Zheng Wang

Orcid: 0000-0002-4814-1115

Affiliations:

Northwestern Polytechnical University, School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an, China

According to our database¹, Zheng Wang authored at least 54 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

Data Subdivision Based Dual-Weighted Robust Principal Component Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

A novel linear discriminant analysis based on alternate ratio sum minimization.

[BibT_eX]

[DOI]

Inf. Sci., 2025

2024

Graph Joint Representation Clustering via Penalized Graph Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

An Balanced, and Scalable Graph-Based Multiview Clustering Method.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., August, 2024

Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Robust Principal Component Analysis via Joint Reconstruction and Projection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Sparse Trace Ratio LDA for Supervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., April, 2024

Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2024

Geometric-inspired graph-based Incomplete Multi-view Clustering.

[BibT_eX]

[DOI]

Pattern Recognit., March, 2024

Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Joint learning of latent subspace and structured graph for multi-view clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

T-distributed Stochastic Neighbor Network for unsupervised representation learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98].

[BibT_eX]

[DOI]

Neurocomputing, 2024

Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-View Subspace Clustering With Consensus Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Local Embedding Learning via Landmark-Based Dynamic Connections.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Discrete Robust Principal Component Analysis via Binary Weights Self-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Simultaneous local clustering and unsupervised feature selection via strong space constraint.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Fast spectral clustering with self-adapted bipartite graph learning.

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

Sparse robust subspace learning via boolean weight.

[BibT_eX]

[DOI]

Inf. Fusion, August, 2023

Sparse and Flexible Projections for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Fuzzy C-Multiple-Means Clustering for Hyperspectral Image.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

Max-Min Robust Principal Component Analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Subspace Sparse Discriminative Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Self-weighted learning framework for adaptive locality discriminant analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Capped ℓp-norm linear discriminant analysis for robust projections learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges.

[BibT_eX]

[DOI]

CoRR, 2022

Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Cogn. Comput., 2022

2021

Joint nonlinear feature selection and continuous values regression network.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Local structured feature learning with dynamic maximum entropy graph.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Fast local representation learning via adaptive anchor graph for image retrieval.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Fast Local Representation Learning with Adaptive Anchor Graph.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Adaptive Local Linear Discriminant Analysis.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Capped ℓ<sub>p</sub>-Norm LDA for Outliers Robust Dimension Reduction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Multiclass discriminant analysis via adaptive weighted scheme.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Curriculum Audiovisual Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction.

[BibT_eX]

[DOI]

Haifeng Zhao

Zheng Wang

Feiping Nie

IEEE Trans. Knowl. Data Eng., 2019

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin.

[BibT_eX]

[DOI]

Haifeng Zhao

Siqi Wang

Zheng Wang

Neural Comput., 2018

Adaptive Neighborhood MinMax Projections.

[BibT_eX]

[DOI]

Haifeng Zhao

Zheng Wang

Feiping Nie

Neurocomputing, 2018

2016

Orthogonal least squares regression for feature extraction.

[BibT_eX]

[DOI]

Haifeng Zhao

Zheng Wang

Feiping Nie

Neurocomputing, 2016

Zheng Wang

Timeline

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