Distributed learning for supervised multiview feature selection. - Min Men; Ping Zhong 003; Zhi Wang 019; Qiang Lin (Appl. Intell., 2020)

Re-weighting regression and sparsity regularization for multi-view classification. - Zhi Wang 019; Min Men; Ping Zhong 003 (Appl. Intell., 2022)

Block-based multi-view classification via view-based L2, p sparse representation and adaptive view fusion. - Zhi Wang 019; Qiang Lin; Yingyi Chen; Ping Zhong 003 (Eng. Appl. Artif. Intell., 2022)

Sparse robust multiview feature selection via adaptive-weighting strategy. - Zhi Wang 019; Jing Zhong; Yuqing Chen; Ping Zhong 003 (Int. J. Mach. Learn. Cybern., 2022)

Supervised multi-view classification via the sparse learning joint the weighted elastic loss. - Qiang Lin; Zhi Wang 019; Yingyi Chen; Ping Zhong 003 (Signal Process., 2022)

Retargeted multi-view classification via structured sparse learning. - Zhi Wang 019; Zhencai Shen; Hui Zou; Ping Zhong 003; Yingyi Chen (Signal Process., 2022)

Heterogeneous domain adaptation by class centroid matching and local discriminative structure preservation. - Yuqing Chen; Heng Zhou 007; Zhi Wang 019; Ping Zhong 003 (Neural Comput. Appl., 2024)