FACULTY & RESEARCH

Xu Chen
Tenure-track Assistant Professor
Xu Chen obtained his PhD degree from Tsinghua University, China. Before joining Renmin University of China, he was a postdoc researcher at University College London, UK. In the period from March to September of 2017, he was studying at Georgia Institute of Technology, USA, as a visiting scholar. His research mainly focuses on the recommender system, reinforcement learning and causal inference. He has published about 20 papers on top-tier conferences and journals such as SIGIR、TOIS、WWW、WSDM、CIKM、AAAI. According to Google Scholar, his papers has been cited more than 1100 times. His papers have won the best paper honorable mention award on the Web Conference 2018 and the best paper award on AIRS 2017. He has served as the PC member for many prestigious conferences, such as SIGIR、WWW、IJCAI、AAAI、CIKM.

Personal Homepage:

Detailed Information

Working experience:

2020-now Gaoling School of Artificial Intelligence, Renmin University of China. Assistant professor

2019-2020 Department of Computer Science, University College London. Postdoc

Education experience:

2014-2019 School of Software, Tsinghua University. PhD

2017-2017 Computer Science, Georgia Institute of Technology. Visiting Scholar

2011-2014 Computer Science, University of Science and Technology. Beijing, Master

2005-2009 Communication Engineering, Beijing Jiaotong University. Bachelor

Research direction:

Recommender system (Major): Explainable recommendation, Sequential recommendation, Recommendation based on External Knowledge

Reinforcement learning: Multi-objective RL, Continuous-time RL, RL theory

Causal Inference: Causal Discovery, Representation Learning based potential outcome framework

Publication:

1、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.

2、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).

3、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).

4、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).

5、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).

6、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).

7、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).

8、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).

9、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).

10、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).

11、Dynamic Explainable Recommendation based on Neural Attentive Models

Xu Chen, Yongfeng Zhang, Zheng Qin. The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).

12、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).

13、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).

14、Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

Qingyao Ai, Vahid Azizi, Xu Chen and Yongfeng Zhang. Algorithms Journal (Algorithms 2018).

15、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).

16、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).

17、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).

18、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).

19、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).

20、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).

21、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).

22、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).

23、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).

24、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).

25、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).

26、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).

Service:

Journal reviewer:JMLR, TOIS, TKDE, TIST

Conference PC member:SIGIR, The Web Conference, AAAI, IJCAI, CIKM


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