Chameleon algorithm based on improved natural neighbor graph generating sub-clusters. - Yuru Zhang; Shifei Ding; Yanru Wang; Haiwei Hou (Appl. Intell., 2021)

A novel self-attention deep subspace clustering. - Zhengfan Chen; Shifei Ding; Haiwei Hou (Int. J. Mach. Learn. Cybern., 2021)

A deep clustering by multi-level feature fusion. - Haiwei Hou; Shifei Ding; Xiao Xu 006 (Int. J. Mach. Learn. Cybern., 2022)

A novel clustering algorithm based on multi-layer features and graph attention networks. - Haiwei Hou; Shifei Ding; Xiao Xu 006; Ling Ding 001 (Soft Comput., 2023)

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. - Ling Ding 001; Peng Du; Haiwei Hou; Jian Zhang 019; Di Jin 001; Shifei Ding (Big Data Res., 2023)

Semi-supervised deep density clustering. - Xiao Xu 006; Haiwei Hou; Shifei Ding (Appl. Soft Comput., 2023)

Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging. - Chao Li; Shifei Ding; Xiao Xu 006; Haiwei Hou; Ling Ding 001 (Inf. Sci., 2023)

Deep Friendly Embedding Space for Clustering. - Haiwei Hou; Shifei Ding; Xiao Xu 006; Lili Guo (IIP (1), 2024)

Non-iterative border-peeling clustering algorithm based on swap strategy. - Hui Tu; Shifei Ding; Xiao Xu 006; Haiwei Hou; Chao Li; Ling Ding 001 (Inf. Sci., 2024)

Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix. - Shifei Ding; Haiwei Hou; Xiao Xu 006; Jian Zhang 019; Lili Guo; Ling Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)