Zhen Wang

Orcid: 0000-0002-3282-8588

Affiliations:

Inner Monggolia University, School of Mathematical Sciences, Hohhot, China
Jilin University, College of Mathematics, Changchun, China (PhD 2014)

According to our database¹, Zhen Wang authored at least 44 papers between 2012 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Least Squares Maximum and Weighted Generalization-Memorization Machines.

[BibT_eX]

[DOI]

Shuai Wang

Zhen Wang

Yuan-Hai Shao

CoRR, 2023

2022

Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Multiple Flat Projections for Cross-Manifold Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Generalization-Memorization Machines.

[BibT_eX]

[DOI]

Zhen Wang

Yuan-Hai Shao

CoRR, 2022

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

2021

General Plane-Based Clustering With Distribution Loss.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Generalized two-dimensional linear discriminant analysis with regularization.

[BibT_eX]

[DOI]

Neural Networks, 2021

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints.

[BibT_eX]

[DOI]

CoRR, 2021

Divergent Projection Analysis for Unsupervised Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020

Ramp-based twin support vector clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

ν-projection twin support vector machine for pattern classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

2019

Joint sample and feature selection via sparse primal and dual LSSVM.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Robust bilateral Lp-norm two-dimensional linear discriminant analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2019

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

[BibT_eX]

[DOI]

Neurocomputing, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Robust k-subspace discriminant clustering.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

2018

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

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Minimum deviation distribution machine for large scale regression.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Insensitive stochastic gradient twin support vector machines for large scale problems.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm.

[BibT_eX]

[DOI]

CoRR, 2018

Reversible Discriminant Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

k-Proximal plane clustering.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2017

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.

[BibT_eX]

[DOI]

CoRR, 2017

2016

MBLDA: A novel multiple between-class linear discriminant analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Weighted Lagrange ε-twin support vector regression.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Twin Support Vector Machine for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

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

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Proximal parametric-margin support vector classifier and its applications.

[BibT_eX]

[DOI]

Zhen Wang

Yuan-Hai Shao

Tie-Ru Wu

Neural Comput. Appl., 2014

A novel feature selection method for twin support vector machine.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

A proximal classifier with positive and negative local regions.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Weighted Linear Loss Support Vector Machine for Large Scale Problems.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Proximal Classifier via Absolute Value Inequalities.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Improved Generalized Eigenvalue Proximal Support Vector Machine.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

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

[BibT_eX]

[DOI]

Zhen Wang

Yuan-Hai Shao

Tie-Ru Wu

Pattern Recognit., 2013

A regularization for the projection twin support vector machine.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

Least squares twin parametric-margin support vector machine for classification.

[BibT_eX]

[DOI]

Appl. Intell., 2013

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

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Proximal Plane Clustering via Eigenvalues.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2012

Probabilistic outputs for twin support vector machines.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Zhen Wang

Timeline

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