Feiping Nie

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 553

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Neurocomputing

IEEE Trans. Knowl. Data Eng.

CoRR

Publications

Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li
Ensemble Clustering With Attentional Representation. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Jingyu Wang, Shengzhao Guo, Feiping Nie, Xuelong Li
Local-Global Fuzzy Clustering With Anchor Graph. IEEE Trans. Fuzzy Syst. 32 (1) (2024)
Ben Yang, Zhiyuan Xue, Jinghan Wu, Xuetao Zhang, Feiping Nie, Badong Chen
Anchor-graph regularized orthogonal concept factorization for document clustering. Neurocomputing 573 (2024)
Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570 (2024)
Jikui Wang, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie
Fast anchor graph preserving projections. Pattern Recognit. 146 (2024)
Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu
Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognit. 147 (2024)
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) (2024)
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
Unsupervised Feature Selection With Flexible Optimal Graph. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li
Robust autoencoder feature selector for unsupervised feature selection. Inf. Sci. 660 (2024)
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) (2024)
Ben Yang, Jinghan Wu, Xuetao Zhang, Xinhu Zheng, Feiping Nie, Badong Chen
Discrete correntropy-based multi-view anchor-graph clustering. Inf. Fusion 103 (2024)
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) (2024)
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) (2024)
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 (2024)
Ziheng Li, Feiping Nie, Rong Wang, Xuelong Li
Robust rank-one matrix completion with rank estimation. Pattern Recognit. 142 (2023)
Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li
Scalable Fuzzy Clustering With Anchor Graph. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
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) (2023)
Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li
-Norm Minimization. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li
Discriminative Projected Clustering via Unsupervised LDA. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
Calibrated multi-task subspace learning via binary group structure constraint. Inf. Sci. 631 (2023)
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) (2023)
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) (2023)
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) (2023)
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
Elaborate multi-task subspace learning with discrete group constraint. Pattern Recognit. 139 (2023)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Sparse robust subspace learning via boolean weight. Inf. Fusion 96 (2023)
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) (2023)
Jianyong Zhu, Lihong Tao, Hui Yang, Feiping Nie
Unsupervised Optimized Bipartite Graph Embedding. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization. CoRR (2023)
Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion. ACM Multimedia (2023)
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) (2023)
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 (2023)
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Max-Min Robust Principal Component Analysis. Neurocomputing 521 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Feiping Nie, Shaojun Shi, Jing Li, Xuelong Li
Implicit Weight Learning for Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li
Feature selection with multi-class logistic regression. Neurocomputing 543 (2023)
Mingyu Zhao, Weidong Yang, Feiping Nie
MVCformer: A transformer-based multi-view clustering method. Inf. Sci. 649 (2023)
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 (2023)
Jingyu Wang, Xinru Zhang, Feiping Nie, Xuelong Li
Enhanced Robust Fuzzy K-Means Clustering joint ℓ0-norm constraint. Neurocomputing 561 (2023)
Bing Li, Jikui Wang, Zhengguo Yang, Jihai Yi, Feiping Nie
Fast semi-supervised self-training algorithm based on data editing. Inf. Sci. 626 (2023)
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Mingyu Zhao, Weidong Yang, Feiping Nie
Deep graph reconstruction for multi-view clustering. Neural Networks 168 (2023)
Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li
Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction. ICASSP (2023)
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) (2023)
Lei Xu, Rong Wang, Feiping Nie, Xuelong Li
Efficient Top-K Feature Selection Using Coordinate Descent Method. AAAI (2023)
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) (2023)
Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie
Self-Weighted Euler $k$-Means Clustering. IEEE Signal Process. Lett. 30 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li
Effective Clustering via Structured Graph Learning. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
Learning Feature-Sparse Principal Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means. Inf. Sci. 644 (2023)
Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li
Centerless Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
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) (2023)
Jianyong Zhu, Xinyun Chen, Hui Yang, Feiping Nie
Unsupervised Adaptive Bipartite Graph Embedding. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie
Fuzzy C-Multiple-Means Clustering for Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
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) (2023)
Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie
Mutual-Taught Deep Clustering. Knowl. Based Syst. 282 (2023)
Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. IEEE Trans. Multim. 25 (2023)
Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie
L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks. CoRR (2023)
Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie
Fast spectral clustering with self-adapted bipartite graph learning. Inf. Sci. 644 (2023)
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) (2023)
Feiping Nie, Zhezheng Hao, Rong Wang
Multi-class Support Vector Machine with Maximizing Minimum Margin. CoRR (2023)
Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie
Simultaneous local clustering and unsupervised feature selection via strong space constraint. Pattern Recognit. 142 (2023)
Jianyong Zhu, Jingwei Chen, Bin Xu, Hui Yang, Feiping Nie
Fast orthogonal locality-preserving projections for unsupervised feature selection. Neurocomputing 531 (2023)
Lei Xu, Rong Wang, Feiping Nie, Jun Wu, Xuelong Li
Semi-Supervised Top-k Feature Selection with a General Optimization Framework. ICME (2023)
Mingyu Zhao, Weidong Yang, Feiping Nie
Transformer-Based Contrastive Multi-view Clustering via Ensembles. ECML/PKDD (1) (2023)
Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li
Fast neighborhood reconstruction with adaptive weights learning. Knowl. Based Syst. 259 (2023)
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
Fast Multi-View Clustering via Prototype Graph. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
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) (2023)
Qianyao Qiang, Bin Zhang, Feiping Nie, Fei Wang
Multi-view semi-supervised learning with adaptive graph fusion. Neurocomputing 557 (2023)
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) (2023)
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 (2023)
He Xiong, Deguang Kong, Feiping Nie
Cauchy balanced nonnegative matrix factorization. Artif. Intell. Rev. 56 (10) (2023)
Zhengxin Li, Feiping Nie, Danyang Wu, Zhanxuan Hu, Xuelong Li
Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors. IEEE Trans. Cybern. 53 (2) (2023)
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) (2023)
Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li
Sparse feature selection via fast embedding spectral analysis. Pattern Recognit. 139 (2023)
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) (2023)
Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li
Graph-Based Soft-Balanced Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 31 (6) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Han Zhang, Feiping Nie, Xuelong Li
Large-Scale Clustering With Structured Optimal Bipartite Graph. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
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 (2023)
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis. IEEE Trans. Cybern. 53 (6) (2023)
Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li
Unsupervised Subspace Learning With Flexible Neighboring. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
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 (2023)
Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie
Robust weighted co-clustering with global and local discrimination. Pattern Recognit. 138 (2023)
Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie
Multi-View Discrete Clustering: A Concise Model. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yongjin Yuan, Zheng Wang, Feiping Nie, Xuelong Li
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint. ICASSP (2023)
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) (2023)

Feiping Nie.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Feiping Nie