Probabilistic outputs for twin support vector machines. - Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Min Yang; Wei-Jie Chen 001; Zhen Wang 002 (Knowl. Based Syst., 2012)

Proximal Plane Clustering via Eigenvalues. - Yuan-Hai Shao 001; Lan Bai; Zhen Wang 002; Xiang-Yu Hua; Nai-Yang Deng (ITQM, 2013)

Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression. - Ya-Fen Ye; Hui Cao; Lan Bai; Zhen Wang 002; Yuan-Hai Shao 001 (ITQM, 2013)

Least squares twin parametric-margin support vector machine for classification. - Yuan-Hai Shao 001; Zhen Wang 002; Wei-Jie Chen 001; Nai-Yang Deng (Appl. Intell., 2013)

A regularization for the projection twin support vector machine. - Yuan-Hai Shao 001; Zhen Wang 002; Wei-Jie Chen 001; Nai-Yang Deng (Knowl. Based Syst., 2013)

A GA-based model selection for smooth twin parametric-margin support vector machine. - Zhen Wang 002; Yuan-Hai Shao 001; Tie-Ru Wu (Pattern Recognit., 2013)

Improved Generalized Eigenvalue Proximal Support Vector Machine. - Yuan-Hai Shao 001; Nai-Yang Deng; Wei-Jie Chen 001; Zhen Wang 002 (IEEE Signal Process. Lett., 2013)

Proximal Classifier via Absolute Value Inequalities. - Yuan-Hai Shao 001; Chun-Na Li 001; Zhen Wang 002; Ming-Zeng Liu; Nai-Yang Deng (ICDM Workshops, 2014)

Weighted Linear Loss Support Vector Machine for Large Scale Problems. - Yuan-Hai Shao 001; Zhen Wang 002; Zhi-Min Yang; Nai-Yang Deng (ITQM, 2014)

A proximal classifier with positive and negative local regions. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Haibin Zhang; Nai-Yang Deng (Neurocomputing, 2014)

A novel feature selection method for twin support vector machine. - Lan Bai; Zhen Wang 002; Yuan-Hai Shao 001; Nai-Yang Deng (Knowl. Based Syst., 2014)

Proximal parametric-margin support vector classifier and its applications. - Zhen Wang 002; Yuan-Hai Shao 001; Tie-Ru Wu (Neural Comput. Appl., 2014)

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Jing-Jing Zhang; Zhen Wang 002; Nai-Yang Deng (Pattern Recognit., 2014)

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. - Yuan-Hai Shao 001; Zhen Wang 002; Chun-Na Li 001; Nai-Yang Deng (ICDM Workshops, 2015)

Weighted linear loss twin support vector machine for large-scale classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Chun-Na Li 001; Nai-Yang Deng (Knowl. Based Syst., 2015)

Twin Support Vector Machine for Clustering. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Nai-Yang Deng (IEEE Trans. Neural Networks Learn. Syst., 2015)

Weighted Lagrange ε-twin support vector regression. - Ya-Fen Ye; Lan Bai; Xiang-Yu Hua; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng (Neurocomputing, 2016)

MBLDA: A novel multiple between-class linear discriminant analysis. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Chun-Na Li 001; Li-Ming Liu; Nai-Yang Deng (Inf. Sci., 2016)

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Li-Ming Liu; Nai-Yang Deng (CoRR, 2017)

k-Proximal plane clustering. - Li-Ming Liu; Yan-Ru Guo; Zhen Wang 002; Zhi-Min Yang; Yuan-Hai Shao 001 (Int. J. Mach. Learn. Cybern., 2017)

Reversible Discriminant Analysis. - Lan Bai; Zhen Wang 002; Yuan-Hai Shao 001; Chun-Na Li 001 (IEEE Access, 2018)

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. - Chun-Na Li 001; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng (CoRR, 2018)

Insensitive stochastic gradient twin support vector machines for large scale problems. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Chun-Na Li 001; Li-Ming Liu; Nai-Yang Deng (Inf. Sci., 2018)

Minimum deviation distribution machine for large scale regression. - Ming-Zeng Liu; Yuan-Hai Shao 001; Zhen Wang 002; Chun-Na Li 001; Wei-Jie Chen 001 (Knowl. Based Syst., 2018)

Sparse Lq-norm least squares support vector machine with feature selection. - Yuan-Hai Shao 001; Chun-Na Li 001; Ming-Zeng Liu; Zhen Wang 002; Nai-Yang Deng (Pattern Recognit., 2018)

Robust k-subspace discriminant clustering. - Chun-Na Li 001; Yuan-Hai Shao 001; Yan-Ru Guo; Zhen Wang 002; Zhi-Min Yang (Appl. Soft Comput., 2019)

A general model for plane-based clustering with loss function. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Chun-Na Li 001; Li-Ming Liu (CoRR, 2019)

Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. - Chun-Na Li 001; Meng-Qi Shang; Yuan-Hai Shao 001; Yan Xu; Li-Ming Liu; Zhen Wang 002 (Neurocomputing, 2019)

Robust bilateral Lp-norm two-dimensional linear discriminant analysis. - Chun-Na Li 001; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng (Inf. Sci., 2019)

Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding. - Lan Bai; Yuan-Hai Shao 001; Zhen Wang 002; Chun-Na Li 001 (Knowl. Based Syst., 2019)

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. - Chun-Na Li 001; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng; Zhi-Min Yang (Knowl. Based Syst., 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)

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Yu-Qing Wang; Ming-Zeng Liu; Zhen Wang 002 (Appl. Soft Comput., 2020)

ν-projection twin support vector machine for pattern classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Ming-Zeng Liu; Zhen Wang 002; Nai-Yang Deng (Neurocomputing, 2020)

Ramp-based twin support vector clustering. - Zhen Wang 002; Xu Chen; Yuan-Hai Shao 001; Chun-Na Li 001 (Neural Comput. Appl., 2020)

Divergent Projection Analysis for Unsupervised Dimensionality Reduction. - Shanshan Wang; Lan Bai; Xu Chen; Zhen Wang 002; Yuan-Hai Shao 001 (ITQM, 2021)

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. - Zhen Wang 002; Shan-Shan Wang; Lan Bai; Wensi Wang; Yuan-Hai Shao 001 (CoRR, 2021)

Generalized two-dimensional linear discriminant analysis with regularization. - Chun-Na Li 001; Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Nai-Yang Deng (Neural Networks, 2021)

General Plane-Based Clustering With Distribution Loss. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Chun-Na Li 001; Li-Ming Liu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning. - Lan Bai; Xu Chen; Zhen Wang 002; Yuan-Hai Shao 001 (Appl. Soft Comput., 2022)

Generalization-Memorization Machines. - Zhen Wang 002; Yuan-Hai Shao 001 (CoRR, 2022)

Multiple Flat Projections for Cross-Manifold Clustering. - Lan Bai; Yuan-Hai Shao 001; Zhen Wang 002; Weijie Chen 001; Nai-Yang Deng (IEEE Trans. Cybern., 2022)

Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints. - Zhen Wang 002; Shan-Shan Wang; Lan Bai; Wen-Si Wang; Yuan-Hai Shao 001 (IEEE Trans. Fuzzy Syst., 2022)

Least Squares Maximum and Weighted Generalization-Memorization Machines. - Shuai Wang; Zhen Wang 002; Yuan-Hai Shao 001 (CoRR, 2023)

Generalization Memorization Machine with Zero Empirical Risk for Classification. - Zhen Wang 002; Lan Bai; Yuan-Hai Shao 001 (Pattern Recognit., 2024)

Handling Imbalanced Classification Problems by Weighted Generalization Memorization Machine. - Chen Dou; Yan Lv; Zhen Wang 002; Lan Bai (Appl. Artif. Intell., 2024)