男，江苏南通人，博士研究生，2024年毕业于江南大学，2023-2024年赴香港理工大学访问交流。主要从事人工智能与模式识别，可解释性与模糊不确定性学习，生物信息学。参与了国家自然科学基金、国家重点研发项目3项。
[1] W. Zhang, Z. Deng and T. Zhang et al., Multi-view Fuzzy Representation Learning with Rules based Model [J]. IEEE Transactions on Knowledge and Data Engineering, 2023, DOI:10.1109/TKDE.2023.3295874 (CCF A，中科院一区，IF: 8.9)
[2] W. Zhang, Z. Deng and J. Wang et al., Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning [J]. IEEE Transactions on Cybernetics, vol. 52, no. 10, pp. 11226-11239, 2021. (中科院一区，IF:9.4)
[3] W. Zhang, Z. Deng and T. Zhang et al., Incomplete Multi-view Fuzzy Inference System with Missing View Imputation and Cooperative Learning [J]. IEEE Transactions on Fuzzy Systems, vol 30, no. 8, pp. 3038-3051, 2021. (中科院一区，IF: 10.7)
[4] W. Zhang, Z. Deng and K.Z. Choi et al., End-to-end Incomplete Multiview Fuzzy Clustering with Adaptive Missing View Imputation and Cooperative Learning [J]. IEEE Transactions on Fuzzy Systems, vol 31, no. 5, pp. 1445-1459, 2023. (中科院一区，IF: 10.7)
[5] W. Zhang, Z. Deng and T. Zhang et al., One-step Multi-View Fuzzy Clustering with Collaborative Learning between Common and Specific Hidden Spaces [J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI:10.1109/TNNLS.2023.3274289. (中科院一区，IF: 10.2)
[6] W. Zhang, Z. Deng and Q. Lou et al., Takagi-Sugeno-Kang Fuzzy System Towards Label-scarce Incomplete Multi-View Data Classification [J]. Information Sciences, vol. 647, p. 119466, 2023. (中科院一区，IF: 8.1)
[7] Q. Lou, W. Sun, W. Zhang et al., Rules based Heterogeneous Feature Transfer Learning using Fuzzy Inference [J]. IEEE Transactions on Fuzzy Systems, 2023, DOI: 10.1109/TFUZZ.2023.3298147. (中科院一区，IF: 10.7)
[8] A. Li, Z. Deng and W. Zhang et al., Multi-view Transfer Representation Learning with TSK Fuzzy System for EEG Epilepsy Detection [J]. IEEE Transactions on Fuzzy Systems, 2023, DOI:10.1109/TFUZZ.2023.3288479. (中科院一区，IF: 10.7)
[9] H. Yang, Z. Deng and W. Zhang et al., End-to-end Multi-view Fuzzy Clustering With Double Representation Learning and Visible-hidden View Cooperation [J]. IEEE Transactions on Fuzzy Systems, 2023, DOI:10.1109/TFUZZ.2023.3300925. (中科院一区，IF: 10.7)
[10] Z. Zhao, H. Yang, Z. Deng and W. Zhang et al. Pseudo-label Enhanced Multi-view Deep Concept Factorization Fuzzy Clustering [J]. IEEE Transactions on Fuzzy Systems, 2024, DOI: 10.1109/TFUZZ.2024.3416537. (中科院一区，IF: 10.7)
[11] Z. Deng, L. Liang, H. Yang and W. Zhang et al. Enhanced multiview fuzzy clustering using double visible-hidden view cooperation and network LASSO constraint[J]. IEEE Transactions on Fuzzy Systems, 2022, 30(11): 4965-4979. (中科院一区，IF: 10.7)
[12] Z. Wang, Z. Deng and W. Zhang et al., MMSMAPlus: a multi-view multi-scale multi-attention embedding model for protein function prediction [J]. Briefings in Bioinformatics, 2023, DOI: https://doi.org/10.1093/bib/bbad201. (中科院一区（小类），IF:9.5)
[13] Q. Wu, Z. Deng and W. Zhang et al., MLNGCF: circRNA–disease associations prediction with multilayer attention neural graph-based collaborative filtering [J]. Bioinformatics, 2023, DOI: https://doi.org/10.1093/bioinformatics/btad499. (中科院三区，IF:5.8)
[14] W. Tang, Z. Deng, H. Zhou and W. Zhang et al., MVDINET: A Novel Multi-level Enzyme Function Predictor with Multi-view Deep Interactive Learning [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, DOI: 10.1109/TCBB.2023.3337158. (中科院三区，IF:4.5)
[15] C. Wang, W. Zhang and R. Tian et al., Model‐driven design of synthetic N‐terminal coding sequences for regulating gene expression in yeast and bacteria [J]. Biotechnology Journal, 2022, vol. 17, no. 5, pp. 2100655. (中院二区，IF:4.7)
担任期刊IEEE Transactions on Neural Networks and Learning Systems，IEEE Transactions on Emerging Topics in Computational Intelligence，Information Fusion，Neurocomputing和Remote Sensing of Environment审稿人。
