期刊文章:

[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

…

会议文章：

[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