近五年发表的主要论文

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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].
  6. 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]
  7. 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]
  8. 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，IF=7.5) [Link]
  9. 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=8.6) [Link]
  10. 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]
  11. 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]
  12. 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]
  13. 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3区，IF=3.1) [Link]
  14. 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]
  15. 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=8.3) [Link]
  16. 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=8.2) [Link]
  17. 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]
  18. 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]
  19. 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: 8.139)
  20. 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：8.233) [Link]
  21. 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]
  22. 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]
  23. Weimin Li*, Lin Ni, Jianjia Wang, Can Wang. Collaborative representation learning for nodes and relations via heterogeneous graph neural network. Knowledge-Based Systems, 2022, 255: 109673. (中科院1区TOP，IF: 8.139)[Link]
  24. 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]
  25. Wenya Hu, Weimin Li, Xiaokang Zhou, Akira Kawai, Kaoru Fueda, Quan Qian, Jianjia Wang. Spatio-Temporal Graph Convolutional Networks via View Fusion for Trajectory Data Analytics. IEEE Transactions on Intelligent Transportation Systems, 2022. (中科院 1 区TOP, IF:9.55)[Link]
  26. Fangyu Liu, Shizhong Yuan, Weimin Li*, Qun Xu, Bin Sheng. Patch-based deep multi-modal learning framework for Alzheimer’s disease diagnosis using multi-view neuroimaging . Biomedical Signal Processing and Control, 2022. (中科院 2 区, IF:5.08)[Link]
  27. Yin Luo, Jiulei Jiang, Jiajie Zhu, Qiyi Huang, Weimin Li*, Ying Wang and Yamin Gao. A Caps-Ubi Model for Protein Ubiquitination Site Prediction. Frontiers in Plant Science, 2022, 13. (中科院 2 区, IF:6.627)[Link]
  28. Shaohua Li, Weimin Li, Alex Munyole Luvembe, Jinhui Li, Weiqin Tong. Graph Attention Self-Supervised Learning for Rumor Idenfication. Available at SSRN 4173339. [Link]
  29. Cai Zhang, Weimin Li*, Dingmei Wei, Yanxia Liu, Zheng Li. Network Dynamic GCN Influence Maximization Algorithm With Leader Fake Labeling Mechanism. IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3193583. (IF: 4.747)[Link]
  30. Weimin Li, Dingmei Wei, Xiaokang Zhou, Shaohua Li, Qun Jin. F-SWIR: Rumor Fick-spreading model considering fusion information decay in social networks. Concurrency and Computation: Practice and Experience, e7166. (中科院 4 区, IF:1.831)[Link]
  31. Weimin Li, Zhibin Deng, Xiaokang Zhou, Qun Jin, Bin Sheng. Modeling social network behavior spread based on group cohesion under uncertain environment. Concurrency and Computation: Practice and Experience, e7101. (中科院 4 区, IF:1.831)[Link]
  32. YanXia Liu, Weimin Li*, Chao Yang, JianJia Wang. Multi-source detection based on neighborhood entropy in social networks. Scientific Reports, 2022, 12(1): 1-12. (中科院 3 区, IF:4.996)[Link]
  33. Weimin Li, Yaqiong Li, Wei Liu, Can Wang. An influence maximization method based on crowd emotion under an emotion-based attribute social network. Information Processing and Management, 2022, 59(2):1028189. (中科院 1 区TOP, 热引论文，IF:6.222)[Link]
  34. Xiaokang Zhou, Wei Liang, Weimin Li, Kevin I. K. Wang. Hierarchical Adversarial Attacks Against Graph Neural Network Based IoT Network Intrusion Detection System. IEEE Internet of Things Journal(99). DOI: 10.1109/JIOT.2021.3130434. (中科院 1 区TOP, 高被引论文，IF:11.705)[Link]
  35. Weimin Li, Xiaokang Zhou, Yang Chao, Yuting Fan, Zhao Wang, Yanxia Liul. Multi-objective optimization algorithm based on characteristics fusion of dynamic social networks for community discovery[J]. Information Fusion, 2021. 79:110-123. (中科院 1 区, IF:12.975)[Link]
  36. Weimin Li, Zheng Li, Alex Munyole Luvembe, Chao Yang, Influence maximization algorithm based on Gaussian propagation model, Information Sciences, 2021, 568: 386–402. (中科院 1 区，IF:5.246)[Link]
  37. Weimin Li*, Heng Zhu, Shaohua Li, Hao Wang, Hongning Dai, Can Wang, Qun Jin. Evolutionary Community Discovery in Dynamic Social Networks via Resistance Distance. Expert Systems with Applications, 2021，171:114536. (中科院 1 区，IF:5.452)[Link]
  38. Weimin Li*, Kexin Zhong, Jianjia Wang, Dehua Chen. A Dynamic Algorithm based on Cohesive Entropy for Influence Maximization in Social Networks, Expert Systems With Applications, 2020. 169:114207. (中科院 1 区，IF:5.452)[Link]
  39. Ye Tao, Can Wang, Lina Yao, Weimin Li & Yonghong Yu. Item trend learning for sequential recommendation system using gated graph neural network. Neural Computing and Applications (2021). (中科院 2 区，IF:4.774)[Link]
  40. Xiaokang Zhou, Shaohua Li, Zheng Li, Weimin Li*. Information Diffusion Across Cyber-Physical-Social Systems in Smart City: A Survey. Neurocomputing, 2021. 444:203-213. (中科院 2 区, IF:4.438)[Link]
  41. Weimin Li*, Fan Y, Mo J, et al. Three-hop velocity attenuation propagation model for influence maximization in social networks[J]. World Wide Web, 2020, 23(2): 1261-1273. (CCF B 类, IF:2.892)[Link]
  42. Jiang J, Wang H, Weimin Li*. A Trust model based on a time decay factor for use in social networks[J]. Computers & Electrical Engineering, 2020, 85: 106706. (中科院 3 区，IF:2.663)[Link]
  43. Xu X, Fu S, Weimin Li*, et al. Multi-objective data placement for workflow management in cloud infrastructure using NSGA-II[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, 4(5): 605-615.[Link]
  44. Liu W, Jiang L, Wu Y, T Tang, Weimin Li. Topic Detection and Tracking Based on Event Ontology[J]. IEEE Access, 2020. (中科院 2 区, IF: 3.745)[Link]
  45. Meng S, Li Q, Wu T, Huang W, Zhang J, Li W*. A fault-tolerant dynamic scheduling method on hierarchical mobile edge cloud computing. Computational Intelligence. 2019;1 – 22. (CCF-C 类,IF:1.196)[Link]
  46. 王辛，王晓峰，李卫民* ，一种求解最小割的警示传播算法，电子学报，2019, Vol. 47 (11): 2386-2391.[Link]
  47. Chen, D., Huang, M., & Li, W.* (2019). Knowledge-Powered Deep Breast Tumor Classification with Multiple Medical Reports. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2019 Nov 25. doi: 10.1109/TCBB.2019.2955484. (中科院 3 区, IF:3.015)[Link]
  48. Xiaolong Xu,Shucun Fu, Weimin Li*,Fei Dai, Honghao Gao, and Victor Chang (2020). Multi-objective data placement for workflow management in cloud infrastructure using NSGA-II. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(5), 605-615.[Link]
  49. Weimin Li, Xiaokang Zhou, Shohei Shimizu, Mingjun Xin, Jiulei Jiang, Honghao Gao, Qun Jin Personalization Recommendation Algorithm Based on Trust Correlation Degree and Matrix Factorization, in IEEE Access. 2019,7(1):45451-45459. (中科院 2 区, IF:3.745)[Link]
  50. Weimin Li, Hen Zhu, Wei Liu, Dehua Chen, Jiulei Jiang, Qun Jin. An anti-noise process mining algorithm based on minimum spanning tree clustering. IEEE Access. 2018, 6: 48756-48764.(中科院 2 区, IF:3.745)[Link]
  51. Weimin Li, Jun Xie, Mingjun Xin, Jun Mo, An Overlapping Network Community Partition Algorithm Based On Semi-Supervised Matrix Factorization and Random Walk, Expert Systems with Applications, 2018, 91: 277-285.(中科院 1 区, IF:5.452)[Link]
  52. Weimin Li, Shu Jiang, Qun Jin, Overlap community detection using spectral algorithm based on node convergence degree, Future Generation Computer Systems, 2018,79(1):408-416. (中科院 2 区，IF:6.125)[Link]
  53. Yi Xu, Zhi Zhuang, Weimin Li*,Xiaokang Zhou. Effective Community Division Based on Improved Spectral Clustering. Neurocomputing. 2018,279:54-62.(中科院 2 区, IF:4.438)[Link]
  54. Weimin Li, Jun Mo,Minjun Xin, Qun Jin. An optimized trust model integrated with linear features for cyber-enabled recommendation services. Journal of Parallel and Distributed Computing.2018,118(1):81-88.(CCF-B类, IF:2.296)[Link]
  55. Weimin Li, Zhengbo Ye, Minjun Xin, Qun Jin. Social recommendation based on trust and influence in SNS environments[J]. Multimedia Tools and Applications, 2017, 76(9): 11585-11602.(中科院 4 区, IF:2.313)[Link]
  56. Weimin Li, Xunfeng Li, Mengke Yao, Jiulei Jiang and Qun Jin. Personalized fitting recommendation based on support vector regression. Human-centric Computing and Information Sciences, 07/ 2015, 5:21.doi:10.1186/s13673-015-0041-2.(中科院 2 区, IF:3.7)[Link]
  57. Xin Mingjun, Lu Manli, Li Weimin. An adaptive collaboration evaluation model and its algorithm oriented to multi-domain location-based services. Expert Systems with Applications, v 42, n 5, p 2798-2807, April 1, 2015(中科院 1 区, IF:5.452)[Link]
  58. Jianwei Liu, Weimin Li, Deep Reinforcement Learning with Temporal-Awareness Network. ICONIP 2020, accepted.[Link]
  59. Ze-Yu Liu, Jian-Wei Liu, Xin Zuo and Wei-Min Li. Learning 3D-Craft Generation with Predictive Action Neural Network, MMM2021, 2020. Accepted.[Link]
  60. Tao, Y., Wang, C., Yao, L., Weimin Li, & Yu, Y. (2020). TRec: Sequential Recommender BasedOn Latent Item Trend Information. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.[Link]
  61. Lu Fang, Tong Liu*, Honghao Gao, Chenhong Cao, Weimin Li, Weiqin Tong, An Efficient and Truthful Online Incentive Mechanism for a Social Crowdsensing Network, accepted by International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2020).[Link]
  62. Yue Ren, Xinyuan Zhang, Liting Xia, Yongze Lin, Yue Zhao, Weimin Li*, An Influence Maximization Algorithm Based on Real-time and De-superimposed Diffusibility.CollaborateCom 2019 - 15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing. (CCF-C 类)[Link]
  63. Weimin Li, et al. A Novel Personalized Recommendation Algorithm Based on Trust Relevancy Degree. 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech). IEEE, 2018.doi: 10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00046[Link]
  64. Weimin Li, J. Mo, Y. Liu, N. Ito, Y. Murase and J. Liu, The Influence Maximization Problem in the Network Under Node Personalized Characteristics, 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Athens, 2018, pp. 216-221.[Link]
  65. Wang, Hanxu, Jiulei Jiang, and Weimin Li. A Dynamic Trust Model Based on Time Decay Factor. 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2018.[Link]
  66. Chen, Dehua, Junhao Zhang, and Weimin Li. Thyroid Nodule Classification Using Two Levels Attention-Based Bi-Directional LSTM with Ultrasound Reports. 2018 9th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2018.[Link]
  67. Yu, S., Cai, G.,Weimin Li, & Xie, J. (2018, August). Top-K Frequent Spatial-Temporal Words Query Based on R-Tree. In 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) (pp. 423-428). IEEE.[Link]
  68. Weimin Li, Shu Jiang, Qun Jin, Overlap community detection using spectral algorithm based on node convergence degree, Future Generation Computer Systems, 2018,79(1):408-416.(SCI，JCR-2区, IF:4.639)[Link]
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