Orthogonal least squares regression for feature extraction. - Haifeng Zhao 001; Zheng Wang 037; Feiping Nie 001 (Neurocomputing, 2016)

Adaptive Neighborhood MinMax Projections. - Haifeng Zhao 001; Zheng Wang 037; Feiping Nie 001 (Neurocomputing, 2018)

Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin. - Haifeng Zhao 001; Siqi Wang; Zheng Wang 037 (Neural Comput., 2018)

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. - Feiping Nie 001; Hua Wang 007; Zheng Wang 037; Heng Huang (CoRR, 2019)

A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction. - Haifeng Zhao 001; Zheng Wang 037; Feiping Nie 001 (IEEE Trans. Knowl. Data Eng., 2019)

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. - Zheng Wang 037; Feiping Nie 001; Lai Tian; Rong Wang 001; Xuelong Li 001 (IJCAI, 2020)

Curriculum Audiovisual Learning. - Di Hu 001; Zheng Wang 037; Haoyi Xiong; Dong Wang 028; Feiping Nie 001; Dejing Dou (CoRR, 2020)

Multiclass discriminant analysis via adaptive weighted scheme. - Haifeng Zhao 001; Bowen Zhang; Zheng Wang 037; Feiping Nie 001 (Neurocomputing, 2020)

Capped ℓp-Norm LDA for Outliers Robust Dimension Reduction. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang; Rong Wang 001; Xuelong Li 001 (IEEE Signal Process. Lett., 2020)

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2020)

Adaptive Local Linear Discriminant Analysis. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Zhen Wang 004; Xuelong Li 001 (ACM Trans. Knowl. Discov. Data, 2020)

Fast Local Representation Learning with Adaptive Anchor Graph. - Canyu Zhang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (ICASSP, 2021)

Fast local representation learning via adaptive anchor graph for image retrieval. - Canyu Zhang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2021)

Towards Robust Discriminative Projections Learning via Non-Greedy $ ell _{2, 1}$ℓ2, 1-Norm MinMax. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Zhen Wang 004; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Local structured feature learning with dynamic maximum entropy graph. - Zheng Wang 037; Feiping Nie 001; Rong Wang 001; Hui Yang 005; Xuelong Li 001 (Pattern Recognit., 2021)

Joint nonlinear feature selection and continuous values regression network. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang; Rong Wang 001; Xuelong Li 001 (Pattern Recognit. Lett., 2021)

Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection. - Haifeng Zhao 001; Qi Li; Zheng Wang 037; Feiping Nie 001 (Cogn. Comput., 2022)

A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges. - Junyun Cui; Xiaoyu Shen; Feiping Nie 001; Zheng Wang 037; Jinglong Wang; Yulong Chen (CoRR, 2022)

Capped ℓp-norm linear discriminant analysis for robust projections learning. - Zheng Wang 037; Haojie Hu; Rong Wang 001; Qianrong Zhang; Feiping Nie 001; Xuelong Li 001 (Neurocomputing, 2022)

Self-weighted learning framework for adaptive locality discriminant analysis. - Wei Chang 002; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

Subspace Sparse Discriminative Feature Selection. - Feiping Nie 001; Zheng Wang 037; Lai Tian; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2022)

Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint. - Yongjin Yuan; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2023)

Max-Min Robust Principal Component Analysis. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2023)

Fuzzy C-Multiple-Means Clustering for Hyperspectral Image. - Xiaojun Yang; Mingjun Zhu; Bo Sun; Zheng Wang 037; Feiping Nie 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. - Di Hu 001; Zheng Wang 037; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Multim., 2023)

Sparse and Flexible Projections for Unsupervised Feature Selection. - Rong Wang 001; Canyu Zhang; Jintang Bian; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Sparse robust subspace learning via boolean weight. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Inf. Fusion, 2023)

Fast spectral clustering with self-adapted bipartite graph learning. - Xiaojun Yang; Mingjun Zhu; Yongda Cai; Zheng Wang 037; Feiping Nie 001 (Inf. Sci., 2023)

Simultaneous local clustering and unsupervised feature selection via strong space constraint. - Zheng Wang 037; Qi Li; Haifeng Zhao 001; Feiping Nie 001 (Pattern Recognit., 2023)

Discrete Robust Principal Component Analysis via Binary Weights Self-Learning. - Feiping Nie 001; Sisi Wang; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Local Embedding Learning via Landmark-Based Dynamic Connections. - Feiping Nie 001; Canyu Zhang; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints. - Jie Wang 024; Zheng Wang 037; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2024)

Multi-View Subspace Clustering With Consensus Graph Contrastive Learning. - Jie Zhang; Yuan Sun; Yu Guo 006; Zheng Wang 037; Feiping Nie 001; Fei Wang 008 (ICASSP, 2024)

Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. - Liaoyuan Tang; Zheng Wang 037; Guanxiong He; Rong Wang 001; Feiping Nie 001 (IJCAI, 2024)

Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98]. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2024)

T-distributed Stochastic Neighbor Network for unsupervised representation learning. - Zheng Wang 037; Jiaxi Xie; Feiping Nie 001; Rong Wang 001; Yanyan Jia; Shichang Liu (Neural Networks, 2024)

Joint learning of latent subspace and structured graph for multi-view clustering. - Yinuo Wang; Yu Guo 006; Zheng Wang 037; Fei Wang 008 (Pattern Recognit., 2024)

Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association. - Zhenxin He; Guoxu Li; Zheng Wang 037; Guanxiong He; Hao Yan; Rong Wang 001 (Remote. Sens., 2024)

Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction. - Quan Wang; Fei Wang 008; Zhongheng Li; Zheng Wang 037; Feiping Nie 001 (Pattern Recognit., 2024)

Geometric-inspired graph-based Incomplete Multi-view Clustering. - Zequn Yang; Han Zhang 012; Yake Wei; Zheng Wang 037; Feiping Nie 001; Di Hu 001 (Pattern Recognit., 2024)

Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Sparse Trace Ratio LDA for Supervised Feature Selection. - Zhengxin Li; Feiping Nie 001; Danyang Wu; Zheng Wang 037; Xuelong Li 001 (IEEE Trans. Cybern., 2024)

Robust Principal Component Analysis via Joint Reconstruction and Projection. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection. - Zheng Wang 037; Dongming Wu; Rong Wang 001; Feiping Nie 001; Fei Wang 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph. - Zheng Wang 037; Qi Li; Feiping Nie 001; Rong Wang 001; Fei Wang 008; Xuelong Li 001 (IEEE Trans. Cybern., 2024)

Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection. - Yu Guo 006; Yuan Sun; Zheng Wang 037; Feiping Nie 001; Fei Wang 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Balanced, and Scalable Graph-Based Multiview Clustering Method. - Zihua Zhao; Feiping Nie 001; Rong Wang 001; Zheng Wang 037; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding. - Hebing Nie; Qi Li; Zheng Wang 037; Haifeng Zhao 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. - Zheng Wang 037; Feiping Nie 001; Hua Wang 007; Heng Huang; Fei Wang 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection. - Zheng Wang 037; Yongjin Yuan; Rong Wang 001; Feiping Nie 001; Qinghua Huang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph Joint Representation Clustering via Penalized Graph Contrastive Learning. - Zihua Zhao; Rong Wang 001; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Language Pre-training Guided Masking Representation Learning for Time Series Classification. - Liaoyuan Tang; Zheng Wang 037; Jie Wang 024; Guanxiong He; Zhezheng Hao; Rong Wang 001; Feiping Nie 001 (AAAI, 2025)

Dynamic T-distributed stochastic neighbor graph convolutional networks for multi-modal contrastive fusion. - Bo Xu; Guoxu Li; Jie Wang 024; Zheng Wang 037; Jianfu Cao; Rong Wang 001; Feiping Nie 001 (Neurocomputing, 2025)

A novel linear discriminant analysis based on alternate ratio sum minimization. - Xiaojun Yang; Chuanjie Cao; Keyi Zhou; Siyuan Peng; Zheng Wang 037; Liang Lin; Feiping Nie 001 (Inf. Sci., 2025)

Data Subdivision Based Dual-Weighted Robust Principal Component Analysis. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Image Process., 2025)

Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. - Zihua Zhao; Zhe Cao; Haonan Xin; Rong Wang 001; Danyang Wu; Zheng Wang 037; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Fuzzy Weighted Principal Component Analysis for Anomaly Detection. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (ACM Trans. Knowl. Discov. Data, 2025)

Toward Balance Adaptive Weighted Ensemble Clustering. - Runxin Zhang; Xia Wu 001; Huimin Chen; Guanxiong He; Zheng Wang 037; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework. - Guanxiong He; Zheng Wang 037; Liaoyuan Tang; Weizhong Yu; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning. - Zheng Wang 037; Jiaxi Xie; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning. - Zihua Zhao; Danyang Wu; Rong Wang 001; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Improve noise tolerance of robust feature selection via block-sparse projection learning. - Jie Wang 024; Zheng Wang 037; Yu Guo 006; Rong Wang 001; Fei Wang 008; Feiping Nie 001 (Pattern Recognit., 2026)