Feature selection via Non-convex constraint and latent representation learning with Laplacian embedding. - Ronghua Shang; Jiarui Kong; Jie Feng 003; Licheng Jiao (Expert Syst. Appl., 2022)

Uncorrelated feature selection via sparse latent representation and extended OLSDA. - Ronghua Shang; Jiarui Kong; Weitong Zhang; Jie Feng 003; Licheng Jiao; Rustam Stolkin (Pattern Recognit., 2022)

Unsupervised feature selection via discrete spectral clustering and feature weights. - Ronghua Shang; Jiarui Kong; Lujuan Wang; Weitong Zhang; Chao Wang 099; Yangyang Li 001; Licheng Jiao (Neurocomputing, 2023)

Non-convex feature selection based on feature correlation representation and dual manifold optimization. - Ronghua Shang; Lizhuo Gao; Haijing Chi; Jiarui Kong; Weitong Zhang; Songhua Xu (Expert Syst. Appl., 2024)

Robust feature selection via central point link information and sparse latent representation. - Jiarui Kong; Ronghua Shang; Weitong Zhang; Chao Wang 099; Songhua Xu (Pattern Recognit., 2024)

Robust multi-view subspace clustering via neighbor embedding on manifold and low-rank representation learning. - Jiarui Kong; Jingya Liu; Ronghua Shang; Weitong Zhang; Songhua Xu; Yangyang Li 001 (Expert Syst. Appl., 2025)