Biography

  • Weimin Li, Male, Doctor of Engineering, is currently a professor and doctoral supervisor at the School of Computer Engineering and Science of Shanghai University. a visiting researcher at Waseda University, Japan. In 2013, he was funded by the Japan Society for the Promotion of Science (JSPS) to visit Waseda University in Japan for two months. He also had visited the University of California, Santa Barbara from December 2015 to December 2016. He is an IEEE member, a senior member of the China Computer Federation (CCF), and a member of the CCF Information System and Collaborative Computing Committee. Since 2005, he has published many academic papers in international journals, IEEE international conferences and national core journals. He is mainly engaged in scientific research in the fields of big data analysis, bioinformatics technology, wise information technology of medical and social network analysis, etc. Currently, he is a teacher of several undergraduate courses, including "Database Principles", "Combinatorial Mathematics", "Oracle Database" and "Mobile Internet Preliminary Exploration" (general education courses).

Research Field

  • Big Data Analysis
  • Bioinformatics Technology
  • Wise Information Technology of Medical
  • Social Network Analysis, etc.

Awards

  • Shanghai-level Teaching Achievement Award: Practice of training innovative talents for first-class computer disciplines. First prize, second place
  • Since 2010, I have trained students to participate in national and international ACM program competitions every year and won many gold and silver awards

Projects in the past three years

  1. Topic: Research on Trusted Social Service Recommendation Technology Based on User Preferences [Link]
    Source: The National Natural Science Foundation of China
    Scale: ¥400,000
    Registration Number: 61762002
    Date: 2018-1~2021-12
    Duty: Second person in charge
  2. Topic: Research on Dynamic Deduction and Pre-control of Social Network Group Behavior
    Source: National Key R&D Program of China of the Ministry of Science and Technology (Key Special Project for International Science and Technology Innovation Cooperation)
    Scale: ¥2,500,000
    Registration Number: 2017YFE0117500
    Date: 2019-1~2021-12
    Duty: The Host
  3. Topic: Research on Systematic Risk Measurement and Propagation Mechanism of Capital Market
    Source: National Key R&D Program of China
    Scale: ¥3,010,000
    Date: 2022-10~2025-9
    Duty: Project Leader

Main papers published in the past five years

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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，IF:8.6)[Link]
  8. 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].
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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，IF=8.6) [Link]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  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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Academic Services

Editorial Board

  • The Guest Editor of the magazine IEEE Transactions on Emerging Topics in Computing
  • The Guest Editor of the magazine IEEE Transactions on Computational Social Systems
  • The Guest Editor of the magazine Future Generation Computer Systems

Paper Reviewer

  • The Reviewer of multiple SCI journals

Program Chair

  • The program chair member of the 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2016)
  • The Workshop/Special session Chair of the 4th IEEE International Conference on Internet of People (IoP 2018)

Organizer

  • The organizer of the Special Session (CSC&CEA) of 2016, 2017, 2018, 2019, 2020 IEEE Cyber Science and Technology Congress (CyberSciTech)

Teaching

  • Database Principle
  • Combinatorial Mathematics
  • ORACLE Database
  • Mobile Internet Preliminary Exploration(General Education Courses)