Kuaini Wang

According to our database, Kuaini Wang authored at least 17 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Non -convex extreme learning machine with L1 over L2 norm regularization and exponential squared loss for sparse and robust regression.

Mingming Wang, Kuaini Wang

Signal Process., 2026

Mean-Variance Minimization Regularized Extreme Learning Machine With Maximum Correntropy Criterion.

Shufan Lin, Haiwei Fu, Kuaini Wang

J. Comput. Inf. Sci. Eng., 2026

2025

Enhancing robustness and sparsity of extreme learning machine in regression problems using correntropy function.

Yuzhu Jiang, Kuaini Wang, Jinge Li

J. Supercomput., September, 2025

Double capped L1-norm extreme learning machine for regression and classification.

Xiaoxue Wang, Kuaini Wang, Jinge Li, Jinde Cao

J. Frankl. Inst., 2025

2024

Quadratic hyper-surface kernel-free large margin distribution machine-based regression and its least-square form.

Hao He, Kuaini Wang, Yuzhu Jiang, Huimin Pei

Mach. Learn. Sci. Technol., 2024

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., December, 2023

Elastic-net based robust extreme learning machine for one-class classification.

Weicheng Zhan, Kuaini Wang, Jinde Cao

Signal Process., October, 2023

2020

Robust regularized extreme learning machine for regression with non-convex loss function via DC program.

Kuaini Wang, Huimin Pei, Jinde Cao, Ping Zhong

J. Frankl. Inst., 2020

Robust extreme learning machine in the presence of outliers by iterative reweighted algorithm.

Kuaini Wang, Jinde Cao, Huimin Pei

Appl. Math. Comput., 2020

2019

Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion.

Kuaini Wang, Huimin Pei, Xiaoshuai Ding, Ping Zhong

Sci. Program., 2019

2018

Robust semi-supervised extreme learning machine.

Huimin Pei, Kuaini Wang, Qiang Lin, Ping Zhong

Knowl. Based Syst., 2018

A linear support higher order tensor domain description for one-class classification.

Yanyan Chen, Kuaini Wang, Ping Zhong

J. Intell. Fuzzy Syst., 2018

2017

Semi-supervised matrixized least squares support vector machine.

Huimin Pei, Kuaini Wang, Ping Zhong

Appl. Soft Comput., 2017

2016

One-Class Support Tensor Machine.

Yanyan Chen, Kuaini Wang, Ping Zhong

Knowl. Based Syst., 2016

2015

Robust Support Vector Regression with Generalized Loss Function and Applications.

Kuaini Wang, Wenxin Zhu, Ping Zhong

Neural Process. Lett., 2015

Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression.

Kuaini Wang, Ruiting Zhang, Xujuan Li, Hui Ning

Proceedings of the Information Technology and Intelligent Transportation Systems, 2015

2014

Robust non-convex least squares loss function for regression with outliers.

Kuaini Wang, Ping Zhong

Knowl. Based Syst., 2014