default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRong Wang 0001
Person information
- affiliation: Northwestern Polytechnical University, Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xian, China
Other persons with the same name
- Rong Wang — disambiguation page
- Rong Wang 0002
![[0000-0002-2519-0512]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2519-0512")
— Hosei University, Department of Computer Science, Tokyo, Japan - Rong Wang 0003 — Chongqing University of Posts and Telecommunications, School of Software Engineering, China (and 1 more)
- Rong Wang 0004 — Nanjing University of Aeronautics and Astronautics, Navigation Research Center, College of Automation Engineering, China
- Rong Wang 0005 — Stuttgart University, Institute of Natural Language Processing, Germany
- Rong Wang 0006 — Sichuan Normal University, College of Computer Science, Visual Computing and Virtual Reality Key Laboratory of Sichuan, Chengdu, China (and 1 more)
- Rong Wang 0007 — University of California, Riverside, Institute Center for Research in Intelligent Systems, CA, USA
- Rong Wang 0008 — Beihang University, Digital Society and Blockchain Laboratory, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j154]Runxin Zhang, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li:
Anchor-based fast spectral ensemble clustering. Inf. Fusion 113: 102587 (2025)- [j153]Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie:
Multi-view clustering via high-order bipartite graph fusion. Inf. Fusion 113: 102630 (2025) - [j152]Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie:
Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline. Neural Networks 182: 106908 (2025) - 2024
- [j151]Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
Harmonic cut: An efficient and directly solved balanced graph clustering. Neurocomputing 578: 127381 (2024) - [j150]Yu Duan, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie:
Scalable and parameter-free fusion graph learning for multi-view clustering. Neurocomputing 597: 128037 (2024) - [j149]Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
New approach for learning structured graph with Laplacian rank constraint. Neurocomputing 598: 128065 (2024) - [j148]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: 128189 (2024) - [j147]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: 102483 (2024) - [j146]Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie:
Prediction consistency regularization for Generalized Category Discovery. Inf. Fusion 112: 102547 (2024) - [j145]Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang:
Local sparse discriminative feature selection. Inf. Sci. 662: 120214 (2024) - [j144]Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu:
T-distributed Stochastic Neighbor Network for unsupervised representation learning. Neural Networks 179: 106520 (2024) - [j143]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): 641-658 (2024) - [j142]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): 659-666 (2024) - [j141]Wei Chang, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li:
Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10434-10451 (2024) - [j140]Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li:
A Novel and Effective Method to Directly Solve Spectral Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10863-10875 (2024) - [j139]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): 4527-4538 (2024) - [j138]Huimin Chen, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
Fuzzy Clustering From Subset-Clustering to Fullset-Membership. IEEE Trans. Fuzzy Syst. 32(9): 5359-5370 (2024) - [j137]Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li:
Ensemble Clustering With Attentional Representation. IEEE Trans. Knowl. Data Eng. 36(2): 581-593 (2024) - [j136]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): 1234-1248 (2024) - [j135]Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li:
Bidirectional Attentive Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(5): 1889-1901 (2024) - [j134]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): 4930-4942 (2024) - [j133]Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li:
An Balanced, and Scalable Graph-Based Multiview Clustering Method. IEEE Trans. Knowl. Data Eng. 36(12): 7643-7656 (2024) - [j132]Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j131]Hong Chen, Feiping Nie, Rong Wang, Xuelong Li:
Unsupervised Feature Selection With Flexible Optimal Graph. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2014-2027 (2024) - [j130]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): 3601-3614 (2024) - [j129]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): 7175-7189 (2024) - [j128]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): 7974-7987 (2024) - [j127]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): 8939-8953 (2024) - [j126]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): 9174-9185 (2024) - [j125]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): 9800-9813 (2024) - [j124]Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11106-11115 (2024) - [j123]Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li:
Fast Multiview Clustering by Optimal Graph Mining. IEEE Trans. Neural Networks Learn. Syst. 35(9): 13071-13077 (2024) - [j122]Rong Wang, Penglei Wang, Danyang Wu, Zhensheng Sun, Feiping Nie, Xuelong Li:
Multi-View and Multi-Order Structured Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14437-14448 (2024) - [j121]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: 2221-2232 (2024) - [c29]Feiping Nie, Zhezheng Hao, Rong Wang:
Multi-Class Support Vector Machine with Maximizing Minimum Margin. AAAI 2024: 14466-14473 - [c28]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: 3585-3589 - [c27]Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie:
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. IJCAI 2024: 4955-4963 - [c26]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: 322-333 - [i12]Haorui Xiang, Zhichang Wu, Guoxu Li, Rong Wang, Feiping Nie, Xuelong Li:
Robust Capped lp-Norm Support Vector Ordinal Regression. CoRR abs/2404.16616 (2024) - [i11]Jinghui Yuan, Chusheng Zeng, Fangyuan Xie, Zhe Cao, Mulin Chen, Rong Wang, Feiping Nie, Yuan Yuan:
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping. CoRR abs/2408.02932 (2024) - [i10]Jinghui Yuan, Weijin Jiang, Zhe Cao, Fangyuan Xie, Rong Wang, Feiping Nie, Yuan Yuan:
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method. CoRR abs/2408.02936 (2024) - [i9]Chusheng Zeng, Bocheng Wang, Jinghui Yuan, Rong Wang, Mulin Chen:
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance. CoRR abs/2408.12071 (2024) - 2023
- [j120]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Max-Min Robust Principal Component Analysis. Neurocomputing 521: 89-98 (2023) - [j119]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Sparse robust subspace learning via boolean weight. Inf. Fusion 96: 224-236 (2023) - [j118]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Calibrated multi-task subspace learning via binary group structure constraint. Inf. Sci. 631: 271-287 (2023) - [j117]Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li:
Centerless Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 167-181 (2023) - [j116]Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Learning Feature-Sparse Principal Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4858-4869 (2023) - [j115]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): 7087-7098 (2023) - [j114]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): 14321-14336 (2023) - [j113]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Elaborate multi-task subspace learning with discrete group constraint. Pattern Recognit. 139: 109515 (2023) - [j112]Ziheng Li, Feiping Nie, Rong Wang, Xuelong Li:
Robust rank-one matrix completion with rank estimation. Pattern Recognit. 142: 109637 (2023) - [j111]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: 108835 (2023) - [j110]Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie:
Self-Weighted Euler $k$-Means Clustering. IEEE Signal Process. Lett. 30: 1127-1131 (2023) - [j109]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): 1235-1247 (2023) - [j108]Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li:
Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis. IEEE Trans. Cybern. 53(6): 3574-3587 (2023) - [j107]Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li:
Graph-Based Soft-Balanced Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 31(6): 2044-2055 (2023) - [j106]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Fast Multi-View Clustering via Prototype Graph. IEEE Trans. Knowl. Data Eng. 35(1): 443-455 (2023) - [j105]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): 1515-1527 (2023) - [j104]Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning. IEEE Trans. Knowl. Data Eng. 35(3): 3001-3013 (2023) - [j103]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): 3433-3443 (2023) - [j102]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): 4781-4793 (2023) - [j101]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): 5257-5268 (2023) - [j100]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): 6362-6375 (2023) - [j99]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): 7371-7381 (2023) - [j98]Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li:
Effective Clustering via Structured Graph Learning. IEEE Trans. Knowl. Data Eng. 35(8): 7909-7920 (2023) - [j97]Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li:
Scalable Fuzzy Clustering With Anchor Graph. IEEE Trans. Knowl. Data Eng. 35(8): 8503-8514 (2023) - [j96]Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li:
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. IEEE Trans. Multim. 25: 3534-3545 (2023) - [j95]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: 5485-5499 (2023) - [j94]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): 201-214 (2023) - [j93]Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li:
Unsupervised Subspace Learning With Flexible Neighboring. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2043-2056 (2023) - [j92]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): 2753-2766 (2023) - [j91]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): 6055-6068 (2023) - [j90]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): 9064-9077 (2023) - [j89]Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li:
Discriminative Projected Clustering via Unsupervised LDA. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9466-9480 (2023) - [j88]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): 9481-9492 (2023) - [j87]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): 9493-9505 (2023) - [c25]Lei Xu, Rong Wang, Feiping Nie, Xuelong Li:
Efficient Top-K Feature Selection Using Coordinate Descent Method. AAAI 2023: 10594-10601 - [c24]Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-View K-Means with Laplacian Embedding. ICASSP 2023: 1-5 - [c23]Lei Xu, Rong Wang, Feiping Nie, Jun Wu, Xuelong Li:
Semi-Supervised Top-k Feature Selection with a General Optimization Framework. ICME 2023: 288-293 - [c22]Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie:
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion. ACM Multimedia 2023: 3268-3276 - [c21]Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li:
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy. NeurIPS 2023 - [i8]Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li:
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy. CoRR abs/2305.12396 (2023) - [i7]Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li:
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization. CoRR abs/2311.15214 (2023) - [i6]Feiping Nie, Zhezheng Hao, Rong Wang:
Multi-class Support Vector Machine with Maximizing Minimum Margin. CoRR abs/2312.06578 (2023) - 2022
- [j86]Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-view clustering based on generalized low rank approximation. Neurocomputing 471: 251-259 (2022) - [j85]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: 248-260 (2022) - [j84]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
When multi-view classification meets ensemble learning. Neurocomputing 490: 17-29 (2022) - [j83]Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Improving projected fuzzy K-means clustering via robust learning. Neurocomputing 491: 34-43 (2022) - [j82]Zheng Wang, Haojie Hu, Rong Wang, Qianrong Zhang, Feiping Nie, Xuelong Li:
Capped ℓp-norm linear discriminant analysis for robust projections learning. Neurocomputing 511: 399-409 (2022) - [j81]Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-view clustering with adaptive procrustes on Grassmann manifold. Inf. Sci. 609: 855-875 (2022) - [j80]Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li:
Fast unsupervised embedding learning with anchor-based graph. Inf. Sci. 609: 949-962 (2022) - [j79]Shenfei Pei, Yuze Zhang, Rong Wang, Feiping Nie:
A portable clustering algorithm based on compact neighbors for face tagging. Neural Networks 154: 508-520 (2022) - [j78]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): 330-344 (2022) - [j77]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): 1081-1097 (2022) - [j76]Feiping Nie, Jingjing Xue, Danyang Wu, Rong Wang, Hui Li, Xuelong Li:
Coordinate Descent Method for $k$k-means. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2371-2385 (2022) - [j75]Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li:
Fast Locality Discriminant Analysis With Adaptive Manifold Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9315-9330 (2022) - [j74]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Self-weighting multi-view spectral clustering based on nuclear norm. Pattern Recognit. 124: 108429 (2022) - [j73]Danyang Wu, Wei Chang, Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li:
Adaptive-order proximity learning for graph-based clustering. Pattern Recognit. 126: 108550 (2022) - [j72]Danyang Wu, Xia Dong, Feiping Nie, Rong Wang, Xuelong Li:
An attention-based framework for multi-view clustering on Grassmann manifold. Pattern Recognit. 128: 108610 (2022) - [j71]Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Self-weighted learning framework for adaptive locality discriminant analysis. Pattern Recognit. 129: 108778 (2022) - [j70]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: 108572 (2022) - [j69]Qiang Chen, Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Fast Adaptive Local Subspace Learning With Regressive Regularization. IEEE Signal Process. Lett. 29: 1759-1763 (2022) - [j68]Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li:
Balanced Graph Cut With Exponential Inter-Cluster Compactness. IEEE Trans. Artif. Intell. 3(4): 498-505 (2022) - [j67]Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li:
Subspace Sparse Discriminative Feature Selection. IEEE Trans. Cybern. 52(6): 4221-4233 (2022) - [j66]Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li:
Robust Matrix Completion With Column Outliers. IEEE Trans. Cybern. 52(11): 12042-12055 (2022) - [j65]Feiping Nie, Chaodie Liu, Rong Wang, Zhen Wang, Xuelong Li:
Fast Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 30(7): 2375-2387 (2022) - [j64]Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li:
Iteratively Reweighted Algorithm for Fuzzy $c$-Means. IEEE Trans. Fuzzy Syst. 30(