李逸聪，入选国家海外引才专项，CAAI社会计算新星，校党委组织部部长助理。研究方向包括可信图数据挖掘、智能体技术、推荐系统等，也很想做无人机或与三航结合的方向（与学校特色结合）。主要承担或参与国家自然科学基金、江苏省自然科学基金、中央高校基本科研业务费、南京大学计算机软件新技术国家重点实验室开放课题、军委科技委项目、国家重点研发计划子课题。博士毕业于悉尼科技大学，师从徐贯东教授（国家高层次领军人才），合作导师包括陈红旭、孙相国、Angela Huo。博士期间获香港理工大学研究生交换奖学金资助，于2022年前往该校访学一年，与欧洲科学院院士曹建农教授展开紧密合作。硕士毕业于国防科技大学，师从李东升教授（国家杰青）。迄今已发表二十余篇高水平论文。目前担任TKDE、TNNLS、TKDD、IPM、TCSS等期刊审稿人，以及KDD、SIGIR、ICLR、WWW等会议程序委员。担任江苏省大数据专委会委员、CCF YOCSEF南京AC委员。

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欢迎有志于从事数据挖掘领域的【计算机科学与技术】学硕以及【电子信息】专硕学生推免、报考，也欢迎优秀的本科生加入，本人将提供细致的指导。请通过邮件联系并附上个人简历：liyicong123[at]outlook.com

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科研项目

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[1] "面向动态场景的推荐公平性研究：量化、溯源和纠正"，国家自然科学基金青年科学基金青年项目（No.62502204），2026.01.01-2028.12.31，主持

[2] "基于多行为数据融合的动态推荐公平性研究"，江苏省基础研究计划青年基金项目（No.BK20251381），2025.07.01-2028.06.30，主持

[3] "融合xxx的动态推荐公平性方法研究"，南京大学计算机软件新技术全国重点实验室（No.KFKT2025B14），2025.06.01-2027.05.31，主持

部分已发表论文

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• 期刊论文

[1] Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li: Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. IEEE Trans. Knowl. Data Eng. 37(5): 2727-2742 (2025)

[2] Shuaiqi Liu, Jiannong Cao, Yicong Li, Ruosong Yang, Zhiyuan Wen: Low-resource court judgment summarization for common law systems. Inf. Process. Manag. 61(5): 103796 (2024) [中科院1区top]

[3] Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu: Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(9): 4458-4471 (2024) [CCF A类期刊]

[4] Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu: Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. 大数据挖掘与分析 (英文) (2024) [中科院计算机科学1区]

[5] Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu: Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11801-11814 (2023) [CCF A类期刊]

• 会议论文

[1] 谢乐妍，李逸聪*，臧天梓，胥帅，刘苧：FAIR-DECAF：基于表征解耦与反事实监督的 LLM推荐去偏方法. CCIR 2026. [被推荐至CCF B类中文期刊，一作为研0学生，非常优秀]

[2] 李炎，李逸聪*：基于超图建模的多模态序列推荐模型. 2026年江苏省大数据学术会议. [被推荐至中国电子学会T2期刊，一作为研0学生，非常优秀]

[3] Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu: Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. KDD 2024: 1701-1712. [CCF A类会议]

[4] Liangxun Yang, Tianzi Zang, Jiayi Sun, Juan Li, Yicong Li: DRSoRec: Dual-Rectification of Social Networks for Recommendation. AAAI 2026. [CCF A类会议]

[5] Yuxuan Gu, Yicong Li*, Weiwei Yuan, Tianzi Zang, Donghai Guan, Jason Jung, Jie Zhao, Yongbo Ma: FairTCD: Dual-Teacher Temporal Contrastive Distillation for Twofold Fair Dynamic Graph Embedding. IJCAI 2026. [CCF A类会议]

[6] Cheng Chen, Weiwei Yuan, Xiaozhen Lu, Yicong Li, Jiale Zhang: SCOPE: Safety-Constrained Online Preview Enforcement for Efficient Encirclement in Multi-UAV Pursuit-Evasion. IJCAI 2026. [CCF A类会议]

[7] Zao Qiu, Shuai Xu, Xuelin Zhu, Yicong Li: Shot-Conditioned Vision-Language Adaptation for Effective Harmful Content Detection from Online Short Videos. IJCAI 2026. [CCF A类会议]

[8] Juhao Ma, Shuai Xu, Yicong Li, Xiaoming Fu: Multimodal Sentiment Analysis with Multi-Perspective Thinking via Large Multimodal Models. CIKM 2025. [CCF B类会议]

[9] Yijun Chen, Bohan Li, Yicong Li, Lixiang Song, Haofen Wang, Wenlong Wu, Junnan Zhuo, Hongzhi Yin: NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance. CIKM 2025. [CCF B类会议]

[10] Yue Wang, Shuai Xu, Xuelin Zhu, Yicong Li: MSCI: Addressing CLIP’s Inherent Limitations for Compositional Zero-Shot Learning. IJCAI 2025. [CCF A类会议]

[11] Yijun Chen, Bohan Li, Yicong Li, Lixiang Song, Haofen Wang, Wenlong Wu, Junnan Zhuo, Hongzhi Yin: NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance. CIKM 2025: 373-382 [CCF B类会议]

[12] Sixu An, Yicong Li, Yunsi Ma, Gary Cheng, Guandong Xu: Developing an LLM-Empowered Agent to Enhance Student Collaborative Learning Through Group Discussion. ICCE 2024 [CCF B类会议]

[13] Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu: Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 [CCF B类会议]

[14] Hongxu Chen, Yicong Li, Haoran Yang: Graph Data Mining in Recommender Systems. WISE (2) 2021: 491-496 [CCF C类会议]

[15] Hongxu Chen, Yicong Li*, Xiangguo Sun, Guandong Xu, Hongzhi Yin: Temporal Meta-path Guided Explainable Recommendation. WSDM 2021: 1056-1064 [CCF B类会议]

[16] Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu: An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. NeurIPS 2023 [CCF A类会议]

[17] Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin: DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. CIKM 2022: 1289-1298 [CCF B类会议]

[18] Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu: Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. WWW 2022: 1322-1330 [CCF A类会议]

[19] Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li: A Distributed Topic Model for Large-Scale Streaming Text. KSEM (2) 2019: 37-48 [CCF C类会议]

• 国防科技大学

• 悉尼科技大学       计算机科学与技术       博士研究生毕业       博士学位      优秀毕业生

• 2025.10 -- 至今

  江苏省大数据专委会委员

• 2025.1 -- 至今

  CCF YOCSEF南京委员