Multi-label feature selection based on logistic regression and manifold learning. - Yao Zhang 017; Yingcang Ma; Xiaofei Yang 004 (Appl. Intell., 2022)

Sparse multi-label feature selection via dynamic graph manifold regularization. - Yao Zhang 017; Yingcang Ma (Int. J. Mach. Learn. Cybern., 2023)

Multi-label feature selection via latent representation learning and dynamic graph constraints. - Yao Zhang 017; Wei Huo; Jun Tang 007 (Pattern Recognit., 2024)

Sparse multi-label feature selection via pseudo-label learning and dynamic graph constraints. - Yao Zhang 017; Jun Tang 007; Ziqiang Cao; Han Chen (Inf. Fusion, 2025)

Semi-supervised multi-label feature selection via partial label correlation and feature self-representation. - Yao Zhang 017; Jun Tang 007; Ziqiang Cao (Knowl. Based Syst., 2025)