Dual-graph regularized concept factorization for multi-view clustering. - Jinshuai Mu; Peng Song 002; Xiangyu Liu; Shaokai Li (Expert Syst. Appl., 2023)

Tensor-based consensus learning for incomplete multi-view clustering. - Jinshuai Mu; Peng Song 002; Yanwei Yu; Wenming Zheng (Expert Syst. Appl., 2023)

Consensus and discriminative non-negative matrix factorization for multi-view unsupervised feature selection. - Meng Duan; Peng Song 002; Shixuan Zhou; Jinshuai Mu; Zhaowei Liu (Digit. Signal Process., 2024)

Deep embedding based tensor incomplete multi-view clustering. - Peng Song 002; Zhaohu Liu; Jinshuai Mu; Yuanbo Cheng (Digit. Signal Process., 2024)

Comprehensive multi-view self-representations for clustering. - Yuanbo Cheng; Peng Song 002; Jinshuai Mu; Yanwei Yu; Wenming Zheng (Expert Syst. Appl., 2024)

Clean affinity matrix induced hyper-Laplacian regularization for unsupervised multi-view feature selection. - Peng Song 002; Shixuan Zhou; Jinshuai Mu; Meng Duan; Yanwei Yu; Wenming Zheng (Inf. Sci., 2024)

Shared Latent Embedding Learning for Multi-View Subspace Clustering. - Zhaohu Liu; Peng Song 002; Jinshuai Mu; Wenming Zheng (IEICE Trans. Inf. Syst., 2024)

High-order correlation preserved multi-view unsupervised feature selection. - Meng Duan; Peng Song 002; Shixuan Zhou; Yuanbo Cheng; Jinshuai Mu; Wenming Zheng (Eng. Appl. Artif. Intell., 2025)

Essential anchor graph learning for incomplete multi-view clustering. - Peng Song 002; Jinshuai Mu; Yuanbo Cheng; Zhaohu Liu; Wenming Zheng (Eng. Appl. Artif. Intell., 2025)