Recent Publications
In the year of 2024
Reflective Multi-Agent Collaboration based on Large Language Models
Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen
Conference on Neural Information Processing Systems (NeurIPS)
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Recommendation
Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou
International Conference on Machine Learning (ICML spotlight)
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
International Conference on Machine Learning (ICML)
Debiased Collaborative Filtering with Kernel-based Causal Balancing
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
International Conference on Learning Representations (ICLR spotlight)
Natural Language Explainable Recommendation with Robustness Enhancement
Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Towards Robust Recommendation via Decision Boundary- aware Graph Contrastive Learning
Jiakai Tang，Sunhao Dai，Zexu Sun，Xu Chen，Wenhui Yu，Lantao Hu，Peng Jiang，Han Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning
Heyang Gao, Zexu Sun, Hao Yang, Xu Chen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Causally Debiased Time-aware Recommendation
Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
International World Wide Web Conference (TheWebConf)
Understanding Human Preferences: Towards More Personalized Video to Text Generation
Yihan Wu, Ruihua Song, Xu Chen, Hao Jiang, Zhao Cao, Jin Yu
International World Wide Web Conference (TheWebConf)
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI)
Soft Contrastive Sequential Recommendation
Yabin Zhang, ZhenLei Wang, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai, Xu Chen
ACM Transactions on Information Systems (TOIS)
Distributional Fairness-aware Recommendation
Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
ACM Transactions on Information Systems (TOIS)
Towards Tool Use Alignment of Large Language Models
Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Large Language Model-based Human-Agent Collaboration for Complex Task Solving
Xueyang Feng, Zhi-Yuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen
Conference on Empirical Methods in Natural Language Processing (EMNLP-findings)
In the year of 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
Conference on Neural Information Processing Systems (NeurIPS)
Offline Imitation Learning with Variational Counterfactual Reasoning
Zexu Sun, Bowei He, Jinxin Liu, Shuai Zhang, Xu Chen, Chen Ma
Conference on Neural Information Processing Systems (NeurIPS)
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
Conference on Neural Information Processing Systems (NeurIPS Dataset and Benchmarks Track)
Hierarchical Invariant Learning for Domain Generalization Recommendation
Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Robust Recommendation with Adversarial Gaussian Data Augmentation
Zhenlei Wang, Xu Chen
International World Wide Web Conference (TheWebConf)
Recommendation with Causality enhanced Natural Language Explanations
Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang.
International World Wide Web Conference (TheWebConf)
Distributionally Robust Sequential Recommendation
Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Sequential Recommendation with User Causal Behavior Discovery
Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen
International Conference on Data Engineering (ICDE)
Debiased Recommendation with User Feature Balancing
Mengyue Y, Guohao C, Furui L, Jiarui J, Zhenhua D, Xiuqiang H, Jianye H, Weiqi S, Jun W, Xu Chen
ACM Transactions on Information Systems (TOIS)
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, weiwei deng, Qi Zhang, Xing Xie
Annual Meeting of the Association for Computational Linguistics (ACL)
Joint Semantic and Strategy Matching for Persuasive Dialogue
Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, Huan chen, Yuchong Sun, Yu Chen, Jun Xu
Conference on Empirical Methods in Natural Language Processing (EMNLP-findings)
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation
Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen
ACM Conference on Recommender Systems (RecSys)
Towards Robust Fairness-aware Recommendation
Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen
ACM Conference on Recommender Systems (RecSys)
Sequential Recommendation with User Evolving Preference Decomposition
Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin
International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP)
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels
Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu
International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP)
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems
Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen and Ji-Rong Wen
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR resource)
Robust Causal Inference for Recommender System to Overcome Noisy Confounders
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR short)
Causal Collaborative Filtering
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
International Conference on the Theory of Information Retrieval (ICTIR)
In the year of 2022
Inhomogeneous Deep Q-Network for Time Sensitive Applications
Xu Chen, Jun Wang
Artificial Intelligence Journal (AIJ)
Unbiased Sequential Recommendation with Latent Confounders
Zhenglei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen
International World Wide Web Conference (TheWebConf)
Sequential Recommendation with Decomposed Item Feature Routing
Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen
International World Wide Web Conference (TheWebConf)
Generative Session-based Recommendation
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu
International World Wide Web Conference (TheWebConf)
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
Association for the Advancement of Artificial Intelligence (AAAI)
Data Augmented Sequential Recommendation based on Counterfactual Thinking
Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao and Ji-Rong Wen
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Multi-Modal Experience Inspired AI Creation
Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao
ACM Multimedia (MM)
Dually Enhanced Propensity Score Estimation in Sequential Recommendation
Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong and Ji-Rong Wen
The Conference on Information and Knowledge Management (CIKM)
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen and Ji-Rong Wen
Conference on Information and Knowledge Management (CIKM, resource)
Debiased Recommendation with Neural Stratification
Quanyu Dai, Zhenhua Dong, Xu Chen
AI Open
In the year of 2021
Estimating alpha-Rank from A Few Entries with Low Rank Matrix Completion
Yali Du, Xue Yan, Xu Chen, Haifeng Zhang, Jun Wang
International Conference on Machine Learning (ICML)
Reinforcement Recommendation with User Multi-aspect Preference
Xu Chen, Yali Du, Long Xia, Jun Wang
International World Wide Web Conference (TheWebConf)
A Novel Macro-Micro Network for User Representation Learning on Mobile Apps
Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xinji Luo, Ji-Rong Wen
International World Wide Web Conference (TheWebConf)
Counterfactual data-augmented sequential recommendation
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Visually Aware Recommendation with Aesthetic Features
Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
The International Journal on Very Large Data Bases (VLDBJ)
Top-N Recommendation with Counterfactual User Preference Simulation
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
The Conference on Information and Knowledge Management (CIKM)
Counterfactual Review-based Recommendation
Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
The Conference on Information and Knowledge Management (CIKM)
Causally attentive collaborative filtering
Jingsen Zhang, Xu Chen, Wayne Xin Zhao.
The Conference on Information and Knowledge Management (CIKM, short)
CountER: Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
The Conference on Information and Knowledge Management (CIKM)
Learning Correlated Communication Topology in Multi-Agent Reinforcement learning
Yali Du, Zhicheng Ren, Bo Liu, Ziqi Liu, Vincent Moens, Jun Wang, Xu Chen and Haifeng Zhang
International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
In the year of 2020
Time Matters: Sequential Recommendation with Complex Temporal Information
Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin and Dawei Yin
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation
Xu Chen, Changying Du, Xiuqiang He and Jun Wang
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short)
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network
Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin and Jimmy Huang
ACM Transactions on Information Systems (TOIS)
CAFE: Coarse-to-Fine Knowledge Graph Reasoning for E-Commerce Recommendation
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan and Yongfeng Zhang
The Conference on Information and Knowledge Management (CIKM)
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
Shuqing Bian, Xu Chen, Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang and Ji-Rong Wen
The Conference on Information and Knowledge Management (CIKM)