Zhen Wang

47 papers Journal 41Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Generalization Memorization Machine with Zero Empirical Risk for Classification.
Pattern Recognit.
Zhen Wang, Lan Bai, Yuan-Hai Shao
2024 J jnl
Handling Imbalanced Classification Problems by Weighted Generalization Memorization Machine.
Appl. Artif. Intell.
Chen Dou, Yan Lv, Zhen Wang, Lan Bai
2023 J jnl
Least Squares Maximum and Weighted Generalization-Memorization Machines.
CoRR
Shuai Wang, Zhen Wang, Yuan-Hai Shao
2022 J jnl
Generalization-Memorization Machines.
CoRR
Zhen Wang, Yuan-Hai Shao
2022 J jnl
Multiple Flat Projections for Cross-Manifold Clustering.
IEEE Trans. Cybern.
Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng
2022 J jnl
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning.
Appl. Soft Comput.
Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2022 J jnl
Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints.
IEEE Trans. Fuzzy Syst.
Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
2021 — conf
Divergent Projection Analysis for Unsupervised Dimensionality Reduction.
ITQM
Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2021 J jnl
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints.
CoRR
Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao
2021 J jnl
General Plane-Based Clustering With Distribution Loss.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2021 J jnl
Generalized two-dimensional linear discriminant analysis with regularization.
Neural Networks
Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
2020 J jnl
Multiple Flat Projections for Cross-manifold Clustering.
CoRR
Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
2020 J jnl
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm.
Appl. Soft Comput.
Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Yu-Qing Wang, Ming-Zeng Liu, Zhen Wang
2020 J jnl
Ramp-based twin support vector clustering.
Neural Comput. Appl.
Zhen Wang, Xu Chen, Yuan-Hai Shao, Chun-Na Li
2019 J jnl
A general model for plane-based clustering with loss function.
CoRR
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2019 J jnl
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding.
Knowl. Based Syst.
Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li
2019 J jnl
Joint sample and feature selection via sparse primal and dual LSSVM.
Knowl. Based Syst.
Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu
2019 J jnl
Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.
Knowl. Based Syst.
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang
2019 J jnl
Robust bilateral Lp-norm two-dimensional linear discriminant analysis.
Inf. Sci.
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2019 J jnl
Robust k-subspace discriminant clustering.
Appl. Soft Comput.
Chun-Na Li, Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang
2019 J jnl
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization.
Neurocomputing
Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao, Yan Xu, Li-Ming Liu, Zhen Wang
2018 J jnl
Insensitive stochastic gradient twin support vector machines for large scale problems.
Inf. Sci.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2018 J jnl
Minimum deviation distribution machine for large scale regression.
Knowl. Based Syst.
Ming-Zeng Liu, Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Wei-Jie Chen
2018 J jnl
Ramp-based Twin Support Vector Clustering.
CoRR
Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
2018 J jnl
Reversible Discriminant Analysis.
IEEE Access
Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li
2018 J jnl
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm.
CoRR
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2018 J jnl
Sparse
Pattern Recognit.
Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng
2017 J jnl
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.
CoRR
Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
2017 J jnl
k-Proximal plane clustering.
Int. J. Mach. Learn. Cybern.
Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao
2016 J jnl
MBLDA: A novel multiple between-class linear discriminant analysis.
Inf. Sci.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2016 J jnl
Weighted Lagrange ε-twin support vector regression.
Neurocomputing
Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2015 — conf
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.
ICDM Workshops
Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng
2015 J jnl
Twin Support Vector Machine for Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng
2015 J jnl
Weighted linear loss twin support vector machine for large-scale classification.
Knowl. Based Syst.
Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng
2014 J jnl
A novel feature selection method for twin support vector machine.
Knowl. Based Syst.
Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng
2014 J jnl
A proximal classifier with positive and negative local regions.
Neurocomputing
Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng
2014 J jnl
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification.
Pattern Recognit.
Yuan-Hai Shao, Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang, Nai-Yang Deng
2014 — conf
Proximal Classifier via Absolute Value Inequalities.
ICDM Workshops
Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng
2014 J jnl
Proximal parametric-margin support vector classifier and its applications.
Neural Comput. Appl.
Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
2014 — conf
Weighted Linear Loss Support Vector Machine for Large Scale Problems.
ITQM
Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng
2013 J jnl
A GA-based model selection for smooth twin parametric-margin support vector machine.
Pattern Recognit.
Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
2013 J jnl
A regularization for the projection twin support vector machine.
Knowl. Based Syst.
Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
2013 — conf
Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression.
ITQM
Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao
2013 J jnl
Improved Generalized Eigenvalue Proximal Support Vector Machine.
IEEE Signal Process. Lett.
Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang
2013 J jnl
Least squares twin parametric-margin support vector machine for classification.
Appl. Intell.
Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
2013 — conf
Proximal Plane Clustering via Eigenvalues.
ITQM
Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng
2012 J jnl
Probabilistic outputs for twin support vector machines.
Knowl. Based Syst.
Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen, Zhen Wang