简 历:
孙飞博士,为中国科学院计算技术研究所副研究员,入选中国科学院特聘研究骨干,现任CCIR专会委员以及CIPS青工委委员,长期从事自然语言处理、推荐系统以及算法安全等方向研究,研究成果广泛应用于淘宝、快手、字节等大型推荐系统中。主持或参与包括国家重点研发、中科院先导B等在内的多项算法安全方向重大科研任务。近年来,在TOIS、ACL、EMNLP、NeurIPS等国际顶级期刊会议上发表论文60余篇,Google Scholar引用8000余次。连续入选Stanford 全球前2%科学家,论文多次入选谷歌学术刊物指标榜单,其中第一作者论文单篇引用超2200次,为CIKM近十年引用最高论文,论文另获国际顶会RecSys 2019最佳长文提名奖。长期担任TOIS、TACL、NeurIPS、ICML、ACL、IJCAI等顶级学术期刊会议(高级)评委。
指导学生论文引用超2500次,多篇入选谷歌学术刊物指标榜单。支持学生参与学术服务和学术分享,学生多人次担任国际学术会议、期刊的PC/reviewer,在国际顶会WWW组织研讨会。多人受邀在全国性学术会议、学术社区、企业等进行报告分享。
2022年8月 — 今:中科院计算所,副研究员
2017年7月 — 2022年8月:阿里巴巴-达摩院 算法专家
2012年7月 — 2017年7月:中国科学院大学,计算机学院,博士生
2009年12月 — 2012年1月:北京理工大学,计算机学院,硕士生
2005年9月 — 2009年7月:北京理工大学,软件学院,本科生
主要论著:
期刊文章:
[1] 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 2023, CCF A
[2] 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)
[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
…
会议文章:
[1] Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen. The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. EMNLP Findings 2024. CCF B
[2] Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng. Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. NeurIPS 2024. CCF A
[3] Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL 2024. CCF A
[4] Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng. The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL Findings, CCF A
[5] Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen. Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. WWW short. CCF A
[6] Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng. Lorec: Combating poisons with large language model for robust sequential recommendation. SIGIR 2024. CCF A
[7] Chong Chen, Fei Sun, Min Zhang, Bolin Ding. Recommendation Unlearning. WWW 2022, CCF A
[8] Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Shiwen Wu, Bolin Ding, Bin Cui. Contrastive Learning for Sequential Recommendation. ICDE 2022, CCF A
[9] 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
[10] Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding. Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP 2021, CCF B
[11] Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam. Unified conversational recommendation policy learning via graph-based reinforcement learning. SIGIR 2021, CCF A
[12] Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei and Yongfeng Zhang. Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021, CCF A
[13] 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
[14] 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
[15] 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
[16] 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
[17] 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
[18] Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang. Learning Personalized Risk Preferences for Recommendation. SIGIR 2019, CCF A
[19] 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
[20] 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
[21] 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
[22] 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
[23] Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang. Compositional network embedding for link prediction. RecSys 2019
[24] 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
[25] 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
[26] Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang. Multi-Source Pointer Network for Product Title Summarization. CIKM 2018, CCF B
科研项目:
[1] 重点研发计划子课题: 基于模仿学习的智能算法沙箱测试平台,220万,负责人;
[2] 中科院先导B项目子课题: 基于意图模拟与预测的推荐算法滥用监测,2023/12-2028/11,150万,负责人;
[2] 中科院计算所创新课题: 机器遗忘学习,2023/7-2025/6 , 100万,负责人
[4] 美团科研合作项目:大模型知识边界研究,2024/8-2025/9,50万,负责人
获奖及荣誉:
Stanford 全球前2%科学家
2019 RecSys 最佳论文提名奖
孙飞 副研究员
研究方向:
所属部门:智能算法安全重点实验室
导师类别:
联系方式:sunfei@ict.ac.cn
个人网页:http://ofey.me/