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Feiping 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
- [j471]Runxin Zhang
, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li:
Anchor-based fast spectral ensemble clustering. Inf. Fusion 113: 102587 (2025) - 2024
- [j470]Jihai Yi, Huiyu Duan, Jikui Wang
, Zhengguo Yang
, Feiping Nie:
Structure preserved fast dimensionality reduction. Appl. Soft Comput. 162: 111817 (2024) - [j469]Keding Chen, Yong Peng
, Feiping Nie, Wanzeng Kong:
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. J. Classif. 41(1): 129-157 (2024) - [j468]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) - [j467]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) - [j466]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) - [j465]Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li:
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570: 127102 (2024) - [j464]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) - [j463]Jingyu Wang, Cheng Chen
, Feiping Nie, Xuelong Li:
Discriminative and robust least squares regression for semi-supervised image classification. Neurocomputing 575: 127316 (2024) - [j462]Yu Duan
, Feiping Nie, Rong Wang, Xuelong Li:
Harmonic cut: An efficient and directly solved balanced graph clustering. Neurocomputing 578: 127381 (2024) - [j461]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) - [j460]Yu Duan
, Feiping Nie, Rong Wang, Xuelong Li:
New approach for learning structured graph with Laplacian rank constraint. Neurocomputing 598: 128065 (2024) - [j459]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) - [j458]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) - [j457]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) - [j456]Qingsong Hu
, Huafeng Li
, Zhanxuan Hu, Feiping Nie:
Diverse semantic information fusion for Unsupervised Person Re-Identification. Inf. Fusion 107: 102319 (2024) - [j455]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) - [j454]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) - [j453]Yu Duan
, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie:
Prediction consistency regularization for Generalized Category Discovery. Inf. Fusion 112: 102547 (2024) - [j452]Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li:
Robust autoencoder feature selector for unsupervised feature selection. Inf. Sci. 660: 120121 (2024) - [j451]Canyu Zhang
, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang:
Local sparse discriminative feature selection. Inf. Sci. 662: 120214 (2024) - [j450]Zhanxuan Hu
, Yichen Wang, Hailong Ning
, Yonghang Tai, Feiping Nie:
Neural collapse inspired semi-supervised learning with fixed classifier. Inf. Sci. 667: 120469 (2024) - [j449]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) - [j448]Jingwei Chen
, Shiyu Xie, Hui Yang, Feiping Nie:
Effective semi-supervised graph clustering with pairwise constraints. Inf. Sci. 681: 121249 (2024) - [j447]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) - [j446]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) - [j445]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) - [j444]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) - [j443]Feiping Nie
, Jingjing Xue
, Weizhong Yu
, Xuelong Li
:
Fast Clustering With Anchor Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1898-1912 (2024) - [j442]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) - [j441]Jikui Wang
, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie:
Fast anchor graph preserving projections. Pattern Recognit. 146: 109996 (2024) - [j440]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) - [j439]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) - [j438]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) - [j437]Jingyu Wang, Hengheng Yin
, Feiping Nie, Xuelong Li:
Adaptive and fuzzy locality discriminant analysis for dimensionality reduction. Pattern Recognit. 151: 110382 (2024) - [j436]Fangyuan Xie
, Feiping Nie, Weizhong Yu, Xuelong Li:
Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognit. 151: 110389 (2024) - [j435]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) - [j434]Zhanxuan Hu
, Yan Xu, Lang He
, Feiping Nie
:
Interactive Supervision for New Intent Discovery. IEEE Signal Process. Lett. 31: 1680-1684 (2024) - [j433]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) - [j432]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) - [j431]Jingyu Wang
, Shengzhao Guo
, Feiping Nie
, Xuelong Li
:
Local-Global Fuzzy Clustering With Anchor Graph. IEEE Trans. Fuzzy Syst. 32(1): 188-202 (2024) - [j430]Weizhong Yu
, Liyin Xing
, Feiping Nie
, Xuelong Li:
Multiview Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 32(3): 755-766 (2024) - [j429]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) - [j428]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) - [j427]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) - [j426]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) - [j425]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) - [j424]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) - [j423]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) - [j422]Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j421]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) - [j420]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) - [j419]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) - [j418]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) - [j417]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) - [j416]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) - [j415]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) - [j414]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) - [j413]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) - [j412]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) - [j411]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) - [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) - [c232]Feiping Nie, Zhezheng Hao, Rong Wang:
Multi-Class Support Vector Machine with Maximizing Minimum Margin. AAAI 2024: 14466-14473 - [c231]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 - [c230]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 - [c229]Xin Qi, Han Zhang, Feiping Nie:
Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework. ICASSP 2024: 6895-6899 - [c228]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 - [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 - [i50]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) - [i49]Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie:
Simple Multigraph Convolution Networks. CoRR abs/2403.05014 (2024) - [i48]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) - [i47]Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li:
Adaptive Fuzzy C-Means with Graph Embedding. CoRR abs/2405.13427 (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]Zhihui Li, Feiping Nie
, Xiaojun Chang
, Yi Yang:
Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 29(10): 2100-2110 (2017) - [j72]Wenzhang Zhuge, Feiping Nie
, Chenping Hou, Dongyun Yi:
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph. IEEE Trans. Knowl. Data Eng. 29(10): 2347-2359 (2017) - [j71]Rui Zhang
, Feiping Nie
, Xuelong Li
:
Regularized Class-Specific Subspace Classifier. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2738-2747 (2017) - [c156]Hongchang Gao, Feiping Nie, Heng Huang:
Local Centroids Structured Non-Negative Matrix Factorization. AAAI 2017: 1905-1911 - [c155]Junwei Han, Kun Song, Feiping Nie, Xuelong Li:
Bilateral k-Means Algorithm for Fast Co-Clustering. AAAI 2017: 1969-1975 - [c154]Xuelong Li, Di Hu, Feiping Nie:
Large Graph Hashing with Spectral Rotation. AAAI 2017: 2203-2209 - [c153]Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li:
Balanced Clustering with Least Square Regression. AAAI 2017: 2231-2237 - [c152]Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang:
Semi-Supervised Classifications via Elastic and Robust Embedding. AAAI 2017: 2294-2300 - [c151]Minnan Luo, Feiping Nie, Xiaojun Chang
, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. AAAI 2017: 2308-2314 - [c150]Feiping Nie, Guohao Cai, Xuelong Li:
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. AAAI 2017: 2408-2414 - [c149]Feiping Nie, Xiaoqian Wang, Heng Huang:
Multiclass Capped ℓp-Norm SVM for Robust Classifications. AAAI 2017: 2415-2421 - [c148]Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Large Graph Embedding. AAAI 2017: 2422-2428 - [c147]Kun Song, Feiping Nie, Junwei Han, Xuelong Li:
Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning. AAAI 2017: 2555-2561 - [c146]Xiaowei Xue, Feiping Nie, Sen Wang
, Xiaojun Chang
, Bela Stantic, Min Yao:
Multi-View Correlated Feature Learning by Uncovering Shared Component. AAAI 2017: 2810-2816 - [c145]Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang:
A Multiview-Based Parameter Free Framework for Group Detection. AAAI 2017: 4147-4153 - [c144]Rui Zhang
, Feiping Nie
, Xuelong Li
:
Embedded clustering via robust orthogonal least square discriminant analysis. ICASSP 2017: 2332-2336 - [c143]Jian'an Zhang, Yuan Yuan, Feiping Nie
, Qi Wang
:
Largest center-specific margin for dimension reduction. ICASSP 2017: 2352-2356 - [c142]Rui Zhang
, Feiping Nie
, Xuelong Li
:
Semi-supervised classification via both label and side information. ICASSP 2017: 2417-2421 - [c141]Wei Zhu, Feiping Nie
, Xuelong Li
:
Fast Spectral Clustering with efficient large graph construction. ICASSP 2017: 2492-2496 - [c140]Rui Zhang
, Feiping Nie
, Xuelong Li
:
Auto-weighted two-dimensional principal component analysis with robust outliers. ICASSP 2017: 6065-6069 - [c139]Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie
, Renjie Chen, Qingyao Wu:
A Self-Balanced Min-Cut Algorithm for Image Clustering. ICCV 2017: 2080-2088 - [c138]Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang:
Scalable Normalized Cut with Improved Spectral Rotation. IJCAI 2017: 1518-1524 - [c137]Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang:
Semi-supervised Feature Selection via Rescaled Linear Regression. IJCAI 2017: 1525-1531 - [c136]Junwei Han, Kai Xiong, Feiping Nie:
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering. IJCAI 2017: 1809-1815 - [c135]Wenhao Jiang, Cheng Deng, Wei Liu
, Feiping Nie, Fu-Lai Chung, Heng Huang:
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. IJCAI 2017: 1958-1964 - [c134]Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang:
Locality Adaptive Discriminant Analysis. IJCAI 2017: 2201-2207 - [c133]Hanyang Liu, Junwei Han, Feiping Nie:
Semi-supervised Orthogonal Graph Embedding with Recursive Projections. IJCAI 2017: 2308-2314 - [c132]Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang
, Buyue Qian, Qinghua Zheng:
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. IJCAI 2017: 2421-2427 - [c131]Feiping Nie, Zhouyuan Huo, Heng Huang:
Joint Capped Norms Minimization for Robust Matrix Recovery. IJCAI 2017: 2557-2563 - [c130]Feiping Nie, Jing Li, Xuelong Li:
Self-weighted Multiview Clustering with Multiple Graphs. IJCAI 2017: 2564-2570 - [c129]Tianji Pang, Feiping Nie, Junwei Han:
Flexible Orthogonal Neighborhood Preserving Embedding. IJCAI 2017: 2592-2598 - [c128]Kun Song, Feiping Nie, Junwei Han:
Two dimensional Large Margin Nearest Neighbor for Matrix Classification. IJCAI 2017: 2751-2757 - [c127]Qi Wang, Zequn Qin, Feiping Nie, Yuan Yuan:
Convolutional 2D LDA for Nonlinear Dimensionality Reduction. IJCAI 2017: 2929-2935 - [c126]Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie:
Angle Principal Component Analysis. IJCAI 2017: 2936-2942 - [c125]Kai Xiong, Feiping Nie, Junwei Han:
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction. IJCAI 2017: 3147-3153 - [c124]Jie Xu, Xianglong Liu
, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang:
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI 2017: 3154-3160 - [c123]Jinglin Xu, Junwei Han, Feiping Nie:
Multi-view Feature Learning with Discriminative Regularization. IJCAI 2017: 3161-3167 - [c122]Jinglin Xu, Feiping Nie, Junwei Han:
Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines. IJCAI 2017: 3168-3174 - [c121]Rui Zhang
, Feiping Nie
, Xuelong Li
:
Projected clustering via robust orthogonal least square regression with optimal scaling. IJCNN 2017: 2784-2791 - [c120]Xuelong Li
, Di Hu, Feiping Nie
:
Deep Binary Reconstruction for Cross-modal Hashing. ACM Multimedia 2017: 1398-1406 - [c119]Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang:
Learning A Structured Optimal Bipartite Graph for Co-Clustering. NIPS 2017: 4129-4138 - [i16]Feiping Nie, Rui Zhang, Xuelong Li:
A generalized power iteration method for solving quadratic problem on the Stiefel manifold. CoRR abs/1701.00381 (2017) - [i15]Mengfan Tang, Feiping Nie, Siripen Pongpaichet, Ramesh C. Jain:
From Photo Streams to Evolving Situations. CoRR abs/1702.05878 (2017) - [i14]Zan Gao, Guotai Zhang, Feiping Nie, Hua Zhang:
Local Shrunk Discriminant Analysis (LSDA). CoRR abs/1705.01206 (2017) - [i13]Xuelong Li, Di Hu, Feiping Nie:
Deep Binary Reconstruction for Cross-modal Hashing. CoRR abs/1708.05127 (2017) - [i12]Yanwei Pang, Bo Zhou, Feiping Nie:
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction. CoRR abs/1709.02896 (2017) - 2016
- [j70]Luming Zhang, Yi Yang, Feiping Nie
, Ling Shao
:
Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling. IEEE Multim. 23(3): 20-22 (2016) - [j69]Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao
, Feiping Nie
:
On the schatten norm for matrix based subspace learning and classification. Neurocomputing 216: 192-199 (2016) - [j68]Haifeng Zhao, Zheng Wang, Feiping Nie
:
Orthogonal least squares regression for feature extraction. Neurocomputing 216: 200-207 (2016) - [j67]Xiaoshuang Shi, Zhenhua Guo, Feiping Nie
, Lin Yang, Jane You
, Dacheng Tao:
Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2130-2136 (2016) - [j66]Jingkuan Song
, Lianli Gao, Feiping Nie
, Heng Tao Shen, Yan Yan, Nicu Sebe
:
Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation. IEEE Trans. Image Process. 25(11): 4999-5011 (2016) - [j65]Xiaojun Chang
, Feiping Nie
, Yi Yang, Chengqi Zhang
, Heng Huang:
Convex Sparse PCA for Unsupervised Feature Learning. ACM Trans. Knowl. Discov. Data 11(1): 3:1-3:16 (2016) - [j64]Yan Yan
, Feiping Nie
, Wen Li, Chenqiang Gao, Yi Yang, Dong Xu:
Image Classification by Cross-Media Active Learning With Privileged Information. IEEE Trans. Multim. 18(12): 2494-2502 (2016) - [j63]Haibo He, Nitesh V. Chawla
, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai
, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter
, Ling Shao
, Jennie Si
, Jochen J. Steil, Brijesh K. Verma
, Ding Wang:
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27(1): 1-7 (2016) - [j62]Hong Tao, Chenping Hou, Feiping Nie
, Yuanyuan Jiao, Dongyun Yi:
Effective Discriminative Feature Selection With Nontrivial Solution. IEEE Trans. Neural Networks Learn. Syst. 27(4): 796-808 (2016) - [j61]Xiaojun Chang
, Feiping Nie
, Sen Wang
, Yi Yang, Xiaofang Zhou
, Chengqi Zhang
:
Compound Rank-k Projections for Bilinear Analysis. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1502-1513 (2016) - [c118]Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen:
Graph-without-cut: An Ideal Graph Learning for Image Segmentation. AAAI 2016: 1188-1194 - [c117]Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Feature Selection with Structured Graph Optimization. AAAI 2016: 1302-1308 - [c116]Chenping Hou, Feiping Nie, Dacheng Tao:
Discriminative Vanishing Component Analysis. AAAI 2016: 1666-1672 - [c115]Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang:
New l1-Norm Relaxations and Optimizations for Graph Clustering. AAAI 2016: 1962-1968 - [c114]Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang:
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. AAAI 2016: 1969-1976 - [c113]Wei Wang, Yan Yan, Feiping Nie, Xavier Alameda-Pineda, Shuicheng Yan, Nicu Sebe:
Projective Unsupervised Flexible Embedding with Optimal Graph. BMVC 2016 - [c112]Rong Quan, Junwei Han, Dingwen Zhang, Feiping Nie
:
Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking. CVPR 2016: 687-695 - [c111]Jinglin Xu, Junwei Han, Feiping Nie
:
Discriminatively Embedded K-Means for Multi-view Clustering. CVPR 2016: 5356-5364 - [c110]Lina Yao, Feiping Nie
, Quan Z. Sheng
, Tao Gu
, Xue Li
, Sen Wang
:
Learning from less for better: semi-supervised activity recognition via shared structure discovery. UbiComp 2016: 13-24 - [c109]Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi:
Semi-Supervised Multi-label Dimensionality Reduction. ICDM 2016: 919-924 - [c108]De Wang, Feiping Nie, Heng Huang:
Learning Task Relational Structure for Multi-task Feature Learning. ICDM 2016: 1239-1244 - [c107]Mengfan Tang, Pranav Agrawal, Feiping Nie
, Siripen Pongpaichet, Ramesh C. Jain:
A graph based multimodal geospatial interpolation framework. ICME 2016: 1-6 - [c106]Liangchen Liu, Feiping Nie
, Teng Zhang, Arnold Wiliem, Brian C. Lovell
:
Unsupervised automatic attribute discovery method via multi-graph clustering. ICPR 2016: 1713-1718 - [c105]Wenzhang Zhuge, Chenping Hou, Feiping Nie
, Dongyun Yi:
Unsupervised feature extraction using a learned graph with clustering structure. ICPR 2016: 3597-3602 - [c104]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI 2016: 402-409 - [c103]Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ1-Norm Maximization. IJCAI 2016: 1802-1808 - [c102]Feiping Nie, Heng Huang:
Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint. IJCAI 2016: 1874-1880 - [c101]Feiping Nie, Jing Li, Xuelong Li:
Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification. IJCAI 2016: 1881-1887 - [c100]De Wang, Feiping Nie, Heng Huang:
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. IJCAI 2016: 2104-2110 - [c99]Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie:
Robust and Sparse Fuzzy K-Means Clustering. IJCAI 2016: 2224-2230 - [c98]Xiaoqian Wang, Feiping Nie
, Heng Huang:
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. KDD 2016: 1245-1254 - [c97]Zhouyuan Huo, Feiping Nie
, Heng Huang:
Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. KDD 2016: 1605-1614 - [c96]Zhengxia Wang, Xiaofeng Zhu
, Ehsan Adeli
, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu:
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) 2016: 291-299 - [c95]Mengfan Tang, Feiping Nie
, Ramesh C. Jain:
Capped Lp-Norm Graph Embedding for Photo Clustering. ACM Multimedia 2016: 431-435 - [c94]Jingkuan Song, Lianli Gao, Mihai Marian Puscas, Feiping Nie
, Fumin Shen, Nicu Sebe
:
Joint Graph Learning and Video Segmentation via Multiple Cues and Topology Calibration. ACM Multimedia 2016: 831-840 - [c93]Sen Wang
, Feiping Nie, Xiaojun Chang
, Xue Li
, Quan Z. Sheng
, Lina Yao:
Uncovering Locally Discriminative Structure for Feature Analysis. ECML/PKDD (1) 2016: 281-295 - [i11]Feiping Nie, Heng Huang:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. CoRR abs/1603.08293 (2016) - [i10]Sen Wang, Feiping Nie, Xiaojun Chang
, Xue Li, Quan Z. Sheng, Lina Yao:
Uncovering Locally Discriminative Structure for Feature Analysis. CoRR abs/1607.02559 (2016) - [i9]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. CoRR abs/1610.04631 (2016) - [i8]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. CoRR abs/1610.04668 (2016) - 2015
- [j60]Yi Yang, Zhigang Ma, Feiping Nie, Xiaojun Chang
, Alexander G. Hauptmann:
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization. Int. J. Comput. Vis. 113(2): 113-127 (2015) - [j59]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery. Knowl. Inf. Syst. 42(3): 525-544 (2015) - [j58]Yang Yang, Zhigang Ma, Yi Yang, Feiping Nie, Heng Tao Shen:
Multitask Spectral Clustering by Exploring Intertask Correlation. IEEE Trans. Cybern. 45(5): 1069-1080 (2015) - [j57]Rong Wang, Feiping Nie, Xiaojun Yang, Feifei Gao, Minli Yao:
Robust 2DPCA With Non-greedy ℓ1-Norm Maximization for Image Analysis. IEEE Trans. Cybern. 45(5): 1108-1112 (2015) - [j56]Hua Wang, Feiping Nie, Heng Huang:
Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization. ACM Trans. Knowl. Discov. Data 10(1): 1:1-1:29 (2015) - [j55]De Wang, Feiping Nie, Heng Huang:
Feature Selection via Global Redundancy Minimization. IEEE Trans. Knowl. Data Eng. 27(10): 2743-2755 (2015) - [j54]Chenping Hou, Feiping Nie, Dongyun Yi, Dacheng Tao:
Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1287-1299 (2015) - [c92]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. AAAI 2015: 1973-1979 - [c91]Xiaojun Chang
, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou:
A Convex Formulation for Spectral Shrunk Clustering. AAAI 2015: 2532-2538 - [c90]Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang:
Large-Scale Multi-View Spectral Clustering via Bipartite Graph. AAAI 2015: 2750-2756 - [c89]Hua Wang, Feiping Nie, Heng Huang:
Learning Robust Locality Preserving Projection via p-Order Minimization. AAAI 2015: 3059-3065 - [c88]Hongchang Gao, Feiping Nie, Tom Weidong Cai
, Heng Huang:
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. CIKM 2015: 871-880 - [c87]Lianli Gao, Jingkuan Song, Feiping Nie, Yan Yan, Nicu Sebe
, Heng Tao Shen:
Optimal graph learning with partial tags and multiple features for image and video annotation. CVPR 2015: 4371-4379 - [c86]Hongchang Gao, Feiping Nie, Xuelong Li
, Heng Huang:
Multi-view Subspace Clustering. ICCV 2015: 4238-4246 - [c85]Jin Huang, Feiping Nie, Heng Huang:
A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. IJCAI 2015: 3569-3575 - [c84]Wenhao Jiang, Feiping Nie, Heng Huang:
Robust Dictionary Learning with Capped l1-Norm. IJCAI 2015: 3590-3596 - [c83]Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang:
Discriminative Unsupervised Dimensionality Reduction. IJCAI 2015: 3925-3931 - [c82]Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan
, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin
, Li Shen
, Heng Huang:
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) 2015: 169-176 - [c81]Sen Wang
, Feiping Nie, Xiaojun Chang
, Lina Yao, Xue Li
, Quan Z. Sheng
:
Unsupervised Feature Analysis with Class Margin Optimization. ECML/PKDD (1) 2015: 383-398 - [i7]Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi:
Effective Discriminative Feature Selection with Non-trivial Solutions. CoRR abs/1504.05408 (2015) - [i6]Sen Wang, Feiping Nie, Xiaojun Chang
, Lina Yao, Xue Li, Quan Z. Sheng:
Unsupervised Feature Analysis with Class Margin Optimization. CoRR abs/1506.01330 (2015) - [i5]Wenhao Jiang, Feiping Nie, Korris Fu-Lai Chung, Heng Huang:
Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers. CoRR abs/1509.01710 (2015) - 2014
- [j53]Zhigang Ma, Yi Yang, Feiping Nie, Nicu Sebe
, Shuicheng Yan, Alexander G. Hauptmann:
Harnessing Lab Knowledge for Real-World Action Recognition. Int. J. Comput. Vis. 109(1-2): 60-73 (2014) - [j52]Guorong Wu, Qian Wang
, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen:
A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Anal. 18(6): 881-890 (2014) - [j51]Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang:
Learning high-dimensional correspondence via manifold learning and local approximation. Neural Comput. Appl. 24(7-8): 1555-1568 (2014) - [j50]Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu:
Multiple rank multi-linear SVM for matrix data classification. Pattern Recognit. 47(1): 454-469 (2014) - [j49]Chenping Hou, Feiping Nie, Xuelong Li
, Dongyun Yi, Yi Wu:
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection. IEEE Trans. Cybern. 44(6): 793-804 (2014) - [c80]Xiaojun Chang
, Feiping Nie, Yi Yang, Heng Huang:
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. AAAI 2014: 1171-1177 - [c79]Hua Wang, Feiping Nie, Heng Huang:
Globally and Locally Consistent Unsupervised Projection. AAAI 2014: 1328-1333 - [c78]Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie:
Feature Selection at the Discrete Limit. AAAI 2014: 1355-1361 - [c77]Hua Wang, Feiping Nie, Heng Huang:
Low-Rank Tensor Completion with Spatio-Temporal Consistency. AAAI 2014: 2846-2852 - [c76]Feiping Nie, Yizhen Huang, Heng Huang:
Linear Time Solver for Primal SVM. ICML 2014: 505-513 - [c75]Feiping Nie, Jianjun Yuan, Heng Huang:
Optimal Mean Robust Principal Component Analysis. ICML 2014: 1062-1070 - [c74]Hua Wang, Feiping Nie, Heng Huang:
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. ICML 2014: 1836-1844 - [c73]De Wang, Feiping Nie, Heng Huang:
Large-scale adaptive semi-supervised learning via unified inductive and transductive model. KDD 2014: 482-491 - [c72]Feiping Nie, Xiaoqian Wang, Heng Huang:
Clustering and projected clustering with adaptive neighbors. KDD 2014: 977-986 - [c71]De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai
, Andrew J. Saykin
, Li Shen
, Heng Huang:
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) 2014: 313-320 - [c70]Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding:
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm. NIPS 2014: 1655-1663 - [c69]De Wang, Feiping Nie, Heng Huang:
Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK). ECML/PKDD (3) 2014: 306-321 - [c68]Feiping Nie, Xiao Cai, Heng Huang:
Flexible Shift-Invariant Locality and Globality Preserving Projections. ECML/PKDD (2) 2014: 485-500 - [i4]Xiaojun Chang
, Haoquan Shen, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou:
Compound Rank-k Projections for Bilinear Analysis. CoRR abs/1411.6231 (2014) - [i3]Xiaojun Chang
, Feiping Nie, Yi Yang, Heng Huang:
A Convex Sparse PCA for Feature Analysis. CoRR abs/1411.6233 (2014) - [i2]Xiaojun Chang
, Feiping Nie, Zhigang Ma, Yi Yang:
Balanced k-Means and Min-Cut Clustering. CoRR abs/1411.6235 (2014) - [i1]Xiaojun Chang
, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou:
A Convex Formulation for Spectral Shrunk Clustering. CoRR abs/1411.6308 (2014) - 2013
- [j48]Yun Liu, Feiping Nie, Jigang Wu, Lihui Chen
:
Efficient semi-supervised feature selection with noise insensitive trace ratio criterion. Neurocomputing 105: 12-18 (2013) - [j47]Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu:
Learning a subspace for clustering via pattern shrinking. Inf. Process. Manag. 49(4): 871-883 (2013) - [j46]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. 20(4): 344-358 (2013) - [j45]Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu:
Efficient Image Classification via Multiple Rank Regression. IEEE Trans. Image Process. 22(1): 340-352 (2013) - [j44]Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu, Yu Lei:
Social trust prediction using heterogeneous networks. ACM Trans. Knowl. Discov. Data 7(4): 17:1-17:21 (2013) - [j43]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Robust Manifold Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 8(3): 11:1-11:21 (2013) - [c67]Jin Huang, Feiping Nie, Heng Huang:
Robust Discrete Matrix Completion. AAAI 2013: 424-430 - [c66]Jin Huang, Feiping Nie, Heng Huang:
Spectral Rotation versus K-Means in Spectral Clustering. AAAI 2013: 431-437 - [c65]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Supervised and Projected Sparse Coding for Image Classification. AAAI 2013: 438-444 - [c64]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR 2013: 3097-3102 - [c63]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
New Graph Structured Sparsity Model for Multi-label Image Annotations. ICCV 2013: 801-808 - [c62]Hua Wang, Feiping Nie, Weidong Cai
, Heng Huang:
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. ICCV 2013: 1145-1152 - [c61]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. ICCV 2013: 1737-1744 - [c60]Hua Wang, Feiping Nie, Heng Huang:
Robust and Discriminative Self-Taught Learning. ICML (3) 2013: 298-306 - [c59]Hua Wang, Feiping Nie, Heng Huang:
Multi-View Clustering and Feature Learning via Structured Sparsity. ICML (3) 2013: 352-360 - [c58]Xiao Cai, Feiping Nie, Heng Huang:
Exact Top-k Feature Selection via l2, 0-Norm Constraint. IJCAI 2013: 1240-1246 - [c57]Zhigang Ma, Yi Yang, Feiping Nie, Nicu Sebe:
Thinking of Images as What They Are: Compound Matrix Regression for Image Classification. IJCAI 2013: 1530-1536 - [c56]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI 2013: 1565-1571 - [c55]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Early Active Learning via Robust Representation and Structured Sparsity. IJCAI 2013: 1572-1578 - [c54]Xiao Cai, Feiping Nie, Heng Huang:
Multi-View K-Means Clustering on Big Data. IJCAI 2013: 2598-2604 - [c53]Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding:
Social Trust Prediction Using Rank-k Matrix Recovery. IJCAI 2013: 2647-2653 - [c52]De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen
:
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI 2013: 536-547 - [c51]Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. KDD 2013: 1124-1132 - [c50]Guorong Wu, Qian Wang
, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen:
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. MICCAI (3) 2013: 551-558 - [c49]Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin
, Li Shen
:
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) 2013: 625-632 - 2012
- [j42]Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin
, Li Shen
:
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. 28(2): 229-237 (2012) - [j41]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen
:
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. 28(12): 127-136 (2012) - [j40]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher
, Andrew J. Saykin
, Li Shen
:
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. 28(18): 619-625 (2012) - [j39]Shizhun Yang, Chenping Hou, Feiping Nie, Yi Wu:
Unsupervised maximum margin feature selection via L 2, 1-norm minimization. Neural Comput. Appl. 21(7): 1791-1799 (2012) - [j38]Yi Yang, Feiping Nie, Dong Xu, Jiebo Luo
, Yueting Zhuang, Yunhe Pan:
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 723-742 (2012) - [j37]Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang:
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. Pattern Recognit. Lett. 33(5): 485-491 (2012) - [j36]Yi Huang, Dong Xu, Feiping Nie:
Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition. IEEE Trans. Circuits Syst. Video Technol. 22(3): 479-488 (2012) - [j35]Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang, Alexander G. Hauptmann:
Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding. IEEE Trans. Image Process. 21(3): 1339-1351 (2012) - [j34]Zhigang Ma, Feiping Nie, Yi Yang, Jasper R. R. Uijlings, Nicu Sebe
:
Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection. IEEE Trans. Multim. 14(4): 1021-1030 (2012) - [j33]Zhigang Ma, Feiping Nie, Yi Yang, Jasper R. R. Uijlings, Nicu Sebe
, Alexander G. Hauptmann:
Discriminating Joint Feature Analysis for Multimedia Data Understanding. IEEE Trans. Multim. 14(6): 1662-1672 (2012) - [j32]Yi Huang, Dong Xu, Feiping Nie:
Semi-Supervised Dimension Reduction Using Trace Ratio Criterion. IEEE Trans. Neural Networks Learn. Syst. 23(3): 519-526 (2012) - [j31]Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, Changshui Zhang:
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1738-1754 (2012) - [j30]Feiping Nie, Dong Xu, Xuelong Li
:
Initialization Independent Clustering With Actively Self-Training Method. IEEE Trans. Syst. Man Cybern. Part B 42(1): 17-27 (2012) - [c48]Feiping Nie, Heng Huang, Chris H. Q. Ding:
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI 2012: 655-661 - [c47]Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu:
Trust prediction via aggregating heterogeneous social networks. CIKM 2012: 1774-1778 - [c46]Hua Wang, Feiping Nie, Heng Huang:
Robust and discriminative distance for Multi-Instance Learning. CVPR 2012: 2919-2924 - [c45]Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding:
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM 2012: 566-574 - [c44]Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie:
An Iterative Locally Linear Embedding Algorithm. ICML 2012 - [c43]Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang:
Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. MICCAI (2) 2012: 271-279 - [c42]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS 2012: 1286-1294 - [c41]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012: 2969-2977 - [c40]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB 2012: 314-325 - 2011
- [j29]Cheng Chen, Yi Yang, Feiping Nie, Jean-Marc Odobez
:
3D human pose recovery from image by efficient visual feature selection. Comput. Vis. Image Underst. 115(3): 290-299 (2011) - [j28]Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang:
Interactive Image Segmentation With Multiple Linear Reconstructions in Windows. IEEE Trans. Multim. 13(2): 342-352 (2011) - [j27]Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu:
Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks 22(3): 420-432 (2011) - [j26]Feiping Nie, Zinan Zeng, Ivor W. Tsang
, Dong Xu, Changshui Zhang:
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering. IEEE Trans. Neural Networks 22(11): 1796-1808 (2011) - [j25]Feiping Nie, Dong Xu, Xuelong Li
, Shiming Xiang:
Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression. IEEE Trans. Syst. Man Cybern. Part B 41(3): 675-685 (2011) - [j24]Shiming Xiang, Feiping Nie, Chunhong Pan, Changshui Zhang:
Regression Reformulations of LLE and LTSA With Locally Linear Transformation. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1250-1262 (2011) - [j23]Cheng Chen, Yueting Zhuang, Feiping Nie, Yi Yang, Fei Wu, Jun Xiao:
Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor. IEEE Trans. Vis. Comput. Graph. 17(11): 1676-1689 (2011) - [c39]Hua Wang, Feiping Nie, Heng Huang:
Learning Instance Specific Distance for Multi-Instance Classification. AAAI 2011: 507-512 - [c38]Yi Yang, Heng Tao Shen, Feiping Nie, Rongrong Ji, Xiaofang Zhou:
Nonnegative Spectral Clustering with Discriminative Regularization. AAAI 2011: 555-560 - [c37]Yang Yang, Yi Yang, Zi Huang
, Heng Tao Shen, Feiping Nie:
Tag localization with spatial correlations and joint group sparsity. CVPR 2011: 881-888 - [c36]Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar:
Heterogeneous image feature integration via multi-modal spectral clustering. CVPR 2011: 1977-1984 - [c35]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Dyadic transfer learning for cross-domain image classification. ICCV 2011: 551-556 - [c34]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin
, Li Shen
:
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562 - [c33]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV 2011: 2268-2273 - [c32]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090 - [c31]Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Multi-Class L2, 1-Norm Support Vector Machine. ICDM 2011: 91-100 - [c30]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM 2011: 774-783 - [c29]Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang:
Cauchy Graph Embedding. ICML 2011: 553-560 - [c28]Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu:
Feature Selection via Joint Embedding Learning and Sparse Regression. IJCAI 2011: 1324-1329 - [c27]Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang:
Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. IJCAI 2011: 1433-1438 - [c26]Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon:
Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. IJCAI 2011: 1553-1558 - [c25]Chenping Hou, Feiping Nie, Yi Wu:
Semi-supervised Dimensionality Reduction via Harmonic Functions. MDAI 2011: 91-102 - [c24]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin
, Li Shen
:
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) 2011: 115-123 - [c23]Zhigang Ma, Yi Yang, Feiping Nie, Jasper R. R. Uijlings, Nicu Sebe
:
Exploiting the entire feature space with sparsity for automatic image annotation. ACM Multimedia 2011: 283-292 - [c22]Hua Wang, Feiping Nie, Heng Huang, Yi Yang:
Learning frame relevance for video classification. ACM Multimedia 2011: 1345-1348 - [c21]Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding:
Maximum Margin Multi-Instance Learning. NIPS 2011: 1-9 - [c20]Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang:
Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420 - [c19]Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding:
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR 2011: 933-942 - 2010
- [j22]Changshui Zhang, Feiping Nie, Shiming Xiang:
A general kernelization framework for learning algorithms based on kernel PCA. Neurocomputing 73(4-6): 959-967 (2010) - [j21]Fei Wu, Wenhua Wang, Yi Yang, Yueting Zhuang, Feiping Nie:
Classification by semi-supervised discriminative regularization. Neurocomputing 73(10-12): 1641-1651 (2010) - [j20]Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie:
On the eigenvectors of p-Laplacian. Mach. Learn. 81(1): 37-51 (2010) - [j19]Feiping Nie, Shiming Xiang, Yun Liu, Changshui Zhang:
A general graph-based semi-supervised learning with novel class discovery. Neural Comput. Appl. 19(4): 549-555 (2010) - [j18]Shiming Xiang, Feiping Nie, Changshui Zhang:
Semi-Supervised Classification via Local Spline Regression. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 2039-2053 (2010) - [j17]Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie:
Multiple view semi-supervised dimensionality reduction. Pattern Recognit. 43(3): 720-730 (2010) - [j16]Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang
, Changshui Zhang:
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction. IEEE Trans. Image Process. 19(7): 1921-1932 (2010) - [j15]Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yueting Zhuang:
Image Clustering Using Local Discriminant Models and Global Integration. IEEE Trans. Image Process. 19(10): 2761-2773 (2010) - [j14]Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang:
TurboPixel Segmentation Using Eigen-Images. IEEE Trans. Image Process. 19(11): 3024-3034 (2010) - [c18]Yi Yang, Feiping Nie, Shiming Xiang, Yueting Zhuang, Wenhua Wang:
Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation. AAAI 2010: 649-654 - [c17]Yi Huang, Dong Xu, Feiping Nie:
Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition. ICIP 2010: 2449-2452 - [c16]Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding:
Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. NIPS 2010: 1813-1821 - [c15]Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466
2000 – 2009
- 2009
- [j13]Chunxia Zhang, Shiming Xiang, Feiping Nie, Yangqiu Song
:
Nonlinear dimensionality reduction with relative distance comparison. Neurocomputing 72(7-9): 1719-1731 (2009) - [j12]Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang:
Embedding new data points for manifold learning via coordinate propagation. Knowl. Inf. Syst. 19(2): 159-184 (2009) - [j11]Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou:
Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations. Neural Process. Lett. 30(2): 89-102 (2009) - [j10]Feiping Nie, Shiming Xiang, Yangqiu Song
, Changshui Zhang:
Extracting the optimal dimensionality for local tensor discriminant analysis. Pattern Recognit. 42(1): 105-114 (2009) - [j9]Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang:
Semi-supervised orthogonal discriminant analysis via label propagation. Pattern Recognit. 42(11): 2615-2627 (2009) - [j8]Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu:
Learning an Orthogonal and Smooth Subspace for Image Classification. IEEE Signal Process. Lett. 16(4): 303-306 (2009) - [j7]Shiming Xiang, Feiping Nie, Chunxia Zhang, Changshui Zhang:
Interactive Natural Image Segmentation via Spline Regression. IEEE Trans. Image Process. 18(7): 1623-1632 (2009) - [j6]Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang:
Nonlinear Dimensionality Reduction with Local Spline Embedding. IEEE Trans. Knowl. Data Eng. 21(9): 1285-1298 (2009) - [j5]Yangqing Jia, Feiping Nie, Changshui Zhang:
Trace Ratio Problem Revisited. IEEE Trans. Neural Networks 20(4): 729-735 (2009) - [c14]Mingjie Qian, Feiping Nie, Changshui Zhang:
Efficient multi-class unlabeled constrained semi-supervised SVM. CIKM 2009: 1665-1668 - [c13]Mingjie Qian, Feiping Nie, Changshui Zhang:
Probabilistic Labeled Semi-supervised SVM. ICDM Workshops 2009: 394-399 - [c12]Feiping Nie, Dong Xu, Ivor W. Tsang
, Changshui Zhang:
Spectral Embedded Clustering. IJCAI 2009: 1181-1186 - [c11]Yi Yang, Dong Xu, Feiping Nie, Jiebo Luo
, Yueting Zhuang:
Ranking with local regression and global alignment for cross media retrieval. ACM Multimedia 2009: 175-184 - 2008
- [j4]Yangqiu Song, Feiping Nie, Changshui Zhang, Shiming Xiang:
A unified framework for semi-supervised dimensionality reduction. Pattern Recognit. 41(9): 2789-2799 (2008) - [j3]Shiming Xiang, Feiping Nie, Changshui Zhang:
Learning a Mahalanobis distance metric for data clustering and classification. Pattern Recognit. 41(12): 3600-3612 (2008) - [j2]Shiming Xiang, Feiping Nie, Yangqiu Song
, Changshui Zhang:
Contour graph based human tracking and action sequence recognition. Pattern Recognit. 41(12): 3653-3664 (2008) - [j1]Yangqiu Song
, Feiping Nie, Changshui Zhang:
Semi-supervised sub-manifold discriminant analysis. Pattern Recognit. Lett. 29(13): 1806-1813 (2008) - [c10]Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan:
Trace Ratio Criterion for Feature Selection. AAAI 2008: 671-676 - 2007
- [c9]Feiping Nie, Shiming Xiang, Yangqiu Song
, Changshui Zhang:
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition. CVPR 2007 - [c8]Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang:
Extracting the Optimal Dimensionality for Discriminant Analysis. ICASSP (2) 2007: 617-620 - [c7]Feiping Nie, Shiming Xiang, Changshui Zhang:
Neighborhood MinMax Projections. IJCAI 2007: 993-998 - [c6]Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang:
Interactive Visual Object Extraction Based on Belief Propagation. MMM (1) 2007: 24-33 - [c5]Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang:
Embedding New Data Points for Manifold Learning Via Coordinate Propagation. PAKDD 2007: 332-343 - 2006
- [c4]Shiming Xiang, Feiping Nie, Changshui Zhang:
Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning. ACCV (1) 2006: 216-225 - [c3]Shiming Xiang, Feiping Nie, Changshui Zhang:
Exemplar-Based Human Contour Tracking. ACCV (1) 2006: 338-347 - [c2]Shiming Xiang, Feiping Nie, Changshui Zhang:
Contour Matching Based on Belief Propagation. ACCV (2) 2006: 489-498 - [c1]Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang:
Spline Embedding for Nonlinear Dimensionality Reduction. ECML 2006: 825-832
Coauthor Index
aka: Chris H. Q. Ding
![](https://dblp.org/img/cog.dark.24x24.png)
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