Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification. - Ling-Wei Huang; Yuan-Hai Shao 001; Jun Zhang 054; Yu-Ting Zhao; Jia-Ying Teng (IEEE Access, 2019)

Single Versus Union: Non-parallel Support Vector Machine Frameworks. - Chun-Na Li 001; Yuan-Hai Shao 001; Huajun Wang; Yu-Ting Zhao; Ling-Wei Huang; Naihua Xiu; Nai-Yang Deng (CoRR, 2019)

Joint sample and feature selection via sparse primal and dual LSSVM. - Yuan-Hai Shao 001; Chun-Na Li 001; Ling-Wei Huang; Zhen Wang 002; Nai-Yang Deng; Yan Xu (Knowl. Based Syst., 2019)

Can the Exchange Rate Be Used to Predict the Shanghai Composite Index? - Jun Zhang 054; Yuan-Hai Shao 001; Ling-Wei Huang; Jia-Ying Teng; Yu-Ting Zhao; Zhu-Kai Yang; Xin-Yang Li (IEEE Access, 2020)

Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss. - Ju Liu; Ling-Wei Huang; Yuan-Hai Shao 001; Wei-Jie Chen 001; Chun-Na Li 001 (CoRR, 2022)

Union nonparallel support vector machines framework with consistency. - Chun-Na Li 001; Yuan-Hai Shao 001; Huajun Wang; Ling-Wei Huang; Yu-Ting Zhao; Naihua Xiu; Nai-Yang Deng (Appl. Soft Comput., 2023)

Twin SVM for conditional probability estimation in binary and multiclass classification. - Yuan-Hai Shao 001; Xiao-Jing Lv; Ling-Wei Huang; Lan Bai (Pattern Recognit., 2023)

Large-scale robust regression with truncated loss via majorization-minimization algorithm. - Ling-Wei Huang; Yuan-Hai Shao 001; Xiao-Jing Lv; Chun-Na Li 001 (Eur. J. Oper. Res., 2024)

Feature selection by Universum embedding. - Chun-Na Li 001; Ling-Wei Huang; Yuan-Hai Shao 001; Tingting Guo; Yu Mao (Pattern Recognit., 2024)

A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. - Ju Liu; Ling-Wei Huang; Yuan-Hai Shao 001; Wei-Jie Chen 001; Chun-Na Li 001 (J. Comput. Appl. Math., 2024)

Geometric relative margin machine for heterogeneous distribution and imbalanced classification. - Xiao-Jing Lv; Ling-Wei Huang; Yuan-Hai Shao 001 (Inf. Sci., 2025)