Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning. - Baicheng Pan; Chuandong Li 001; Hangjun Che (Neural Networks, 2023)

Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding. - Baicheng Pan; Chuandong Li 001; Hangjun Che (Eng. Appl. Artif. Intell., 2024)

Low-Rank Tensor Regularized Graph Fuzzy Learning for Multi-View Data Processing. - Baicheng Pan; Chuandong Li 001; Hangjun Che; Man-Fai Leung; Keping Yu (IEEE Trans. Consumer Electron., 2024)

Projected cross-view learning for unbalanced incomplete multi-view clustering. - Yiran Cai; Hangjun Che; Baicheng Pan; Man-Fai Leung; Cheng Liu 001; Shiping Wen 001 (Inf. Fusion, 2024)

Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise. - Xinyu Pu; Hangjun Che; Baicheng Pan; Man-Fai Leung; Shiping Wen 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Tensor Factorization With Sparse and Graph Regularization for Fake News Detection on Social Networks. - Hangjun Che; Baicheng Pan; Man-Fai Leung; Yuting Cao; Zheng Yan 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Weight consistency and cluster diversity based concept factorization for multi-view clustering. - Youyang Tao; Hangjun Che; Chenglu Li; Baicheng Pan; Man-Fai Leung (Digit. Signal Process., 2025)

Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing. - Baicheng Pan; Hangjun Che; Chenglu Li; Hongfei Li 001 (IEEE Trans. Consumer Electron., 2025)