Kuaini Wang

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mean-Variance Minimization Regularized Extreme Learning Machine With Maximum Correntropy Criterion.
J. Comput. Inf. Sci. Eng.
Shufan Lin, Haiwei Fu, Kuaini Wang
2026 J jnl
Non -convex extreme learning machine with L1 over L2 norm regularization and exponential squared loss for sparse and robust regression.
Signal Process.
Mingming Wang, Kuaini Wang
2025 J jnl
Double capped L1-norm extreme learning machine for regression and classification.
J. Frankl. Inst.
Xiaoxue Wang, Kuaini Wang, Jinge Li, Jinde Cao
2025 J jnl
Enhancing robustness and sparsity of extreme learning machine in regression problems using correntropy function.
J. Supercomput.
Yuzhu Jiang, Kuaini Wang, Jinge Li
2024 J jnl
Quadratic hyper-surface kernel-free large margin distribution machine-based regression and its least-square form.
Mach. Learn. Sci. Technol.
Hao He, Kuaini Wang, Yuzhu Jiang, Huimin Pei
2023 J jnl
Elastic-net based robust extreme learning machine for one-class classification.
Signal Process.
Weicheng Zhan, Kuaini Wang, Jinde Cao
2023 J jnl
Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression.
Neural Process. Lett.
Xiaoxue Wang, Kuaini Wang, Yanhong She, Jinde Cao
2020 J jnl
Robust extreme learning machine in the presence of outliers by iterative reweighted algorithm.
Appl. Math. Comput.
Kuaini Wang, Jinde Cao, Huimin Pei
2020 J jnl
Robust regularized extreme learning machine for regression with non-convex loss function via DC program.
J. Frankl. Inst.
Kuaini Wang, Huimin Pei, Jinde Cao, Ping Zhong
2019 J jnl
Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion.
Sci. Program.
Kuaini Wang, Huimin Pei, Xiaoshuai Ding, Ping Zhong
2018 J jnl
A linear support higher order tensor domain description for one-class classification.
J. Intell. Fuzzy Syst.
Yanyan Chen, Kuaini Wang, Ping Zhong
2018 J jnl
Robust semi-supervised extreme learning machine.
Knowl. Based Syst.
Huimin Pei, Kuaini Wang, Qiang Lin, Ping Zhong
2017 J jnl
Semi-supervised matrixized least squares support vector machine.
Appl. Soft Comput.
Huimin Pei, Kuaini Wang, Ping Zhong
2016 J jnl
One-Class Support Tensor Machine.
Knowl. Based Syst.
Yanyan Chen, Kuaini Wang, Ping Zhong
2015 — conf
Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression.
ITITS (1)
Kuaini Wang, Ruiting Zhang, Xujuan Li, Hui Ning
2015 J jnl
Robust Support Vector Regression with Generalized Loss Function and Applications.
Neural Process. Lett.
Kuaini Wang, Wenxin Zhu, Ping Zhong
2014 J jnl
Robust non-convex least squares loss function for regression with outliers.
Knowl. Based Syst.
Kuaini Wang, Ping Zhong