Integrating Tensor Similarity to Enhance Clustering Performance. - Hong Peng; Jiazhou Chen; Haiyan Wang 005; Yu Hu 004; Hongmin Cai (CoRR, 2019)

Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering. - Haiyan Wang 005; Guoqiang Han; Bin Zhang 050; Yu Hu 004; Hong Peng; Chu Han; Hongmin Cai (BIBM, 2020)

A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences. - Haiyan Wang 005; Guoqiang Han; Haojiang Li; Guihua Tao; Enhong Zhuo; Lizhi Liu; Hongmin Cai; Yangming Ou (Comput. Math. Methods Medicine, 2020)

Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering. - Haiyan Wang 005; Guoqiang Han; Bin Zhang 050; Guihua Tao; Hongmin Cai (Neurocomputing, 2020)

Multi-View Tensor Clustering Through Exploiting Both Within-View and Across-View High-Order Correlations. - Haiyan Wang 005; Guoqiang Han; Yu Hu 004; Hong Peng; Jiazhou Chen; Bin Zhang 050; Hongmin Cai (ICME, 2021)

Methods of privacy-preserving genomic sequencing data alignments. - Dandan Lu; Yue Zhang 045; Ling Zhang; Haiyan Wang 005; Wanlin Weng; Li Li; Hongmin Cai (Briefings Bioinform., 2021)

Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold. - Wentao Rong; Enhong Zhuo; Hong Peng; Jiazhou Chen; Haiyan Wang 005; Chu Han; Hongmin Cai (Inf. Sci., 2021)

Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning. - Haiyan Wang 005; Guoqiang Han; Junyu Li 001; Bin Zhang 050; Jiazhou Chen; Yu Hu 004; Chu Han; Hongmin Cai (Inf. Sci., 2021)

Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold. - Haiyan Wang 005; Guoqiang Han; Bin Zhang 050; Guihua Tao; Hongmin Cai (IEEE Trans. Image Process., 2021)

Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation. - Haiyan Wang 005; Jiazhou Chen; Bin Zhang 050; Hongmin Cai (BIBM, 2022)

Integrating Tensor Similarity to Enhance Clustering Performance. - Hong Peng; Yu Hu 004; Jiazhou Chen; Haiyan Wang 005; Yang Li 172; Hongmin Cai (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-dimensional clustering through fusion of high-order similarities. - Hong Peng; Haiyan Wang 005; Yu Hu 004; Weiwei Zhou; Hongmin Cai (Pattern Recognit., 2022)

Fast and Accurate Clustering of Multiple Modality Data via Feature Matching. - Bin Zhang 050; Hongmin Cai; Jiazhou Chen; Yu Hu 004; Jie Huang; Wentao Rong; Wanlin Weng; Qinjian Huang; Haiyan Wang 005; Hong Peng (IEEE Trans. Cybern., 2022)

A novel initialization method for monocular visual inertial navigation. - Chuanqi Cheng; Haiyan Wang 005; Yuan Yu; Jie Huang 006; Dexiang Yang (VSIP, 2023)

Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering. - Yue Zhang 045; Xin Sun; Hongmin Cai; Haiyan Wang 005; Jiazhou Chen; Endai Guo; Fei Qi 007; Junyu Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Efficient Multi-View Clustering via Essential Tensorized Bipartite Graph Learning. - Wanrong Gu; Junlong Guo; Haiyan Wang 005; Guangyu Zhang; Bin Zhang 050; Jiazhou Chen; Hongmin Cai (IEEE Trans. Emerg. Top. Comput. Intell., 2025)