Xu Chen

According to our database, Xu Chen authored at least 77 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on large language model based autonomous agents.

Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen

Frontiers Comput. Sci., December, 2024

Large Language Model-based Human-Agent Collaboration for Complex Task Solving.

Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen

CoRR, 2024

2023

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen

ACM Trans. Inf. Syst., October, 2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.

Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., September, 2023

Recommendation with Causality enhanced Natural Language Explanations.

Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

Robust Recommendation with Adversarial Gaussian Data Augmentation.

Zhenlei Wang, Xu Chen

Proceedings of the ACM Web Conference 2023, 2023

Distributionally Robust Sequential Recommnedation.

Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Robust Causal Inference for Recommender System to Overcome Noisy Confounders.

Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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, Ji-Rong Wen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Sequential Recommendation with User Evolving Preference Decomposition.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels.

Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Towards Robust Fairness-aware Recommendation.

Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hierarchical Invariant Learning for Domain Generalization Recommendation.

Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Multi-Agent Framework for Recommendation with Heterogeneous Sources.

Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai

Proceedings of the International Joint Conference on Neural Networks, 2023

Causal Collaborative Filtering.

Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

2022

Debiased recommendation with neural stratification.

Quanyu Dai, Zhenhua Dong, Xu Chen

AI Open, January, 2022

IPGAN: Generating Informative Item Pairs by Adversarial Sampling.

Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He

IEEE Trans. Neural Networks Learn. Syst., 2022

Recommendation with User Active Disclosing Willingness.

Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong

CoRR, 2022

Sequential Recommendation with Causal Behavior Discovery.

Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

CoRR, 2022

Sequential Recommendation with User Evolving Preference Decomposition.

Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin

CoRR, 2022

Generalizable Information Theoretic Causal Representation.

Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang

CoRR, 2022

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation.

Xu Chen, Yongfeng Zhang, Ji-Rong Wen

CoRR, 2022

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen

CoRR, 2022

Inhomogeneous deep Q-network for time sensitive applications.

Xu Chen, Jun Wang

Artif. Intell., 2022

A Game-Theoretic Approach to Multi-agent Trust Region Optimization.

Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

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, Ji-Rong Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach.

Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Visually aware recommendation with aesthetic features.

Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin

VLDB J., 2021

Learning Reinforced Dynamic Representations for Sequential Recommendation.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin

CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.

Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang

CoRR, 2021

Generate Natural Language Explanations for Recommendation.

Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang

CoRR, 2021

Reinforcement Recommendation with User Multi-aspect Preference.

Xu Chen, Yali Du, Long Xia, Jun Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps.

Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen

Proceedings of the WWW '21: The Web Conference 2021, 2021

The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021).

Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong

Proceedings of the WSDM '21, 2021

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation.

Yongfeng Zhang, Xu Chen, Yi Zhang, Xianjie Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Counterfactual Data-Augmented Sequential Recommendation.

Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Estimating α-Rank from A Few Entries with Low Rank Matrix Completion.

Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.

Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Causally Attentive Collaborative Filtering.

Jingsen Zhang, Xu Chen, Wayne Xin Zhao

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Top-N Recommendation with Counterfactual User Preference Simulation.

Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Counterfactual Review-based Recommendation.

Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Counterfactual Explainable Recommendation.

Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning.

Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network.

Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang

ACM Trans. Inf. Syst., 2020

Efficient Contour Computation of Group-Based Skyline.

Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin

IEEE Trans. Knowl. Data Eng., 2020

Explainable Recommendation: A Survey and New Perspectives.

Yongfeng Zhang, Xu Chen

Found. Trends Inf. Retr., 2020

Causal World Models by Unsupervised Deconfounding of Physical Dynamics.

Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang

CoRR, 2020

EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search.

Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Time Matters: Sequential Recommendation with Complex Temporal Information.

Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation.

Xu Chen, Changying Du, Xiuqiang He, Jun Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.

Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.

Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Adversarial Distillation for Efficient Recommendation with External Knowledge.

Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha

ACM Trans. Inf. Syst., 2019

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.

Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Dynamic News Recommendation with Hierarchical Attention Network.

Hui Zhang, Xu Chen, Shuai Ma

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Dynamic Explainable Recommendation Based on Neural Attentive Models.

Xu Chen, Yongfeng Zhang, Zheng Qin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning over Knowledge-Base Embeddings for Recommendation.

Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang

CoRR, 2018

Visually Explainable Recommendation.

Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha

CoRR, 2018

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.

Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang

Algorithms, 2018

Aesthetic-based Clothing Recommendation.

Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.

Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Sequential Recommendation with User Memory Networks.

Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model.

Xu Li, Xu Chen, Zheng Qin

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision.

Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Towards Conversational Search and Recommendation: System Ask, User Respond.

Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Benefits from Superposed Hawkes Processes.

Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Personalized Key Frame Recommendation.

Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Learning a Hierarchical Embedding Model for Personalized Product Search.

Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.

Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Fast Algorithms for Pareto Optimal Group-based Skyline.

Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen, Huidi Zhang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images.

Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin

Proceedings of the Information Retrieval Technology, 2017

Probabilistic Local Matrix Factorization Based on User Reviews.

Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin

Proceedings of the Information Retrieval Technology, 2017

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding.

Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

HLBPR: A Hybrid Local Bayesian Personal Ranking Method.

Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang

Proceedings of the 25th International Conference on World Wide Web, 2016

Learning to Rank Features for Recommendation over Multiple Categories.

Xu Chen, Zheng Qin, Yongfeng Zhang, Tao Xu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Developer Recommendation with Awareness of Accuracy and Cost.

Jin Liu, Yiqiuzi Tian, Liang Hong, Xu Chen, Zhou Xu

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016