人工智能网络安全创新中心

潘理

  • 教育背景

  • 工作经历

  • 研究方向

  • 荣誉奖励/承担项目

  • 代表性论文和著作

  • 1999-2002   上海交通大学  博士

  • 1996-1999   南京邮电大学  硕士

  • 1992-1996   西安电子科技大学  学士

  • 2021.7-至今   上海交通大学电子信息与电气工程学院  长聘教授

  • 2014.1-2021.6  上海交通大学电子信息与电气工程学院  研究员

  • 2006.7-2013.12  上海交通大学电子信息与电气工程学院 副教授

  • 2002.8-2006.6  上海交通大学电子信息与电气工程学院 讲师

  • 网络安全管理,信息内容安全、大数据与人工智能安全等

  • 2013 上海市优秀技术带头人

  • 潘理,李建华,刘业政,齐佳音,姜元春. 社交网络群体行为分析,科学出版社,2018年.

  • Jiaxing Zheng, Li Pan*. Dominant coverage for target users at the lowest cost under competitive propagation in social networks. Computer Networks, 226 (2023), 10969.

  • Wu P, Zheng C, Pan L. A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(1): 45-58

  • Zheng C, Pan L*, Wu P. CAMU: Cycle-Consistent Adversarial Mapping Model for User Alignment across Social Networks. IEEE Transactions on Cybernetics, 52(10),2022: 10709-10720

  • Conghui Zheng; Li Pan*; Peng Wu; JORA: Weakly Supervised User Identity Linkage via Jointly Learning to Represent and Align, IEEE Transactions on Neural Networks and Learning Systems. 2022 doi: 10.1109/TNNLS.2022.3201102.

  • Shaokang Wang; Li Pan*; Yu Wu; Meta-information Fusion of Hierarchical Semantics Dependency and Graph Structure for Structured Text Classification, ACM Trans. Knowl. Discov. Data, 2022 https://doi.org/10.1145/35379

  • C. Zheng, L. Pan* and P. Wu, Attribute Augmented Network Embedding Based on Generative Adversarial Nets, IEEE Transactions on Neural Networks and Learning Systems, 2021.

  • Wu Peng; Pan Li* ; Zheng Conghui, Mining Set of Interested Communities with Limited Exemplar Nodes for Network Based Services, IEEE Transactions on Services Computing,2021,14(4): 1138-1151.

  • Yu Wu, Li Pan*, SG-PAC: A stochastic game approach to generate personal privacy paradox access-control policies in social networks, Computers & Security, Volume 102, 2021, 102157.

  • Xiong Hao; Yan Junchi; Pan Li*, Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021.