Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems. - Lin Sun 002; Tengyu Yin; Weiping Ding 001; Jiucheng Xu (IEEE Access, 2019)

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems. - Lin Sun 002; Tengyu Yin; Weiping Ding 001; Yuhua Qian; Jiucheng Xu (Inf. Sci., 2020)

Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy. - Lin Sun 002; Tengyu Yin; Weiping Ding 001; Yuhua Qian; Jiucheng Xu (IEEE Trans. Fuzzy Syst., 2022)

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Tianrui Li 001; Keyu Liu (Inf. Sci., 2023)

Robust feature selection using label enhancement and β-precision fuzzy rough sets for multilabel fuzzy decision system. - Tengyu Yin; Hongmei Chen 001; Tianrui Li 001; Zhong Yuan; Chuan Luo 001 (Fuzzy Sets Syst., 2023)

Robust multi-label feature selection with shared coupled and dynamic graph regularization. - Lingzhi Wang; Hongmei Chen 001; Bo Peng 006; Tianrui Li 001; Tengyu Yin (Appl. Intell., 2023)

Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning. - Weiyi Li; Hongmei Chen 001; Tianrui Li 001; Tengyu Yin; Chuan Luo 001 (Int. J. Mach. Learn. Cybern., 2023)

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Jihong Wan; Keyu Liu; Shi-Jinn Horng; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2023)

LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Binbin Sang; Shi-Jinn Horng; Tianrui Li 001; Chuan Luo 001 (Eng. Appl. Artif. Intell., 2024)

Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer's disease. - Yu Luo; Hongmei Chen 001; Tengyu Yin; Shi-Jinn Horng; Tianrui Li 001 (Inf. Fusion, 2024)

Adaptive orthogonal semi-supervised feature selection with reliable label matrix learning. - Huming Liao; Hongmei Chen 001; Tengyu Yin; Shi-Jinn Horng; Tianrui Li 001 (Inf. Process. Manag., 2024)

Adaptive label secondary reconstruction for missing multi-label learning. - Zhi Qin; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2024)

Unsupervised feature selection based on bipartite graph and low-redundant regularization. - Longyan Xiang; Hongmei Chen 001; Tengyu Yin; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2024)

Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures. - Tengyu Yin; Hongmei Chen 001; Zhihong Wang; Keyu Liu; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2024)

Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space. - Tengyu Yin; Hongmei Chen 001; Jihong Wan; Pengfei Zhang 016; Shi-Jinn Horng; Tianrui Li 001 (Inf. Fusion, 2024)

Graph diffusion with dual-distance metrics for missing multi-label feature selection. - Zhi Qin; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Expert Syst. Appl., 2025)

Adaptive structure learning for semi-supervised feature selection with binary single-label learning. - Huming Liao; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Inf. Sci., 2025)

Joint discriminant projection with cosine weighted dynamic graph regularization for feature extraction. - Weijia Tang; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Inf. Sci., 2025)

Consistency and inconsistency guided multi-view subspace clustering based on low-rank tensor and comprehensive similarity. - Yutong Yan; Hongmei Chen 001; Tengyu Yin; Yong Mi; Shi-Jinn Horng; Tianrui Li 001 (Knowl. Based Syst., 2025)

A general adaptive unsupervised feature selection with auto-weighting. - Huming Liao; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Shi-Jinn Horng; Tianrui Li 001 (Neural Networks, 2025)

Fuzzy-Rough Bireducts With Supervised Multiscale Granulation. - Zhihong Wang; Hongmei Chen 001; Huming Liao; Tengyu Yin; Biao Xiang; Shi-Jinn Horng; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2025)

Star: semi-supervised tripartite attribute reduction. - Keyu Liu; Damo Qian; Tianrui Li 001; Xibei Yang; Tengyu Yin; Xin Yang 012; Dun Liu (Int. J. Mach. Learn. Cybern., 2025)

Multiview feature selection combining latent space and similarity structure learning. - Zhuowen Li; Hongmei Chen 001; Tengyu Yin; Zhong Yuan; Chuan Luo 001; Shi-Jinn Horng; Tianrui Li 001 (Pattern Recognit., 2026)