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Kuaini Wang

Observed name: Kuaini Wang -
ORCID: 0000-0002-3166-0365
Observed ORCID: 0000-0002-3166-0365
OpenAlex ID: A5016560008
Robust non-convex least squares loss function for regression with outliers
2014 · Kuaini Wang, Ping Zhong · Knowledge-Based Systems · 71
One-Class Support Tensor Machine
2016 · Yanyan Chen, Kuaini Wang, et al. · Knowledge-Based Systems · 46
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Robust semi-supervised extreme learning machine
2018 · Huimin Pei, Kuaini Wang, et al. · Knowledge-Based Systems · 35
Robust Support Vector Regression with Generalized Loss Function and Applications
2013 · Kuaini Wang, Wenxin Zhu, et al. · Neural Processing Letters · 33
Robust extreme learning machine in the presence of outliers by iterative reweighted algorithm
2020 · Kuaini Wang, Jinde Cao, et al. · Applied Mathematics and Computation · 29
Robust regularized extreme learning machine for regression with non-convex loss function via DC program
2020 · Kuaini Wang, Huimin Pei, et al. · Journal of the Franklin Institute · 22
Elastic-net based robust extreme learning machine for one-class classification
2023 · Weicheng Zhan, Kuaini Wang, et al. · Signal Processing · 14
Application of Least Squares Support Vector Regression Based on Time Series in Prediction of Gas
2011 · Yaohong Zhao -, Ping Zhong -, et al. · Journal of Convergence Information Technology · 14
Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion
2019 · Kuaini Wang, Huimin Pei, et al. · Scientific Programming · 11
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Semi-supervised matrixized least squares support vector machine
2017 · Huimin Pei, Kuaini Wang, et al. · Applied Soft Computing · 8
Least Squares Fuzzy One-class Support Vector Machine for Imbalanced Data
2015 · Jingjing Zhang, Kuaini Wang, et al. · International Journal of Signal Processing Image Processing and Pattern Recognition · 8
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Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression
2023 · Xiaoxue Wang, Kuaini Wang, et al. · Neural Processing Letters · 7
Enhancing robustness and sparsity of extreme learning machine in regression problems using correntropy function
2025 · Yuzhu Jiang, Kuaini Wang, et al. · The Journal of Supercomputing · 4
Least Absolute Deviation Support Vector Regression
2014 · Kuaini Wang, Jingjing Zhang, et al. · Mathematical Problems in Engineering · 4
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Non -convex extreme learning machine with L1 over L2 norm regularization and exponential squared loss for sparse and robust regression
2026 · Mingming Wang, Kuaini Wang · Signal Processing · 3
Pinball loss based extreme learning machines
2019 · Kuaini Wang, Xiaoshuai Ding · IOP Conference Series Materials Science and Engineering · 3
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Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression
2016 · Kuaini Wang, Ruiting Zhang, et al. · Advances in intelligent systems and computing · 3
Robust Support Vector Regression with Flexible Loss Function
2014 · Kuaini Wang, Ping Zhong · International Journal of Signal Processing Image Processing and Pattern Recognition · 3
Improving Support Vector Classification by Learning Group Information Hidden in the Data
2014 · Wenxin Zhu, Kuaini Wang, et al. · ICIC express letters. Part B, Applications · 3
Double capped L1-norm extreme learning machine for regression and classification
2025 · Xiaoxue Wang, Kuaini Wang, et al. · Journal of the Franklin Institute · 2
Robust Extreme Learning Machine with Exponential Squared Loss via DC Programming
2023 · Kuaini Wang, Xiaoxue Wang, et al. · International Journal of Advanced Computer Science and Applications · 2
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A linear support higher order tensor domain description for one-class classification
2018 · Yanyan Chen, Kuaini Wang, et al. · Journal of Intelligent & Fuzzy Systems · 2
Privacy-Preserving One-Class Support Vector Machine with Vertically Partitioned Data
2016 · Qiang Lin, Huimin Pei, et al. · International Journal of Multimedia and Ubiquitous Engineering · 2
Quadratic hyper-surface kernel-free large margin distribution machine-based regression and its least-square form
2024 · Hao He, Kuaini Wang, et al. · Machine Learning Science and Technology · 1
Robust Extreme Learning Machine Based on p-order Laplace Kernel-Induced Loss Function
2024 · Liutao Luo, Kuaini Wang, et al. · International Journal of Advanced Computer Science and Applications · 1
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Works count: 29
Citation count: 332
H-index: 9
I10-index: 9
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