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ORCIDFeiping Nie 0001
Person information
- affiliation: Northwestern Polytechnical University, School of Computer Science, OPTIMAL, Xi'an, China
- affiliation (2009 - 2015): University of Texas at Arlington, TX, USA
- affiliation (PhD 2009): Tsinghua University, Beijing, China
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2020 – today
- 2024
[j407]Ruihan Chen, Junpeng Tan, Yinghong Zhou, Zhijing Yang, Feiping Nie, Tianshui Chen:
Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing. Expert Syst. Appl. 237(Part C): 121703 (2024)- 2023
- [j406]He Xiong, Deguang Kong, Feiping Nie:
Cauchy balanced nonnegative matrix factorization. Artif. Intell. Rev. 56(10): 11867-11903 (2023) - [j405]Zhengguo Yang, Jikui Wang
, Qiang Li, Jihai Yi, Xuewen Liu, Feiping Nie:
Graph optimization for unsupervised dimensionality reduction with probabilistic neighbors. Appl. Intell. 53(2): 2348-2361 (2023) - [j404]Xiaojun Yang, Junhong Gong, Lianpei Wu, Zhijing Yang, Yukai Shi, Feiping Nie:
Reference-free low-light image enhancement by associating hierarchical wavelet representations. Expert Syst. Appl. 213(Part C): 118920 (2023) - [j403]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Max-Min Robust Principal Component Analysis. Neurocomputing 521: 89-98 (2023) - [j402]Ben Yang, Jinghan Wu, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen:
Robust anchor-based multi-view clustering via spectral embedded concept factorization. Neurocomputing 528: 136-147 (2023) - [j401]Jianyong Zhu, Jingwei Chen, Bin Xu, Hui Yang, Feiping Nie:
Fast orthogonal locality-preserving projections for unsupervised feature selection. Neurocomputing 531: 100-113 (2023) - [j400]Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Feature selection with multi-class logistic regression. Neurocomputing 543: 126268 (2023) - [j399]Qianyao Qiang, Bin Zhang, Feiping Nie, Fei Wang:
Multi-view semi-supervised learning with adaptive graph fusion. Neurocomputing 557: 126685 (2023) - [j398]Jingyu Wang, Xinru Zhang, Feiping Nie, Xuelong Li:
Enhanced Robust Fuzzy K-Means Clustering joint ℓ0-norm constraint. Neurocomputing 561: 126842 (2023) - [j397]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Sparse robust subspace learning via boolean weight. Inf. Fusion 96: 224-236 (2023) - [j396]Muhammad Adnan Ashraf, Rao Muhammad Adeel Nawab, Feiping Nie:
Tran-Switch: A transfer learning approach for sentence level cross-genre author profiling on code-switched English-RomanUrdu Text. Inf. Process. Manag. 60(3): 103261 (2023) - [j395]Bing Li, Jikui Wang, Zhengguo Yang, Jihai Yi, Feiping Nie:
Fast semi-supervised self-training algorithm based on data editing. Inf. Sci. 626: 293-314 (2023) - [j394]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Calibrated multi-task subspace learning via binary group structure constraint. Inf. Sci. 631: 271-287 (2023) - [j393]Mingyu Zhao, Weidong Yang, Feiping Nie:
Auto-weighted orthogonal and nonnegative graph reconstruction for multi-view clustering. Inf. Sci. 632: 324-339 (2023) - [j392]Quan Wang, Fei Wang, Zhongheng Li, Peilin Jiang, Fuji Ren, Feiping Nie:
Efficient random subspace decision forests with a simple probability dimensionality setting scheme. Inf. Sci. 638: 118993 (2023) - [j391]Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie:
Fast spectral clustering with self-adapted bipartite graph learning. Inf. Sci. 644: 118810 (2023) - [j390]Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li:
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means. Inf. Sci. 644: 118878 (2023) - [j389]Mingyu Zhao, Weidong Yang, Feiping Nie:
MVCformer: A transformer-based multi-view clustering method. Inf. Sci. 649: 119622 (2023) - [j388]Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li:
Fast neighborhood reconstruction with adaptive weights learning. Knowl. Based Syst. 259: 110082 (2023) - [j387]Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li:
An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels. Knowl. Based Syst. 276: 110747 (2023) - [j386]Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie:
Fuzzy C-Multiple-Means Clustering for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j385]Jikui Wang, Yiwen Wu, Shaobo Li, Feiping Nie:
A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity. Neural Networks 168: 431-449 (2023) - [j384]Mingyu Zhao, Weidong Yang, Feiping Nie:
Deep graph reconstruction for multi-view clustering. Neural Networks 168: 560-568 (2023) - [j383]Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li:
Centerless Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 167-181 (2023) - [j382]Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Learning Feature-Sparse Principal Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4858-4869 (2023) - [j381]Zhengxin Li, Feiping Nie, Jintang Bian, Danyang Wu, Xuelong Li:
Sparse PCA via $\ell _{2,p}$ℓ2,p-Norm Regularization for Unsupervised Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5322-5328 (2023) - [j380]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) - [j379]Han Zhang, Feiping Nie, Xuelong Li:
Large-Scale Clustering With Structured Optimal Bipartite Graph. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9950-9963 (2023) - [j378]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) - [j377]Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie:
Multi-View Discrete Clustering: A Concise Model. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15154-15170 (2023) - [j376]Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie:
Robust weighted co-clustering with global and local discrimination. Pattern Recognit. 138: 109405 (2023) - [j375]Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Sparse feature selection via fast embedding spectral analysis. Pattern Recognit. 139: 109472 (2023) - [j374]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Elaborate multi-task subspace learning with discrete group constraint. Pattern Recognit. 139: 109515 (2023) - [j373]Ziheng Li, Feiping Nie, Rong Wang, Xuelong Li:
Robust rank-one matrix completion with rank estimation. Pattern Recognit. 142: 109637 (2023) - [j372]Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie:
Simultaneous local clustering and unsupervised feature selection via strong space constraint. Pattern Recognit. 142: 109718 (2023) - [j371]Mingyu Zhao, Weidong Yang, Feiping Nie:
Deep multi-view spectral clustering via ensemble. Pattern Recognit. 144: 109836 (2023) - [j370]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) - [j369]Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie:
Self-Weighted Euler $k$-Means Clustering. IEEE Signal Process. Lett. 30: 1127-1131 (2023) - [j368]Huafeng Li, Minghui Liu, Zhanxuan Hu, Feiping Nie, Zhengtao Yu:
Intermediary-Guided Bidirectional Spatial-Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4962-4972 (2023) - [j367]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) - [j366]Zhengxin Li, Feiping Nie, Danyang Wu, Zhanxuan Hu, Xuelong Li:
Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors. IEEE Trans. Cybern. 53(2): 1260-1271 (2023) - [j365]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) - [j364]Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong:
Two-Dimensional Embedded Fuzzy Data Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1263-1275 (2023) - [j363]Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li:
Graph-Based Soft-Balanced Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 31(6): 2044-2055 (2023) - [j362]Jingwei Chen, Jianyong Zhu, Hongyun Jiang, Hui Yang, Feiping Nie:
Sparsity Fuzzy C-Means Clustering With Principal Component Analysis Embedding. IEEE Trans. Fuzzy Syst. 31(7): 2099-2111 (2023) - [j361]Qiang Chen, Feiping Nie, Weizhong Yu, Xuelong Li:
$\ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means. IEEE Trans. Fuzzy Syst. 31(9): 2904-2916 (2023) - [j360]Jianyong Zhu, Wenjie Zhao, Hui Yang, Feiping Nie:
Joint Learning of Anchor Graph-Based Fuzzy Spectral Embedding and Fuzzy K-Means. IEEE Trans. Fuzzy Syst. 31(11): 4097-4108 (2023) - [j359]Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Trans. Ind. Informatics 19(7): 8104-8115 (2023) - [j358]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) - [j357]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) - [j356]Yunlong Gao, Tingting Lin, Yisong Zhang, Sizhe Luo, Feiping Nie:
Robust Principal Component Analysis Based on Discriminant Information. IEEE Trans. Knowl. Data Eng. 35(2): 1991-2003 (2023) - [j355]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) - [j354]Jianyong Zhu, Lihong Tao, Hui Yang, Feiping Nie:
Unsupervised Optimized Bipartite Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(3): 3224-3238 (2023) - [j353]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) - [j352]Quan Wang, Fei Wang, Fuji Ren, Zhongheng Li, Feiping Nie:
An Effective Clustering Optimization Method for Unsupervised Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 35(4): 3444-3457 (2023) - [j351]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) - [j350]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) - [j349]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) - [j348]Ben Yang, Xuetao Zhang, Zhongheng Li, Feiping Nie, Fei Wang:
Efficient Multi-View K-Means Clustering With Multiple Anchor Graphs. IEEE Trans. Knowl. Data Eng. 35(7): 6887-6900 (2023) - [j347]Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang:
Iteratively Re-Weighted Method for Sparsity-Inducing Norms. IEEE Trans. Knowl. Data Eng. 35(7): 7045-7055 (2023) - [j346]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) - [j345]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) - [j344]Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li:
Scalable Fuzzy Clustering With Anchor Graph. IEEE Trans. Knowl. Data Eng. 35(8): 8503-8514 (2023) - [j343]Jianyong Zhu, Xinyun Chen, Hui Yang, Feiping Nie:
Unsupervised Adaptive Bipartite Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(10): 10514-10525 (2023) - [j342]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) - [j341]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) - [j340]Wei Wang, Haojie Li, Zhengming Ding, Feiping Nie, Junyang Chen, Xiao Dong, Zhihui Wang:
Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(1): 264-277 (2023) - [j339]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) - [j338]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) - [j337]Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li:
Joint Feature Selection and Extraction With Sparse Unsupervised Projection. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3071-3081 (2023) - [j336]Feiping Nie, Shaojun Shi, Jing Li, Xuelong Li:
Implicit Weight Learning for Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4223-4236 (2023) - [j335]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) - [j334]Ben Yang, Xuetao Zhang, Feiping Nie, Badong Chen, Fei Wang, Zhixiong Nan, Nanning Zheng:
ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7377-7390 (2023) - [j333]Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Robust Supervised and Semisupervised Least Squares Regression Using ℓ2,p-Norm Minimization. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8389-8403 (2023) - [j332]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) - [j331]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) - [j330]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) - [j329]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) - [c224]Lei Xu, Rong Wang, Feiping Nie, Xuelong Li:
Efficient Top-K Feature Selection Using Coordinate Descent Method. AAAI 2023: 10594-10601 - [c223]Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-View K-Means with Laplacian Embedding. ICASSP 2023: 1-5 - [c222]Yongjin Yuan, Zheng Wang, Feiping Nie, Xuelong Li:
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint. ICASSP 2023: 1-5 - [c221]Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li:
Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction. ICASSP 2023: 1-5 - [c220]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 - [c219]Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie:
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion. ACM Multimedia 2023: 3268-3276 - [c218]Mingyu Zhao, Weidong Yang, Feiping Nie:
Transformer-Based Contrastive Multi-view Clustering via Ensembles. ECML/PKDD (1) 2023: 678-694 - [i45]Bo Jiang, Fei Xu, Ziyan Zhang, Jin Tang, Feiping Nie:
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer. CoRR abs/2305.07521 (2023) - [i44]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) - [i43]Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie:
NP2L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks. CoRR abs/2310.01098 (2023) - [i42]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) - 2022
- [j328]Haifeng Zhao, Qi Li, Zheng Wang, Feiping Nie:
Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection. Cogn. Comput. 14(3): 1211-1221 (2022) - [j327]Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-view clustering based on generalized low rank approximation. Neurocomputing 471: 251-259 (2022) - [j326]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) - [j325]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
When multi-view classification meets ensemble learning. Neurocomputing 490: 17-29 (2022) - [j324]Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Improving projected fuzzy K-means clustering via robust learning. Neurocomputing 491: 34-43 (2022) - [j323]Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie:
Multi-view unsupervised dimensionality reduction with probabilistic neighbors. Neurocomputing 500: 203-216 (2022) - [j322]Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li:
Unified dual-label semi-supervised learning with top-k feature selection. Neurocomputing 501: 875-888 (2022) - [j321]Xiaojun Yang, Siyuan Li, Ke Liang, Feiping Nie, Liang Lin:
Structured graph optimization for joint spectral embedding and clustering. Neurocomputing 503: 62-72 (2022) - [j320]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) - [j319]Jikui Wang, Zhengguo Yang, Xuewen Liu, Bing Li, Jihai Yi, Feiping Nie:
Projected fuzzy C-means with probabilistic neighbors. Inf. Sci. 607: 553-571 (2022) - [j318]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) - [j317]Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li:
Fast unsupervised embedding learning with anchor-based graph. Inf. Sci. 609: 949-962 (2022) - [j316]Jingwei Chen, Jianyong Zhu, Bingxia Feng, Shiyu Xie, Hui Yang, Feiping Nie:
A novel method for optimizing spectral rotation embedding K-means with coordinate descent. Inf. Sci. 612: 1095-1110 (2022) - [j315]Jingwei Chen, Jianyong Zhu, Shiyu Xie, Hui Yang, Feiping Nie:
FGC_SS: Fast Graph Clustering Method by Joint Spectral Embedding and Improved Spectral Rotation. Inf. Sci. 613: 853-870 (2022) - [j314]Danyang Wu, Han Wang, Zhanxuan Hu, Feiping Nie:
Improved deep metric learning with local neighborhood component analysis. Inf. Sci. 617: 165-176 (2022) - [j313]Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Feihu Yan:
Subspace clustering by directly solving Discriminative K-means. Knowl. Based Syst. 252: 109452 (2022) - [j312]Xiaojun Yang,