Zheng Wang

74 papers A* 6A 1Misc 5Journal 62
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explaining Neural Networks: Hierarchical Backpropagated Ensemble Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guanxiong He, Zheng Wang, Liaoyuan Tang, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie
2026 J jnl
Group-wise attentive enhancements for unsupervised feature selection.
Knowl. Based Syst.
Jie Wang, Yongjin Yuan, Ziang Niu, Lingyi Kong, Zheng Wang, Rong Wang, Feiping Nie
2026 J jnl
Improve noise tolerance of robust feature selection via block-sparse projection learning.
Pattern Recognit.
Jie Wang, Zheng Wang, Yu Guo, Rong Wang, Fei Wang, Feiping Nie
2026 J jnl
Max-Min Robust Unsupervised Feature Selection via Sparse Subspace.
IEEE Trans. Cybern.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Zhensheng Sun, Xuelong Li
2026 A* conf
Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding.
AAAI
Xianglong Jin, Zheng Wang, Rong Wang, Feiping Nie
2026 A* conf
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning.
AAAI
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2026 J jnl
Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels.
Pattern Recognit.
Jie Wang, Ziang Niu, Zheng Wang, Liaoyuan Tang, Bo Yan, Rong Wang, Feiping Nie
2026 A* conf
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.
AAAI
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2025 J jnl
A novel linear discriminant analysis based on alternate ratio sum minimization.
Inf. Sci.
Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie
2025 J jnl
Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Jiaxi Xie, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Data Subdivision Based Dual-Weighted Robust Principal Component Analysis.
IEEE Trans. Image Process.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2025 J jnl
Dynamic T-distributed stochastic neighbor graph convolutional networks for multi-modal contrastive fusion.
Neurocomputing
Bo Xu, Guoxu Li, Jie Wang, Zheng Wang, Jianfu Cao, Rong Wang, Feiping Nie
2025 J jnl
Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach.
IEEE Trans. Circuits Syst. Video Technol.
Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie
2025 J jnl
Fuzzy Weighted Principal Component Analysis for Anomaly Detection.
ACM Trans. Knowl. Discov. Data
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2025 J jnl
Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning.
IEEE Trans. Knowl. Data Eng.
Zihua Zhao, Danyang Wu, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li
2025 A* conf
Language Pre-training Guided Masking Representation Learning for Time Series Classification.
AAAI
Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie
2025 J jnl
Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Jie Wang, Junti Wang, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li
2025 A conf
Point-DMAE: Point Cloud Self-supervised Learning via Density-directed Masked Autoencoders.
CIKM
Xianglong Jin, Zheng Wang, Wenjie Zheng, Feiping Nie
2025 J jnl
Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework.
IEEE Trans. Neural Networks Learn. Syst.
Guanxiong He, Zheng Wang, Liaoyuan Tang, Weizhong Yu, Feiping Nie, Xuelong Li
2025 Misc conf
Self-Supervised Localized Topology Consistency for Noise-Robust Hyperspectral Image Classification.
ICASSP
Jie Wang, Liaoyuan Tang, Guanxiong He, Zhe Cao, Zheng Wang, Rong Wang
2025 J jnl
Toward Balance Adaptive Weighted Ensemble Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Runxin Zhang, Xia Wu, Huimin Chen, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie
2024 J jnl
An Balanced, and Scalable Graph-Based Multiview Clustering Method.
IEEE Trans. Knowl. Data Eng.
Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li
2024 J jnl
Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction.
Pattern Recognit.
Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie
2024 J jnl
Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98].
Neurocomputing
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2024 J jnl
Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association.
Remote. Sens.
Zhenxin He, Guoxu Li, Zheng Wang, Guanxiong He, Hao Yan, Rong Wang
2024 J jnl
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie, Fei Wang
2024 J jnl
Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph.
IEEE Trans. Cybern.
Zheng Wang, Qi Li, Feiping Nie, Rong Wang, Fei Wang, Xuelong Li
2024 J jnl
Geometric-inspired graph-based Incomplete Multi-view Clustering.
Pattern Recognit.
Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu
2024 J jnl
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li
2024 J jnl
Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Dongming Wu, Rong Wang, Feiping Nie, Fei Wang
2024 J jnl
Joint learning of latent subspace and structured graph for multi-view clustering.
Pattern Recognit.
Yinuo Wang, Yu Guo, Zheng Wang, Fei Wang
2024 Misc conf
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning.
ICASSP
Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang
2024 Misc conf
Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints.
ICASSP
Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li
2024 J jnl
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace.
IEEE Trans. Knowl. Data Eng.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2024 A* conf
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection.
IJCAI
Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie
2024 J jnl
Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Yongjin Yuan, Rong Wang, Feiping Nie, Qinghua Huang, Xuelong Li
2024 J jnl
Robust Principal Component Analysis via Joint Reconstruction and Projection.
IEEE Trans. Neural Networks Learn. Syst.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2024 J jnl
Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Hebing Nie, Qi Li, Zheng Wang, Haifeng Zhao, Feiping Nie
2024 J jnl
Sparse Trace Ratio LDA for Supervised Feature Selection.
IEEE Trans. Cybern.
Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li
2024 J jnl
T-distributed Stochastic Neighbor Network for unsupervised representation learning.
Neural Networks
Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu
2024 J jnl
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang
2024 J jnl
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
2023 J jnl
Discrete Robust Principal Component Analysis via Binary Weights Self-Learning.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Sisi Wang, Zheng Wang, Rong Wang, Xuelong Li
2023 J jnl
Fast spectral clustering with self-adapted bipartite graph learning.
Inf. Sci.
Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie
2023 J jnl
Fuzzy C-Multiple-Means Clustering for Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett.
Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie
2023 J jnl
Local Embedding Learning via Landmark-Based Dynamic Connections.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Canyu Zhang, Zheng Wang, Rong Wang, Xuelong Li
2023 J jnl
Max-Min Robust Principal Component Analysis.
Neurocomputing
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2023 J jnl
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis.
IEEE Trans. Multim.
Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Simultaneous local clustering and unsupervised feature selection via strong space constraint.
Pattern Recognit.
Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie
2023 J jnl
Sparse and Flexible Projections for Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng.
Rong Wang, Canyu Zhang, Jintang Bian, Zheng Wang, Feiping Nie, Xuelong Li
2023 J jnl
Sparse robust subspace learning via boolean weight.
Inf. Fusion
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2023 Misc conf
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint.
ICASSP
Yongjin Yuan, Zheng Wang, Feiping Nie, Xuelong Li
2022 J jnl
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges.
CoRR
Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen
2022 J jnl
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2022 J jnl
Capped ℓp-norm linear discriminant analysis for robust projections learning.
Neurocomputing
Zheng Wang, Haojie Hu, Rong Wang, Qianrong Zhang, Feiping Nie, Xuelong Li
2022 J jnl
Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection.
Cogn. Comput.
Haifeng Zhao, Qi Li, Zheng Wang, Feiping Nie
2022 J jnl
Self-weighted learning framework for adaptive locality discriminant analysis.
Pattern Recognit.
Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2022 J jnl
Subspace Sparse Discriminative Feature Selection.
IEEE Trans. Cybern.
Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li
2021 Misc conf
Fast Local Representation Learning with Adaptive Anchor Graph.
ICASSP
Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2021 J jnl
Fast local representation learning via adaptive anchor graph for image retrieval.
Inf. Sci.
Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2021 J jnl
Joint nonlinear feature selection and continuous values regression network.
Pattern Recognit. Lett.
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
2021 J jnl
Local structured feature learning with dynamic maximum entropy graph.
Pattern Recognit.
Zheng Wang, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li
2021 J jnl
Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li
2020 J jnl
Adaptive Local Linear Discriminant Analysis.
ACM Trans. Knowl. Discov. Data
Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li
2020 J jnl
Capped ℓ
IEEE Signal Process. Lett.
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
2020 J jnl
Curriculum Audiovisual Learning.
CoRR
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou
2020 A* conf
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.
IJCAI
Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2020 J jnl
Multiclass discriminant analysis via adaptive weighted scheme.
Neurocomputing
Haifeng Zhao, Bowen Zhang, Zheng Wang, Feiping Nie
2020 J jnl
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph.
IEEE Trans. Cybern.
Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2019 J jnl
A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng.
Haifeng Zhao, Zheng Wang, Feiping Nie
2019 J jnl
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms.
CoRR
Feiping Nie, Hua Wang, Zheng Wang, Heng Huang
2018 J jnl
Adaptive Neighborhood MinMax Projections.
Neurocomputing
Haifeng Zhao, Zheng Wang, Feiping Nie
2018 J jnl
Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin.
Neural Comput.
Haifeng Zhao, Siqi Wang, Zheng Wang
2016 J jnl
Orthogonal least squares regression for feature extraction.
Neurocomputing
Haifeng Zhao, Zheng Wang, Feiping Nie