Structural regularization based discriminative multi-view unsupervised feature selection. - Shixuan Zhou; Peng Song 002; Yanwei Yu; Wenming Zheng (Knowl. Based Syst., 2023)

Soft-label guided non-negative matrix factorization for unsupervised feature selection. - Shixuan Zhou; Peng Song 002; Zihao Song; Liang Ji (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)

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)

Consistency-exclusivity guided unsupervised multi-view feature selection. - Shixuan Zhou; Peng Song 002 (Neurocomputing, 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)

Enhanced tensor based embedding anchor learning for multi-view clustering. - Beihua Yang; Peng Song 002; Yuanbo Cheng; Shixuan Zhou; Zhaowei Liu (Inf. Sci., 2025)

Low-rank tensor based smooth representation learning for multi-view unsupervised feature selection. - Changjia Wang; Peng Song 002; Meng Duan; Shixuan Zhou; Yuanbo Cheng (Knowl. Based Syst., 2025)

Unsupervised feature selection with evolutionary sparsity. - Shixuan Zhou; Yi Xiang; Han Huang 002; Pei Huang 019; Chaoda Peng; Xiaowei Yang 003; Peng Song (Neural Networks, 2025)