Rong Wang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2025
Publications (10 Years): 176

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Neural Networks Learn. Syst.

Neurocomputing

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Runxin Zhang, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li
Anchor-based fast spectral ensemble clustering. Inf. Fusion 113 (2025)
Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024)
Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li
Ensemble Clustering With Attentional Representation. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
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)
Jintang Bian, Dandan Zhao, Feiping Nie, Rong Wang, Xuelong Li
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie
Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. Inf. Fusion 111 (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)
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)
Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Yu Duan, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie
Scalable and parameter-free fusion graph learning for multi-view clustering. Neurocomputing 597 (2024)
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
Unsupervised Feature Selection With Flexible Optimal Graph. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
Harmonic cut: An efficient and directly solved balanced graph clustering. Neurocomputing 578 (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)
Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang
Local sparse discriminative feature selection. Inf. Sci. 662 (2024)
Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie
Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering. IEEE Trans. Signal Process. 72 (2024)
Feiping Nie, Zhezheng Hao, Rong Wang
Multi-Class Support Vector Machine with Maximizing Minimum Margin. AAAI (2024)
Feiping Nie, Jingjing Xue, Rong Wang, Liang Zhang, Xuelong Li
Fast Clustering by Directly Solving Bipartite Graph Clustering Problem. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (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)
Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie
Prediction consistency regularization for Generalized Category Discovery. Inf. Fusion 112 (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)
Haorui Xiang, Zhichang Wu, Guoxu Li, Rong Wang, Feiping Nie, Xuelong Li
Robust Capped lp-Norm Support Vector Ordinal Regression. CoRR (2024)
Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. WWW (2024)
Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li
Supervised Feature Selection via Multi-Center and Local Structure Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li
Bidirectional Attentive Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Jingjing Xue, Feiping Nie, Rong Wang, Liang Zhang, Xuelong Li
Fast Clustering via Maximizing Adaptively Within-Class Similarity. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
New approach for learning structured graph with Laplacian rank constraint. Neurocomputing 598 (2024)
Danyang Wu, Xia Dong, Jianfu Cao, Rong Wang, Feiping Nie, Xuelong Li
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (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)
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Ziheng Li, Feiping Nie, Rong Wang, Xuelong Li
Robust rank-one matrix completion with rank estimation. Pattern Recognit. 142 (2023)
Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li
Scalable Fuzzy Clustering With Anchor Graph. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
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)
Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li
Discriminative Projected Clustering via Unsupervised LDA. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
Calibrated multi-task subspace learning via binary group structure constraint. Inf. Sci. 631 (2023)
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
Fast Unsupervised Feature Selection With Bipartite Graph and $\ell _{2,0}$ℓ2,0-Norm Constraint. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li
Rank-$r$r Discrete Matrix Factorization for Anchor Graph Clustering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
Elaborate multi-task subspace learning with discrete group constraint. Pattern Recognit. 139 (2023)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Sparse robust subspace learning via boolean weight. Inf. Fusion 96 (2023)
Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization. CoRR (2023)
Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion. ACM Multimedia (2023)
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Max-Min Robust Principal Component Analysis. Neurocomputing 521 (2023)
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (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)
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Lei Xu, Rong Wang, Feiping Nie, Xuelong Li
Efficient Top-K Feature Selection Using Coordinate Descent Method. AAAI (2023)
Wei Chang, Feiping Nie, Yijie Zhi, Rong Wang, Xuelong Li
Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie
Self-Weighted Euler $k$-Means Clustering. IEEE Signal Process. Lett. 30 (2023)
Feiping Nie, Wei Chang, Rong Wang, Xuelong Li
Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank. IEEE Trans. Cybern. 53 (2) (2023)
Xiaochuang Shu, Xiangdong Zhang, Quanxue Gao, Ming Yang, Rong Wang, Xinbo Gao
Self-Weighted Anchor Graph Learning for Multi-View Clustering. IEEE Trans. Multim. 25 (2023)
Rong Wang, Huimin Chen, Yihang Lu, Qianrong Zhang, Feiping Nie, Xuelong Li
Discrete and Balanced Spectral Clustering With Scalability. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Zhen Wang, Long Zhang, Rong Wang, Feiping Nie, Xuelong Li
Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li
Effective Clustering via Structured Graph Learning. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
Learning Feature-Sparse Principal Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li
Centerless Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. IEEE Trans. Multim. 25 (2023)
Zhen Wang, Xiangfeng Dai, Peican Zhu, Rong Wang, Xuelong Li, Feiping Nie
Fast Optimization of Spectral Embedding and Improved Spectral Rotation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Feiping Nie, Zhezheng Hao, Rong Wang
Multi-class Support Vector Machine with Maximizing Minimum Margin. CoRR (2023)
Lei Xu, Rong Wang, Feiping Nie, Jun Wu, Xuelong Li
Semi-Supervised Top-k Feature Selection with a General Optimization Framework. ICME (2023)
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
Fast Multi-View Clustering via Prototype Graph. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li
A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li
Graph-Based Soft-Balanced Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 31 (6) (2023)
Feiping Nie, Ziheng Li, Rong Wang, Xuelong Li
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Rong Wang, Jintang Bian, Feiping Nie, Xuelong Li
Nonlinear Feature Selection Neural Network via Structured Sparse Regularization. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (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)
Yihang Lu, Xuan Zheng, Haonan Xin, Haoliang Tang, Rong Wang, Feiping Nie
Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery. Signal Process. 204 (2023)
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis. IEEE Trans. Cybern. 53 (6) (2023)
Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li
Unsupervised Subspace Learning With Flexible Neighboring. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li
Multi-View K-Means with Laplacian Embedding. ICASSP (2023)
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification. Neurocomputing 488 (2022)
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
When multi-view classification meets ensemble learning. Neurocomputing 490 (2022)
Danyang Wu, Wei Chang, Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li
Adaptive-order proximity learning for graph-based clustering. Pattern Recognit. 126 (2022)
Feiping Nie, Chaodie Liu, Rong Wang, Zhen Wang, Xuelong Li
Fast Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 30 (7) (2022)
Qiang Chen, Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
Fast Adaptive Local Subspace Learning With Regressive Regularization. IEEE Signal Process. Lett. 29 (2022)
Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
Multi-view clustering with adaptive procrustes on Grassmann manifold. Inf. Sci. 609 (2022)
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
Improving projected fuzzy K-means clustering via robust learning. Neurocomputing 491 (2022)
Feiping Nie, Xia Dong, Lai Tian, Rong Wang, Xuelong Li
Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
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, Xiaowei Zhao, Rong Wang, Xuelong Li, Zhihui Li
Fuzzy K-Means Clustering With Discriminative Embedding. IEEE Trans. Knowl. Data Eng. 34 (3) (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, Hong Chen, Rong Wang, Xuelong Li
On the Global Solution of Soft k-Means. CoRR (2022)
Yihang Lu, Xuan Zheng, Rong Wang, Feiping Nie, Xuelong Li
A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization. ICPR (2022)
Jitao Lu, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation. ICASSP (2022)
Yihang Lu, Jitao Lu, Rong Wang, Feiping Nie
Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning. ICASSP (2022)
Zheng Wang, Haojie Hu, Rong Wang, Qianrong Zhang, Feiping Nie, Xuelong Li
Capped ℓp-norm linear discriminant analysis for robust projections learning. Neurocomputing 511 (2022)
Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
Multi-view clustering based on generalized low rank approximation. Neurocomputing 471 (2022)
Huimin Chen, Qianrong Zhang, Rong Wang, Feiping Nie, Xuelong Li
A general soft-balanced clustering framework based on a novel balance regularizer. Signal Process. 198 (2022)
Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li
Iteratively Reweighted Algorithm for Fuzzy $c$-Means. IEEE Trans. Fuzzy Syst. 30 (10) (2022)
Danyang Wu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li
Subspace Sparse Discriminative Feature Selection. IEEE Trans. Cybern. 52 (6) (2022)
Danyang Wu, Xia Dong, Feiping Nie, Rong Wang, Xuelong Li
An attention-based framework for multi-view clustering on Grassmann manifold. Pattern Recognit. 128 (2022)
Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li
-Means. CIKM (2022)
Shenfei Pei, Yuze Zhang, Rong Wang, Feiping Nie
A portable clustering algorithm based on compact neighbors for face tagging. Neural Networks 154 (2022)
Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li
Fast unsupervised embedding learning with anchor-based graph. Inf. Sci. 609 (2022)
Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li
Balanced Graph Cut With Exponential Inter-Cluster Compactness. IEEE Trans. Artif. Intell. 3 (4) (2022)
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
Fast Locality Discriminant Analysis With Adaptive Manifold Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Xuelong Li, Han Zhang, Rong Wang, Feiping Nie
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li
Truncated Robust Principle Component Analysis With A General Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li
Robust Matrix Completion With Column Outliers. IEEE Trans. Cybern. 52 (11) (2022)

Rong Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Rong Wang