A new semi-supervised fuzzy K-means clustering method with dynamic adjustment and label discrimination. - Hengdong Zhu; Wenxiu Xie; Yuanyuan Mu; Juan Xu; Fu Lee Wang; Yingying Qu; Tianyong Hao (Neural Comput. Appl., 2024)

A new semi-supervised fuzzy clustering method based on latent representation learning and information fusion. - Hengdong Zhu; Baoshuo Kan; Yong Li; Enliang Yan; Heng Weng; Fu Lee Wang; Tianyong Hao (Appl. Soft Comput., 2025)

A new robust semi-supervised clustering method based on adaptive credibility estimation and locality preservation. - Hengdong Zhu; Rongjiao Liang; Baoshuo Kan; Enliang Yan; Fu Lee Wang; Tianyong Hao (Neurocomputing, 2025)

A new graph-based clustering method with dual-feature regularization and Laplacian rank constraint. - Hengdong Zhu; Yingshan Shen; Choujun Zhan; Fu Lee Wang; Heng Weng; Tianyong Hao (Knowl. Based Syst., 2025)

An Event-Aware Dual Representation Model With Mixture-of-Experts for Serious Adverse Events Prediction in Clinical Trials. - Baoshuo Kan; Teng Wang; Hengdong Zhu; Rongjiao Liang; Enliang Yan; Fu Lee Wang; Tianyong Hao (IEEE Trans. Consumer Electron., 2025)