Zheng Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Bipartite Graph

Robust Principal Component Analysis

Dimensionality Reduction

Discriminant Analysis

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Knowl. Data Eng.

Publications

Zheng Wang, Dongming Wu, Rong Wang, Feiping Nie, Fei Wang
Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li
Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Trans. Cybern. 54 (4) (2024)
Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu
T-distributed Stochastic Neighbor Network for unsupervised representation learning. Neural Networks 179 (2024)
Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu
Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognit. 147 (2024)
Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li
Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints. ICASSP (2024)
Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning. ICASSP (2024)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Robust Principal Component Analysis via Joint Reconstruction and Projection. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98]. Neurocomputing 601 (2024)
Zheng Wang, Qi Li, Feiping Nie, Rong Wang, Fei Wang, Xuelong Li
Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph. IEEE Trans. Cybern. 54 (8) (2024)
Feiping Nie, Canyu Zhang, Zheng Wang, Rong Wang, Xuelong Li
Local Embedding Learning via Landmark-Based Dynamic Connections. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Sparse robust subspace learning via boolean weight. Inf. Fusion 96 (2023)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Max-Min Robust Principal Component Analysis. Neurocomputing 521 (2023)
Feiping Nie, Sisi Wang, Zheng Wang, Rong Wang, Xuelong Li
Discrete Robust Principal Component Analysis via Binary Weights Self-Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie
Fuzzy C-Multiple-Means Clustering for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. IEEE Trans. Multim. 25 (2023)
Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie
Fast spectral clustering with self-adapted bipartite graph learning. Inf. Sci. 644 (2023)
Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie
Simultaneous local clustering and unsupervised feature selection via strong space constraint. Pattern Recognit. 142 (2023)
Rong Wang, Canyu Zhang, Jintang Bian, Zheng Wang, Feiping Nie, Xuelong Li
Sparse and Flexible Projections for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Self-weighted learning framework for adaptive locality discriminant analysis. Pattern Recognit. 129 (2022)
Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li
Subspace Sparse Discriminative Feature Selection. IEEE Trans. Cybern. 52 (6) (2022)
Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges. CoRR (2022)
Haifeng Zhao, Qi Li, Zheng Wang, Feiping Nie
Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection. Cogn. Comput. 14 (3) (2022)
Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Fast Local Representation Learning with Adaptive Anchor Graph. ICASSP (2021)
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
Joint nonlinear feature selection and continuous values regression network. Pattern Recognit. Lett. 150 (2021)
Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li
Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Zheng Wang, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li
Local structured feature learning with dynamic maximum entropy graph. Pattern Recognit. 111 (2021)
Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. IJCAI (2020)
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
-Norm LDA for Outliers Robust Dimension Reduction. IEEE Signal Process. Lett. 27 (2020)
Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li
Adaptive Local Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data 14 (1) (2020)
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou
Curriculum Audiovisual Learning. CoRR (2020)
Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph. IEEE Trans. Cybern. 50 (8) (2020)
Haifeng Zhao, Bowen Zhang, Zheng Wang, Feiping Nie
Multiclass discriminant analysis via adaptive weighted scheme. Neurocomputing 381 (2020)
Feiping Nie, Hua Wang, Zheng Wang, Heng Huang
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR (2019)
Haifeng Zhao, Zheng Wang, Feiping Nie
A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Haifeng Zhao, Zheng Wang, Feiping Nie
Adaptive Neighborhood MinMax Projections. Neurocomputing 313 (2018)
Haifeng Zhao, Siqi Wang, Zheng Wang
Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin. Neural Comput. 30 (10) (2018)
Haifeng Zhao, Zheng Wang, Feiping Nie
Orthogonal least squares regression for feature extraction. Neurocomputing 216 (2016)