Zhen Wang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Discriminant Analysis

Imbalanced Data Classification

Top Venues

Knowl. Based Syst.

Pattern Recognit.

Publications

Zhen Wang, Lan Bai, Yuan-Hai Shao
Generalization Memorization Machine with Zero Empirical Risk for Classification. Pattern Recognit. 152 (2024)
Shuai Wang, Zhen Wang, Yuan-Hai Shao
Least Squares Maximum and Weighted Generalization-Memorization Machines. CoRR (2023)
Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints. IEEE Trans. Fuzzy Syst. 30 (9) (2022)
Zhen Wang, Yuan-Hai Shao
Generalization-Memorization Machines. CoRR (2022)
Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng
Multiple Flat Projections for Cross-Manifold Clustering. IEEE Trans. Cybern. 52 (8) (2022)
Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning. Appl. Soft Comput. 123 (2022)
Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks 142 (2021)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
General Plane-Based Clustering With Distribution Loss. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
Divergent Projection Analysis for Unsupervised Dimensionality Reduction. ITQM (2021)
Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. CoRR (2021)
Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng
-projection twin support vector machine for pattern classification. Neurocomputing 376 (2020)
Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
Multiple Flat Projections for Cross-manifold Clustering. CoRR (2020)
Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Yu-Qing Wang, Ming-Zeng Liu, Zhen Wang
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Appl. Soft Comput. 90 (2020)
Zhen Wang, Xu Chen, Yuan-Hai Shao, Chun-Na Li
Ramp-based twin support vector clustering. Neural Comput. Appl. 32 (14) (2020)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
A general model for plane-based clustering with loss function. CoRR (2019)
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang
Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. Knowl. Based Syst. 183 (2019)
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. 500 (2019)
Chun-Na Li, Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang
Robust k-subspace discriminant clustering. Appl. Soft Comput. 85 (2019)
Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding. Knowl. Based Syst. 163 (2019)
Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao, Yan Xu, Li-Ming Liu, Zhen Wang
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing 337 (2019)
Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu
Joint sample and feature selection via sparse primal and dual LSSVM. Knowl. Based Syst. 185 (2019)
Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng
-norm least squares support vector machine with feature selection. Pattern Recognit. 78 (2018)
Ming-Zeng Liu, Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Wei-Jie Chen
Minimum deviation distribution machine for large scale regression. Knowl. Based Syst. 146 (2018)
Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li
Reversible Discriminant Analysis. IEEE Access 6 (2018)
Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
Ramp-based Twin Support Vector Clustering. CoRR (2018)
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. CoRR (2018)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
Insensitive stochastic gradient twin support vector machines for large scale problems. Inf. Sci. 462 (2018)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. CoRR (2017)
Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao
k-Proximal plane clustering. Int. J. Mach. Learn. Cybern. 8 (5) (2017)
Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
Weighted Lagrange ε-twin support vector regression. Neurocomputing 197 (2016)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
MBLDA: A novel multiple between-class linear discriminant analysis. Inf. Sci. 369 (2016)
Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. ICDM Workshops (2015)
Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng
Weighted linear loss twin support vector machine for large-scale classification. Knowl. Based Syst. 73 (2015)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng
Twin Support Vector Machine for Clustering. IEEE Trans. Neural Networks Learn. Syst. 26 (10) (2015)
Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng
A novel feature selection method for twin support vector machine. Knowl. Based Syst. 59 (2014)
Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
Proximal parametric-margin support vector classifier and its applications. Neural Comput. Appl. 24 (3-4) (2014)
Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng
Proximal Classifier via Absolute Value Inequalities. ICDM Workshops (2014)
Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng
A proximal classifier with positive and negative local regions. Neurocomputing 145 (2014)
Yuan-Hai Shao, Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang, Nai-Yang Deng
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. Pattern Recognit. 47 (9) (2014)
Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng
Weighted Linear Loss Support Vector Machine for Large Scale Problems. ITQM (2014)
Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang
Improved Generalized Eigenvalue Proximal Support Vector Machine. IEEE Signal Process. Lett. 20 (3) (2013)
Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
A GA-based model selection for smooth twin parametric-margin support vector machine. Pattern Recognit. 46 (8) (2013)
Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
A regularization for the projection twin support vector machine. Knowl. Based Syst. 37 (2013)
Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao
Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression. ITQM (2013)
Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
Least squares twin parametric-margin support vector machine for classification. Appl. Intell. 39 (3) (2013)
Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng
Proximal Plane Clustering via Eigenvalues. ITQM (2013)
Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen, Zhen Wang
Probabilistic outputs for twin support vector machines. Knowl. Based Syst. 33 (2012)