Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning. - Kaiwu Zhang; Shiqiang Du; Baokai Liu; Shengxia Gao (CoRR, 2023)

Adaptive sparse graph learning for multi-view spectral clustering. - Qingjiang Xiao; Shiqiang Du; Kaiwu Zhang; Jinmei Song; Yixuan Huang (Appl. Intell., 2023)

Incomplete multi-view clustering based on low-rank representation with adaptive graph regularization. - Kaiwu Zhang; Baokai Liu; Shiqiang Du; Yao Yu; Jinmei Song (Soft Comput., 2023)

Dunhuang murals contour generation network based on convolution and self-attention fusion. - Baokai Liu; Fengjie He; Shiqiang Du; Kaiwu Zhang; Jianhua Wang (Appl. Intell., 2023)

Semi-supervised Multi-view Clustering Based on Non-negative Matrix Factorization and Low-Rank Tensor Representation. - Yao Yu; Baokai Liu; Shiqiang Du; Jinmei Song; Kaiwu Zhang (Neural Process. Lett., 2023)

Deep incomplete multi-view clustering via attention-based direct contrastive learning. - Kaiwu Zhang; Shiqiang Du; Yaoying Wang; Tao Deng (Expert Syst. Appl., 2024)

Multi-view spectral clustering based on constrained Laplacian rank. - Jinmei Song; Baokai Liu; Yao Yu; Kaiwu Zhang; Shiqiang Du (Mach. Vis. Appl., 2024)