教育经历

  • 2014-2019 清华大学软件学院,博士
  • 2017-2017 美国佐治亚理工学院,访问学者
  • 2011-2014 北京科技大学计算机学院,硕士
  • 2005-2009 北京交通大学通信工程系,学士

工作经历

  • 2020-至今中国人民大学高瓴人工智能学院 准聘助理教授
  • 2019-2020 英国伦敦大学学院,博士后研究员

研究方向

推荐系统 (主要): 可解释推荐系统,序列化推荐算法,基于外部信息的推荐算法。
强化学习: 多目标强化学习,基于连续时间的强化学习算法,强化学习理论。
因果推断: 因果发现,基于潜在结果框架的表示学习

教授课程

  • 研究生课程:智能推荐算法

学术成果

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, Xinji Luo, Ji-Rong Wen
The Web Conference (TheWebConf 2021).

Counterfactual Data-Augmented Sequential Recommendation
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
The 44nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021).

Reinforcement Recommendation with User Multi-aspect Preference
Xu Chen, Yali Du, Long Xia, Jun Wang
The Web Conference (TheWebConf 2021).

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 2021)

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.
The International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)

Estimating alpha-Rank from A Few Entries with Low Rank Matrix Completion
Yali Du, Xue Yan, Xu Chen, Haifeng Zhang, Jun Wang
The 38th International Conference on Machine Learning (ICML 2021)

2020
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network
Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin and Jimmy Huang
Transaction on Information System (TOIS 2020)

Time Matters: Sequential Recommendation with Complex Temporal Information
Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin and Dawei Yin.
The 43nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020).

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation
Xu Chen, Changying Du, Xiuqiang He and Jun Wang.
The 43nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020, short paper).

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 31th ACM International Conference on Information and Knowledge Management (CIKM 2020).

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 31th ACM International Conference on Information and Knowledge Management (CIKM 2020).

Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang and Xu Chen.
Foundations and Trends in Information Retrieval: Vol. 14, No. 1, pp 1-101. Now Publishers.

2019
Dynamic Explainable Recommendation based on Neural Attentive Models
Xu Chen, Yongfeng Zhang, Zheng Qin.
The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).

Dynamic News Recommendation with Hierarchical Attention Network
Hui Zhang, Xu Chen and Shuai Ma.
The 19th IEEE International Conference on Data Mining (ICDM 2019, short paper).

Adversarial Distillation for Efficient Recommendation with External Knowledge
Xu Chen, Yongfeng Zhang, Honteng Xu, Zheng Qin and Hongyuan Zha.
Transaction on Information System (TOIS 2019).

Efficient contour computation of group-based skyline
Wenhui Yu, Jinfei Liu, Jiann Pei, Li Xiong, Xu Chen and Zheng Qin.
IEEE Transactions on Knowledge and Data Engineering (TKDE 2019).

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin and Hongyuan Zha.
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019).

Generating Natural Language Explanations for Recommendation
Hanxiong Chen, Xu Chen, Shaoyun Shi and Yongfeng Zhang.
Workshop on the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIRW 2019).

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 and Tiansi Dong.
The international Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).

Benefits from Superposed Hawkes Processes
Hongteng Xu, Dixin Luo, Xu Chen and Lawrence Carin.
The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018).

Sequential Recommendation with User Memory Network
Xu Chen, Yongfeng Zhang, Honteng Xu, Zheng Qin and Hongyuan Zha.
The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018).

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
Qingyao Ai, Vahid Azizi, Xu Chen and Yongfeng Zhang.
Algorithms Journal (Algorithms 2018).

Aesthetic-based Clothing Recommendation
Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong and Zheng Qin.
The International World Wide Web Conferences (TheWebConf 2018).

Towards Conversational Search and Recommendation: System Ask, User Respond
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang and W. Bruce Croft.
The 29th ACM International Conference on Information and Knowledge Management (CIKM 2018).

2017
A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images
Wenwen Ye, Yongfeng Zhang, Xin Zhao, Xu Chen and Zheng Qin.
The 13th Asia Information Retrieval Societies Conference (AIRS 2017).

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding
Yixin Cao, Lifu Huang, Heng Ji, Xu Chen and Juanzi Li.
The 55th annual meeting of the Association for Computational Linguistics (ACL 2017).

Fast Algorithm of Pareto Optimal Group-based Skyline
Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen and Huidi Zhang.
The 28th ACM International Conference on Information and Knowledge Management (CIKM 2017).

An Explainable Probabilistic Local Matrix Factorization by Leveraging User Reviews
Xu Chen, Yongfeng Zhang, Xin Zhao, Wenwen Ye and Zheng Qin.
The 13th Asia Information Retrieval Societies Conference (AIRS 2017).

Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources
Yongfeng Zhang, Qingyao Ai, Xu Chen and W. Bruce Croft.
The 28th ACM International Conference on Information and Knowledge Management (CIKM 2017).

Personalized Key Frame Recommendation
Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan and Zheng Qin.
The 40nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017).

Learning a Hierarchical Embedding Model for Personalized Product Search
Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen and Bruce Croft.
The 40nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017).

2016
HLBPR: A Hybrid Local Bayesian Personal Ranking Method
Xu Chen, Pengfei Wang, Zheng Qin, and Yongfeng Zhang.
The 25th World Wide Web Conference (WWW 2016, poster).

Learning to Rank Features for Recommendation over Multiple Categories
Xu Chen, Yongfeng Zhang, Tao Xu, and Zheng Qin.
The 39nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016).

荣誉奖励

  • The Web Conference 2018 Best Paper Award Honorable Mention: France, 2018
  • AIRS 2017 Best Paper Award: Korea, 2017
  • 2017, 2019 SIGIR Student Travel Grant
  • Tsinghua University First-class Scholarship: Tsinghua University, 2015-2017
  • Second Prize National High School Math League: Liaoning, China, 2005

社会兼职

  • SPC: IJCAI 2021
  • PC: NeurIPS 2021, ICML 2021, AAAI 2021, WWW 2021
  • Co-Chair: Workshop on Causality in Search and Recommendation (co-located with SIGIR 2021), Workshop on Machine Reasoning in Web Search and Data Mining (co-located with WSDM 2021), Workshop on ExplainAble Recommendation and Search (EARS 2020, co-located with SIGIR 2020), Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (co-located with WSDM 2018)
  • Reviewer: ACM Transactions on Information Systems (TOIS), IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Intelligent Systems and Technology (TIST), Journal of Machine Learning Research (JMLR).

contact

电话:--

邮箱:xu.chen@ruc.edu.cn

个人网页:http://xu-chen.com/

办公地址:信息楼 0443B