代表性论文或专著 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. (CCF B,中科院1区TOP，高被引论文，IF:8.6) 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 . (CCF B,中科院1区，高被引论文，IF=8.6) 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. (CCF C,中科院 1 区, 高被引论文， IF:9.642). 4. Feng, Yifan, Weimin Li*, Yue Wang,Jingchao Wang, Fangfang Liu,Zhongming Han . Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 39(22), 2025. . (CCF A). 5. Wang, Yue,Sizhong Yuan,Weimin Li*,et al. Heterogeneous network for Hierarchical Fine-Grained Domain Fake News Detection . Information Processing & Management, 62(4):104141, 2025. . (CCF B,中科院1区，IF=8.6). 6. Dai, Mengying, Weimin Li*, et al. Multilevel structure fusion for community detection in heterogeneous graphs via disrupting heterophily . Knowledge-Based Systems, 316(2025):113362 . (CCF C,中科院1区TOP，IF: 8.8). 7. 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). 8. Chen, Nan, Weimin Li*, et al. A signal-diffusion-based unsupervised contrastive representation learning for spatial transcriptomics analysis . Bioinformatics, 2024, 40(11):btae663. . (CCF B,中科院3区，IF: 4.4). 9. 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). 10. 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). 11. 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). 12. 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. (CCF C,中科院1区TOP，IF: 8.8). 13. 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. (CCF B,中科院1区TOP，IF: 8.6). 14. 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. (CCF C,中科院1区TOP，IF=8.5) . 15. 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) 16. 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) 17. 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). 18. 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. (CCF C,中科院1区TOP，IF=7.5) 19. 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 . (CCF B,中科院1区TOP，IF：8.1) 20. 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. (CCF C,中科院1区，IF=8.8) 21. 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. (CCF C,中科院2区，IF=6) 22. 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. (CCF C,中科院1区，IF=8.5) 23. Jingchao Wang,Weimin Li*, Wei Liu,Can Wang, Qun Jin. Enabling inductive knowledge graph completion via structure-aware attention network . Applied Intelligence , 2023. (CCF C, 中科院2区，IF=5.3) 24. 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) 25. 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) 26. 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 . (CCF C,中科院1区，IF=8.5) 27. 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 . (CCF C,中科院2区，IF=5.2) 28. 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. (CCF B,IF=4) 29. 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. (CCF C,中科院1区TOP，IF: 8.8) 30. 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) 31. 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). 32. 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 . (CCF B, 中科院1区TOP，IF: 9.55) |
