Feature Selection for Multi-Label Learning Based on F-Neighborhood Rough Sets. - Zhixuan Deng; Zhonglong Zheng; Dayong Deng; Tianxiang Wang; Yiran He; Dawei Zhang 002 (IEEE Access, 2020)

Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy. - Zhixuan Deng; Tianrui Li 001; Dayong Deng; Keyu Liu; Pengfei Zhang 016; Shiming Zhang; Zhipeng Luo (Inf. Sci., 2022)

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Zhixuan Deng; Guoqiang Wang; Dexian Wang 001; Fan Zhang 108 (IEEE Trans. Fuzzy Syst., 2023)

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hongmei Chen 001; Jie Wang 152; Zhixuan Deng (IEEE Trans. Fuzzy Syst., 2023)

Operonome: the concept and application in bacterial systems biology. - Leting Sun; Zhixuan Deng; Yejun Wang (BCB, 2024)

Feature selection based on probability and mathematical expectation. - Zhixuan Deng; Tianrui Li 001; Keyu Liu; Pengfei Zhang 016; Dayong Deng (Int. J. Mach. Learn. Cybern., 2024)

Feature Selection for Handling Label Ambiguity Using Weighted Label-Fuzzy Relevancy and Redundancy. - Zhixuan Deng; Tianrui Li 001; Dayong Deng; Keyu Liu; Zhipeng Luo; Pengfei Zhang 016 (IEEE Trans. Fuzzy Syst., 2024)

Dynamic Feature Selection Based on F-fuzzy Rough Set for Label Distribution Learning. - Dayong Deng; Tong Chen; Zhixuan Deng; Keyu Liu; Pengfei Zhang 016 (Int. J. Fuzzy Syst., 2024)

Feature selection for label distribution learning based on neighborhood fuzzy rough sets. - Zhixuan Deng; Tianrui Li 001; Pengfei Zhang 016; Keyu Liu; Zhong Yuan; Dayong Deng (Appl. Soft Comput., 2025)

Feature selection based on fuzzy joint entropy and feature interaction for label distribution learning. - Dayong Deng; Jie Xu; Zhixuan Deng; Jihong Wan; Deyou Xia; Zhenxin Cao; Tianrui Li 001 (Inf. Process. Manag., 2025)

Outlier detection based on multiple information extraction. - Dayong Deng; Tong Chen; Zhixuan Deng; Tianrui Li 001; Pengfei Zhang 016 (Inf. Sci., 2025)

Rough set interpretation to RBF neural network. - Dayong Deng; Jie Wang; Zhixuan Deng; Keyu Liu; Pengfei Zhang (Int. J. Mach. Learn. Cybern., 2025)