Dr. Fei Sun is an associate professor at the Institute of Computing Technology, Chinese Academy of Sciences. With a focus on recommendation systems and natural language processing, Sun has made significant contributions to the field through the publication of over 50 research papers in top journals and conferences such as CSUR, TOIS, WWW, KDD, and SIGIR. He received recognition for his work with the runner-up award for the best long paper at RecSys 2019 and has received over 3000 citations on Google Scholar. Sun is also an active member of the academic community, serving as a member of the Committee for Chinese Information Retrieval and as a reviewer and program committee member for top academic journals and conferences such as TOIS, NIPS, ICML, ACL, SIGIR, WWW, and AAAI.

1. Aug 2022 - Present: Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences 
2. July 2017 - Aug 2022: Algorithm Expert, Alibaba-DAMO Academy 
3. July 2012 - July 2017: Ph.D. Candidate, Institute of Computing Technology, Chinese Academy of Sciences 
4. Dec 2009 - Jan 2012: Master's Degree Candidate, School of Computer Science, Beijing Institute of Technology

Selected Publications

Journal:

1. Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui. Graph Neural Networks in Recommender Systems: A Survey. CSUR 2022 (IF: 14.32 (2021), ACM顶级期刊ranked 3/109)

2. Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding. Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. TOIS 2022, CCF A

3. Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun,, Ruqing Zhang, Xueqi Cheng.  Semantic Models for the First-Stage Retrieval: A Comprehensive Review. TOIS 2022, CCF A

4. Yuan Zhang, Fei Sun, Xiaoyong Yang, Chen Xu, Wenwu Ou, and Yan Zhang.  Graph-based Regularization on Embedding Layers for Recommendation. TOIS 2020, CCF A

5. Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten De Rijke. Multi-interest Diversification for End-to-end Sequential Recommendation. TOIS 2021, CCF A

Conference：

1. Chong Chen, Fei Sun, Min Zhang, Bolin Ding. Recommendation Unlearning. WWW 2022, CCF A

2. Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Shiwen Wu, Bolin Ding, Bin Cui. Contrastive Learning for Sequential Recommendation. ICDE 2022, CCF A

3. Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren. Debiasing Learning for Membership Inference Attacks Against Recommender Systems. KDD 2022, CCF A

4. Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding. Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP 2021, CCF B

5. Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam. Unified conversational recommendation policy learning via graph-based reinforcement learning. SIGIR 2021, CCF A

6. Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei and Yongfeng Zhang.  Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021, CCF A

7. Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui.Explore User Neighborhood for Real-time E-commerce Recommendation. ICDE 2021, CCF A

8. Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou. Privileged Features Distillation at Taobao Recommendations. KDD 2020, CCF A

9. Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang. BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM 2019, CCF B

10. Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke. Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CIKM 2020, CCF B

11. Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng.SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CIKM 2019, CCF B

12. Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang.Learning Personalized Risk Preferences for Recommendation. SIGIR 2019, CCF A

13. Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang. Understanding Echo Chambers in E-commerce Recommender Systems. SIGIR 2019, CCF A

14. Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q Zhu. Exact-k recommendation via maximal clique optimization. KDD 2019, CCF A

15. Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao. POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. KDD 2019, CCF A

16. Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou. Improving Multi-turn Dialogue Modelling with Utterance ReWriter. ACL 2019, CCF A

17. Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang. Compositional network embedding for link prediction. RecSys 2019

18. Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang. A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. RecSys 2019

19. Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei. Personalized re-ranking for recommendation. RecSys 2019

20. Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang. Multi-Source Pointer Network for Product Title Summarization. CIKM 2018, CCF B

Award

2019 RecSys long paper runner up