Semi-supervised matrixized least squares support vector machine. - Huimin Pei; Kuaini Wang; Ping Zhong 003 (Appl. Soft Comput., 2017)

Laplacian total margin support vector machine based on within-class scatter. - Huimin Pei; Yanyan Chen; Yankun Wu; Ping Zhong 003 (Knowl. Based Syst., 2017)

The aLS-SVM based multi-task learning classifiers. - Liyun Lu; Qiang Lin; Huimin Pei; Ping Zhong 003 (Appl. Intell., 2018)

Robust semi-supervised extreme learning machine. - Huimin Pei; Kuaini Wang; Qiang Lin; Ping Zhong 003 (Knowl. Based Syst., 2018)

Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion. - Kuaini Wang; Huimin Pei; Xiaoshuai Ding; Ping Zhong 003 (Sci. Program., 2019)

Robust extreme learning machine in the presence of outliers by iterative reweighted algorithm. - Kuaini Wang; Jinde Cao; Huimin Pei (Appl. Math. Comput., 2020)

Robust regularized extreme learning machine for regression with non-convex loss function via DC program. - Kuaini Wang; Huimin Pei; Jinde Cao; Ping Zhong 003 (J. Frankl. Inst., 2020)

A novel semi-supervised support vector machine with asymmetric squared loss. - Huimin Pei; Qiang Lin; Liran Yang; Ping Zhong 003 (Adv. Data Anal. Classif., 2021)