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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
- 2025
[j548]Peican Zhu
, Xin Hou, Keke Tang, Zhen Wang, Feiping Nie:
Compactness score: a fast filter method for unsupervised feature selection. Ann. Oper. Res. 348(1): 299-315 (2025)- [j547]Jikui Wang, Huiyu Duan, Cuihong Zhang, Feiping Nie:
A robust self-training algorithm based on relative node graph. Appl. Intell. 55(1): 1 (2025) - [j546]Jikui Wang, Wei Zhao, Qingsheng Shang, Feiping Nie:
A parameter-free self-training algorithm based on the three successive confirmation rule. Eng. Appl. Artif. Intell. 144: 110165 (2025) - [j545]Huimin Chen, Runxin Zhang, Yu Duan, Rong Wang, Feiping Nie:
Fast multi-view clustering via anchor label transmit with tensor structure constraint. Expert Syst. Appl. 274: 126878 (2025) - [j544]Runxin Zhang, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li:
Anchor-based fast spectral ensemble clustering. Inf. Fusion 113: 102587 (2025) - [j543]Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie:
Multi-view clustering via high-order bipartite graph fusion. Inf. Fusion 113: 102630 (2025) - [j542]Jie Zhou, Feiping Nie, Xinglong Luo, Xingshi He:
Hierarchical bipartite graph based multi-view subspace clustering. Inf. Fusion 117: 102821 (2025) - [j541]Yu Duan, Zhanxuan Hu, Rong Wang, Zhensheng Sun, Feiping Nie, Xuelong Li:
Mutual-support generalized category discovery. Inf. Fusion 119: 103020 (2025) - [j540]Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie:
A novel linear discriminant analysis based on alternate ratio sum minimization. Inf. Sci. 689: 121444 (2025) - [j539]Xiaojun Yang, Weihao Zhao, Jing Wang, Siyuan Peng, Feiping Nie:
Auto-weighted Graph Reconstruction for efficient ensemble clustering. Inf. Sci. 689: 121486 (2025) - [j538]Xinyi Fan, Weizhong Yu, Feiping Nie, Xuelong Li:
Fast semi-supervised classification based on anchor graph. Inf. Sci. 699: 121786 (2025) - [j537]Jikui Wang, Cuihong Zhang, Wei Zhao, Xueyan Huang, Feiping Nie:
Fast anchor graph optimized projections with principal component analysis and entropy regularization. Inf. Sci. 699: 121797 (2025) - [j536]Libo Yang, Dawei Zhu, Xuemei Liu, Feiping Nie:
RDFS-TDC: Robust discriminant feature selection based on improved trace difference criterion. Inf. Sci. 705: 121940 (2025) - [j535]Yunlong Gao, Qinting Wu, Zhenghong Xu, Jinyan Pan, Guifang Shao, Qingyuan Zhu, Feiping Nie:
Diversity-induced fuzzy clustering with Laplacian regularization. Inf. Sci. 715: 122225 (2025) - [j534]Haorui Xiang, Zhichang Wu, Rong Wang, Feiping Nie, Xuelong Li:
Robust support vector ordinal regression. Inf. Sci. 717: 122277 (2025) - [j533]Peilin Jiang, Junnan Cao, Weizhong Yu, Feiping Nie:
A robust entropy regularized K-means clustering algorithm for processing noise in datasets. Neural Comput. Appl. 37(9): 6617-6632 (2025) - [j532]Xiao-Jun Yang, Yang-Hui Wu, Zhi-Hao Zhang, Jing Wang, Feiping Nie:
Multitype view of knowledge contrastive learning for recommendation. Neural Networks 181: 106690 (2025) - [j531]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) - [j530]Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li:
Fast Co-clustering via Anchor-guided Label Spreading. Neural Networks 185: 107187 (2025) - [j529]Xiaojun Yang, Bin Li, Weihao Zhao, Sha Xu, Jingjing Xue, Feiping Nie:
Fast self-supervised discrete graph clustering with ensemble local cluster constraints. Neural Networks 188: 107421 (2025) - [j528]Qianyao Qiang, Bin Zhang, Chen Jason Zhang, Feiping Nie:
Adaptive bigraph-based multi-view unsupervised dimensionality reduction. Neural Networks 188: 107424 (2025) - [j527]Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li:
Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 2055-2070 (2025) - [j526]Feiping Nie, Runxin Zhang, Weizhong Yu, Xuelong Li:
Unconstrained Fuzzy C-Means Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3440-3451 (2025) - [j525]Xiaojun Yang, Tuoji Zhu, Siyuan Peng, Feiping Nie, Zhiping Lin:
Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering. Pattern Recognit. 157: 110933 (2025) - [j524]Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li:
Fast adaptively balanced min-cut clustering. Pattern Recognit. 158: 111027 (2025) - [j523]Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li:
Corrigendum to "Fast adaptively balanced min-cut clustering" [Pattern Recognition 158 (2025) 111027]. Pattern Recognit. 159: 111084 (2025) - [j522]Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie:
Structured multi-view k-means clustering. Pattern Recognit. 160: 111113 (2025) - [j521]Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie:
A Structured Bipartite Graph Learning method for ensemble clustering. Pattern Recognit. 160: 111133 (2025) - [j520]Shenfei Pei, Yuanchen Sun, Feiping Nie, Xudong Jiang, Zengwei Zheng:
Adaptive Graph K-Means. Pattern Recognit. 161: 111226 (2025) - [j519]Xueyuan Xu, Fulin Wei, Tianze Yu, Jinxin Lu, Aomei Liu, Li Zhuo, Feiping Nie, Xia Wu:
Embedded multi-label feature selection via orthogonal regression. Pattern Recognit. 163: 111477 (2025) - [j518]Yunlong Gao, Qinting Wu, Xinjing Wang, Tingting Lin, Jinyan Pan, Chao Cao, Guifang Shao, Qingyuan Zhu, Feiping Nie:
Scaled robust linear embedding with adaptive neighbors preserving. Pattern Recognit. 165: 111625 (2025) - [j517]Xinze Liu, Xiaojun Yang, Jiale Zhang, Jing Wang, Feiping Nie:
Outlier Indicator Based Projection Fuzzy K-Means Clustering for Hyperspectral Image. IEEE Signal Process. Lett. 32: 496-500 (2025) - [j516]Chaodie Liu, Cheng Chang, Feiping Nie:
Self-Weighted Multi-View Fuzzy Clustering With Multiple Graph Learning. IEEE Signal Process. Lett. 32: 1585-1589 (2025) - [j515]Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie:
Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. IEEE Trans. Circuits Syst. Video Technol. 35(3): 2616-2631 (2025) - [j514]Zhe Cao, Yihang Lu, Jinghui Yuan, Haonan Xin, Rong Wang, Feiping Nie:
Tensorized Graph Learning for Spectral Ensemble Clustering. IEEE Trans. Circuits Syst. Video Technol. 35(3): 2662-2674 (2025) - [j513]Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie:
Fuzzy Min-Cut With Soft Balancing Effects. IEEE Trans. Fuzzy Syst. 33(2): 767-778 (2025) - [j512]Zhe Cao, Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Mathieu Sebilo:
Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j511]Wei Wang, Hanyang Li, Cong Wang, Chao Huang, Zhengming Ding, Feiping Nie, Xiaochun Cao:
Deep Label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation. IEEE Trans. Image Process. 34: 1246-1258 (2025) - [j510]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Data Subdivision Based Dual-Weighted Robust Principal Component Analysis. IEEE Trans. Image Process. 34: 1271-1284 (2025) - [j509]Wei Wang, Mengzhu Wang, Chao Huang, Cong Wang, Jie Mu, Feiping Nie, Xiaochun Cao:
Optimal Graph Learning-Based Label Propagation for Cross-Domain Image Classification. IEEE Trans. Image Process. 34: 1529-1544 (2025) - [j508]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fuzzy Weighted Principal Component Analysis for Anomaly Detection. ACM Trans. Knowl. Discov. Data 19(3): 63:1-63:22 (2025) - [j507]Jintang Bian, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie:
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 37(1): 45-59 (2025) - [j506]Feiping Nie, Runxin Zhang, Yu Duan, Rong Wang:
Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model. IEEE Trans. Knowl. Data Eng. 37(2): 979-990 (2025) - [j505]Canyu Zhang, Feiping Nie, Rong Wang:
Anchor Guided Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 37(3): 1079-1090 (2025) - [j504]Jingwei Chen, Zihan Wu, Jingqing Cheng, Xiaohua Xu, Feiping Nie:
Graph Clustering With Harmonic-Maxmin Cut Guidance. IEEE Trans. Knowl. Data Eng. 37(5): 2600-2613 (2025) - [j503]Ben Yang, Xuetao Zhang, Jinghan Wu, Feiping Nie, Fei Wang, Badong Chen:
Scalable Min-Max Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 37(5): 2918-2931 (2025) - [j502]Xuan Zheng, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li:
Structured Graph-Based Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 37(6): 3728-3738 (2025) - [j501]Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li:
Discriminative and Robust Autoencoders for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1622-1636 (2025) - [j500]Yu Duan, Zhoumin Lu, Rong Wang, Xuelong Li, Feiping Nie:
Toward Balance Deep Semisupervised Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2816-2828 (2025) - [j499]Feiping Nie, Han Liu, Rong Wang, Xuelong Li:
Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4879-4892 (2025) - [j498]Ben Yang, Xuetao Zhang, Jinghan Wu, Feiping Nie, Zhiping Lin, Fei Wang, Badong Chen:
Fast Multiview Anchor-Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4947-4958 (2025) - [j497]Mengzhu Wang, Junze Liu, Ge Luo, Shanshan Wang, Wei Wang, Long Lan, Ye Wang, Feiping Nie:
Smooth-Guided Implicit Data Augmentation for Domain Generalization. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4984-4995 (2025) - [j496]Zhengxin Li, Feiping Nie, Rong Wang, Xuelong Li:
A Revised Formation of Trace Ratio LDA for Small Sample Size Problem. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5803-5809 (2025) - [j495]Xia Dong, Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li:
Joint Structured Bipartite Graph and Row-Sparse Projection for Large-Scale Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6911-6924 (2025) - [j494]Xiaowei Zhao, Dongming Wu, Feiping Nie, Weizhong Yu, Chen Zhao, Xuelong Li:
Nonlinear Locality-Preserving Projections With Dynamic Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7225-7236 (2025) - [j493]Yidan Ma, Xinjie Shen, Danyang Wu, Jianfu Cao, Feiping Nie:
Cross-View Approximation on Grassmann Manifold for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7772-7777 (2025) - [c234]Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie:
Language Pre-training Guided Masking Representation Learning for Time Series Classification. AAAI 2025: 12631-12639 - [i59]Fangyuan Xie, Jinghui Yuan, Feiping Nie, Xuelong Li:
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering. CoRR abs/2501.18143 (2025) - [i58]Jinghui Yuan, Fangyuan Xie, Feiping Nie, Xuelong Li:
Riemannian Optimization on Relaxed Indicator Matrix Manifold. CoRR abs/2503.20505 (2025) - 2024
- [j492]Jian Yang, Mengchen Dong, Chuanxiang Li, Feiping Nie:
YOLO-RDFEA: Object Detection in RD Imagery With Improved YOLOv8 Based on Feature Enhancement and Attention Mechanisms. IEEE Access 12: 158226-158238 (2024) - [j491]Jihai Yi, Huiyu Duan, Jikui Wang, Zhengguo Yang, Feiping Nie:
Structure preserved fast dimensionality reduction. Appl. Soft Comput. 162: 111817 (2024) - [j490]Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong:
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. J. Classif. 41(1): 129-157 (2024) - [j489]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) - [j488]Jikui Wang, Yiwen Wu, Xueyan Huang, Cuihong Zhang, Feiping Nie:
Projected fuzzy c-means clustering algorithm with instance penalty. Expert Syst. Appl. 255: 124563 (2024) - [j487]Yunlong Gao, Zhenghong Xu, Feiping Nie, Yisong Zhang, Qingyuan Zhu, Guifang Shao:
Joint Projected Fuzzy Neighborhood Preserving C-means Clustering with Local Adaptive Learning. Expert Syst. Appl. 255: 124617 (2024) - [j486]Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li:
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570: 127102 (2024) - [j485]Ben Yang, Zhiyuan Xue, Jinghan Wu, Xuetao Zhang, Feiping Nie, Badong Chen:
Anchor-graph regularized orthogonal concept factorization for document clustering. Neurocomputing 573: 127173 (2024) - [j484]Jingyu Wang, Cheng Chen, Feiping Nie, Xuelong Li:
Discriminative and robust least squares regression for semi-supervised image classification. Neurocomputing 575: 127316 (2024) - [j483]Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
Harmonic cut: An efficient and directly solved balanced graph clustering. Neurocomputing 578: 127381 (2024) - [j482]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) - [j481]Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
New approach for learning structured graph with Laplacian rank constraint. Neurocomputing 598: 128065 (2024) - [j480]Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Top-k discriminative feature selection with uncorrelated and ℓ2, 0-norm equation constraints. Neurocomputing 598: 128069 (2024) - [j479]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) - [j478]Ben Yang, Jinghan Wu, Xuetao Zhang, Xinhu Zheng, Feiping Nie, Badong Chen:
Discrete correntropy-based multi-view anchor-graph clustering. Inf. Fusion 103: 102097 (2024) - [j477]Qingsong Hu, Huafeng Li, Zhanxuan Hu, Feiping Nie:
Diverse semantic information fusion for Unsupervised Person Re-Identification. Inf. Fusion 107: 102319 (2024) - [j476]Jintang Bian, Xiaohua Xie, Jian-Huang Lai, Feiping Nie:
Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement. Inf. Fusion 108: 102393 (2024) - [j475]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) - [j474]Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie:
Prediction consistency regularization for Generalized Category Discovery. Inf. Fusion 112: 102547 (2024) - [j473]Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li:
Robust autoencoder feature selector for unsupervised feature selection. Inf. Sci. 660: 120121 (2024) - [j472]Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang:
Local sparse discriminative feature selection. Inf. Sci. 662: 120214 (2024) - [j471]Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie:
Neural collapse inspired semi-supervised learning with fixed classifier. Inf. Sci. 667: 120469 (2024) - [j470]Xiaojun Yang, Weihao Zhao, Yuxiong Xu, Chang-Dong Wang, Bin Li, Feiping Nie:
Sparse K-means clustering algorithm with anchor graph regularization. Inf. Sci. 667: 120504 (2024) - [j469]Jingwei Chen, Shiyu Xie, Hui Yang, Feiping Nie:
Effective semi-supervised graph clustering with pairwise constraints. Inf. Sci. 681: 121249 (2024) - [j468]Ben Yang, Jinghan Wu, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen:
Fast correntropy-based multi-view clustering with prototype graph factorization. Inf. Sci. 681: 121256 (2024) - [j467]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) - [j466]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) - [j465]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) - [j464]Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li:
Fast Clustering With Anchor Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1898-1912 (2024) - [j463]Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li:
Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5479-5492 (2024) - [j462]Danyang Wu, Zhenkun Yang, Jitao Lu, Jin Xu, Xiangmin Xu, Feiping Nie:
EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7878-7892 (2024) - [j461]Yunlong Gao, Xinjing Wang, Jiaxin Xie, Jinyan Pan, Peng Yan, Feiping Nie:
Robust Principal Component Analysis Based on Fuzzy Local Information Reservation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9321-9337 (2024) - [j460]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) - [j459]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) - [j458]Jikui Wang, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie:
Fast anchor graph preserving projections. Pattern Recognit. 146: 109996 (2024) - [j457]Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie:
Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction. Pattern Recognit. 146: 110062 (2024) - [j456]Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu:
Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognit. 147: 110082 (2024) - [j455]Ben Yang, Jinghan Wu, Yu Zhou, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen:
Robust spectral embedded bilateral orthogonal concept factorization for clustering. Pattern Recognit. 150: 110308 (2024) - [j454]Jingyu Wang, Hengheng Yin, Feiping Nie, Xuelong Li:
Adaptive and fuzzy locality discriminant analysis for dimensionality reduction. Pattern Recognit. 151: 110382 (2024) - [j453]Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li:
Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognit. 151: 110389 (2024) - [j452]Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Zonghui Wang:
Spectral clustering with linear embedding: A discrete clustering method for large-scale data. Pattern Recognit. 151: 110396 (2024) - [j451]Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie:
Interactive Supervision for New Intent Discovery. IEEE Signal Process. Lett. 31: 1680-1684 (2024) - [j450]Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li:
Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Trans. Cybern. 54(4): 2420-2433 (2024) - [j449]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) - [j448]Jingjing Xue, Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li:
Co-Clustering by Directly Solving Bipartite Spectral Graph Partitioning. IEEE Trans. Cybern. 54(12): 7590-7601 (2024) - [j447]Jingyu Wang, Shengzhao Guo, Feiping Nie, Xuelong Li:
Local-Global Fuzzy Clustering With Anchor Graph. IEEE Trans. Fuzzy Syst. 32(1): 188-202 (2024) - [j446]Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li:
Multiview Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 32(3): 755-766 (2024) - [j445]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) - [j444]Jingyu Wang, Xinru Zhang, Feiping Nie, Xuelong Li:
Robust Discriminant Embedding Projection Fuzzy Clustering With Optimal Mean. IEEE Trans. Fuzzy Syst. 32(10): 5924-5938 (2024) - [j443]Runxin Zhang, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
Unsupervised Deep Embedding for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 32(12): 6744-6753 (2024) - [j442]Yunlong Gao, Qinting Wu, Zhenghong Xu, Chao Cao, Jinyan Pan, Guifang Shao, Feiping Nie, Qingyuan Zhu:
Principal Component Analysis With Fuzzy Elastic Net for Feature Selection. IEEE Trans. Fuzzy Syst. 32(12): 6878-6890 (2024) - [j441]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) - [j440]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) - [j439]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) - [j438]Yunlong Gao, Yuzhe Feng, Youwei Xie, Jinyan Pan, Feiping Nie:
Normalized Robust PCA With Adaptive Reconstruction Error Minimization. IEEE Trans. Knowl. Data Eng. 36(6): 2587-2599 (2024) - [j437]Yun Liang, Yijin Chen, Qiong Huang, Haoming Chen, Feiping Nie:
An Effective Optimization Method for Fuzzy $k$k-Means With Entropy Regularization. IEEE Trans. Knowl. Data Eng. 36(7): 2846-2861 (2024) - [j436]Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li:
Row-Sparse Principal Component Analysis via Coordinate Descent Method. IEEE Trans. Knowl. Data Eng. 36(7): 3460-3471 (2024) - [j435]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) - [j434]Xiaojun Yang, Tuoji Zhu, Danyang Wu, Penglei Wang, Yujia Liu, Feiping Nie:
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(11): 5675-5680 (2024) - [j433]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) - [j432]Jie Mu, Feiping Nie, Wei Wang, Jian Xu, Jing Zhang, Han Liu:
MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 36(12): 8787-8800 (2024) - [j431]Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j430]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) - [j429]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) - [j428]Feiping Nie, Hong Chen, Shiming Xiang, Changshui Zhang, Shuicheng Yan, Xuelong Li:
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5710-5720 (2024) - [j427]Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Generalized and Robust Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7006-7020 (2024) - [j426]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) - [j425]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) - [j424]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) - [j423]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) - [j422]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) - [j421]Feiping Nie, Zhenyu Ma, Jingyu Wang, Xuelong Li:
Fast Sparse Discriminative K-Means for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9943-9957 (2024) - [j420]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) - [j419]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) - [j418]Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie, Fei Wang:
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13354-13367 (2024) - [j417]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) - [j416]Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Efficient Discrete Clustering With Anchor Graph. IEEE Trans. Neural Networks Learn. Syst. 35(10): 15012-15020 (2024) - [j415]Jingwei Chen, Shiyu Xie, Hongyun Jiang, Hui Yang, Feiping Nie:
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15142-15155 (2024) - [j414]Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li:
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17650-17661 (2024) - [j413]Hebing Nie, Qi Li, Zheng Wang, Haifeng Zhao, Feiping Nie:
Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18105-18119 (2024) - [j412]Zheng Wang, Yongjin Yuan, Rong Wang, Feiping Nie, Qinghua Huang, Xuelong Li:
Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18605-18619 (2024) - [j411]Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang:
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18784-18798 (2024) - [j410]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) - [c233]Feiping Nie, Zhezheng Hao, Rong Wang:
Multi-Class Support Vector Machine with Maximizing Minimum Margin. AAAI 2024: 14466-14473 - [c232]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 - [c231]Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang:
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning. ICASSP 2024: 6340-6344 - [c230]Xin Qi, Han Zhang, Feiping Nie:
Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework. ICASSP 2024: 6895-6899 - [c229]Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu:
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View. ICLR 2024 - [c228]Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie:
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. IJCAI 2024: 4955-4963 - [c227]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 - [c226]Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie:
Simple Multigraph Convolution Networks. WWW (Companion Volume) 2024: 794-797 - [i57]Xueyuan Xu, Fulin Wei, Tianyuan Jia, Li Zhuo, Feiping Nie, Xia Wu:
Embedded Multi-label Feature Selection via Orthogonal Regression. CoRR abs/2403.00307 (2024) - [i56]Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie:
Simple Multigraph Convolution Networks. CoRR abs/2403.05014 (2024) - [i55]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) - [i54]Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li:
Adaptive Fuzzy C-Means with Graph Embedding. CoRR abs/2405.13427 (2024) - [i53]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) - [i52]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) - [i51]Yongbo Yu, Weizhong Yu, Feiping Nie, Xuelong Li:
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting. CoRR abs/2408.10483 (2024) - [i50]Jinghui Yuan, Hao Chen, Renwei Luo, Feiping Nie:
A Margin-Maximizing Fine-Grained Ensemble Method. CoRR abs/2409.12849 (2024) - [i49]Feiping Nie, Yitao Song, Jingjing Xue, Rong Wang, Xuelong Li:
Clustering Based on Density Propagation and Subcluster Merging. CoRR abs/2411.01780 (2024) - [i48]Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li:
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method. CoRR abs/2411.01792 (2024) - [i47]Feiping Nie, Shenfei Pei, Zengwei Zheng, Rong Wang, Xuelong Li:
A Greedy Strategy for Graph Cut. CoRR abs/2412.20035 (2024) - 2023
- [j409]He Xiong, Deguang Kong, Feiping Nie:
Cauchy balanced nonnegative matrix factorization. Artif. Intell. Rev. 56(10): 11867-11903 (2023) - [j408]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) - [j407]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) - [j406]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Max-Min Robust Principal Component Analysis. Neurocomputing 521: 89-98 (2023) - [j405]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) - [j404]Jianyong Zhu, Jingwei Chen, Bin Xu, Hui Yang, Feiping Nie:
Fast orthogonal locality-preserving projections for unsupervised feature selection. Neurocomputing 531: 100-113 (2023) - [j403]Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Feature selection with multi-class logistic regression. Neurocomputing 543: 126268 (2023) - [j402]Qianyao Qiang, Bin Zhang, Feiping Nie, Fei Wang:
Multi-view semi-supervised learning with adaptive graph fusion. Neurocomputing 557: 126685 (2023) - [j401]Jingyu Wang, Xinru Zhang, Feiping Nie, Xuelong Li:
Enhanced Robust Fuzzy K-Means Clustering joint ℓ0-norm constraint. Neurocomputing 561: 126842 (2023) - [j400]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Sparse robust subspace learning via boolean weight. Inf. Fusion 96: 224-236 (2023) - [j399]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) - [j398]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) - [j397]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Calibrated multi-task subspace learning via binary group structure constraint. Inf. Sci. 631: 271-287 (2023) - [j396]Mingyu Zhao, Weidong Yang, Feiping Nie:
Auto-weighted orthogonal and nonnegative graph reconstruction for multi-view clustering. Inf. Sci. 632: 324-339 (2023) - [j395]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) - [j394]Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie:
Fast spectral clustering with self-adapted bipartite graph learning. Inf. Sci. 644: 118810 (2023) - [j393]Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li:
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means. Inf. Sci. 644: 118878 (2023) - [j392]Mingyu Zhao, Weidong Yang, Feiping Nie:
MVCformer: A transformer-based multi-view clustering method. Inf. Sci. 649: 119622 (2023) - [j391]Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li:
Fast neighborhood reconstruction with adaptive weights learning. Knowl. Based Syst. 259: 110082 (2023) - [j390]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) - [j389]Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie:
Mutual-Taught Deep Clustering. Knowl. Based Syst. 282: 111100 (2023) - [j388]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) - [j387]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) - [j386]Mingyu Zhao, Weidong Yang, Feiping Nie:
Deep graph reconstruction for multi-view clustering. Neural Networks 168: 560-568 (2023) - [j385]Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li:
Centerless Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 167-181 (2023) - [j384]Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Learning Feature-Sparse Principal Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4858-4869 (2023) - [j383]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) - [j382]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) - [j381]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) - [j380]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) - [j379]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) - [j378]Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie:
Robust weighted co-clustering with global and local discrimination. Pattern Recognit. 138: 109405 (2023) - [j377]Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li:
Sparse feature selection via fast embedding spectral analysis. Pattern Recognit. 139: 109472 (2023) - [j376]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Elaborate multi-task subspace learning with discrete group constraint. Pattern Recognit. 139: 109515 (2023) - [j375]Ziheng Li, Feiping Nie, Rong Wang, Xuelong Li:
Robust rank-one matrix completion with rank estimation. Pattern Recognit. 142: 109637 (2023) - [j374]Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie:
Simultaneous local clustering and unsupervised feature selection via strong space constraint. Pattern Recognit. 142: 109718 (2023) - [j373]Mingyu Zhao, Weidong Yang, Feiping Nie:
Deep multi-view spectral clustering via ensemble. Pattern Recognit. 144: 109836 (2023) - [j372]Jingyu Wang, Yidi Wang, Feiping Nie, Xuelong Li:
Discriminative projection fuzzy K-Means with adaptive neighbors. Pattern Recognit. Lett. 176: 21-27 (2023) - [j371]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) - [j370]Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie:
Self-Weighted Euler $k$-Means Clustering. IEEE Signal Process. Lett. 30: 1127-1131 (2023) - [j369]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) - [j368]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) - [j367]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) - [j366]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) - [j365]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) - [j364]Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu:
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1687-1701 (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) - [c225]Lei Xu, Rong Wang, Feiping Nie, Xuelong Li:
Efficient Top-K Feature Selection Using Coordinate Descent Method. AAAI 2023: 10594-10601 - [c224]Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-View K-Means with Laplacian Embedding. ICASSP 2023: 1-5 - [c223]Yongjin Yuan, Zheng Wang, Feiping Nie, Xuelong Li:
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint. ICASSP 2023: 1-5 - [c222]Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li:
Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction. ICASSP 2023: 1-5 - [c221]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 - [c220]Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie:
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion. ACM Multimedia 2023: 3268-3276 - [c219]Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li:
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy. NeurIPS 2023 - [c218]Mingyu Zhao, Weidong Yang, Feiping Nie:
Transformer-Based Contrastive Multi-view Clustering via Ensembles. ECML/PKDD (1) 2023: 678-694 - [i46]Bo Jiang, Fei Xu, Ziyan Zhang, Jin Tang, Feiping Nie:
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer. CoRR abs/2305.07521 (2023) - [i45]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) - [i44]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) - [i43]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) - [i42]Feiping Nie, Zhezheng Hao, Rong Wang:
Multi-class Support Vector Machine with Maximizing Minimum Margin. CoRR abs/2312.06578 (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, Rong Wang, Feiping Nie:
Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning. ICASSP 2022: 4153-4157 - [c213]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: 4934-4940 - [c212]Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan:
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion. IJCAI 2022: 3566-3572 - [i41]Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie:
Adaptive neighborhood Metric learning. CoRR abs/2201.08314 (2022) - [i40]Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen:
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges. CoRR abs/2204.04859 (2022) - [i39]Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu:
Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework. CoRR abs/2211.02883 (2022) - [i38]Feiping Nie, Hong Chen, Rong Wang, Xuelong Li:
On the Global Solution of Soft k-Means. CoRR abs/2212.03589 (2022) - 2021
- [j258]Yuan Yuan, Xin Li, Qi Wang, Feiping Nie:
A semi-supervised learning algorithm via adaptive Laplacian graph. Neurocomputing 426: 162-173 (2021) - [j257]Zhiwei Xing, Yingcang Ma, Xiaofei Yang, Feiping Nie:
Graph regularized nonnegative matrix factorization with label discrimination for data clustering. Neurocomputing 440: 297-309 (2021) - [j256]Danyang Wu, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li:
Multi-view clustering with interactive mechanism. Neurocomputing 449: 378-388 (2021) - [j255]Rongxiu Lu, Yingjie Cai, Jianyong Zhu, Feiping Nie, Hui Yang:
Dimension reduction of multimodal data by auto-weighted local discriminant analysis. Neurocomputing 461: 27-40 (2021) - [j254]Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li:
An Efficient Density-based clustering algorithm for face groping. Neurocomputing 462: 331-343 (2021) - [j253]Han Zhang, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection. Inf. Fusion 70: 129-140 (2021) - [j252]Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang:
Adaptive discriminant analysis for semi-supervised feature selection. Inf. Sci. 566: 178-194 (2021) - [j251]Yong Peng, Xin Zhu, Feiping Nie, Wanzeng Kong, Yuan Ge:
Fuzzy graph clustering. Inf. Sci. 571: 38-49 (2021) - [j250]Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Matrix completion with column outliers and sparse noise. Inf. Sci. 573: 125-140 (2021) - [j249]Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fast local representation learning via adaptive anchor graph for image retrieval. Inf. Sci. 578: 870-886 (2021) - [j248]Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang, Xuelong Li:
Learning to hash based on angularly discriminative embedding. Inf. Sci. 579: 541-552 (2021) - [j247]Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming:
Learning unsupervised node representation from multi-view network. Inf. Sci. 579: 700-716 (2021) - [j246]Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang:
Generalization bottleneck in deep metric learning. Inf. Sci. 581: 249-261 (2021) - [j245]Ke Liang, Xiaojun Yang, Yuxiong Xu, Rong Wang, Feiping Nie:
Ratio sum formula for dimensionality reduction. Multim. Tools Appl. 80(3): 4367-4382 (2021) - [j244]Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Low Rank Regularization: A review. Neural Networks 136: 218-232 (2021) - [j243]Zhongheng Li, Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie:
Flexible multi-view semi-supervised learning with unified graph. Neural Networks 142: 92-104 (2021) - [j242]Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li:
Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2086-2100 (2021) - [j241]Zhen Wang, Zhaoqing Li, Rong Wang, Feiping Nie, Xuelong Li:
Large Graph Clustering With Simultaneous Spectral Embedding and Discretization. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4426-4440 (2021) - [j240]Kun Song, Xiwen Yao, Feiping Nie, Xuelong Li, Mingliang Xu:
Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering. Pattern Recognit. 109: 107560 (2021) - [j239]Zheng Wang, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li:
Local structured feature learning with dynamic maximum entropy graph. Pattern Recognit. 111: 107673 (2021) - [j238]Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang:
Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognit. 120: 108125 (2021) - [j237]Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Joint nonlinear feature selection and continuous values regression network. Pattern Recognit. Lett. 150: 197-206 (2021) - [j236]Danyang Wu, Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li:
Multi-Directional Multi-Label Learning. Signal Process. 187: 108143 (2021) - [j235]Ziheng Li, Danyang Wu, Feiping Nie, Rong Wang, Zhensheng Sun, Xuelong Li:
Multi-View Clustering Based on Invisible Weights. IEEE Signal Process. Lett. 28: 1051-1055 (2021) - [j234]Hong Chen, Feiping Nie, Rong Wang, Xuelong Li:
Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction. IEEE Signal Process. Lett. 28: 2162-2166 (2021) - [j233]Fang He, Feiping Nie, Rong Wang, Weimin Jia, Fenggan Zhang, Xuelong Li:
Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10298-10311 (2021) - [j232]Qi Wang, Zequn Qin, Feiping Nie, Xuelong Li:
C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction. IEEE Trans. Ind. Electron. 68(2): 1684-1694 (2021) - [j231]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki:
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j230]Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang, Weizhong Yu, Rong Wang:
Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization. IEEE Trans. Image Process. 30: 2575-2586 (2021) - [j229]Bin Zhang, Qianyao Qiang, Fei Wang, Feiping Nie:
Flexible Multi-View Unsupervised Graph Embedding. IEEE Trans. Image Process. 30: 4143-4156 (2021) - [j228]Feiping Nie, Lai Tian, Heng Huang, Chris Ding:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. 30: 5277-5286 (2021) - [j227]Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie:
Fast Manifold Ranking With Local Bipartite Graph. IEEE Trans. Image Process. 30: 6744-6756 (2021) - [j226]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-weighted Robust LDA for Multiclass Classification with Edge Classes. ACM Trans. Intell. Syst. Technol. 12(1): 4:1-4:19 (2021) - [j225]Feiping Nie, Wei Zhu, Xuelong Li:
Structured Graph Optimization for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 33(3): 1210-1222 (2021) - [j224]Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang:
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning. IEEE Trans. Knowl. Data Eng. 33(3): 1276-1290 (2021) - [j223]Junwei Han, Kai Xiong, Feiping Nie, Xuelong Li:
Structured Graph Reconstruction for Scalable Clustering. IEEE Trans. Knowl. Data Eng. 33(5): 2252-2265 (2021) - [j222]Fang He, Feiping Nie, Rong Wang, Haojie Hu, Weimin Jia, Xuelong Li:
Fast Semi-Supervised Learning With Optimal Bipartite Graph. IEEE Trans. Knowl. Data Eng. 33(9): 3245-3257 (2021) - [j221]Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Feiping Nie:
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. IEEE Trans. Medical Imaging 40(3): 891-904 (2021) - [j220]Chen Zhao, Wu Gao, Feiping Nie:
A Resource-Efficient Parallel Connected Component Labeling Algorithm and Its Hardware Implementation. IEEE Trans. Multim. 23: 4184-4197 (2021) - [j219]Feiping Nie, Xia Dong, Xuelong Li:
Unsupervised and Semisupervised Projection With Graph Optimization. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1547-1559 (2021) - [j218]Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie:
Supervised Feature Selection With Orthogonal Regression and Feature Weighting. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1831-1838 (2021) - [c211]Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie:
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. AAAI 2021: 522-530 - [c210]Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie:
Fast Multi-view Discrete Clustering with Anchor Graphs. AAAI 2021: 9360-9367 - [c209]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
New Tight Relaxations of Rank Minimization for Multi-Task Learning. CIKM 2021: 2910-2914 - [c208]Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li:
A Rank-Constrained Clustering Algorithm with Adaptive Embedding. ICASSP 2021: 2845-2849 - [c207]Feiping Nie, Wei Chang, Xuelong Li, Jin Xu, Gongfu Li:
Adaptive Feature Weight Learning For Robust Clustering Problem with Sparse Constraint. ICASSP 2021: 3125-3129 - [c206]Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Fast Local Representation Learning with Adaptive Anchor Graph. ICASSP 2021: 3170-3174 - [c205]Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Dependence-Guided Multi-View Clustering. ICASSP 2021: 3650-3654 - [c204]Xiaoqian Wang, Feiping Nie:
Multi-Task Learning Via Sharing Inexact Low-Rank Subspace. ICASSP 2021: 3690-3694 - [c203]Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li:
Discrete Multiple Kernel k-means. IJCAI 2021: 3111-3117 - [c202]Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li:
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data. IJCAI 2021: 3185-3191 - [c201]Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. WISE (1) 2021: 129-142 - [i37]Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li:
Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery. CoRR abs/2101.01976 (2021) - [i36]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
New Tight Relaxations of Rank Minimization for Multi-Task Learning. CoRR abs/2112.04734 (2021) - 2020
- [j217]Libo Yang, Xuemei Liu, Feiping Nie, Yang Liu:
Robust and Efficient Linear Discriminant Analysis With L2, 1-Norm for Feature Selection. IEEE Access 8: 44100-44110 (2020) - [j216]Hui Yang, Han Peng, Jianyong Zhu, Feiping Nie:
Co-Clustering Ensemble Based on Bilateral K-Means Algorithm. IEEE Access 8: 51285-51294 (2020) - [j215]Tong Wu, Yanni Xiao, Muhan Guo, Feiping Nie:
A General Framework for Dimensionality Reduction of K-Means Clustering. J. Classif. 37(3): 616-631 (2020) - [j214]Chen Zhao, Wu Gao, Feiping Nie, Fei Wang, Huiyang Zhou:
Fair and cache blocking aware warp scheduling for concurrent kernel execution on GPU. Future Gener. Comput. Syst. 112: 1093-1105 (2020) - [j213]De-Yan Xie, Feiping Nie, Quanxue Gao, Song Xiao:
Fast algorithm for large-scale subspace clustering by LRR. IET Image Process. 14(8): 1475-1480 (2020) - [j212]Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen:
Enhanced Balanced Min Cut. Int. J. Comput. Vis. 128(7): 1982-1995 (2020) - [j211]Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang, Zhongheng Li:
A forest of trees with principal direction specified oblique split on random subspace. Neurocomputing 379: 413-425 (2020) - [j210]Haifeng Zhao, Bowen Zhang, Zheng Wang, Feiping Nie:
Multiclass discriminant analysis via adaptive weighted scheme. Neurocomputing 381: 1-9 (2020) - [j209]Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang, Xuelong Li:
Multi-view spectral clustering via sparse graph learning. Neurocomputing 384: 1-10 (2020) - [j208]Yijun Liu, Yongda Cai, Xiaojun Yang, Feiping Nie, Wujian Ye:
Fast adaptive neighbors clustering via embedded clustering. Neurocomputing 399: 331-341 (2020) - [j207]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Auto-weighted multi-view clustering via spectral embedding. Neurocomputing 399: 369-379 (2020) - [j206]Feiping Nie, Wei Zhu, Xuelong Li:
Decision Tree SVM: An extension of linear SVM for non-linear classification. Neurocomputing 401: 153-159 (2020) - [j205]Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding. Inf. Fusion 55: 251-259 (2020) - [j204]Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang, Feiping Nie:
Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance. J. Comput. Biol. 27(4): 655-672 (2020) - [j203]Muhammad Adnan Ashraf, Rao Muhammad Adeel Nawab, Feiping Nie:
A study of deep learning methods for same-genre and cross-genre author profiling. J. Intell. Fuzzy Syst. 39(2): 2353-2363 (2020) - [j202]Muhammad Adnan Ashraf, Rao Muhammad Adeel Nawab, Feiping Nie:
Author profiling on bi-lingual tweets. J. Intell. Fuzzy Syst. 39(2): 2379-2389 (2020) - [j201]De-Yan Xie, Feiping Nie, Quanxue Gao:
On the optimal solution to maximum margin projection pursuit. Multim. Tools Appl. 79(47): 35441-35461 (2020) - [j200]Qi Wang, Mulin Chen, Feiping Nie, Xuelong Li:
Detecting Coherent Groups in Crowd Scenes by Multiview Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 46-58 (2020) - [j199]Feiping Nie, Shaojun Shi, Xuelong Li:
Auto-weighted multi-view co-clustering via fast matrix factorization. Pattern Recognit. 102: 107207 (2020) - [j198]Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Fuji Ren:
A linear multivariate binary decision tree classifier based on K-means splitting. Pattern Recognit. 107: 107521 (2020) - [j197]Xiaojun Yang, Weizhong Yu, Rong Wang, Guohao Zhang, Feiping Nie:
Fast spectral clustering learning with hierarchical bipartite graph for large-scale data. Pattern Recognit. Lett. 130: 345-352 (2020) - [j196]Rong Wang, Haojie Hu, Fang He, Feiping Nie, Shubin Cai, Zhong Ming:
Self-weighted collaborative representation for hyperspectral anomaly detection. Signal Process. 177: 107718 (2020) - [j195]Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Capped ℓp-Norm LDA for Outliers Robust Dimension Reduction. IEEE Signal Process. Lett. 27: 1315-1319 (2020) - [j194]Danyang Wu, Han Zhang, Feiping Nie, Rong Wang, Chao Yang, Xiaoxue Jia, Xuelong Li:
Double-Attentive Principle Component Analysis. IEEE Signal Process. Lett. 27: 1814-1818 (2020) - [j193]Chen Zhao, Wu Gao, Feiping Nie:
A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3238-3252 (2020) - [j192]Lei Zhang, Ji Liu, Yang Yang, Fuxiang Huang, Feiping Nie, David Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3788-3802 (2020) - [j191]Yanwei Pang, Jin Xie, Feiping Nie, Xuelong Li:
Spectral Clustering by Joint Spectral Embedding and Spectral Rotation. IEEE Trans. Cybern. 50(1): 247-258 (2020) - [j190]Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph. IEEE Trans. Cybern. 50(8): 3682-3695 (2020) - [j189]Rui Zhang, Xuelong Li, Hongyuan Zhang, Feiping Nie:
Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization. IEEE Trans. Fuzzy Syst. 28(11): 2814-2824 (2020) - [j188]Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li:
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 58(9): 6664-6676 (2020) - [j187]Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie:
Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning. IEEE Trans. Image Process. 29: 2139-2149 (2020) - [j186]Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li:
Adaptive Local Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data 14(1): 9:1-9:19 (2020) - [j185]Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming:
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression. IEEE Trans. Knowl. Data Eng. 32(1): 165-176 (2020) - [j184]Feiping Nie, Shaojun Shi, Xuelong Li:
Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph. IEEE Trans. Knowl. Data Eng. 32(6): 1167-1178 (2020) - [j183]Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li:
Multi-View Scaling Support Vector Machines for Classification and Feature Selection. IEEE Trans. Knowl. Data Eng. 32(7): 1419-1430 (2020) - [j182]Rong Wang, Feiping Nie, Zhen Wang, Haojie Hu, Xuelong Li:
Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning. IEEE Trans. Knowl. Data Eng. 32(10): 2014-2025 (2020) - [j181]Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Multiview Semi-Supervised Learning Model for Image Classification. IEEE Trans. Knowl. Data Eng. 32(12): 2389-2400 (2020) - [j180]Cheng Deng, Xu Yang, Feiping Nie, Dapeng Tao:
Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking. IEEE Trans. Multim. 22(4): 885-896 (2020) - [j179]Yuebin Wang, Liqiang Zhang, Feiping Nie, Xingang Li, Zhijun Chen, Faqiang Wang:
WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks. IEEE Trans. Multim. 22(6): 1458-1469 (2020) - [j178]Xiaowei Zhao, Jun Guo, Feiping Nie, Ling Chen, Zhihui Li, Huaxiang Zhang:
Joint Principal Component and Discriminant Analysis for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 31(2): 433-444 (2020) - [j177]Fang He, Feiping Nie, Rong Wang, Xuelong Li, Weimin Jia:
Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 31(2): 626-638 (2020) - [j176]Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang:
LABIN: Balanced Min Cut for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 31(3): 725-736 (2020) - [j175]Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang, Feiping Nie:
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1592-1601 (2020) - [j174]Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie:
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1747-1756 (2020) - [j173]Shuangyan Yi, Zhenyu He, Xiao-Yuan Jing, Yi Li, Yiu-Ming Cheung, Feiping Nie:
Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2153-2163 (2020) - [j172]Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding:
Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3269-3279 (2020) - [j171]Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li:
Self-Weighted Clustering With Adaptive Neighbors. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3428-3441 (2020) - [j170]Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie:
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3754-3759 (2020) - [j169]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Mahesh Prakash, Feiping Nie, Xin Wang, Xiaojiang Chen:
Structured Optimal Graph-Based Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3801-3813 (2020) - [c200]Xuanrong Pang, Xiaojun Chen, Shu Yang, Feiping Nie:
Unsupervised Deep Hashing with Structured Similarity Learning. APWeb/WAIM (2) 2020: 500-514 - [c199]Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie:
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. CVPR 2020: 4826-4835 - [c198]Jikui Wang, Quanfu Shi, Zhengguo Yang, Feiping Nie:
Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint. ICA3PP (2) 2020: 337-351 - [c197]Feiping Nie, Shenfei Pei, Rong Wang, Xuelong Li:
Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification. ICASSP 2020: 2073-2077 - [c196]Cheng-Long Wang, Feiping Nie, Rong Wang, Xuelong Li:
Revisiting Fast Spectral Clustering with Anchor Graph. ICASSP 2020: 3902-3906 - [c195]Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-View Clustering Via Mixed Embedding Approximation. ICASSP 2020: 3977-3981 - [c194]Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie:
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition. ICONIP (5) 2020: 11-20 - [c193]Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. IJCAI 2020: 3009-3015 - [c192]Feiping Nie, Han Zhang, Rong Wang, Xuelong Li:
Semi-supervised Clustering via Pairwise Constrained Optimal Graph. IJCAI 2020: 3160-3166 - [c191]Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li:
Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut. NeurIPS 2020 - [c190]Lai Tian, Feiping Nie, Rong Wang, Xuelong Li:
Learning Feature Sparse Principal Subspace. NeurIPS 2020 - [i35]Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou:
Curriculum Audiovisual Learning. CoRR abs/2001.09414 (2020) - [i34]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multi-view Clustering. CoRR abs/2005.05556 (2020) - [i33]Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. CoRR abs/2007.00767 (2020) - [i32]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes. CoRR abs/2009.12362 (2020) - [i31]Zhengxin Li, Feiping Nie, Jintang Bian, Xuelong Li:
Sparse PCA via $l_{2, p}$-Norm Regularization for Unsupervised Feature Selection. CoRR abs/2012.14595 (2020)
2010 – 2019
- 2019
- [j168]Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie:
Feature Learning Viewpoint of Adaboost and a New Algorithm. IEEE Access 7: 149890-149899 (2019) - [j167]Zhengxin Li, Jiansheng Guo, Hailin Li, Tao Wu, Sheng Mao, Feiping Nie:
Speed Up Similarity Search of Time Series Under Dynamic Time Warping. IEEE Access 7: 163644-163653 (2019) - [j166]Pu Zhang, Siyang Deng, Feiping Nie, Yang Liu, Xiangdong Zhang, Quanxue Gao:
Nuclear-norm based 2DLDA with application to face recognition. Neurocomputing 339: 94-104 (2019) - [j165]Tong Wu, Yicang Zhou, Yanni Xiao, Deanna Needell, Feiping Nie:
Modified fuzzy clustering with segregated cluster centroids. Neurocomputing 361: 10-18 (2019) - [j164]Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li:
An efficient framework for unsupervised feature selection. Neurocomputing 366: 194-207 (2019) - [j163]Rui Zhang, Feiping Nie, Xuelong Li, Xian Wei:
Feature selection with multi-view data: A survey. Inf. Fusion 50: 158-167 (2019) - [j162]Zhengxin Li, Fengming Zhang, Feiping Nie, Hailin Li, Jian Wang:
Speed up dynamic time warpingof multivariate time series. J. Intell. Fuzzy Syst. 36(3): 2593-2603 (2019) - [j161]Haojie Hu, Rong Wang, Xiaojun Yang, Feiping Nie:
Scalable and Flexible Unsupervised Feature Selection. Neural Comput. 31(3) (2019) - [j160]Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao:
Flexible unsupervised feature extraction for image classification. Neural Networks 115: 65-71 (2019) - [j159]Muli Yang, Cheng Deng, Feiping Nie:
Adaptive-weighting discriminative regression for multi-view classification. Pattern Recognit. 88: 236-245 (2019) - [j158]Xinyi Xu, Yanhua Yang, Cheng Deng, Feiping Nie:
Adaptive graph weighting for multi-view dimensionality reduction. Signal Process. 165: 186-196 (2019) - [j157]Suo Qiu, Feiping Nie, Xiangmin Xu, Chunmei Qing, Dong Xu:
Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2786-2795 (2019) - [j156]Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng:
Large-Scale Robust Semisupervised Classification. IEEE Trans. Cybern. 49(3): 907-917 (2019) - [j155]Tingjin Luo, Chenping Hou, Feiping Nie, Dongyun Yi:
Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis. IEEE Trans. Cybern. 49(3): 933-946 (2019) - [j154]Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li:
Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 57(10): 7352-7364 (2019) - [j153]Di Hu, Feiping Nie, Xuelong Li:
Discrete Spectral Hashing for Efficient Similarity Retrieval. IEEE Trans. Image Process. 28(3): 1080-1091 (2019) - [j152]Kun Zhan, Feiping Nie, Jing Wang, Yi Yang:
Multiview Consensus Graph Clustering. IEEE Trans. Image Process. 28(3): 1261-1270 (2019) - [j151]Rui Zhang, Feiping Nie, Muhan Guo, Xian Wei, Xuelong Li:
Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information. IEEE Trans. Image Process. 28(5): 2152-2162 (2019) - [j150]Feiping Nie, Zhanxuan Hu, Xuelong Li:
Matrix Completion Based on Non-Convex Low-Rank Approximation. IEEE Trans. Image Process. 28(5): 2378-2388 (2019) - [j149]Feiping Nie, Sheng Yang, Rui Zhang, Xuelong Li:
A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization. IEEE Trans. Image Process. 28(5): 2428-2438 (2019) - [j148]Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li:
Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning. IEEE Trans. Image Process. 28(5): 2574-2583 (2019) - [j147]Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie:
Discrete Multi-Graph Clustering. IEEE Trans. Image Process. 28(9): 4701-4712 (2019) - [j146]Haifeng Zhao, Zheng Wang, Feiping Nie:
A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 31(4): 629-640 (2019) - [j145]Tianji Pang, Feiping Nie, Junwei Han, Xuelong Li:
Efficient Feature Selection via $\ell _{2, 0}$ℓ2, 0-norm Constrained Sparse Regression. IEEE Trans. Knowl. Data Eng. 31(5): 880-893 (2019) - [j144]Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang:
Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 31(8): 1520-1531 (2019) - [j143]Kun Zhan, Chaoxi Niu, Changlu Chen, Feiping Nie, Changqing Zhang, Yi Yang:
Graph Structure Fusion for Multiview Clustering. IEEE Trans. Knowl. Data Eng. 31(10): 1984-1993 (2019) - [j142]Di Hu, Feiping Nie, Xuelong Li:
Deep Binary Reconstruction for Cross-Modal Hashing. IEEE Trans. Multim. 21(4): 973-985 (2019) - [j141]Xingzhong Du, Feiping Nie, Weiqing Wang, Yi Yang, Xiaofang Zhou:
Exploiting Combination Effect for Unsupervised Feature Selection by ℓ2, 0 Norm. IEEE Trans. Neural Networks Learn. Syst. 30(1): 201-214 (2019) - [j140]Rui Zhang, Feiping Nie, Xuelong Li:
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information. IEEE Trans. Neural Networks Learn. Syst. 30(2): 405-414 (2019) - [j139]Qi Wang, Zequn Qin, Feiping Nie, Xuelong Li:
Spectral Embedded Adaptive Neighbors Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1265-1271 (2019) - [j138]Qi Wang, Jia Wan, Feiping Nie, Bo Liu, Chenggang Yan, Xuelong Li:
Hierarchical Feature Selection for Random Projection. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1581-1586 (2019) - [j137]Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie:
Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1587-1595 (2019) - [j136]Yanwei Pang, Bo Zhou, Feiping Nie:
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2779-2793 (2019) - [j135]Rui Zhang, Feiping Nie, Yunhai Wang, Xuelong Li:
Unsupervised Feature Selection via Adaptive Multimeasure Fusion. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2886-2892 (2019) - [j134]Junwei Han, Hanyang Liu, Feiping Nie:
A Local and Global Discriminative Framework and Optimization for Balanced Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3059-3071 (2019) - [c189]Di Ming, Chris Ding, Feiping Nie:
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. AAAI 2019: 4586-4593 - [c188]Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie:
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis. AAAI 2019: 10083-10084 - [c187]Lai Tian, Feiping Nie, Xuelong Li:
A Unified Weight Learning Paradigm for Multi-view Learning. AISTATS 2019: 2790-2800 - [c186]Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang:
Listen to the Image. CVPR 2019: 7972-7981 - [c185]Di Hu, Feiping Nie, Xuelong Li:
Deep Multimodal Clustering for Unsupervised Audiovisual Learning. CVPR 2019: 9248-9257 - [c184]Sheng Yang, Rui Zhang, Feiping Nie, Xuelong Li:
Unsupervised Feature Selection Based on Reconstruction Error Minimization. ICASSP 2019: 2107-2111 - [c183]Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP 2019: 3107-3111 - [c182]Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP 2019: 3162-3166 - [c181]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP 2019: 3572-3576 - [c180]Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation. ICASSP 2019: 3692-3696 - [c179]Di Hu, Chengze Wang, Feiping Nie, Xuelong Li:
Dense Multimodal Fusion for Hierarchically Joint Representation. ICASSP 2019: 3941-3945 - [c178]Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang:
Worst-Case Discriminative Feature Selection. IJCAI 2019: 2973-2979 - [c177]Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie:
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. IJCAI 2019: 3008-3014 - [c176]Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie:
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. IJCAI 2019: 4040-4046 - [c175]Feiping Nie, Cheng-Long Wang, Xuelong Li:
K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters. KDD 2019: 959-967 - [c174]Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu:
Joint Identification of Network Hub Nodes by Multivariate Graph Inference. MICCAI (3) 2019: 590-598 - [i30]Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie:
Feature Learning Viewpoint of AdaBoost and a New Algorithm. CoRR abs/1904.03953 (2019) - [i29]Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang:
Listen to the Image. CoRR abs/1904.09115 (2019) - [i28]Lai Tian, Feiping Nie, Xuelong Li:
Learning Feature Sparse Principal Components. CoRR abs/1904.10155 (2019) - [i27]Feiping Nie, Jing Li, Xuelong Li:
Intrinsic Weight Learning Approach for Multi-view Clustering. CoRR abs/1906.08905 (2019) - [i26]Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR abs/1907.00211 (2019) - [i25]Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang:
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. CoRR abs/1907.01121 (2019) - [i24]Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li:
Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity. CoRR abs/1908.06699 (2019) - [i23]Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie:
Supervised feature selection with orthogonal regression and feature weighting. CoRR abs/1910.03787 (2019) - 2018
- [j133]Feiping Nie, Zhanxuan Hu, Xuelong Li:
An investigation for loss functions widely used in machine learning. Commun. Inf. Syst. 18(1): 37-52 (2018) - [j132]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. Complex. 2018: 2857594:1-2857594:11 (2018) - [j131]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". Complex. 2018: 6975152:1 (2018) - [j130]Rui Zhang, Feiping Nie, Xuelong Li:
Feature selection under regularized orthogonal least square regression with optimal scaling. Neurocomputing 273: 547-553 (2018) - [j129]Yang Liu, Feiping Nie, Quanxue Gao:
Nuclear-norm based semi-supervised multiple labels learning. Neurocomputing 275: 940-947 (2018) - [j128]Tong Wu, Yicang Zhou, Rui Zhang, Yanni Xiao, Feiping Nie:
Self-weighted discriminative feature selection via adaptive redundancy minimization. Neurocomputing 275: 2824-2830 (2018) - [j127]Xiaoshuang Shi, Feiping Nie, Zhihui Lai, Zhenhua Guo:
Robust principal component analysis via optimal mean by joint ℓ2, 1 and Schatten p-norms minimization. Neurocomputing 283: 205-213 (2018) - [j126]Gongmin Lan, Chenping Hou, Feiping Nie, Tingjin Luo, Dongyun Yi:
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization. Neurocomputing 283: 228-240 (2018) - [j125]Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang:
Efficient tree classifiers for large scale datasets. Neurocomputing 284: 70-79 (2018) - [j124]Zhe Liu, Zhanxuan Hu, Feiping Nie:
Matrix completion and vector completion via robust subspace learning. Neurocomputing 306: 171-181 (2018) - [j123]Yue Song, Yang Liu, Quanxue Gao, Xinbo Gao, Feiping Nie, Rongmei Cui:
Euler Label Consistent K-SVD for image classification and action recognition. Neurocomputing 310: 277-286 (2018) - [j122]Haifeng Zhao, Zheng Wang, Feiping Nie:
Adaptive Neighborhood MinMax Projections. Neurocomputing 313: 155-166 (2018) - [j121]Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang:
Multi-view embedded clustering with unsupervised trace ratio LDA. Neurocomputing 315: 169-176 (2018) - [j120]Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang, Qiang Yu, Xiaojun Yang:
An improved locality preserving projection with ℓ1-norm minimization for dimensionality reduction. Neurocomputing 316: 322-331 (2018) - [j119]Yang Zhao, Yuan Yuan, Feiping Nie, Qi Wang:
Spectral clustering based on iterative optimization for large-scale and high-dimensional data. Neurocomputing 318: 227-235 (2018) - [j118]Weizhong Yu, Feiping Nie, Fei Wang, Rong Wang, Xuelong Li:
Fast and Flexible Large Graph Embedding Based on Anchors. IEEE J. Sel. Top. Signal Process. 12(6): 1465-1475 (2018) - [j117]Haojie Hu, Rong Wang, Feiping Nie, Xiaojun Yang, Weizhong Yu:
Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization. Multim. Tools Appl. 77(17): 22099-22113 (2018) - [j116]Yang Liu, Kaiwen Wen, Quanxue Gao, Xinbo Gao, Feiping Nie:
SVM based multi-label learning with missing labels for image annotation. Pattern Recognit. 78: 307-317 (2018) - [j115]Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li:
Auto-weighted 2-dimensional maximum margin criterion. Pattern Recognit. 83: 220-229 (2018) - [j114]Quanxue Gao, Lan Ma, Yang Liu, Xinbo Gao, Feiping Nie:
Angle 2DPCA: A New Formulation for 2DPCA. IEEE Trans. Cybern. 48(5): 1672-1678 (2018) - [j113]Xiaowei Xue, Feiping Nie, Zhihui Li, Sen Wang, Xue Li, Min Yao:
A Multiview Learning Framework With a Linear Computational Cost. IEEE Trans. Cybern. 48(8): 2416-2425 (2018) - [j112]Yuebin Wang, Liqiang Zhang, Xiaohua Tong, Feiping Nie, Haiyang Huang, Jie Mei:
LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification. IEEE Trans. Geosci. Remote. Sens. 56(2): 621-634 (2018) - [j111]Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie:
ℓ2, p -Norm Based PCA for Image Recognition. IEEE Trans. Image Process. 27(3): 1336-1346 (2018) - [j110]Feiping Nie, Guohao Cai, Jing Li, Xuelong Li:
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification. IEEE Trans. Image Process. 27(3): 1501-1511 (2018) - [j109]Junwei Han, Rong Quan, Dingwen Zhang, Feiping Nie:
Robust Object Co-Segmentation Using Background Prior. IEEE Trans. Image Process. 27(4): 1639-1651 (2018) - [j108]Wei Wang, Yan Yan, Feiping Nie, Shuicheng Yan, Nicu Sebe:
Flexible Manifold Learning With Optimal Graph for Image and Video Representation. IEEE Trans. Image Process. 27(6): 2664-2675 (2018) - [j107]Liangchen Liu, Feiping Nie, Arnold Wiliem, Zhihui Li, Teng Zhang, Brian C. Lovell:
Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery. IEEE Trans. Image Process. 27(9): 4345-4356 (2018) - [j106]Shuangli Liao, Quanxue Gao, Zhaohua Yang, Fang Chen, Feiping Nie, Jungong Han:
Discriminant Analysis via Joint Euler Transform and ℓ2, 1-Norm. IEEE Trans. Image Process. 27(11): 5668-5682 (2018) - [j105]Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang:
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. IEEE Trans. Knowl. Data Eng. 30(3): 559-572 (2018) - [j104]Tingjin Luo, Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi:
Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition. IEEE Trans. Knowl. Data Eng. 30(10): 1943-1956 (2018) - [j103]Rong Quan, Junwei Han, Dingwen Zhang, Feiping Nie, Xueming Qian, Xuelong Li:
Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models. IEEE Trans. Multim. 20(5): 1101-1112 (2018) - [j102]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Adaptive Unsupervised Feature Selection With Structure Regularization. IEEE Trans. Neural Networks Learn. Syst. 29(4): 944-956 (2018) - [j101]Kun Song, Feiping Nie, Junwei Han, Xuelong Li:
Rank-k 2-D Multinomial Logistic Regression for Matrix Data Classification. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3524-3537 (2018) - [j100]Rui Zhang, Feiping Nie, Xuelong Li:
Self-Weighted Supervised Discriminative Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3913-3918 (2018) - [j99]Chao Yao, Junwei Han, Feiping Nie, Fu Xiao, Xuelong Li:
Local Regression and Global Information-Embedded Dimension Reduction. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4882-4893 (2018) - [j98]Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang, Yi Yang:
Rank-Constrained Spectral Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6073-6082 (2018) - [j97]Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang, Chengqi Zhang, Nicu Sebe:
Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6323-6332 (2018) - [j96]Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang:
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6362-6373 (2018) - [c173]Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang:
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. AAAI 2018: 3596-3603 - [c172]Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie:
New l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering. AAAI 2018: 4374-4381 - [c171]Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu:
Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. AAAI 2018: 7081-7088 - [c170]Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing:
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. AAAI 2018: 8177-8178 - [c169]Muhan Guo, Rui Zhang, Feiping Nie, Xuelong Li:
Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information. CIKM 2018: 1567-1570 - [c168]Kai Liu, Hua Wang, Feiping Nie, Hao Zhang:
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances. CVPR 2018: 7727-7735 - [c167]Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. ICASSP 2018: 2216-2220 - [c166]Jing Li, Feiping Nie, Xuelong Li:
Directly Solving the Original Ratiocut Problem for Effective Data Clustering. ICASSP 2018: 2306-2310 - [c165]Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li:
A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection. ICASSP 2018: 2781-2785 - [c164]Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li:
Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means. ICIP 2018: 1503-1507 - [c163]Muhan Guo, Sheng Yang, Feiping Nie, Xuelong Li:
Locality-Based Discriminant Feature Selection with Trace Ratio. ICIP 2018: 3373-3377 - [c162]Muhan Guo, Feiping Nie, Xuelong Li:
Self-Weighted Adaptive Locality Discriminant Analysis. ICIP 2018: 3378-3382 - [c161]Sheng Yang, Feiping Nie, Xuelong Li:
Unsupervised Feature Selection with Local Structure Learning. ICIP 2018: 3398-3402 - [c160]Zhanxuan Hu, Feiping Nie, Xuelong Li:
Robust Low Rank Approxiamtion via Inliers Selection. ICIP 2018: 3688-3692 - [c159]Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang:
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut. KDD 2018: 1206-1215 - [c158]Feiping Nie, Zhanxuan Hu, Xuelong Li:
Calibrated Multi-Task Learning. KDD 2018: 2012-2021 - [c157]Feiping Nie, Lai Tian, Xuelong Li:
Multiview Clustering via Adaptively Weighted Procrustes. KDD 2018: 2022-2030 - [i22]Muge Li, Liangyue Li, Feiping Nie:
Ranking with Adaptive Neighbors. CoRR abs/1803.05105 (2018) - [i21]Shuai Zheng, Chris H. Q. Ding, Feiping Nie:
Regularized Singular Value Decomposition and Application to Recommender System. CoRR abs/1804.05090 (2018) - [i20]Di Hu, Feiping Nie, Xuelong Li:
Deep Co-Clustering for Unsupervised Audiovisual Learning. CoRR abs/1807.03094 (2018) - [i19]Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li:
A Comprehensive Survey for Low Rank Regularization. CoRR abs/1808.04521 (2018) - [i18]Di Hu, Feiping Nie, Xuelong Li:
Deep LDA Hashing. CoRR abs/1810.03402 (2018) - [i17]Di Hu, Feiping Nie, Xuelong Li:
Dense Multimodal Fusion for Hierarchically Joint Representation. CoRR abs/1810.03414 (2018) - 2017
- [j95]Yunhai Wang, Jingting Li, Feiping Nie, Holger Theisel, Minglun Gong, Dirk J. Lehmann:
Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data. Comput. Graph. Forum 36(3): 401-410 (2017) - [j94]Feiping Nie, Rui Zhang, Xuelong Li:
A generalized power iteration method for solving quadratic problem on the Stiefel manifold. Sci. China Inf. Sci. 60(11): 112101:1-112101:10 (2017) - [j93]Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie, Yong Ming:
Local PurTree Spectral Clustering for Massive Customer Transaction Data. IEEE Intell. Syst. 32(2): 37-44 (2017) - [j92]Mengfan Tang, Feiping Nie, Ramesh C. Jain:
A graph regularized dimension reduction method for out-of-sample data. Neurocomputing 225: 58-63 (2017) - [j91]Rui Zhang, Feiping Nie, Xuelong Li:
Self-weighted spectral clustering with parameter-free constraint. Neurocomputing 241: 164-170 (2017) - [j90]Mengfan Tang, Feiping Nie, Siripen Pongpaichet, Ramesh C. Jain:
Semi-supervised learning on large-scale geotagged photos for situation recognition. J. Vis. Commun. Image Represent. 48: 310-316 (2017) - [j89]Rong Wang, Feiping Nie, Weizhong Yu:
Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 14(11): 2003-2007 (2017) - [j88]Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu:
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. 39: 218-230 (2017) - [j87]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Avoiding Optimal Mean ℓ2, 1-Norm Maximization-Based Robust PCA for Reconstruction. Neural Comput. 29(4): 1124-1150 (2017) - [j86]Xiaowei Zhao, Feiping Nie, Sen Wang, Jun Guo, Pengfei Xu, Xiaojiang Chen:
Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning. Neural Comput. 29(5): 1352-1374 (2017) - [j85]De Cheng, Feiping Nie, Jiande Sun, Yihong Gong:
A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering. Neural Comput. 29(7): 1902-1918 (2017) - [j84]Yan-shuo Chang, Feiping Nie, Ming-Yu Wang:
Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery. Neural Comput. 29(7): 1986-2003 (2017) - [j83]Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang:
Refined Spectral Clustering via Embedded Label Propagation. Neural Comput. 29(12) (2017) - [j82]Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie:
Optimal mean two-dimensional principal component analysis with F-norm minimization. Pattern Recognit. 68: 286-294 (2017) - [j81]Yang Liu, Quanxue Gao, Shuo Miao, Xinbo Gao, Feiping Nie, Yunsong Li:
A Non-Greedy Algorithm for L1-Norm LDA. IEEE Trans. Image Process. 26(2): 684-695 (2017) - [j80]Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li:
Re-Weighted Discriminatively Embedded K-Means for Multi-View Clustering. IEEE Trans. Image Process. 26(6): 3016-3027 (2017) - [j79]Xiwen Yao, Junwei Han, Dingwen Zhang, Feiping Nie:
Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering. IEEE Trans. Image Process. 26(7): 3196-3209 (2017) - [j78]Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou:
2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. 26(9): 4255-4268 (2017) - [j77]Hong Tao, Chenping Hou, Feiping Nie, Jubo Zhu, Dongyun Yi:
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression. IEEE Trans. Image Process. 26(9): 4283-4296 (2017) - [j76]Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu:
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction. IEEE Trans. Image Process. 26(10): 5019-5030 (2017) - [j75]Feiping Nie, Jing Li, Xuelong Li:
Convex Multiview Semi-Supervised Classification. IEEE Trans. Image Process. 26(12): 5718-5729 (2017) - [j74]Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi:
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight. IEEE Trans. Knowl. Data Eng. 29(9): 1998-2011 (2017) - [j73]