Zhen Wang

发表

Generalization-Memorization Machines

Y. Shao, Zhen Wang, 2022, ArXiv.

Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints

Y. Shao, Lan Bai, Zhen Wang, 2022, IEEE Transactions on Fuzzy Systems.

Proximal parametric-margin support vector classifier and its applications

Y. Shao, Tie-ru Wu, Zhen Wang, 2014, Neural Computing and Applications.

k-Proximal plane clustering

Li-Ming Liu, Zhen Wang, Yan-Ru Guo, 2016, International Journal of Machine Learning and Cybernetics.

Improved Generalized Eigenvalue Proximal Support Vector Machine

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2013, IEEE Signal Processing Letters.

Minimum deviation distribution machine for large scale regression

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2018, Knowl. Based Syst..

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2017, Inf. Sci..

Weighted linear loss twin support vector machine for large-scale classification

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2015, Knowl. Based Syst..

A proximal classifier with positive and negative local regions

Yuan-Hai Shao, Haibin Zhang, Zhen Wang, 2014, Neurocomputing.

A GA-based model selection for smooth twin parametric-margin support vector machine

Yuan-Hai Shao, Zhen Wang, Tie-Ru Wu, 2013, Pattern Recognit..

A regularization for the projection twin support vector machine

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2013, Knowl. Based Syst..

Probabilistic outputs for twin support vector machines

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2012, Knowl. Based Syst..

A general model for plane-based clustering with loss function pdf

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2019, ArXiv.

Weighted Lagrange ε-twin support vector regression

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2016, Neurocomputing.

Ν-projection Twin Support Vector Machine for Pattern Classification

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2020, Neurocomputing.

Information Technology and Quantitative Management , ITQM 2013 Exploring determinants of inflation in China based on L 1-- twin support vector regression

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2013 .

Sparse Lq-norm least squares support vector machine with feature selection

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2018, Pattern Recognit..

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2014, Pattern Recognit..

k-Proximal plane clustering

Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, 2017, Int. J. Mach. Learn. Cybern..

Least squares twin parametric-margin support vector machine for classification

N. Deng, Y. Shao, Wei-Jie Chen, 2013, Applied Intelligence.

A novel feature selection method for twin support vector machine

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2014, Knowl. Based Syst..

Multiple Flat Projections for Cross-Manifold Clustering

N. Deng, Y. Shao, Lan Bai, 2020, IEEE Transactions on Cybernetics.

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2018, ArXiv.

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2020, Appl. Soft Comput..

General Plane-Based Clustering With Distribution Loss

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Twin Support Vector Machine for Clustering

Lan Bai, Yuan-Hai Shao, Zhen Wang, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Robust k-subspace discriminant clustering

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2019, Appl. Soft Comput..

Robust bilateral Lp-norm two-dimensional linear discriminant analysis

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng, 2019, Inf. Sci..

Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2019, Neurocomputing.

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Proximal Classifier via Absolute Value Inequalities

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning

Y. Shao, Lan Bai, Zhen Wang, 2022, Appl. Soft Comput..

Divergent Projection Analysis for Unsupervised Dimensionality Reduction

Y. Shao, Lan Bai, Zhen Wang, 2021, ITQM.

Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding

Lan Bai, Yuan-Hai Shao, Chun-Na Li, 2019, Knowl. Based Syst..

Ramp-based twin support vector clustering

Xu Chen, Zhen Wang, Yuan-Hai Shao, 2018, Neural Computing and Applications.

Least squares twin parametric-margin support vector machine for classification

Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, 2013, Applied Intelligence.

Proximal parametric-margin support vector classifier and its applications

Yuan-Hai Shao, Zhen Wang, Tie-Ru Wu, 2012, Neural Computing and Applications.

Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression

Y. Shao, Lan Bai, Zhen Wang, 2013, ITQM.

Joint sample and feature selection via sparse primal and dual LSSVM

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, 2019, Knowl. Based Syst..

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm

Y. Shao, Chunna Li, Zhen Wang, 2019, Knowl. Based Syst..