - [i128]Yitong Zhou, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen:
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. CoRR abs/2412.20662 (2024) - 2023
- [j192]Mingdi Hu, Long Bai, Jiulun Fan, Sirui Zhao, Enhong Chen:
Vehicle color recognition based on smooth modulation neural network with multi-scale feature fusion. Frontiers Comput. Sci. 17(3): 173321 (2023) - [j191]Qi Zhang
, Hengshu Zhu
, Peng Wang
, Enhong Chen
, Hui Xiong
:
Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 82:1-82:21 (2023) - [j190]Jia-Yu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, En-Hong Chen, Yu Su:
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems. J. Comput. Sci. Technol. 38(6): 1203-1222 (2023) - [j189]Wei Huang
, Tong Xiao, Qi Liu, Zhenya Huang, Jianhui Ma, Enhong Chen:
HMNet: a hierarchical multi-modal network for educational video concept prediction. Int. J. Mach. Learn. Cybern. 14(9): 2913-2924 (2023) - [j188]Yifei Cheng
, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen:
Communication-efficient federated learning with stagewise training strategy. Neural Networks 167: 460-472 (2023) - [j187]Chenwang Wu
, Defu Lian
, Yong Ge
, Zhihao Zhu
, Enhong Chen
:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j186]Zongda Wu
, Jian Xie
, Shigen Shen
, Chongze Lin
, Guandong Xu
, Enhong Chen
:
A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 146:1-146:19 (2023) - [j185]Zheyong Xie
, Weidong He
, Tong Xu
, Shiwei Wu
, Chen Zhu
, Ping Yang
, Enhong Chen
:
Comprehending the Gossips: Meme Explanation in Time-Sync Video Comment via Multimodal Cues. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(8): 216:1-216:17 (2023) - [j184]Zikai Yin
, Tong Xu
, Ziwei Zhao, Aakas Zhiyuli, Xueying Li
, Enhong Chen
:
Competition Analysis on Enterprise Ecosystems via Multiview Relational Hypergraph Embedding. IEEE Trans. Comput. Soc. Syst. 10(6): 3054-3065 (2023) - [j183]Pengyang Ling
, Huaian Chen
, Xiao Tan
, Yi Jin
, Enhong Chen
:
Single Image Dehazing Using Saturation Line Prior. IEEE Trans. Image Process. 32: 3238-3253 (2023) - [j182]Xiao Tan
, Huaian Chen
, Rui Zhang
, Qihan Wang, Yan Kan
, Jinjin Zheng
, Yi Jin
, Enhong Chen
:
Deep Multi-Exposure Image Fusion for Dynamic Scenes. IEEE Trans. Image Process. 32: 5310-5325 (2023) - [j181]Likang Wu
, Hongke Zhao
, Zhi Li
, Zhenya Huang
, Qi Liu
, Enhong Chen
:
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. ACM Trans. Knowl. Discov. Data 17(8): 110:1-110:23 (2023) - [j180]Ye Liu
, Han Wu
, Zhenya Huang
, Hao Wang
, Yuting Ning
, Jianhui Ma
, Qi Liu
, Enhong Chen
:
TechPat: Technical Phrase Extraction for Patent Mining. ACM Trans. Knowl. Discov. Data 17(9): 129:1-129:31 (2023) - [j179]Kai Zhang
, Qi Liu
, Hao Qian
, Biao Xiang
, Qing Cui
, Jun Zhou, Enhong Chen
:
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(1): 377-389 (2023) - [j178]Hao Wang
, Defu Lian
, Hanghang Tong, Qi Liu
, Zhenya Huang
, Enhong Chen
:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023) - [j177]Defu Lian
, Zhihao Zhu
, Kai Zheng
, Yong Ge
, Xing Xie
, Enhong Chen
:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j176]Chuan Qin
, Kaichun Yao
, Hengshu Zhu
, Tong Xu
, Dazhong Shen
, Enhong Chen
, Hui Xiong
:
Towards Automatic Job Description Generation With Capability-Aware Neural Networks. IEEE Trans. Knowl. Data Eng. 35(5): 5341-5355 (2023) - [j175]Hanqing Tao
, Guanqi Zhu, Enhong Chen
, Shiwei Tong
, Kun Zhang
, Tong Xu
, Qi Liu
, Yew-Soon Ong
:
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6043-6057 (2023) - [j174]Shuanghong Shen
, Enhong Chen
, Qi Liu
, Zhenya Huang
, Wei Huang
, Yu Yin
, Yu Su, Shijin Wang:
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing. IEEE Trans. Knowl. Data Eng. 35(8): 8213-8227 (2023) - [j173]Fei Wang
, Qi Liu
, Enhong Chen
, Zhenya Huang
, Yu Yin
, Shijin Wang, Yu Su:
NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Trans. Knowl. Data Eng. 35(8): 8312-8327 (2023) - [j172]Wei Huang
, Enhong Chen
, Qi Liu
, Hui Xiong
, Zhenya Huang
, Shiwei Tong
, Dan Zhang:
HmcNet: A General Approach for Hierarchical Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 35(9): 8713-8728 (2023) - [j171]Zaixi Zhang
, Qi Liu
, Zhenya Huang
, Hao Wang
, Chee-Kong Lee, Enhong Chen
:
Model Inversion Attacks Against Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 8729-8741 (2023) - [j170]Leyan Deng
, Chenwang Wu
, Defu Lian
, Yongji Wu, Enhong Chen
:
Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12310-12322 (2023) - [j169]Fei Wang
, Zhenya Huang
, Qi Liu
, Enhong Chen
, Yu Yin
, Jianhui Ma, Shijin Wang:
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. IEEE Trans. Learn. Technol. 16(3): 306-323 (2023) - [j168]Kun Zhang
, Guangyi Lv
, Le Wu
, Enhong Chen
, Qi Liu
, Meng Wang
:
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE Trans. Neural Networks Learn. Syst. 34(2): 853-866 (2023) - [j167]Liyi Chen
, Zhi Li, Weidong He, Gong Cheng
, Tong Xu
, Nicholas Jing Yuan, Enhong Chen
:
Entity Summarization via Exploiting Description Complementarity and Salience. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8297-8309 (2023) - [j166]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao
, Baoxing Huai, Xian Wu
, Enhong Chen:
Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Trans. Inf. Syst. 41(1): 3:1-3:32 (2023) - [j165]Chao Feng, Defu Lian
, Xiting Wang
, Zheng Liu
, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j164]Zhenya Huang
, Binbin Jin
, Hongke Zhao
, Qi Liu
, Defu Lian
, Tengfei Bao
, Enhong Chen
:
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. ACM Trans. Inf. Syst. 41(2): 44:1-44:29 (2023) - [j163]Qi Liu
, Jinze Wu
, Zhenya Huang
, Hao Wang
, Yuting Ning
, Ming Chen
, Enhong Chen
, Jinfeng Yi
, Bowen Zhou:
Federated User Modeling from Hierarchical Information. ACM Trans. Inf. Syst. 41(2): 46:1-46:33 (2023) - [j162]Liyang He
, Zhenya Huang
, Enhong Chen
, Qi Liu
, Shiwei Tong
, Hao Wang
, Defu Lian
, Shijin Wang
:
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. 41(4): 91:1-91:31 (2023) - [j161]Sirui Zhao, Hongyu Jiang
, Hanqing Tao
, Rui Zha, Kun Zhang
, Tong Xu, Enhong Chen
:
PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 132:1-132:21 (2023) - [j160]Suojuan Zhang, Song Huang, Xiaohan Yu, Enhong Chen, Fei Wang, Zhenya Huang:
A generalized multi-skill aggregation method for cognitive diagnosis. World Wide Web (WWW) 26(2): 585-614 (2023) - [j159]Qingyang Wang, Chenwang Wu, Defu Lian
, Enhong Chen:
Securing recommender system via cooperative training. World Wide Web (WWW) 26(6): 3915-3943 (2023) - [c416]Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - [c415]Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu:
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. AAAI 2023: 5018-5026 - [c414]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong
, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. AAAI 2023: 13409-13418 - [c413]Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen:
Enhancing Hierarchical Text Classification through Knowledge Graph Integration. ACL (Findings) 2023: 5797-5810 - [c412]Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan:
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. ACL (Findings) 2023: 8683-8696 - [c411]Wei Chen
, Lili Zhao
, Pengfei Luo
, Tong Xu
, Yi Zheng
, Enhong Chen
:
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. CIKM 2023: 296-305 - [c410]Yuting Hong
, Shiwei Tong
, Wei Huang
, Yan Zhuang
, Qi Liu
, Enhong Chen
, Xin Li
, Yuanjing He
:
Search-Efficient Computerized Adaptive Testing. CIKM 2023: 773-782 - [c409]Mingjia Yin
, Hao Wang
, Xiang Xu
, Likang Wu
, Sirui Zhao
, Wei Guo
, Yong Liu
, Ruiming Tang
, Defu Lian
, Enhong Chen
:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM 2023: 3009-3019 - [c408]Sanshi Lei Yu
, Qi Liu
, Fei Wang
, Yang Yu
, Enhong Chen
:
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. CIKM 2023: 3073-3082 - [c407]Chao Zhang
, Fangzhao Wu
, Jingwei Yi
, Derong Xu
, Yang Yu
, Jindong Wang
, Yidong Wang
, Tong Xu
, Xing Xie
, Enhong Chen
:
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM 2023: 3257-3267 - [c406]Guanhao Zhao
, Zhenya Huang
, Yan Zhuang
, Jiayu Liu
, Qi Liu
, Zhiding Liu
, Jinze Wu
, Enhong Chen
:
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. CIKM 2023: 3423-3432 - [c405]Long Zhao
, Youzhi Huang
, Yanyan Wang
, Yin Xu
, Qiangzhong Feng
, Enhong Chen
:
Base Station Traffic Prediction based on Feature Selection and Stacking Ensemble Learning. CNIOT 2023: 113-117 - [c404]Xi Zhu
, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Enhong Chen:
Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning. DASFAA (3) 2023: 31-41 - [c403]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian
, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [c402]Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen:
Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. DASFAA (2) 2023: 622-638 - [c401]Runlong Yu
, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. ICDE 2023: 3801-3802 - [c400]Derong Xu
, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou:
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. ICDE 2023: 3928-3941 - [c399]Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. ICLR 2023 - [c398]Shukang Yin, Shiwei Wu, Tong Xu, Shifeng Liu, Sirui Zhao, Enhong Chen:
AU-aware graph convolutional network for Macroand Micro-expression spotting. ICME 2023: 228-233 - [c397]Yiming Zhang, Hao Wang, Yifan Xu, Xinglong Mao, Tong Xu, Sirui Zhao, Enhong Chen:
Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition. ICME 2023: 1391-1396 - [c396]Wenjun Peng, Weidong He, Derong Xu
, Tong Xu, Chen Zhu, Enhong Chen:
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement. ICME 2023: 2609-2614 - [c395]Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang:
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. ICML 2023: 41786-41818 - [c394]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c393]Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang:
Exploiting Non-Interactive Exercises in Cognitive Diagnosis. IJCAI 2023: 2397-2405 - [c392]Yichao Du, Zhengsheng Guo, Jinchuan Tian, Zhirui Zhang, Xing Wang, Jianwei Yu, Zhaopeng Tu, Tong Xu, Enhong Chen:
The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks. IWSLT@ACL 2023: 79-88 - [c391]Shuangli Li
, Jingbo Zhou
, Ji Liu
, Tong Xu
, Enhong Chen
, Hui Xiong
:
Multi-Temporal Relationship Inference in Urban Areas. KDD 2023: 1316-1327 - [c390]Wuchao Li
, Chao Feng
, Defu Lian
, Yuxin Xie
, Haifeng Liu
, Yong Ge
, Enhong Chen
:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD 2023: 1353-1362 - [c389]Jiayu Liu
, Zhenya Huang
, Zhiyuan Ma
, Qi Liu
, Enhong Chen
, Tianhuang Su
, Haifeng Liu
:
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. KDD 2023: 1477-1488 - [c388]Pengfei Luo
, Tong Xu
, Shiwei Wu
, Chen Zhu
, Linli Xu
, Enhong Chen
:
Multi-Grained Multimodal Interaction Network for Entity Linking. KDD 2023: 1583-1594 - [c387]Likang Wu
, Zhi Li, Hongke Zhao
, Zhefeng Wang
, Qi Liu, Baoxing Huai
, Nicholas Jing Yuan
, Enhong Chen
:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. KDD 2023: 2618-2628 - [c386]Chenwang Wu
, Xiting Wang
, Defu Lian
, Xing Xie
, Enhong Chen
:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c385]Bihan Xu
, Zhenya Huang
, Jiayu Liu
, Shuanghong Shen
, Qi Liu
, Enhong Chen
, Jinze Wu
, Shijin Wang
:
Learning Behavior-oriented Knowledge Tracing. KDD 2023: 2789-2800 - [c384]Runlong Yu
, Xiang Xu
, Yuyang Ye
, Qi Liu
, Enhong Chen
:
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. KDD 2023: 3151-3161 - [c383]Wenjun Peng, Derong Xu
, Tong Xu, Jianjin Zhang, Enhong Chen:
Are GPT Embeddings Useful for Ads and Recommendation? KSEM (4) 2023: 151-162 - [c382]Minghao Liu
, Haiyi Liu
, Sirui Zhao
, Fei Ma
, Minglei Li
, Zonghong Dai
, Hao Wang
, Tong Xu
, Enhong Chen
:
STAN: Spatial-Temporal Awareness Network for Temporal Action Detection. MMSports@MM 2023: 161-165 - [c381]Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen:
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. NeurIPS 2023 - [c380]Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen:
Knowledge Distillation for High Dimensional Search Index. NeurIPS 2023 - [c379]Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen:
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. NeurIPS 2023 - [c378]Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li:
A Bounded Ability Estimation for Computerized Adaptive Testing. NeurIPS 2023 - [c377]Ziwei Zhao
, Xi Zhu
, Tong Xu
, Aakas Lizhiyu
, Yu Yu
, Xueying Li
, Zikai Yin
, Enhong Chen
:
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. SIGIR 2023: 822-831 - [c376]Longhu Qin
, Jiayu Liu
, Zhenya Huang
, Kai Zhang
, Qi Liu
, Binbin Jin
, Enhong Chen
:
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. SIGIR 2023: 1750-1754 - [c375]Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang:
Learning from Crowds with Annotation Reliability. SIGIR 2023: 2103-2107 - [c374]Yujie Chen
, Runlong Yu
, Qi Liu
, Enhong Chen
, Zhenya Huang
:
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. SIGIR 2023: 2496-2500 - [c373]Defu Lian
, Xu Huang
, Xiaolong Chen
, Jin Chen
, Xingmei Wang
, Yankai Wang
, Haoran Jin
, Rui Fan
, Zheng Liu
, Le Wu
, Enhong Chen
:
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c372]Yu Yin
, Le Dai
, Zhenya Huang
, Shuanghong Shen
, Fei Wang
, Qi Liu
, Enhong Chen
, Xin Li
:
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. WWW 2023: 855-864 - [c371]Rui Fan
, Yuanhao Pu
, Jin Chen
, Zhihao Zhu
, Defu Lian
, Enhong Chen
:
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. WWW 2023: 1032-1042 - [c370]Xu Huang
, Defu Lian
, Jin Chen
, Zheng Liu
, Xing Xie
, Enhong Chen
:
Cooperative Retriever and Ranker in Deep Recommenders. WWW 2023: 1150-1161 - [c369]Zhihao Zhu
, Chenwang Wu
, Rui Fan
, Defu Lian
, Enhong Chen
:
Membership Inference Attacks Against Sequential Recommender Systems. WWW 2023: 1208-1219 - [c368]Mingyue Cheng
, Qi Liu
, Zhiding Liu
, Zhi Li
, Yucong Luo
, Enhong Chen
:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW 2023: 1437-1445 - [c367]Yin Gu
, Kai Zhang
, Qi Liu
, Xin Lin
, Zhenya Huang
, Enhong Chen
:
MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. WWW 2023: 2710-2718 - [c366]Zepu Lu
, Defu Lian
, Jin Zhang
, Zaixi Zhang
, Chao Feng
, Hao Wang
, Enhong Chen
:
Differentiable Optimized Product Quantization and Beyond. WWW 2023: 3353-3363 - [i127]Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Hanqing Tao, Hao Wang, Tong Xu, Enhong Chen:
More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates. CoRR abs/2301.00985 (2023) - [i126]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. CoRR abs/2301.07558 (2023) - [i125]Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu:
A Novel Approach for Auto-Formulation of Optimization Problems. CoRR abs/2302.04643 (2023) - [i124]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. CoRR abs/2302.09818 (2023) - [i123]Yichao Du, Zhirui Zhang, Bingzhe Wu
, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. CoRR abs/2302.12211 (2023) - [i122]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian
, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - [i121]Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang
, Rujiao Zhang, Enhong Chen:
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. CoRR abs/2303.00320 (2023) - [i120]Shukang Yin, Shiwei Wu, Tong Xu, Shifeng Liu, Sirui Zhao, Enhong Chen:
AU-aware graph convolutional network for Macro- and Micro-expression spotting. CoRR abs/2303.09114 (2023) - [i119]Shuanghong Shen, Enhong Chen, Bihan Xu, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su:
Quiz-based Knowledge Tracing. CoRR abs/2304.02413 (2023) - [i118]Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen:
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design. CoRR abs/2304.12436 (2023) - [i117]Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen:
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement. CoRR abs/2305.12348 (2023) - [i116]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A Survey on Large Language Models for Recommendation. CoRR abs/2305.19860 (2023) - [i115]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. CoRR abs/2306.08487 (2023) - [i114]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i113]Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong:
Multi-Temporal Relationship Inference in Urban Areas. CoRR abs/2306.08921 (2023) - [i112]Yan Zhuang
, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen:
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. CoRR abs/2306.10512 (2023) - [i111]Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen:
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design. CoRR abs/2306.11768 (2023) - [i110]Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun
, Tong Xu, Enhong Chen:
A Survey on Multimodal Large Language Models. CoRR abs/2306.13549 (2023) - [i109]Chao Zhang, Shiwei Wu, Sirui Zhao, Tong Xu, Enhong Chen:
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference. CoRR abs/2306.14412 (2023) - [i108]Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng:
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence. CoRR abs/2307.05623 (2023) - [i107]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. CoRR abs/2307.05722 (2023) - [i106]Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong:
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms. CoRR abs/2307.07134 (2023) - [i105]Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen:
Multi-Grained Multimodal Interaction Network for Entity Linking. CoRR abs/2307.09721 (2023) - [i104]Jin Chen, Zheng Liu
, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian
, Enhong Chen:
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i103]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian
, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR abs/2308.08563 (2023) - [i102]Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen:
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance. CoRR abs/2309.00300 (2023) - [i101]Jin Zhang, Defu Lian
, Hong Xie, Yawen Li, Enhong Chen:
Interactive Graph Convolutional Filtering. CoRR abs/2309.01453 (2023) - [i100]Zheli Xiong, Defu Lian
, Enhong Chen, Gang Chen, Xiaomin Cheng:
Large-Scale OD Matrix Estimation with A Deep Learning Method. CoRR abs/2310.05753 (2023) - [i99]Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun
, Enhong Chen:
Woodpecker: Hallucination Correction for Multimodal Large Language Models. CoRR abs/2310.16045 (2023) - [i98]Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. CoRR abs/2311.00388 (2023) - [i97]Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Shijin Wang, Cong Liu, Enhong Chen:
Generative Input: Towards Next-Generation Input Methods Paradigm. CoRR abs/2311.01166 (2023) - [i96]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang
, Defu Lian
, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR abs/2311.02816 (2023) - [i95]Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu
, Tong Xu, Enhong Chen:
Large Language Model based Long-tail Query Rewriting in Taobao Search. CoRR abs/2311.03758 (2023) - [i94]Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian
, Enhong Chen:
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR abs/2312.10943 (2023) - [i93]Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian
, Enhong Chen:
Model Stealing Attack against Recommender System. CoRR abs/2312.11571 (2023) - [i92]Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen:
Unlocking the Potential of Large Language Models for Explainable Recommendations. CoRR abs/2312.15661 (2023) - [i91]Lixiang Xu, Qingzhe Cui, Richang Hong, Wei Xu, Enhong Chen, Xin Yuan
, Chenglong Li, Yuanyan Tang:
Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding. CoRR abs/2312.16477 (2023) - [i90]Derong Xu
, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu
, Yefeng Zheng, Enhong Chen:
Large Language Models for Generative Information Extraction: A Survey. CoRR abs/2312.17617 (2023) - 2022
- [j158]Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan:
Accelerating local SGD for non-IID data using variance reduction. Frontiers Comput. Sci. 17(2): 172311 (2022) - [j157]Wei Cao, Kun Zhang, Han Wu, Tong Xu, Enhong Chen, Guangyi Lv, Ming He
:
Video emotion analysis enhanced by recognizing emotion in video comments. Int. J. Data Sci. Anal. 14(2): 175-189 (2022) - [j156]Enhong Chen, Yufeng Li, Quan Zou:
Preface to the Special Issue on Robust Machine Learning for Open Scenarios. Int. J. Softw. Informatics 12(2): 153-156 (2022) - [j155]Amadu Fullah Kamara, Enhong Chen, Zhen Pan:
An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices. Inf. Sci. 594: 1-19 (2022) - [j154]Dong Liu, Zhengchao Chang, Guoliang Yang, Enhong Chen:
Hiding ourselves from community detection through genetic algorithms. Inf. Sci. 614: 123-137 (2022) - [j153]Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen:
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. J. Comput. Sci. Technol. 37(6): 1464-1477 (2022) - [j152]Huijie Liu
, Han Wu, Le Zhang, Runlong Yu
, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen:
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting. Knowl. Inf. Syst. 64(7): 1723-1757 (2022) - [j151]Zhe Zhang, Hui Xiong, Tong Xu
, Chuan Qin, Le Zhang, Enhong Chen:
Complex Attributed Network Embedding for medical complication prediction. Knowl. Inf. Syst. 64(9): 2435-2456 (2022) - [j150]Dong Liu
, Zhengchao Chang, Guoliang Yang, Enhong Chen:
Community hiding using a graph autoencoder. Knowl. Based Syst. 253: 109495 (2022) - [j149]Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie:
Graph-based cognitive diagnosis for intelligent tutoring systems. Knowl. Based Syst. 253: 109547 (2022) - [j148]Sirui Zhao
, Huaying Tang
, Shifeng Liu, Yangsong Zhang, Hao Wang, Tong Xu, Enhong Chen, Cuntai Guan:
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition. Neural Networks 153: 427-443 (2022) - [j147]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
:
Estimating fund-raising performance for start-up projects from a market graph perspective. Pattern Recognit. 121: 108204 (2022) - [j146]Joya Chen
, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu, Enhong Chen:
Residual objectness for imbalance reduction. Pattern Recognit. 130: 108781 (2022) - [j145]Wei Cao
, Kun Zhang
, Shulan Ruan
, Hanqing Tao
, Sirui Zhao, Hao Wang, Qi Liu
, Enhong Chen
:
Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. IEEE Trans. Affect. Comput. 13(4): 1743-1758 (2022) - [j144]Guangyi Lv
, Kun Zhang
, Le Wu, Enhong Chen
, Tong Xu
, Qi Liu
, Weidong He:
Understanding the Users and Videos by Mining a Novel Danmu Dataset. IEEE Trans. Big Data 8(2): 535-551 (2022) - [j143]Liang He
, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen
, Huanhuan Xia:
Neurally-Guided Semantic Navigation in Knowledge Graph. IEEE Trans. Big Data 8(3): 607-615 (2022) - [j142]Dong Liu
, Guoliang Yang, Yanwei Wang, Hu Jin
, Enhong Chen
:
How to Protect Ourselves From Overlapping Community Detection in Social Networks. IEEE Trans. Big Data 8(4): 894-904 (2022) - [j141]Minghui Duan
, Huaian Chen
, Zheng Sun
, Yabing Zheng
, Yi Jin
, Jinjin Zheng
, Changan Zhu
, Enhong Chen
:
Quasi-Periodic Phase Coding for Long-Depth-Range 3-D Measurements of Moving Objects. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j140]Yabing Zheng
, Minghui Duan
, Zheng Sun
, Xin Fan
, Yi Jin
, Jinjin Zheng
, Changan Zhu
, Enhong Chen
:
A Universal Self-Correcting Approach for Abnormal Jump Errors in Absolute Phase Retrieval. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j139]Xianwei Meng
, Hao Fu
, Liqun Peng
, Guiquan Liu
, Yang Yu, Zhong Wang
, Enhong Chen
:
D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data. IEEE Trans. Intell. Transp. Syst. 23(3): 2021-2030 (2022) - [j138]Runlong Yu
, Qi Liu
, Yuyang Ye
, Mingyue Cheng
, Enhong Chen
, Jianhui Ma:
Collaborative List-and-Pairwise Filtering From Implicit Feedback. IEEE Trans. Knowl. Data Eng. 34(6): 2667-2680 (2022) - [j137]Defu Lian
, Jin Chen, Kai Zheng
, Enhong Chen
, Xiaofang Zhou
:
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 34(12): 5951-5963 (2022) - [j136]Yanan Wang
, Tong Xu
, Xin Niu, Chang Tan, Enhong Chen
, Hui Xiong:
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control. IEEE Trans. Mob. Comput. 21(6): 2228-2242 (2022) - [j135]Leyan Deng
, Defu Lian
, Zhenya Huang
, Enhong Chen
:
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2416-2428 (2022) - [j134]Huaian Chen
, Yi Jin
, Guoqiang Jin
, Changan Zhu
, Enhong Chen
:
Semisupervised Semantic Segmentation by Improving Prediction Confidence. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4991-5003 (2022) - [j133]Dazhong Shen
, Chuan Qin
, Hengshu Zhu
, Tong Xu, Enhong Chen
, Hui Xiong:
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. ACM Trans. Inf. Syst. 40(1): 15:1-15:36 (2022) - [j132]Hao Wang, Defu Lian
, Hanghang Tong, Qi Liu, Zhenya Huang
, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j131]Dan Li, Tong Xu, Peilun Zhou, Weidong He, Yanbin Hao, Yi Zheng, Enhong Chen:
Social Context-aware Person Search in Videos via Multi-modal Cues. ACM Trans. Inf. Syst. 40(3): 52:1-52:25 (2022) - [j130]Chao Wang
, Hengshu Zhu
, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. ACM Trans. Inf. Syst. 40(4): 70:1-70:32 (2022) - [c365]Jin Zhang
, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c364]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. ACL (Findings) 2022: 3599-3610 - [c363]Zheyong Xie, Shiwei Wu, Jia Su, Tong Xu, Enhong Chen:
Dialogue-enriched Knowledge Point Recommendation for Consultation Task. CCIS 2022: 40-45 - [c362]Changkai Feng, Wei Chen, Chao Chen, Tong Xu, Enhong Chen:
Multimodal Representation Learning-Based Product Matching. CCKS (Evaluation Track) 2022: 180-190 - [c361]Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen:
Dynamic Clustering Federated Learning for Non-IID Data. CICAI (3) 2022: 119-131 - [c360]Cong Wang, Zhi Zheng, Tong Xu, Zikai Yin, Enhong Chen:
Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network. CICAI (2) 2022: 218-229 - [c359]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CICAI (3) 2022: 248-259 - [c358]Yuanjie Lyu
, Chen Zhu, Tong Xu, Zikai Yin, Enhong Chen:
Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer. CIKM 2022: 1410-1419 - [c357]Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen:
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. CIKM 2022: 2691-2700 - [c356]Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen:
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation. CVPR 2022: 7171-7180 - [c355]Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, Enhong Chen:
Non-Parametric Domain Adaptation for End-to-End Speech Translation. EMNLP 2022: 306-320 - [c354]Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Text Matching via Virtual Interaction. EMNLP 2022: 914-925 - [c353]Ran Bi, Tongtong Xu, Mingxue Xu, Enhong Chen:
PaddlePaddle: A Production-Oriented Deep Learning Platform Facilitating the Competency of Enterprises. HPCC/DSS/SmartCity/DependSys 2022: 92-99 - [c352]Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen:
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. ICDM 2022: 269-278 - [c351]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model - Learning Compound Router for Sequential Recommendation. ICDM 2022: 289-298 - [c350]Le Dai
, Yu Yin, Chuan Qin
, Enhong Chen, Hui Xiong:
Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. ICDM 2022: 909-914 - [c349]Rijin Jin, Sirui Zhao, Zhongkai Hao, Yifan Xu, Tong Xu, Enhong Chen:
AVT: Au-Assisted Visual Transformer for Facial Expression Recognition. ICIP 2022: 2661-2665 - [c348]Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang:
Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. ICTAI 2022: 467-475 - [c347]Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen:
Multi-Relational Graph Convolution Network for Stock Movement Prediction. IJCNN 2022: 1-8 - [c346]Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen:
Text Classification via Learning Semantic Dependency and Association. IJCNN 2022: 1-8 - [c345]Qiyue Qiu, Tong Xu, Enhong Chen:
Visual-Enhanced End-to-End Neural Diarization. IVSP 2022: 125-130 - [c344]Liyi Chen
, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen:
Multi-modal Siamese Network for Entity Alignment. KDD 2022: 118-126 - [c343]Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu
, Wei Huang
, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang:
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. KDD 2022: 904-913 - [c342]Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang
, Enhong Chen, Dan Zhang:
Incremental Cognitive Diagnosis for Intelligent Education. KDD 2022: 1760-1770 - [c341]Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu
, Tong Xu, Enhong Chen, Xiangyu Zhao
:
DDR: Dialogue Based Doctor Recommendation for Online Medical Service. KDD 2022: 4592-4600 - [c340]Xiangyang Liu, Weidong He, Tong Xu, Enhong Chen:
Low-Quality itDanMu Detection via Eye-Tracking Patterns. KSEM (3) 2022: 247-259 - [c339]Derong Xu
, Tong Xu, Shiwei Wu, Jingbo Zhou, Enhong Chen:
Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion. ACM Multimedia 2022: 3857-3866 - [c338]Sirui Zhao, Shukang Yin, Huaying Tang, Rijin Jin, Yifan Xu, Tong Xu, Enhong Chen:
Fine-grained Micro-Expression Generation based on Thin-Plate Spline and Relative AU Constraint. ACM Multimedia 2022: 7150-7154 - [c337]Wenhao Leng, Sirui Zhao, Yiming Zhang, Shifeng Liu, Xinglong Mao, Hao Wang, Tong Xu, Enhong Chen:
ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting. ACM Multimedia 2022: 7160-7164 - [c336]Penggang Qin, Jiarui Yu
, Yan Gao, Derong Xu
, Yunkai Chen, Shiwei Wu, Tong Xu, Enhong Chen, Yanbin Hao:
Unified QA-aware Knowledge Graph Generation Based on Multi-modal Modeling. ACM Multimedia 2022: 7185-7189 - [c335]Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. NeurIPS 2022 - [c334]Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen:
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. NeurIPS 2022 - [c333]Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen:
Recommender Forest for Efficient Retrieval. NeurIPS 2022 - [c332]Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen:
DARE: Disentanglement-Augmented Rationale Extraction. NeurIPS 2022 - [c331]Hanqing Tao
, Guanqi Zhu
, Tong Xu
, Qi Liu
, Enhong Chen
:
Teaching Text Classification Models Some Common Sense via Q &A Statistics: A Light and Transplantable Approach. NLPCC (1) 2022: 593-605 - [c330]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian
, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) 2022: 251-268 - [c329]Rui Fan
, Jin Chen, Jin Zhang
, Defu Lian
, Enhong Chen:
Improving Implicit Alternating Least Squares with Ring-based Regularization. SIGIR 2022: 102-111 - [c328]Yan Zhuang
, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang:
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. SIGIR 2022: 416-426 - [c327]Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen:
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. SIGIR 2022: 427-437 - [c326]Chao Feng, Defu Lian
, Zheng Liu
, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c325]Kai Zhang
, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. SIGIR 2022: 1566-1576 - [c324]Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang
, Runlong Yu:
Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. SIGIR 2022: 2195-2200 - [c323]Ruixin Li, Yu Yin, Le Dai
, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen:
PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing. SIGIR 2022: 2601-2606 - [c322]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. SIGIR 2022: 2704-2708 - [c321]Qingyang Wang, Defu Lian
, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. WISE 2022: 564-578 - [c320]Song Cheng
, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su:
AdaptKT: A Domain Adaptable Method for Knowledge Tracing. WSDM 2022: 123-131 - [c319]Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian:
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW 2022: 112-121 - [c318]Mingyue Cheng
, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen:
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. WWW 2022: 1923-1932 - [c317]Jin Chen, Defu Lian
, Binbin Jin, Xu Huang
, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW 2022: 1944-1954 - [c316]Jin Chen, Defu Lian
, Binbin Jin, Kai Zheng, Enhong Chen:
Learning Recommenders for Implicit Feedback with Importance Resampling. WWW 2022: 1997-2005 - [c315]Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu
, Xiangyu Zhao
, Enhong Chen, Hui Xiong:
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. WWW 2022: 2268-2276 - [e5]Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang
, Dan Huang:
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1496, Springer 2022, ISBN 978-981-16-9708-1 [contents] - [e4]João Gama, Tianrui Li
, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13280, Springer 2022, ISBN 978-3-031-05932-2 [contents] - [e3]João Gama, Tianrui Li
, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13281, Springer 2022, ISBN 978-3-031-05935-3 [contents] - [e2]João Gama, Tianrui Li
, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13282, Springer 2022, ISBN 978-3-031-05980-3 [contents] - [i89]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i88]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. CoRR abs/2203.16369 (2022) - [i87]Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen:
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation. CoRR abs/2204.03838 (2022) - [i86]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. CoRR abs/2204.08229 (2022) - [i85]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR abs/2205.08772 (2022) - [i84]Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, Enhong Chen:
Non-Parametric Domain Adaptation for End-to-End Speech Translation. CoRR abs/2205.11211 (2022) - [i83]Jin Chen, Defu Lian
, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. CoRR abs/2205.14859 (2022) - [i82]Chenwang Wu, Defu Lian
, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - [i81]Shiwei Wu, Weidong He, Tong Xu, Hao Wang, Enhong Chen:
Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach. CoRR abs/2206.09597 (2022) - [i80]Xu Huang, Defu Lian
, Jin Chen, Zheng Liu
, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. CoRR abs/2206.14649 (2022) - [i79]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen:
Model Inversion Attacks against Graph Neural Networks. CoRR abs/2209.07807 (2022) - [i78]Qingyang Wang, Defu Lian
, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. CoRR abs/2210.13762 (2022) - [i77]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model-Learning Compound Router for Sequential Recommendation. CoRR abs/2211.02824 (2022) - [i76]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CoRR abs/2211.04759 (2022) - [i75]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian
, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR abs/2211.08068 (2022) - 2021
- [j129]Lisheng Qiao, Fan Zhang, Xiaohui Huang, Kai Li, Enhong Chen
:
Heterogeneous-attributes enhancement deep framework for network embedding. Frontiers Comput. Sci. 15(6): 156616 (2021) - [j128]Lin Mu, Peiquan Jin
, Jie Zhao, Enhong Chen
:
Detecting evolutionary stages of events on social media: A graph-kernel-based approach. Future Gener. Comput. Syst. 123: 219-232 (2021) - [j127]Sirui Zhao, Hanqing Tao, Yangsong Zhang, Tong Xu, Kun Zhang, Zhongkai Hao, Enhong Chen
:
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition. Neurocomputing 448: 276-289 (2021) - [j126]Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen
, Xiaofeng Wang, Yuanyan Tang:
Multiple graph kernel learning based on GMDH-type neural network. Inf. Fusion 66: 100-110 (2021) - [j125]Liang Ge, Enhong Chen:
Research on grain storage temperature prediction model based on improved long short-term memory. J. Comput. Methods Sci. Eng. 21(5): 1145-1154 (2021) - [j124]Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen
, Yuanyan Tang:
Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognit. 120: 108125 (2021) - [j123]Feng Xiao
, Enhong Chen
, Qiang Xu, Xianguo Zhang:
ICSTrace: A Malicious IP Traceback Model for Attacking Data of the Industrial Control System. Secur. Commun. Networks 2021: 7525092:1-7525092:14 (2021) - [j122]Junliang Guo
, Zhirui Zhang
, Linli Xu, Boxing Chen
, Enhong Chen
:
Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1740-1751 (2021) - [j121]Huaian Chen
, Yi Jin
, Minghui Duan
, Changan Zhu
, Enhong Chen
:
DOF: A Demand-Oriented Framework for Image Denoising. IEEE Trans. Ind. Informatics 17(8): 5369-5379 (2021) - [j120]Minghui Duan
, Yi Jin
, Huaian Chen
, Jinjin Zheng
, Changan Zhu
, Enhong Chen
:
Automatic 3-D Measurement Method for Nonuniform Moving Objects. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j119]Yabing Zheng
, Yi Jin
, Minghui Duan
, Changan Zhu
, Enhong Chen
:
Joint Coding Strategy of the Phase Domain and Intensity Domain for Absolute Phase Retrieval. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j118]Joya Chen
, Dong Liu
, Tong Xu
, Shiwei Wu, Yifei Cheng
, Enhong Chen
:
Is Heuristic Sampling Necessary in Training Deep Object Detectors? IEEE Trans. Image Process. 30: 8454-8467 (2021) - [j117]Shuo Tao, Jingang Jiang
, Defu Lian
, Kai Zheng, Enhong Chen
:
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling. ACM Trans. Intell. Syst. Technol. 12(6): 78:1-78:23 (2021) - [j116]Qi Liu
, Zhenya Huang
, Yu Yin
, Enhong Chen
, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction. IEEE Trans. Knowl. Data Eng. 33(1): 100-115 (2021) - [j115]Defu Lian
, Xing Xie, Enhong Chen
:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 1919-1933 (2021) - [j114]Defu Lian
, Xing Xie, Enhong Chen
, Hui Xiong:
Product Quantized Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(9): 3284-3296 (2021) - [j113]Qi Zhang
, Hengshu Zhu
, Qi Liu, Enhong Chen
, Hui Xiong:
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results. ACM Trans. Inf. Syst. 39(3): 37:1-37:32 (2021) - [j112]Tong Xu, Peilun Zhou, Linkang Hu, Xiangnan He, Yao Hu, Enhong Chen
:
Socializing the Videos: A Multimodal Approach for Social Relation Recognition. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 23:1-23:23 (2021) - [j111]Binbin Jin
, Enhong Chen
, Hongke Zhao
, Zhenya Huang
, Qi Liu
, Hengshu Zhu
, Shui Yu
:
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3068-3079 (2021) - [j110]Kun Zhang
, Guangyi Lv
, Le Wu, Enhong Chen
, Qi Liu
, Han Wu, Xing Xie, Fangzhao Wu
:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [j109]Zongda Wu, Guiling Li, Shigen Shen
, Xinze Lian, Enhong Chen
, Guandong Xu:
Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web 24(1): 25-49 (2021) - [j108]Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen
:
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification. World Wide Web 24(5): 1791-1812 (2021) - [c314]Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang
, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen:
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. AAAI 2021: 4215-4223 - [c313]Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang:
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. AAAI 2021: 4232-4240 - [c312]Guifeng Wang, Longbing Cao
, Hongke Zhao, Qi Liu, Enhong Chen:
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. AAAI 2021: 4418-4426 - [c311]Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou:
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. AAAI 2021: 13898-13906 - [c310]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. AAAI 2021: 14411-14419 - [c309]Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang:
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing. CCIS 2021: 61-65 - [c308]Zhe Zhang, Tong Xu, Le Zhang, Yichao Du, Hui Xiong, Enhong Chen
:
Knowledge Powered Cooperative Semantic Fusion for Patent Classification. CICAI 2021: 111-122 - [c307]Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen
:
DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching. CICAI (2) 2021: 203-214 - [c306]Wei Cao, Kun Zhang, Hanqing Tao, Weidong He, Qi Liu, Enhong Chen
, Jianhui Ma:
Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition. CICAI 2021: 783-795 - [c305]Min Hou, Chang Xu
, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen
, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM 2021: 700-709 - [c304]Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CIKM 2021: 3627-3631 - [c303]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
:
Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA (1) 2021: 3-19 - [c302]Yijun Wang, Tianxin Wei
, Qi Liu, Enhong Chen
:
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) 2021: 168-185 - [c301]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren
, Yi Zheng, Enhong Chen
:
Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis. DASFAA (3) 2021: 461-477 - [c300]Dan Liu, Mengge Du, Xiaoxi Li, Ya Li, Enhong Chen:
Cross Attention Augmented Transducer Networks for Simultaneous Translation. EMNLP (1) 2021: 39-55 - [c299]Renqian Luo
, Xu Tan
, Rui Wang, Tao Qin
, Jinzhu Li, Sheng Zhao, Enhong Chen
, Tie-Yan Liu:
Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search. ICASSP 2021: 5699-5703 - [c298]Siqi Lei, Wei Huang
, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su:
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System. ICBK 2021: 426-433 - [c297]Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. ICCV 2021: 13940-13949 - [c296]Mingyue Cheng
, Fajie Yuan, Qi Liu, Xin Xin
, Enhong Chen:
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM 2021: 51-60 - [c295]Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang:
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. ICDM 2021: 210-219 - [c294]Ye Huang, Wei Huang
, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang:
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. ICDM 2021: 220-229 - [c293]Huijie Liu
, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen:
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. ICDM 2021: 389-398 - [c292]Linkang Hu, Weidong He, Le Zhang, Tong Xu, Hui Xiong, Enhong Chen:
Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues. ICME 2021: 1-6 - [c291]Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen:
Preference-Adaptive Meta-Learning for Cold-Start Recommendation. IJCAI 2021: 1607-1614 - [c290]Dazhong Shen, Chuan Qin
, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI 2021: 2964-2970 - [c289]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI 2021: 3749-3755 - [c288]Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen
, Hui Xiong:
A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. IJCNN 2021: 1-8 - [c287]Chao Ren
, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen
:
Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. IJCNN 2021: 1-8 - [c286]Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen
:
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. KDD 2021: 5-13 - [c285]Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen
, Jianhui Ma, Yu Su, Wei Tong:
DisenQNet: Disentangled Representation Learning for Educational Questions. KDD 2021: 696-704 - [c284]Qi Liu, Jin Zhang
, Defu Lian
, Yong Ge, Jianhui Ma, Enhong Chen
:
Online Additive Quantization. KDD 2021: 1098-1108 - [c283]Shuanghong Shen, Qi Liu, Enhong Chen
, Zhenya Huang, Wei Huang
, Yu Yin, Yu Su, Shijin Wang:
Learning Process-consistent Knowledge Tracing. KDD 2021: 1452-1460 - [c282]Chenwang Wu, Defu Lian
, Yong Ge, Zhihao Zhu, Enhong Chen
:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c281]Le Zhang, Ding Zhou, Hengshu Zhu
, Tong Xu, Rui Zha, Enhong Chen
, Hui Xiong:
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. KDD 2021: 2192-2201 - [c280]Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen
, Jianhui Ma:
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. KDD 2021: 2420-2428 - [c279]Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen
:
Urban Crowd Density Prediction Based on Multi-relational Graph. MDM 2021: 39-48 - [c278]Shiwei Wu, Joya Chen
, Tong Xu, Liyi Chen
, Lingfei Wu, Yao Hu, Enhong Chen
:
Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN. ACM Multimedia 2021: 4716-4724 - [c277]Yifan Xu, Sirui Zhao, Huaying Tang, Xinglong Mao, Tong Xu, Enhong Chen
:
FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation. ACM Multimedia 2021: 4813-4817 - [c276]Runlong Yu
, Yuyang Ye
, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. PAKDD (2) 2021: 436-447 - [c275]Gangwei Jiang, Hao Wang
, Jin Chen, Haoyu Wang, Defu Lian
, Enhong Chen
:
xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR 2021: 337-346 - [c274]Mingyue Cheng
, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian
, Senchao Yuan, Enhong Chen
:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [c273]Chenwang Wu, Defu Lian
, Yong Ge, Zhihao Zhu, Enhong Chen
, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - [c272]Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen
, Wei Tong, Zi Yan:
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. SIGIR 2021: 2156-2160 - [c271]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian
, Hao Wang, Enhong Chen
, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c270]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen
:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021: 984-992 - [c269]Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen
, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. WWW 2021: 957-968 - [c268]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
:
Drug Package Recommendation via Interaction-aware Graph Induction. WWW 2021: 1284-1295 - [i74]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. CoRR abs/2101.00238 (2021) - [i73]Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. CoRR abs/2101.05986 (2021) - [i72]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. CoRR abs/2101.06471 (2021) - [i71]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis. CoRR abs/2101.11374 (2021) - [i70]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. CoRR abs/2102.03577 (2021) - [i69]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. CoRR abs/2102.04040 (2021) - [i68]Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo:
Towards Variable-Length Textual Adversarial Attacks. CoRR abs/2104.08139 (2021) - [i67]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. CoRR abs/2104.10907 (2021) - [i66]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective. CoRR abs/2105.12918 (2021) - [i65]Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng:
A Survey of Knowledge Tracing. CoRR abs/2105.15106 (2021) - [i64]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR abs/2106.02820 (2021) - [i63]Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen:
DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching. CoRR abs/2106.04905 (2021) - [i62]Kun Zhang
, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. CoRR abs/2108.02915 (2021) - [i61]Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CoRR abs/2108.08022 (2021) - [i60]Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. CoRR abs/2108.12141 (2021) - [i59]Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. CoRR abs/2109.05773 (2021) - [i58]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR abs/2110.12381 (2021) - [i57]