Robust non-convex least squares loss function for regression with outliers. - Kuaini Wang; Ping Zhong 003 (Knowl. Based Syst., 2014)

Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression. - Kuaini Wang; Ruiting Zhang; Xujuan Li; Hui Ning (ITITS (1), 2015)

Robust Support Vector Regression with Generalized Loss Function and Applications. - Kuaini Wang; Wenxin Zhu; Ping Zhong 003 (Neural Process. Lett., 2015)

One-Class Support Tensor Machine. - Yanyan Chen; Kuaini Wang; Ping Zhong 003 (Knowl. Based Syst., 2016)

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

A linear support higher order tensor domain description for one-class classification. - Yanyan Chen; Kuaini Wang; Ping Zhong 003 (J. Intell. Fuzzy Syst., 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)

Elastic-net based robust extreme learning machine for one-class classification. - Weicheng Zhan; Kuaini Wang; Jinde Cao (Signal Process., 2023)

Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression. - Xiaoxue Wang; Kuaini Wang; Yanhong She; Jinde Cao (Neural Process. Lett., 2023)