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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
- 2023
[j365]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)- [j364]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) - [j363]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Max-Min Robust Principal Component Analysis. Neurocomputing 521: 89-98 (2023) - [j362]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) - [j361]Jianyong Zhu, Jingwei Chen, Bin Xu, Hui Yang, Feiping Nie:
Fast orthogonal locality-preserving projections for unsupervised feature selection. Neurocomputing 531: 100-113 (2023) - [j360]Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Feature selection with multi-class logistic regression. Neurocomputing 543: 126268 (2023) - [j359]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) - [j358]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) - [j357]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Calibrated multi-task subspace learning via binary group structure constraint. Inf. Sci. 631: 271-287 (2023) - [j356]Mingyu Zhao, Weidong Yang, Feiping Nie:
Auto-weighted orthogonal and nonnegative graph reconstruction for multi-view clustering. Inf. Sci. 632: 324-339 (2023) - [j355]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) - [j354]Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li:
Fast neighborhood reconstruction with adaptive weights learning. Knowl. Based Syst. 259: 110082 (2023) - [j353]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) - [j352]Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li:
Centerless Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 167-181 (2023) - [j351]Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Learning Feature-Sparse Principal Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4858-4869 (2023) - [j350]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) - [j349]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) - [j348]Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie:
Robust weighted co-clustering with global and local discrimination. Pattern Recognit. 138: 109405 (2023) - [j347]Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Sparse feature selection via fast embedding spectral analysis. Pattern Recognit. 139: 109472 (2023) - [j346]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Elaborate multi-task subspace learning with discrete group constraint. Pattern Recognit. 139: 109515 (2023) - [j345]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) - [j344]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) - [j343]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) - [j342]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) - [j341]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) - [j340]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) - [j339]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) - [j338]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) - [j337]Jianyong Zhu, Lihong Tao, Hui Yang, Feiping Nie:
Unsupervised Optimized Bipartite Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(3): 3224-3238 (2023) - [j336]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) - [j335]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) - [j334]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) - [j333]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) - [j332]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) - [j331]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) - [j330]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) - [j329]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) - [i44]Bo Jiang, Fei Xu, Ziyan Zhang, Jin Tang, Feiping Nie:
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer. CoRR abs/2305.07521 (2023) - [i43]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) - 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, Guoquan Lin, Yijun Liu, Feiping Nie, Liang Lin:
Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j311]Lei Xu, Hui Wu, Chunming He, Jun Wang, Changqing Zhang, Feiping Nie, Lei Chen:
Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data. Medical Image Anal. 82: 102643 (2022) - [j310]Ben Yang, Xuetao Zhang, Badong Chen, Feiping Nie, Zhiping Lin, Zhixiong Nan:
Efficient correntropy-based multi-view clustering with anchor graph embedding. Neural Networks 146: 290-302 (2022) - [j309]Siyuan Peng, Zhijing Yang, Feiping Nie, Badong Chen, Zhiping Lin:
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering. Neural Networks 154: 203-217 (2022) - [j308]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) - [j307]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) - [j306]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) - [j305]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) - [j304]Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive Neighborhood Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4591-4604 (2022) - [j303]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) - [j302]Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10171-10185 (2022) - [j301]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Self-weighting multi-view spectral clustering based on nuclear norm. Pattern Recognit. 124: 108429 (2022) - [j300]Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Entropy regularization for unsupervised clustering with adaptive neighbors. Pattern Recognit. 125: 108517 (2022) - [j299]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) - [j298]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) - [j297]Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Self-weighted learning framework for adaptive locality discriminant analysis. Pattern Recognit. 129: 108778 (2022) - [j296]Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang:
Directly solving normalized cut for multi-view data. Pattern Recognit. 130: 108809 (2022) - [j295]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) - [j294]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) - [j293]Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 13(4): 1941-1958 (2022) - [j292]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) - [j291]Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki:
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14(3): 935-947 (2022) - [j290]Wei Wang, Baopu Li, Mengzhu Wang, Feiping Nie, Zhihui Wang, Haojie Li:
Confidence Regularized Label Propagation Based Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3319-3333 (2022) - [j289]Ben Yang, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen, Fei Wang:
Efficient and Robust MultiView Clustering With Anchor Graph Regularization. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6200-6213 (2022) - [j288]Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li:
Subspace Sparse Discriminative Feature Selection. IEEE Trans. Cybern. 52(6): 4221-4233 (2022) - [j287]Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao:
Semisupervised Feature Selection via Structured Manifold Learning. IEEE Trans. Cybern. 52(7): 5756-5766 (2022) - [j286]Xuelong Li, Qi Wang, Feiping Nie, Mulin Chen:
Locality Adaptive Discriminant Analysis Framework. IEEE Trans. Cybern. 52(8): 7291-7302 (2022) - [j285]Chen Wang, Xiaojun Chen, Guowen Yuan, Feiping Nie, Min Yang:
Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression. IEEE Trans. Cybern. 52(8): 8413-8424 (2022) - [j284]Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Progressive Self-Supervised Clustering With Novel Category Discovery. IEEE Trans. Cybern. 52(10): 10393-10406 (2022) - [j283]Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li:
Robust Matrix Completion With Column Outliers. IEEE Trans. Cybern. 52(11): 12042-12055 (2022) - [j282]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) - [j281]Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li:
Iteratively Reweighted Algorithm for Fuzzy $c$-Means. IEEE Trans. Fuzzy Syst. 30(10): 4310-4321 (2022) - [j280]Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j279]Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, Bao-Liang Lu:
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j278]Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li:
Discrete and Parameter-Free Multiple Kernel k-Means. IEEE Trans. Image Process. 31: 2796-2808 (2022) - [j277]Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang:
Fast Multiview Clustering With Spectral Embedding. IEEE Trans. Image Process. 31: 3884-3895 (2022) - [j276]Yunlong Gao, Tingting Lin, Jinyan Pan, Feiping Nie, Youwei Xie:
Fuzzy Sparse Deviation Regularized Robust Principal Component Analysis. IEEE Trans. Image Process. 31: 5645-5660 (2022) - [j275]Bin Zhang, Qianyao Qiang, Fei Wang, Feiping Nie:
Fast Multi-View Semi-Supervised Learning With Learned Graph. IEEE Trans. Knowl. Data Eng. 34(1): 286-299 (2022) - [j274]Junwei Han, Jinglin Xu, Feiping Nie, Xuelong Li:
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation. IEEE Trans. Knowl. Data Eng. 34(2): 816-827 (2022) - [j273]Rong Wang, Jintang Bian, Feiping Nie, Xuelong Li:
Unsupervised Discriminative Projection for Feature Selection. IEEE Trans. Knowl. Data Eng. 34(2): 942-953 (2022) - [j272]Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li, Zhihui Li:
Fuzzy K-Means Clustering With Discriminative Embedding. IEEE Trans. Knowl. Data Eng. 34(3): 1221-1230 (2022) - [j271]Feiping Nie, Wei Chang, Zhanxuan Hu, Xuelong Li:
Robust Subspace Clustering With Low-Rank Structure Constraint. IEEE Trans. Knowl. Data Eng. 34(3): 1404-1415 (2022) - [j270]Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means. IEEE Trans. Knowl. Data Eng. 34(4): 2008-2019 (2022) - [j269]Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 34(10): 4609-4621 (2022) - [j268]Shuangyan Yi, Feiping Nie, Yongsheng Liang, Wei Liu, Zhenyu He, Qingmin Liao:
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean. IEEE Trans. Knowl. Data Eng. 34(10): 4812-4825 (2022) - [j267]Xueyuan Xu, Xia Wu, Fulin Wei, Wei Zhong, Feiping Nie:
A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization. IEEE Trans. Knowl. Data Eng. 34(11): 5056-5069 (2022) - [j266]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): 1702-1713 (2022) - [j265]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2842-2852 (2022) - [j264]Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li:
Fast Unsupervised Projection for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3634-3644 (2022) - [j263]Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Fast Self-Supervised Clustering With Anchor Graph. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4199-4212 (2022) - [j262]Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li:
A Novel Formulation of Trace Ratio Linear Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5568-5578 (2022) - [j261]Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Unsupervised Adaptive Embedding for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6844-6855 (2022) - [j260]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): 7944-7950 (2022) - [j259]Chen Zhao, Wu Gao, Feiping Nie, Huiyang Zhou:
A Survey of GPU Multitasking Methods Supported by Hardware Architecture. IEEE Trans. Parallel Distributed Syst. 33(6): 1451-1463 (2022) - [c217]Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li:
Scalable Multiple Kernel k-means Clustering. CIKM 2022: 4279-4283 - [c216]Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li:
Self-Paced and Discrete Multiple Kernel k-Means. CIKM 2022: 4284-4288 - [c215]Jitao Lu, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li:
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation. ICASSP 2022: 4143-4147 - [c214]Yihang Lu, Jitao Lu,