个人简介

  • 李卫民，男，工学博士，现为上海大学计算机学院教授，博士生导师，日本早稻田大学客座研究员。2021年10月在普陀区政府挂职区府办副主任一年。2013 年获日本学术振兴会（JSPS）资助赴日本早稻田大学访问两个月，2015 年 12 月至2016 年 12 月赴美国加州大学圣芭芭拉分校访问。IEEE 会员，中国计算机协会（CCF）高级会员，CCF 信息系统专委和协同计算专委委员，2005 年至今在国际杂志、IEEE 国际会议及全国核心期刊上发表学术论文多篇。主要从事网络建模与分析（社会、金融、生物等）、多模态数据挖掘、知识图谱等方向的科研工作。目前承担的本科课程“数据库原理”、“组合数学”、“Oracle 数据库”和“移动互联网初探”（通识课程）。

研究领域

  • 网络建模与分析（社会、金融、生物等）
  • 多模态数据挖掘
  • 知识图谱

所获奖项

  • 上海市级教学成果奖：面向一流计算机学科的创新人才培养实践。一等奖，排名第二
  • 自 2010 年以来，每年培养并带学生参加国家级和国际性的 ACM 程序竞赛并多次获金奖和银奖

近三年主持或参加的项目

  1. 题目: 基于用户偏好的可信社交服务推荐技术研究
    来源: 国家自然基金
    登记号: 61762002
    时间: 2018-1~2021-12
    职责: 参加
  2. 题目: 社交网络群体行为的动态推演及预控研究
    来源: 科技部国家重点研发计划（国际科技创新合作重点专项）
    项目号: 2017YFE0117500
    时间: 2019-1~2021-12
    职责: 牵头主持
  3. 题目: 资本市场系统性风险测度与传播机制研究
    来源: 科技部国家重点研发计划（社会治理与智慧社会科技支撑重点专项）
    项目号: 2022YFC3302601
    时间: 2022-10~2025-9
    职责: 课题负责人

近五年第一或通讯作者发表的主要论文

  1. Alex Munyole Luvembe, Weimin Li*, Shaohau Li, Fangfang Liu, Xing Wu. CAF-ODNN: Complementary Attention Fusion with Optimized Deep Neural Network for Multimodal Fake News Detection . Information Processing & Management, 2024,61(3):103653. (中科院1区TOP，高被引论文，IF:8.6)[Link]
  2. Alex Munyole Luvembe, Weimin Li*, Shaohua Li, Fangfang Liu, Guiqiong Xu. Dual emotion based fake news detection: A deep attention-weight update approach . Information Processing & Management , 2023 . (中科院1区，高被引论文，IF=8.6) [Link]
  3. Xiaokang Zhou, Wei Liang, Ke Yan, Weimin Li*, Kevin I-Kai Wang, Jianhua Ma, Qun Jin. Edge Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything. IEEE Internet of Things Journal, 2022. (中科院 1 区, 高被引论文， IF:9.642).[Link]
  4. Xiao Liu, Qunpeng Hu, Jinsong Li, Weimin Li*, Tong Liu, Mingjun Xin, Qun Jin. Decoupling representation contrastive learning for carbon emission prediction and analysis based on time series . Applied Energy, 2024:123368 . (中科院1区TOP，IF: 11.2).[Link]
  5. Fangyu Liu, Shizhong Yuan, Weimin Li*, Qun Xu, Xing Wu, Ke Han, Jingchao Wang, Shang Miao. Multi-task joint learning network based on adaptive patch pruning for Alzheimer’s disease diagnosis and clinical score prediction . Biomedical Signal Processing and Control, 2024:106398 . (中科院2区，IF: 5.1).[Link]
  6. Xiao Liu, Weimin Li*, Shang Miao, Fangyu Liu, Ke Han, Tsigabu T. Bezabih. HAMMF: Hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer’s disease . Computers in Biology and Medicine, 2024:123368 . (中科院2区，IF: 7.7).[Link]
  7. Xiao Yu, Weimin Li*,Bing Yang, Xiaorong Li, Jie Chen, Guohua Fu. Periodic Distribution Entropy: Revealing the Underlying Complexity of Physiological Time Series from Another Dimension . Information Fusion, 2024:102391. (中科院1区TOP，IF: 18.6).[Link]
  8. Chang Guo, Weimin Li*,Jingchao Wang, Xiao Yu, Xiao Liu, Alex Munyole Luvembe, Can Wang, Qun Jin. Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field . Knowledge-Based Systems, 2024,291(2):111580. (中科院1区TOP，IF: 8.8).[Link]
  9. Xiao Yu, Weimin Li*,Cai Zhang, Jingchao Wang, Yan Zhao, Fangfang Liu, Quanke Pan, Huazhong Liu, Jihong Ding, Dehua Chen. Time-Aware Multi-Behavior Graph Network Model for Complex Group Behavior Prediction . Information Processing & Management, 2024,61(3):103666. (中科院1区TOP，IF: 8.6).[Link]
  10. Jingchao Wang, Weimin Li*,Fangfang Liu, Zhenhai Wang, Alex Munyole Luvembe, Qun Jin, Quanke Pan, Fangyu Liu. ConeE: Global and Local Context-enhanced Embedding for Inductive Knowledge Graph Completion . Expert Systems with Applications, 2024,246(2024):123116. (中科院1区TOP，IF=8.5)[Link].
  11. Hongli Cheng, Shizhong Yuan,Weimin Li* et al.. De-accumulated error collaborative learning framework for predicting Alzheimer’s disease progression . Biomedical Signal Processing and Control, 2024. (中科院2区，IF=5.1) [Link]
  12. Jingchao Wang，Xiao Liu，Weimin Li*，Fangfang Liu，Xing Wu，Qun Jin. TE-TFN: A Text-enhanced Transformer Fusion Network for Multimodal Knowledge Graph Completion . IEEE Intelligent Systems, 2024(99):1-7. (中科院3区，IF:6.4)[Link]
  13. Xu, Q., Zhu, J., Luo, Y., Li, W*. Cell features reconstruction from gene association network of single cell. Interdisciplinary Sciences. Interdisciplinary Sciences: Computational Life Sciences, 2023. (中科院 2 区, IF:3.9).[Link]
  14. Weimin Li*, Lu Liu,Kevin I.K. Wang, Qun Jin. Preface of Special Issue on Heterogeneous Information Network Embedding and Applications . Future Generation Computer Systems, 2023. (中科院1区TOP，IF=7.5) [Link]
  15. Weimin Li, Chang Guo, Yanxia Liu, Xiaokang Zhou, Qun Jin, Mingjun Xin. Rumor Source Localization in Social Networks based on Infection Potential Energy . Information Sciences , 2023, 634：172-188 . (中科院1区TOP，IF：8.1) [Link]
  16. Jingchao Wang , Weimin Li*, Fangfang Liu, Bin Sheng, Wei Liu, Qun Jin. Hic-KGQA: Improving multi-hop question answering over knowledge graph via hypergraph and inference chain . Knowledge-Based Systems, 2023. (中科院1区，IF=8.8) [Link]
  17. Chang Guo, Weimin Li*, Fangfang Liu,Kexin Zhong, Xing Wu,Yougang Zhao, Qun Jin. Influence maximization algorithm based on group trust and local topology structure . Neurocomputing, 2023. (中科院2区，IF=6) [Link]
  18. Yan Zhao, Weimin Li*, Fangfang Liu,Jingchao Wang, Alex Munyole Luvembe. Integrating heterogeneous structures and community semantics for unsupervised community detection in heterogeneous networks . Expert Systems with Applications, 2023. (中科院1区，IF=8.5) [Link]
  19. Jingchao Wang,Weimin Li*, Wei Liu,Can Wang, Qun Jin. Enabling inductive knowledge graph completion via structure-aware attention network . Applied Intelligence , 2023. (中科院2区，IF=5.3) [Link]
  20. Mengying Wang,Weimin Li*, Xiao Yu,Yin Luo, Ke Han,Can Wang, Qun Jin. AffinityVAE: A multi-objective model for protein-ligand affinity prediction and drug design . Computational Biology and Chemistry , 2023. (中科院4区，IF=3.1) [Link]
  21. Shang Miao,Qun Xu,Weimin Li*,Chao Yang,Bin Sheng,Fangyu Liu,Tsigabu T. Bezabih, Xiao Yu. MMTFN: Multi-modal multi-scale transformer fusion network for Alzheimer's disease diagnosis . International Journal of Imaging Systems and Technology , 2023. (中科院4区，IF=3.3) [Link]
  22. Weimin Li*, Cai Zhang, Xiaokang Zhou, Qun Jin. Dynamic Multi-view Group Preference Learning for group behavior prediction in social networks . Expert Systems with Applications , 2023 . (中科院1区，IF=8.5) [Link]
  23. Shaohua Li, Weimin Li*, Alex Munyole Luvembe, Weiqin Tong. Graph Contrastive Learning With Feature Augmentation for Rumor Detection . IEEE Transactions on Computational Social Systems , 2023 . (中科院2区，IF=5.2) [Link]
  24. Xiao Yu, Weimin Li*, Jianjia Wang, Xing Wu, Bin Sheng. Construction of Gene Expression Patterns to Identify Critical Genes under SARS-CoV-2 Infection Conditions . IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2023. (IF=4) [Link]
  25. Weimin Li*, Chang Guo, Zhibin Deng, Fangfang Liu, Jianjia Wang, Ruiqiang Guo, Can Wang, Qun Jin. Coevolution modeling of group behavior and opinion based on public opinion perception . Knowledge-Based Systems, 2023, 110547. (中科院1区TOP，IF: 8.8) [Link]
  26. Xiao Yu, Weimin Li*, Bing Yang, Xiaorong Li, Jie Chen, Guohua Fu. Deviation distance entropy: A method for quantifying the dynamic features of biomedical time series . Chaos, Solitons & Fractals , 2023, 168: 113157. (中科院1区TOP，IF: 9.92) [Link]
  27. Li, W.*, Wang, J., Luo, Y., Bezabih, T. T. Multi-dimensional feature recognition model based on capsule network for ubiquitination site prediction. PeerJ, 2022. (中科院 3 区, IF:2.3).[Link]
  28. Xiaolong Xu, Chenyi Yang, Muhammad Bilal, Weimin Li*and Huihui Wang, Computation Offloading for Energy and Delay Trade-Offs With Traffic Flow Prediction in Edge Computing-Enabled IoV . IEEE Transactions on Intelligent Transportation Systems , doi: 10.1109/TITS.2022.3221975 . (中科院1区TOP，IF: 9.55) [Link]
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学术服务

编委会

  • 杂志 IEEE Transactions on Emerging Topics in Computing 的 Guest Editor
  • 杂志 IEEE Transactions on Computational Social Systems 的 Guest Editor
  • 杂志 Future Generation Computer Systems 的 Guest Editor

审稿人

  • 多个 SCI 杂志的审稿人

程序委员会主席

  • 国际会议 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2016)的程序主席成员
  • 国际会议 The 4th IEEE International Conference on Internet of People (IoP 2018)的Workshop/Special session Chair

组织者

  • 国际会议 2016,2017,2018,2019,2020 IEEE Cyber Science and Technology Congress (CyberSciTech)的 Special Session(CSC&CEA)的组织者

教授课程

  • 数据库原理
  • 组合数学
  • Oracle数据库
  • 移动互联网初探（通识课程）