扬州大学信息工程学院讲师，硕士生导师，中信所博士后。担任TKDE，TII，PR，ASOC，KBS，ESWA，IPM，Information Systems，Neurocomputing，EAAI等SCI期刊和《燕山大学学报》等国内期刊审稿人，担任IEEE Bigdata, SIGKDD，CIKM，ICDCS等主流会议PC Member。  

研究方向和兴趣：   

联邦聚类

[1] Wang, Yizhang(#); Pang, Wei; Wang, Di; Witold, Pedrycz(#). One-shot Secure Federated K-means Clustering based on Density Cores[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025. （中科院一区）

[2] Wang Y(#), Pang W, Pedrycz W. One-Shot Federated Clustering Based on Stable Distance Relationships[J]. IEEE Transactions on Industrial Informatics, 2024. （中科院一区）

多密度聚类算法理论  

[3] Wang Y, Wang D, Zhou Y, et al. VDPC: Variational density peak clustering algorithm[J]. Information Sciences, 2023, 621: 627-651. （中科院一区，一作）

[4] Wang Y(#), Qian J, Hassan M, et al. Density peak clustering algorithms: A review on the decade 2014–2023[J]. Expert Systems with Applications, 2023: 121860. （中科院一区）

[5] Qian J, Zhou Y, Han X, Wang Y(#). MDBSCAN: A multi-density DBSCAN based on relative density[J]. Neurocomputing, 2024: 127329.（中科院二区，学生一作）

[6] Wang Y, Wang D, Zhang X, et al. McDPC: multi-center density peak clustering[J]. Neural Computing and Applications, 2020, 32(17): 13465-13478.(中科院2区)

[7] Wang Y, Wang D, Pang W, et al. A systematic density-based clustering method using anchor points[J]. Neurocomputing, 2020, 400: 352-370. (中科院2区) 

自适应聚类 

[8] Wang Y(#), Pang W, Jiao Z. An Adaptive Mutual K-nearest Neighbors Clustering Algorithm based on Maximizing Mutual Information[J]. Pattern Recognition, 2022, 137: 109273. （中科院一区）

[9] Wang Y(#), Pang W, Zhou J. An improved density peak clustering algorithm guided by pseudo labels[J]. Knowledge-Based Systems, 2022, 252: 109374. （中科院一区）

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