Improvements on Twin Support Vector Machines. - Yuan-Hai Shao 001; Chunhua Zhang; Xiao-Bo Wang; Nai-Yang Deng (IEEE Trans. Neural Networks, 2011)

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)

A coordinate descent margin based-twin support vector machine for classification. - Yuan-Hai Shao 001; Nai-Yang Deng (Neural Networks, 2012)

Least squares recursive projection twin support vector machine for classification. - Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Min Yang (Pattern Recognit., 2012)

Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Ya-Fen Ye (ITQM, 2013)

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

The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Wen-Biao Huang; Zhi-Min Yang; Nai-Yang Deng (ITQM, 2013)

Feature Selection Based On Linear Twin Support Vector Machines. - Zhi-Min Yang; Jun-Yun He; Yuan-Hai Shao 001 (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)

Ensemble learning for generalised eigenvalues proximal support vector machines. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Yibo Jiang; Chongpu Xia (Int. J. Comput. Appl. Technol., 2013)

A proximal classifier with consistency. - Yuan-Hai Shao 001; Nai-Yang Deng; Wei-Jie Chen 001 (Knowl. Based Syst., 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 novel margin-based twin support vector machine with unity norm hyperplanes. - Yuan-Hai Shao 001; Nai-Yang Deng (Neural Comput. Appl., 2013)

An ε-twin support vector machine for regression. - Yuan-Hai Shao 001; Chunhua Zhang; Zhi-Min Yang; Ling Jing; Nai-Yang Deng (Neural Comput. Appl., 2013)

Multiple birth support vector machine for multi-class classification. - Zhi-Xia Yang; Yuan-Hai Shao 001; Xiang-Sun Zhang (Neural Comput. Appl., 2013)

Mixed-norm linear support vector machine. - Chunhua Zhang; Yuan-Hai Shao 001; Junyan Tan; Naiyang Deng (Neural Comput. Appl., 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)

Manifold proximal support vector machine for semi-supervised classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Deng-Ke Xu; Yongfeng Fu (Appl. Intell., 2014)

Laplacian least squares twin support vector machine for semi-supervised classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Lin Feng (Neurocomputing, 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)

Nonparallel hyperplane support vector machine for binary classification problems. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Nai-Yang Deng (Inf. Sci., 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)

Laplacian smooth twin support vector machine for semi-supervised classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Ning Hong (Int. J. Mach. Learn. Cybern., 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)

A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression. - Xiang-Yu Hua; Zhi-Min Yang; Ya-Fen Ye; Yuan-Hai Shao 001 (ITQM, 2015)

Combined outputs framework for twin support vector machines. - Yuan-Hai Shao 001; Xiang-Yu Hua; Li-Ming Liu; Zhi-Min Yang; Nai-Yang Deng (Appl. Intell., 2015)

Laplacian unit-hyperplane learning from positive and unlabeled examples. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Li-Ming Liu; Nai-Yang Deng (Inf. Sci., 2015)

Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression. - Ya-Fen Ye; Yue-Xiang Jiang; Yuan-Hai Shao 001; Chun-Na Li 001 (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Wavelet Lp-Norm Support Vector Regression with Feature Selection. - Ya-Fen Ye; Yuan-Hai Shao 001; Chun-Na Li 001 (J. Adv. Comput. Intell. Intell. Informatics, 2015)

The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense. - Yuan-Hai Shao 001; Nai-Yang Deng (J. Optim. Theory Appl., 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)

Local k-proximal plane clustering. - Zhi-Min Yang; Yan-Ru Guo; Chun-Na Li 001; Yuan-Hai Shao 001 (Neural Comput. Appl., 2015)

Robust L1-norm two-dimensional linear discriminant analysis. - Chun-Na Li 001; Yuan-Hai Shao 001; Nai-Yang Deng (Neural Networks, 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)

Extensive semi-quantitative regression. - Yuan-Hai Shao 001; Ya-Fen Ye; Yong-Cui Wang; Nai-Yang Deng (Neurocomputing, 2016)

One norm linear programming support vector regression. - Muhammad Tanveer 001; Mohit Mangal; Izhar Ahmad; Yuan-Hai Shao 001 (Neurocomputing, 2016)

A novel parametric-insensitive nonparallel support vector machine for regression. - Zhi-Min Yang; Xiang-Yu Hua; Yuan-Hai Shao 001; Ya-Fen Ye (Neurocomputing, 2016)

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)

Multiple recursive projection twin support vector machine for multi-class classification. - Chun-Na Li 001; Yun-Feng Huang; He-Ji Wu; Yuan-Hai Shao 001; Zhi-Min Yang (Int. J. Mach. Learn. Cybern., 2016)

Least squares recursive projection twin support vector machine for multi-class classification. - Zhi-Min Yang; He-Ji Wu; Chun-Na Li 001; Yuan-Hai Shao 001 (Int. J. Mach. Learn. Cybern., 2016)

MLTSVM: A novel twin support vector machine to multi-label learning. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Nai-Yang Deng (Pattern Recognit., 2016)

Alternating Direction Method of Multipliers for L1- and L2-norm Best Fitting Hyperplane Classifier. - Chen Wang; Chun-Na Li 001; Hua-Xin Pei; Yan-Ru Guo; Yuan-Hai Shao 001 (ICCS, 2017)

D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation. - Hua-Xin Pei; Zeng-Rong Zheng; Chen Wang; Chun-Na Li 001; Yuan-Hai Shao 001 (ITQM, 2017)

Robust Lp-norm least squares support vector regression with feature selection. - Ya-Fen Ye; Yuan-Hai Shao 001; Nai-Yang Deng; Chun-Na Li 001; Xiang-Yu Hua (Appl. Math. Comput., 2017)

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)

Robust and Sparse LP-Norm Support Vector Regression. - Ya-Fen Ye; Chao Ying; Yuan-Hai Shao 001; Chun-Na Li 001; Yu-Juan Chen (J. Adv. Comput. Intell. Intell. Informatics, 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)

Robust recursive absolute value inequalities discriminant analysis with sparseness. - Chun-Na Li 001; Zeng-Rong Zheng; Ming-Zeng Liu; Yuan-Hai Shao 001; Wei-Jie Chen 001 (Neural Networks, 2017)

Large Margin Proximal Non-parallel Support Vector Classifiers. - Mingzeng Liu; Yuanhai Shao 001 (ICCS (3), 2018)

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

Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization. - Xiao-Quan Sun; Yi-Jian Chen; Yuan-Hai Shao 001; Chun-Na Li 001; Changhui Wang (IEEE Access, 2018)

Generalized two-dimensional linear discriminant analysis with regularization. - Chun-Na Li 001; Yuan-Hai Shao 001; Wei-Jie Chen 001; Nai-Yang Deng (CoRR, 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)

Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. - Wei-Jie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001; Ju Zhang 004; Nai-Yang Deng (Neurocomputing, 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)

Progressive iterative approximation for regularized least square bivariate B-spline surface fitting. - Mingzeng Liu; Baojun Li; Qingjie Guo; Chungang Zhu; Ping Hu; Yuanhai Shao 001 (J. Comput. Appl. Math., 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)

A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification. - Wei-Jie Chen 001; Kai-Li Yang; Yuan-Hai Shao 001; Yu-Juan Chen; Ju Zhang 004; Jing-Jing Yao (IEEE Access, 2019)

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)

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)

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)

Support Vector Machine Classifier via L0/1 Soft-Margin Loss. - Huajun Wang; Yuan-Hai Shao 001; Shenglong Zhou 001; Ce Zhang; Naihua Xiu (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)

2DRLPP: Robust two-dimensional locality preserving projection with regularization. - Wei-Jie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001; Ju Zhang 004; Nai-Yang Deng (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)

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)

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)

Principal Component Analysis Based on T𝓁1-norm Maximization. - Xiang-Fei Yang; Yuan-Hai Shao 001; Chun-Na Li 001; Li-Ming Liu; Nai-Yang Deng (CoRR, 2020)

Capped norm linear discriminant analysis and its applications. - Jiakou Liu; Xiong Xiong; Pei-Wei Ren; Da Zhao; Chun-Na Li 001; Yuan-Hai Shao 001 (CoRR, 2020)

Generalized elastic net Lp-norm nonparallel support vector machine. - Chun-Na Li 001; Pei-Wei Ren; Yuan-Hai Shao 001; Ya-Fen Ye; Yan-Ru Guo (Eng. Appl. Artif. Intell., 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)

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. - Chun-Na Li 001; Yuan-Hai Shao 001; Wotao Yin; Ming-Zeng Liu (IEEE Trans. Neural Networks Learn. Syst., 2020)

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

Local density peaks clustering with small size distance matrix. - Meng-Xian Zhu; Xiao-Jing Lv; Weijie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001 (ITQM, 2021)

MPMSVC: Multiple Parametric-Margin Support Vector Clustering. - Yibo Jiang; Wei-Jie Chen 001; Yu-Qing Wang; Ming-Chuan Zhang; Yuan-Hai Shao 001 (IEEE Access, 2021)

Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. - Xiang-Fei Yang; Wensi Wang; Liming Liu; Yuan-Hai Shao 001; Liting Zhang; Naiyang Deng (IEEE Access, 2021)

Smooth pinball loss nonparallel support vector machine for robust classification. - Ming-Zeng Liu; Yuan-Hai Shao 001; Chun-Na Li 001; Wei-Jie Chen 001 (Appl. Soft Comput., 2021)

Online support vector quantile regression for the dynamic time series with heavy-tailed noise. - Ya-Fen Ye; Yuan-Hai Shao 001; Chunna Li 001; Xiang-Yu Hua; Yan-Ru Guo (Appl. Soft Comput., 2021)

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

Comprehensive Review On Twin Support Vector Machines. - Mohammad Tanveer 001; Taniya Rajani; Reshma Rastogi; Yuan-Hai Shao 001 (CoRR, 2021)

Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification. - Yan-Ru Guo; Yan-Qin Bai; Chun-Na Li 001; Yuan-Hai Shao 001; Ya-Fen Ye; Cheng-zi Jiang (Eng. Appl. Artif. Intell., 2021)

Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition. - Chun-Na Li 001; Yi-Fan Qi; Yuan-Hai Shao 001; Yan-Ru Guo; Ya-Fen Ye (Eng. Appl. Artif. Intell., 2021)

Feature selection for high-dimensional regression via sparse LSSVR based on Lp-norm. - Chun-Na Li 001; Yuan-Hai Shao 001; Da Zhao; Yan-Ru Guo; Xiang-Yu Hua (Int. J. Intell. Syst., 2021)

A Multiclass Nonparallel Parametric-Margin Support Vector Machine. - Shu-Wang Du; Ming-Chuan Zhang; Pei Chen; Hui-Feng Sun; Weijie Chen 001; Yuan-Hai Shao 001 (Inf., 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)

Fast support vector classifier with generalization-memorization kernel. - Wenwen Guo; Lv Yan; Jia-Yu Yin; Wang Zhen; Yuan-Hai Shao 001 (ITQM, 2022)

An Majorize-Minimize algorithm framework for large scale truncated loss classifiers. - Xiaofang Li; Lingwei Huang; Yuanhai Shao 001 (ITQM, 2022)

Learning using rebalanced statistical invariants for imbalanced classification. - Zhen-Qi Liu; Yuan-Hai Shao 001 (ITQM, 2022)

Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. - Yan-Ru Guo; Yan-Qin Bai; Chun-Na Li 001; Lan Bai; Yuan-Hai Shao 001 (Appl. Intell., 2022)

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)

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)

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

Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics. - Jinsheng Yang; Yuan-Hai Shao 001; Chun-Na Li 001; Wensi Wang (CoRR, 2022)

Robust multi-view discriminant analysis with view-consistency. - Xiang-Fei Yang; Chun-Na Li 001; Yuan-Hai Shao 001 (Inf. Sci., 2022)

A Stochastic Nesterov's Smoothing Accelerated Method for General Nonsmooth Constrained Stochastic Composite Convex Optimization. - Ruyu Wang; Chao Zhang 056; Lichun Wang; Yuanhai Shao 001 (J. Sci. Comput., 2022)

Proximal operator and optimality conditions for ramp loss SVM. - Huajun Wang; Yuan-Hai Shao 001; Naihua Xiu (Optim. Lett., 2022)

Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. - Huajun Wang; Yuan-Hai Shao 001; Shenglong Zhou 001; Ce Zhang; Naihua Xiu (IEEE Trans. Pattern Anal. Mach. Intell., 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)

L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. - Chun-Na Li 001; Yi Li; Yanhui Meng; Pei-Wei Ren; Yuan-Hai Shao 001 (IEEE Access, 2023)

CNTS: Cooperative Network for Time Series. - Jinsheng Yang; Yuan-Hai Shao 001; Chun-Na Li 001 (IEEE Access, 2023)

Classification by Estimating the Cumulative Distribution Function for Small Data. - Meng-Xian Zhu; Yuan-Hai Shao 001 (IEEE Access, 2023)

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

Fast truncated Huber loss SVM for large scale classification. - Huajun Wang; Yuanhai Shao 001 (Knowl. Based Syst., 2023)

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)

Locally finite distance clustering with discriminative information. - Yi-Fan Qi; Yuan-Hai Shao 001; Chun-Na Li 001; Yan-Ru Guo (Inf. Sci., 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)

Capped norm linear discriminant analysis and its applications. - Jiakou Liu; Xiong Xiong; Pei-Wei Ren; Chun-Na Li 001; Yuan-Hai Shao 001 (Appl. Intell., 2023)

Sparse and robust SVM classifier for large scale classification. - Huajun Wang; Yuanhai Shao 001 (Appl. Intell., 2023)

A multistage deep imputation framework for missing values large segment imputation with statistical metrics. - Jinsheng Yang; Yuan-Hai Shao 001; Chunna Li 001; Wensi Wang (Appl. Soft Comput., 2023)

Creating Universum for class imbalance via locality and its application in multiview subspace learning. - Xiang-Fei Yang; Dong-Lin Wang; Jia-Hang Pan; Chun-Na Li 001; Yuan-Hai Shao 001 (Inf. Sci., 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)

A novel regularization method for decorrelation learning of non-parallel hyperplanes. - Wenze Shao; Yuan-Hai Shao 001; Chun-Na Li 001 (Inf. Sci., 2024)

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

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

Optimization-based adversarial perturbations against twin support vector machines. - Wenjie Wang; Yuanhai Shao 001; Yiju Wang (Comput. Secur., 2024)

DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data. - Faxing Yu; Chunna Li 001; Yuanhai Shao 001 (Eng. Appl. Artif. Intell., 2024)

A new fast ADMM for kernelless SVM classifier with truncated fraction loss. - Huajun Wang; Weijun Zhou; Yuan-Hai Shao 001 (Knowl. Based Syst., 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)

Fast generalized ramp loss support vector machine for pattern classification. - Huajun Wang; Yuanhai Shao 001 (Pattern Recognit., 2024)

Twin support vector quantile regression. - Yafen Ye; Zhihu Xu; Jinhua Zhang; Weijie Chen 001; Yuanhai Shao 001 (Expert Syst. Appl., 2024)

Learning using granularity statistical invariants for classification. - Ting-Ting Zhu; Chun-Na Li 001; Tian Liu; Yuan-Hai Shao 001 (Appl. Intell., 2024)

Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting. - Chun-Na Li 001; Yi Li; Yuan-Hai Shao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Recursive universum linear discriminant analysis. - Chun-Na Li 001; Jiakou Liu; Yanhui Meng; Yuan-Hai Shao 001 (Optim. Lett., 2024)

Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification. - Huajun Wang; Zhibin Zhu; Yuanhai Shao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Regularized linear discriminant analysis based on generalized capped l2,q-norm. - Chun-Na Li 001; Pei-Wei Ren; Yan-Ru Guo; Ya-Fen Ye; Yuan-Hai Shao 001 (Ann. Oper. Res., 2024)

Comprehensive review on twin support vector machines. - M. Tanveer 001; Taniya Rajani; Reshma Rastogi; Yuan-Hai Shao 001; M. A. Ganaie 001 (Ann. Oper. Res., 2024)

Sparse and robust alternating direction method of multipliers for large-scale classification learning. - Huajun Wang; Wenqian Li; Yuanhai Shao 001; Hongwei Zhang (Neurocomputing, 2025)

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

Learning using statistical invariants with privileged information. - Xueqin Yan; Chun-Na Li 001; Yuan-Hai Shao 001; Yanhui Meng (Inf. Sci., 2025)

Distribution Metric Based $V$-Matrix Support Vector Machine. - Yiwei Song; Yuan-Hai Shao 001; Chun-Na Li 001 (IEEE Signal Process. Lett., 2025)

Group feature selection using non-class data. - Chunna Li 001; Yuangang Pan; Weijie Chen 001; Ivor W. Tsang; Yuanhai Shao 001 (Mach. Learn., 2025)

MIEL: Enhancing Long- and Ultra-Long-Term Time-Series Forecasting With Multiscale Input and Ensemble Linear Networks. - Jinsheng Yang; Zeng-Rong Zheng; Chun-Na Li 001; Yichen Li; Jie Song; Yuan-Hai Shao 001 (IEEE Internet Things J., 2025)

Domain Adaptation via Learning Using Statistical Invariant. - Chun-Na Li 001; Yiwei Song; Yuan-Hai Shao 001 (IEEE Trans. Knowl. Data Eng., 2025)