Rong Wang

258 papers A* 19A 4B 1Misc 14Journal 219Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Approximate anchor-based similarity graph and its applications for large-scale data.
Neurocomputing
Wei Chang, Manguo Liu, Feiping Nie, Danyang Wu, Rong Wang
2026 J jnl
Clustering Based on Density Propagation and Subcluster Merging.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Yitao Song, Qilong Qiu, Jingjing Xue, Rong Wang, Xuelong Li
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
Fast multi-view clustering via tensor hyperbolic tangent-p norm minimization.
Pattern Recognit.
Yongbo Yu, Zhoumin Lu, Jingjing Xue, Rong Wang, Zongcheng Miao, 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 A* conf
Learning Intrinsic Hierarchy for Generalized Category Discovery.
AAAI
Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang, Quanxue Gao
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 J jnl
Multi-view Clustering based on Doubly Stochastic Graph.
Signal Process.
Nian Wang, Zhigao Cui, Aihua Li, Rong Wang, Feiping Nie
2026 J jnl
Multi-view clustering via contrastive approach.
Signal Process.
Bo Yan, Haonan Xin, Zihua Zhao, Jiacong Xiao, Rong Wang
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 J jnl
Self-paced and structured graph-based ensemble clustering.
Signal Process.
Haoliang Tang, Xuan Zheng, Yihang Lu, Zihua Zhao, 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 Revised Formation of Trace Ratio LDA for Small Sample Size Problem.
IEEE Trans. Neural Networks Learn. Syst.
Zhengxin Li, Feiping Nie, Rong Wang, Xuelong Li
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
Adaptive fast local discriminant analysis with whitening transform.
Neural Networks
Hong Chen, Feiping Nie, Yingcang Ma, Rong Wang
2025 J jnl
Anchor Guided Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Canyu Zhang, Feiping Nie, Rong Wang
2025 J jnl
Anchor-based fast spectral ensemble clustering.
Inf. Fusion
Runxin Zhang, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li
2025 A* conf
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering.
IJCAI
Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang
2025 Misc conf
Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning.
ICASSP
Zhe Cao, Haonan Xin, Zihua Zhao, Jie Wang, Rong Wang
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 Misc conf
Dimensionality-Reduced Spatial Bipartite Graph Clustering for Hyperspectral and LiDAR Data.
ICASSP
Zhe Cao, Haonan Xin, Bo Yan, Jinping Sui, Rong Wang
2025 J jnl
Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy.
CoRR
Guanzhou Lan, Yuqi Yang, Anup Teejo Mathew, Feiping Nie, Rong Wang, Xuelong Li, Federico Renda, Bin Zhao
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
Fast Multiview Semi-Supervised Classification With Optimal Bipartite Graph.
IEEE Trans. Neural Networks Learn. Syst.
Yuting Wang, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li
2025 J jnl
Fast multi-view clustering via anchor label transmit with tensor structure constraint.
Expert Syst. Appl.
Huimin Chen, Runxin Zhang, Yu Duan, Rong Wang, Feiping Nie
2025 J jnl
Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs.
IEEE Trans. Fuzzy Syst.
Zihua Zhao, Xinyi Hui, Huimin Chen, Ting Wang, Rong Wang, Feiping Nie
2025 J jnl
Fuzzy Min-Cut With Soft Balancing Effects.
IEEE Trans. Fuzzy Syst.
Huimin Chen, Runxin Zhang, Rong 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 — conf
High-Order Anchor Graph-Based Clustering for Efficient Structured Proximity Matrix Learning.
ADMA (4)
Zihua Zhao, Yuyu Jia, Huimin Chen, Fangyuan Xie, Ziming Li, Rong Wang
2025 J jnl
Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery.
IEEE Trans. Neural Networks Learn. Syst.
Yu Duan, Feiping Nie, Huimin Chen, Zhanxuan Hu, Rong Wang, Xuelong Li
2025 J jnl
Joint Structured Bipartite Graph and Row-Sparse Projection for Large-Scale Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Xia Dong, Feiping Nie, Danyang Wu, Rong Wang, 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 J jnl
Multi-order graph based clustering via dynamical low rank tensor approximation.
Neurocomputing
Nian Wang, Zhigao Cui, Aihua Li, Yuanliang Xue, Rong Wang, Feiping Nie
2025 J jnl
Multi-view clustering via high-order bipartite graph fusion.
Inf. Fusion
Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie
2025 J jnl
Multiview Clustering via Block Diagonal Graph Filtering.
IEEE Trans. Neural Networks Learn. Syst.
Haonan Xin, Danyang Wu, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Mutual-support generalized category discovery.
Inf. Fusion
Yu Duan, Zhanxuan Hu, Rong Wang, Zhensheng Sun, Feiping Nie, Xuelong Li
2025 J jnl
Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Han Liu, Rong Wang, Xuelong Li
2025 J jnl
Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline.
Neural Networks
Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie
2025 J jnl
Robust support vector ordinal regression.
Inf. Sci.
Haorui Xiang, Zhichang Wu, Rong Wang, 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
Simplifying Scalable Subspace Clustering and Its Multi-View Extension by Anchor-to-Sample Kernel.
IEEE Trans. Image Process.
Zhoumin Lu, Feiping Nie, Linru Ma, Rong Wang, Xuelong Li
2025 J jnl
Soft Neighbors Supported Contrastive Clustering.
IEEE Trans. Image Process.
Yu Duan, Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Structured Doubly Stochastic Graph-Based Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Nian Wang, Zhigao Cui, Aihua Li, Yihang Lu, Rong Wang, Feiping Nie
2025 J jnl
Structured Graph-Based Ensemble Clustering.
IEEE Trans. Knowl. Data Eng.
Xuan Zheng, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens.
Zhe Cao, Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Mathieu Sebilo
2025 J jnl
Tensorized Graph Learning for Spectral Ensemble Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Zhe Cao, Yihang Lu, Jinghui Yuan, Haonan Xin, Rong Wang, Feiping Nie
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
2025 J jnl
Toward Balance Deep Semisupervised Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Yu Duan, Zhoumin Lu, Rong Wang, Xuelong Li, Feiping Nie
2025 J jnl
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.
CoRR
Guanxiong He, Jie Wang, Liaoyuan Tang, Zhen Wang, Rong Wang, Feiping Nie
2025 J jnl
Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Runxin Zhang, Yu Duan, Rong Wang
2025 J jnl
Unsupervised Discriminative Feature Selection With $\ell _{2,0}$ℓ2,0-Norm Constrained Sparse Projection.
IEEE Trans. Pattern Anal. Mach. Intell.
Xia Dong, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2024 J jnl
A Greedy Strategy for Graph Cut.
CoRR
Feiping Nie, Shenfei Pei, Zengwei Zheng, Rong Wang, Xuelong Li
2024 J jnl
A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
2024 J jnl
A Novel and Effective Method to Directly Solve Spectral Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li
2024 J jnl
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method.
CoRR
Jinghui Yuan, Weijin Jiang, Zhe Cao, Fangyuan Xie, Rong Wang, Feiping Nie, Yuan Yuan
2024 J jnl
Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering.
IEEE Trans. Signal Process.
Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, 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
Bidirectional Attentive Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li
2024 J jnl
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Danyang Wu, Xia Dong, Jianfu Cao, Rong Wang, Feiping Nie, Xuelong Li
2024 J jnl
Clustering Based on Density Propagation and Subcluster Merging.
CoRR
Feiping Nie, Yitao Song, Jingjing Xue, Rong Wang, Xuelong Li
2024 J jnl
Co-Clustering by Directly Solving Bipartite Spectral Graph Partitioning.
IEEE Trans. Cybern.
Jingjing Xue, Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li
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
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping.
CoRR
Jinghui Yuan, Chusheng Zeng, Fangyuan Xie, Zhe Cao, Mulin Chen, Rong Wang, Feiping Nie, Yuan Yuan
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
Ensemble Clustering With Attentional Representation.
IEEE Trans. Knowl. Data Eng.
Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Fast Clustering by Directly Solving Bipartite Graph Clustering Problem.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Jingjing Xue, Rong Wang, Liang Zhang, Xuelong Li
2024 J jnl
Fast Clustering via Maximizing Adaptively Within-Class Similarity.
IEEE Trans. Neural Networks Learn. Syst.
Jingjing Xue, Feiping Nie, Rong Wang, Liang Zhang, Xuelong Li
2024 J jnl
Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving.
IEEE Trans. Neural Networks Learn. Syst.
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Fast Multiview Clustering by Optimal Graph Mining.
IEEE Trans. Neural Networks Learn. Syst.
Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method.
CoRR
Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li
2024 J jnl
Fuzzy Clustering From Subset-Clustering to Fullset-Membership.
IEEE Trans. Fuzzy Syst.
Huimin Chen, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
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
Harmonic cut: An efficient and directly solved balanced graph clustering.
Neurocomputing
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Hyperspherical Prototype Node Clustering.
Trans. Mach. Learn. Res.
Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, 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
Local sparse discriminative feature selection.
Inf. Sci.
Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang
2024 A* conf
Multi-Class Support Vector Machine with Maximizing Minimum Margin.
AAAI
Feiping Nie, Zhezheng Hao, Rong Wang
2024 J jnl
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance.
CoRR
Chusheng Zeng, Bocheng Wang, Jinghui Yuan, Rong Wang, Mulin Chen
2024 J jnl
Multi-View and Multi-Order Structured Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Rong Wang, Penglei Wang, Danyang Wu, Zhensheng Sun, Feiping Nie, Xuelong Li
2024 J jnl
Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm.
Inf. Fusion
Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie
2024 J jnl
New approach for learning structured graph with Laplacian rank constraint.
Neurocomputing
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
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
Prediction consistency regularization for Generalized Category Discovery.
Inf. Fusion
Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, 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 Capped lp-Norm Support Vector Ordinal Regression.
CoRR
Haorui Xiang, Zhichang Wu, Guoxu Li, Rong Wang, Feiping Nie, 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
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Jintang Bian, Dandan Zhao, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Scalable and parameter-free fusion graph learning for multi-view clustering.
Neurocomputing
Yu Duan, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie
2024 J jnl
Supervised Feature Selection via Multi-Center and Local Structure Learning.
IEEE Trans. Knowl. Data Eng.
Canyu Zhang, Feiping Nie, Rong 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
Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Chang, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li
2024 A* conf
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving.
WWW
Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie
2024 J jnl
Unsupervised Deep Embedding for Fuzzy Clustering.
IEEE Trans. Fuzzy Syst.
Runxin Zhang, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Unsupervised Feature Selection With Flexible Optimal Graph.
IEEE Trans. Neural Networks Learn. Syst.
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
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
A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization.
CoRR
Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
2023 J jnl
Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis.
IEEE Trans. Cybern.
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
2023 J jnl
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Ziheng Li, Rong Wang, Xuelong Li
2023 J jnl
Calibrated multi-task subspace learning via binary group structure constraint.
Inf. Sci.
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Centerless Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Shenfei Pei, Huimin Chen, Feiping Nie, 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
Discrete and Balanced Spectral Clustering With Scalability.
IEEE Trans. Pattern Anal. Mach. Intell.
Rong Wang, Huimin Chen, Yihang Lu, Qianrong Zhang, Feiping Nie, Xuelong Li
2023 J jnl
Discriminative Projected Clustering via Unsupervised LDA.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li
2023 J jnl
Effective Clustering via Structured Graph Learning.
IEEE Trans. Knowl. Data Eng.
Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li
2023 A* conf
Efficient Top-K Feature Selection Using Coordinate Descent Method.
AAAI
Lei Xu, Rong Wang, Feiping Nie, Xuelong Li
2023 J jnl
Elaborate multi-task subspace learning with discrete group constraint.
Pattern Recognit.
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery.
Signal Process.
Yihang Lu, Xuan Zheng, Haonan Xin, Haoliang Tang, Rong Wang, Feiping Nie
2023 J jnl
Fast Multi-View Clustering via Prototype Graph.
IEEE Trans. Knowl. Data Eng.
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Fast Optimization of Spectral Embedding and Improved Spectral Rotation.
IEEE Trans. Knowl. Data Eng.
Zhen Wang, Xiangfeng Dai, Peican Zhu, Rong Wang, Xuelong Li, Feiping Nie
2023 J jnl
Fast Unsupervised Feature Selection With Bipartite Graph and $\ell _{2,0}$ℓ2,0-Norm Constraint.
IEEE Trans. Knowl. Data Eng.
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Graph-Based Soft-Balanced Fuzzy Clustering.
IEEE Trans. Fuzzy Syst.
Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst.
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2023 A* conf
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy.
NeurIPS
Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
2023 J jnl
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy.
CoRR
Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
2023 J jnl
Learning Feature-Sparse Principal Subspace.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2023 J jnl
Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank.
IEEE Trans. Cybern.
Feiping Nie, Wei Chang, Rong Wang, Xuelong Li
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
Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction.
IEEE Trans. Neural Networks Learn. Syst.
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2023 Misc conf
Multi-View K-Means with Laplacian Embedding.
ICASSP
Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Multi-class Support Vector Machine with Maximizing Minimum Margin.
CoRR
Feiping Nie, Zhezheng Hao, Rong Wang
2023 A* conf
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion.
ACM Multimedia
Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie
2023 J jnl
Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization.
IEEE Trans. Neural Networks Learn. Syst.
Wei Chang, Feiping Nie, Yijie Zhi, Rong Wang, Xuelong Li
2023 J jnl
Nonlinear Feature Selection Neural Network via Structured Sparse Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Rong Wang, Jintang Bian, Feiping Nie, Xuelong Li
2023 J jnl
Rank-$r$r Discrete Matrix Factorization for Anchor Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning.
IEEE Trans. Knowl. Data Eng.
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Robust rank-one matrix completion with rank estimation.
Pattern Recognit.
Ziheng Li, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Scalable Fuzzy Clustering With Anchor Graph.
IEEE Trans. Knowl. Data Eng.
Chaodie Liu, Feiping Nie, 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
Self-Weighted Anchor Graph Learning for Multi-View Clustering.
IEEE Trans. Multim.
Xiaochuang Shu, Xiangdong Zhang, Quanxue Gao, Ming Yang, Rong Wang, Xinbo Gao
2023 J jnl
Self-Weighted Euler $k$-Means Clustering.
IEEE Signal Process. Lett.
Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie
2023 J jnl
Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors.
IEEE Trans. Knowl. Data Eng.
Zhen Wang, Long Zhang, Rong Wang, Feiping Nie, Xuelong Li
2023 A conf
Semi-Supervised Top-k Feature Selection with a General Optimization Framework.
ICME
Lei Xu, Rong Wang, Feiping Nie, Jun Wu, Xuelong Li
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 J jnl
Unsupervised Subspace Learning With Flexible Neighboring.
IEEE Trans. Neural Networks Learn. Syst.
Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li
2022 B conf
A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization.
ICPR
Yihang Lu, Xuan Zheng, Rong Wang, Feiping Nie, Xuelong Li
2022 J jnl
A general soft-balanced clustering framework based on a novel balance regularizer.
Signal Process.
Huimin Chen, Qianrong Zhang, Rong Wang, Feiping Nie, Xuelong Li
2022 J jnl
A portable clustering algorithm based on compact neighbors for face tagging.
Neural Networks
Shenfei Pei, Yuze Zhang, Rong Wang, Feiping Nie
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
Adaptive-order proximity learning for graph-based clustering.
Pattern Recognit.
Danyang Wu, Wei Chang, Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
An attention-based framework for multi-view clustering on Grassmann manifold.
Pattern Recognit.
Danyang Wu, Xia Dong, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Balanced Graph Cut With Exponential Inter-Cluster Compactness.
IEEE Trans. Artif. Intell.
Danyang Wu, Feiping Nie, Jitao Lu, 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
Coordinate Descent Method for $k$k-means.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Jingjing Xue, Danyang Wu, Rong Wang, Hui Li, Xuelong Li
2022 Misc conf
Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning.
ICASSP
Yihang Lu, Jitao Lu, Rong Wang, Feiping Nie
2022 J jnl
Discrete and Parameter-Free Multiple Kernel k-Means.
IEEE Trans. Image Process.
Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li
2022 A* conf
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion.
IJCAI
Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan
2022 J jnl
Fast Adaptive Local Subspace Learning With Regressive Regularization.
IEEE Signal Process. Lett.
Qiang Chen, Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Fast Fuzzy Clustering Based on Anchor Graph.
IEEE Trans. Fuzzy Syst.
Feiping Nie, Chaodie Liu, Rong Wang, Zhen Wang, Xuelong Li
2022 J jnl
Fast Locality Discriminant Analysis With Adaptive Manifold Embedding.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
2022 J jnl
Fast unsupervised embedding learning with anchor-based graph.
Inf. Sci.
Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Fuzzy K-Means Clustering With Discriminative Embedding.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li, Zhihui Li
2022 J jnl
Improving projected fuzzy K-means clustering via robust learning.
Neurocomputing
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Iteratively Reweighted Algorithm for Fuzzy $c$-Means.
IEEE Trans. Fuzzy Syst.
Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Multi-view clustering based on generalized low rank approximation.
Neurocomputing
Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Multi-view clustering with adaptive procrustes on Grassmann manifold.
Inf. Sci.
Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2022 Misc conf
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation.
ICASSP
Jitao Lu, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li
2022 J jnl
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuelong Li, Han Zhang, Rong Wang, Feiping Nie
2022 J jnl
On the Global Solution of Soft k-Means.
CoRR
Feiping Nie, Hong Chen, Rong Wang, Xuelong Li
2022 J jnl
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Danyang Wu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li
2022 J jnl
Robust Matrix Completion With Column Outliers.
IEEE Trans. Cybern.
Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li
2022 A conf
Scalable Multiple Kernel
CIKM
Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li
2022 A conf
Self-Paced and Discrete Multiple Kernel
CIKM
Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li
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
Self-weighting multi-view spectral clustering based on nuclear norm.
Pattern Recognit.
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification.
Neurocomputing
Shaojun Shi, Feiping Nie, 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
2022 J jnl
Truncated Robust Principle Component Analysis With A General Optimization Framework.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li
2022 J jnl
Unsupervised Discriminative Projection for Feature Selection.
IEEE Trans. Knowl. Data Eng.
Rong Wang, Jintang Bian, Feiping Nie, Xuelong Li
2022 J jnl
Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Xia Dong, Lai Tian, Rong Wang, Xuelong Li
2022 J jnl
When multi-view classification meets ensemble learning.
Neurocomputing
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2021 Misc conf
A Rank-Constrained Clustering Algorithm with Adaptive Embedding.
ICASSP
Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction.
IEEE Signal Process. Lett.
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
An Efficient Density-based clustering algorithm for face groping.
Neurocomputing
Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Celiac Disease Detection From Videocapsule Endoscopy Images Using Strip Principal Component Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Bing Nan Li, Xinle Wang, Rong Wang, Teng Zhou, Rongke Gao, Edward J. Ciaccio, Peter H. R. Green
2021 Misc conf
Dependence-Guided Multi-View Clustering.
ICASSP
Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2021 A* conf
Discrete Multiple Kernel k-means.
IJCAI
Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li
2021 J jnl
Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery.
CoRR
Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen 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 Multi-View Clustering via Nonnegative and Orthogonal Factorization.
IEEE Trans. Image Process.
Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang, Weizhong Yu, Rong Wang
2021 J jnl
Fast Semi-Supervised Learning With Optimal Bipartite Graph.
IEEE Trans. Knowl. Data Eng.
Fang He, Feiping Nie, Rong Wang, Haojie Hu, Weimin Jia, 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 A* conf
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data.
IJCAI
Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li
2021 J jnl
Generalization bottleneck in deep metric learning.
Inf. Sci.
Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang
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
Large Graph Clustering With Simultaneous Spectral Embedding and Discretization.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Wang, Zhaoqing Li, Rong Wang, Feiping Nie, Xuelong Li
2021 J jnl
Learning to hash based on angularly discriminative embedding.
Inf. Sci.
Zhanxuan Hu, Shuzheng Hao, Feiping Nie, 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
Low Rank Regularization: A review.
Neural Networks
Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Matrix completion with column outliers and sparse noise.
Inf. Sci.
Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Multi-Directional Multi-Label Learning.
Signal Process.
Danyang Wu, Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Multi-View Clustering Based on Invisible Weights.
IEEE Signal Process. Lett.
Ziheng Li, Danyang Wu, Feiping Nie, Rong Wang, Zhensheng Sun, Xuelong Li
2021 J jnl
Multi-view clustering with interactive mechanism.
Neurocomputing
Danyang Wu, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li
2021 J jnl
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection.
Inf. Fusion
Han Zhang, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2021 A conf
New Tight Relaxations of Rank Minimization for Multi-Task Learning.
CIKM
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
New Tight Relaxations of Rank Minimization for Multi-Task Learning.
CoRR
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Ratio sum formula for dimensionality reduction.
Multim. Tools Appl.
Ke Liang, Xiaojun Yang, Yuxiong Xu, Rong Wang, Feiping Nie
2021 J jnl
Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Fang He, Feiping Nie, Rong Wang, Weimin Jia, Fenggan Zhang, 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
2021 J jnl
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.
IEEE Trans. Knowl. Data Eng.
Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang
2020 J jnl
A forest of trees with principal direction specified oblique split on random subspace.
Neurocomputing
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang, Zhongheng 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
Auto-weighted multi-view clustering via spectral embedding.
Neurocomputing
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Capped ℓ
IEEE Signal Process. Lett.
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
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
Double-Attentive Principle Component Analysis.
IEEE Signal Process. Lett.
Danyang Wu, Han Zhang, Feiping Nie, Rong Wang, Chao Yang, Xiaoxue Jia, Xuelong Li
2020 A* conf
Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut.
NeurIPS
Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2020 Misc conf
Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification.
ICASSP
Feiping Nie, Shenfei Pei, Rong Wang, Xuelong Li
2020 J jnl
Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Fang He, Feiping Nie, Rong Wang, Xuelong Li, Weimin Jia
2020 J jnl
Fast semi-supervised learning with anchor graph for large hyperspectral images.
Pattern Recognit. Lett.
Fang He, Rong Wang, Weimin Jia
2020 J jnl
Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.
Pattern Recognit. Lett.
Xiaojun Yang, Weizhong Yu, Rong Wang, Guohao Zhang, Feiping Nie
2020 A* conf
Learning Feature Sparse Principal Subspace.
NeurIPS
Lai Tian, Feiping Nie, Rong Wang, Xuelong Li
2020 Misc conf
Multi-View Clustering Via Mixed Embedding Approximation.
ICASSP
Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding.
Inf. Fusion
Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Multi-view spectral clustering via sparse graph learning.
Neurocomputing
Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang, Xuelong Li
2020 J jnl
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li
2020 J jnl
Multiview Semi-Supervised Learning Model for Image Classification.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2020 J jnl
Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning.
IEEE Trans. Knowl. Data Eng.
Rong Wang, Feiping Nie, Zhen Wang, Haojie Hu, Xuelong Li
2020 Misc conf
Revisiting Fast Spectral Clustering with Anchor Graph.
ICASSP
Cheng-Long Wang, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Self-Weighted Clustering With Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li
2020 J jnl
Self-weighted collaborative representation for hyperspectral anomaly detection.
Signal Process.
Rong Wang, Haojie Hu, Fang He, Feiping Nie, Shubin Cai, Zhong Ming
2020 A* conf
Semi-supervised Clustering via Pairwise Constrained Optimal Graph.
IJCAI
Feiping Nie, Han Zhang, Rong Wang, Xuelong Li
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
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.
CoRR
Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang
2019 J jnl
Feature Learning Viewpoint of AdaBoost and a New Algorithm.
CoRR
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2019 J jnl
Feature Learning Viewpoint of Adaboost and a New Algorithm.
IEEE Access
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2019 Misc conf
Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation.
ICASSP
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2019 J jnl
Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li
2019 J jnl
Scalable and Flexible Unsupervised Feature Selection.
Neural Comput.
Haojie Hu, Rong Wang, Xiaojun Yang, Feiping Nie
2018 J jnl
An improved locality preserving projection with ℓ
Neurocomputing
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang, Qiang Yu, Xiaojun Yang
2018 J jnl
Efficient tree classifiers for large scale datasets.
Neurocomputing
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang
2018 J jnl
Fast and Flexible Large Graph Embedding Based on Anchors.
IEEE J. Sel. Top. Signal Process.
Weizhong Yu, Feiping Nie, Fei Wang, Rong Wang, Xuelong Li
2018 J jnl
Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.
Multim. Tools Appl.
Haojie Hu, Rong Wang, Feiping Nie, Xiaojun Yang, Weizhong Yu
2018 J jnl
Multi-view embedded clustering with unsupervised trace ratio LDA.
Neurocomputing
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang
2018 J jnl
Stable and orthogonal local discriminant embedding using trace ratio criterion for dimensionality reduction.
Multim. Tools Appl.
Xiaojun Yang, Gang Liu, Qiang Yu, Rong Wang
2017 J jnl
Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Rong Wang, Feiping Nie, Weizhong Yu
2017 J jnl
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.
IEEE Trans. Image Process.
Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu
2017 J jnl
Robust Locality Preserving Projections With Cosine-Based Dissimilarity for Linear Dimensionality Reduction.
IEEE Access
Qiang Yu, Rong Wang, Bing Nan Li, Xiaojun Yang, Minli Yao
2016 J jnl
Block Principal Component Analysis With Nongreedy ℓ
IEEE Trans. Cybern.
Bing Nan Li, Qiang Yu, Rong Wang, Kui Xiang, Meng Wang, Xuelong Li
2016 J jnl
Diagonal principal component analysis with non-greedy ℓ
Neurocomputing
Qiang Yu, Rong Wang, Xiaojun Yang, Bing Nan Li, Minli Yao
2016 J jnl
Selective Level Set Segmentation Using Fuzzy Region Competition.
IEEE Access
Bing Nan Li, Jing Qin, Rong Wang, Meng Wang, Xuelong Li
2015 J jnl
Robust 2DPCA With Non-greedy ℓ
IEEE Trans. Cybern.
Rong Wang, Feiping Nie, Xiaojun Yang, Feifei Gao, Minli Yao
2013 J jnl
An Unambiguous Tracking Method Based on Pseudo Correlation Function for AltBOC(15, 10) Signal.
Wirel. Pers. Commun.
Huihua Chen, Rong Wang, Weimin Jia, Jiawei Ren, Minli Yao
2012 J jnl
A Novel Orthonormalization Matrix Based Fast and Stable DPM Algorithm for Principal and Minor Subspace Tracking.
IEEE Trans. Signal Process.
Rong Wang, Minli Yao, Daoming Zhang, Hongxing Zou
2011 J jnl
Interference cancellation in GPS receiver using noise subspace tracking algorithm.
Signal Process.
Rong Wang, Minli Yao, Zhu Cheng, Hongxing Zou
2011 J jnl
Stable and Orthonormal OJA Algorithm With Low Complexity.
IEEE Signal Process. Lett.
Rong Wang, Minli Yao, Daoming Zhang, Hongxing Zou