Feiping Nie

ORCID

Publication Activity (10 Years)

Years Active: 2006-2025
Publications (10 Years): 590

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Neurocomputing

IEEE Trans. Knowl. Data Eng.

CoRR

Publications

Runxin Zhang, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li
Anchor-based fast spectral ensemble clustering. Inf. Fusion 113 (2025)
Jihai Yi, Huiyu Duan, Jikui Wang, Zhengguo Yang, Feiping Nie
Structure preserved fast dimensionality reduction. Appl. Soft Comput. 162 (2024)
Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024)
Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li
Adaptive Fuzzy C-Means with Graph Embedding. CoRR (2024)
Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li
Generalized and Robust Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Jintang Bian, Xiaohua Xie, Jian-Huang Lai, Feiping Nie
Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement. Inf. Fusion 108 (2024)
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)
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) (2024)
Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570 (2024)
Jingyu Wang, Cheng Chen, Feiping Nie, Xuelong Li
Discriminative and robust least squares regression for semi-supervised image classification. Neurocomputing 575 (2024)
Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie
Simple Multigraph Convolution Networks. CoRR (2024)
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) (2024)
Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li
Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Trans. Cybern. 54 (4) (2024)
Jikui Wang, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie
Fast anchor graph preserving projections. Pattern Recognit. 146 (2024)
Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li
Multiview Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 32 (3) (2024)
Jingyu Wang, Hengheng Yin, Feiping Nie, Xuelong Li
Adaptive and fuzzy locality discriminant analysis for dimensionality reduction. Pattern Recognit. 151 (2024)
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 (2024)
Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu
T-distributed Stochastic Neighbor Network for unsupervised representation learning. Neural Networks 179 (2024)
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 (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)
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)
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 (2024)
Xueyuan Xu, Fulin Wei, Tianyuan Jia, Li Zhuo, Feiping Nie, Xia Wu
Embedded Multi-label Feature Selection via Orthogonal Regression. CoRR (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)
Yu Duan, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie
Scalable and parameter-free fusion graph learning for multi-view clustering. Neurocomputing 597 (2024)
Jikui Wang, Yiwen Wu, Xueyan Huang, Cuihong Zhang, Feiping Nie
Projected fuzzy c-means clustering algorithm with instance penalty. Expert Syst. Appl. 255 (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)
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) (2024)
Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li
Robust autoencoder feature selector for unsupervised feature selection. Inf. Sci. 660 (2024)
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
Harmonic cut: An efficient and directly solved balanced graph clustering. Neurocomputing 578 (2024)
Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning. ICASSP (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)
Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie
Neural collapse inspired semi-supervised learning with fixed classifier. Inf. Sci. 667 (2024)
Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang
Local sparse discriminative feature selection. Inf. Sci. 662 (2024)
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 (2024)
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 (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)
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 (2024)
Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li
Fast Clustering With Anchor Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Feiping Nie, Zhezheng Hao, Rong Wang
Multi-Class Support Vector Machine with Maximizing Minimum Margin. AAAI (2024)
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) (2024)
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 (2024)
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) (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)
Jingwei Chen, Shiyu Xie, Hui Yang, Feiping Nie
Effective semi-supervised graph clustering with pairwise constraints. Inf. Sci. 681 (2024)
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) (2024)
Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie
Prediction consistency regularization for Generalized Category Discovery. Inf. Fusion 112 (2024)
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 (2024)
Haorui Xiang, Zhichang Wu, Guoxu Li, Rong Wang, Feiping Nie, Xuelong Li
Robust Capped lp-Norm Support Vector Ordinal Regression. CoRR (2024)
Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li
Row-Sparse Principal Component Analysis via Coordinate Descent Method. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
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)
Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li
Top-k discriminative feature selection with uncorrelated and ℓ2, 0-norm equation constraints. Neurocomputing 598 (2024)
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)
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) (2024)
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) (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)
Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li
Bidirectional Attentive Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
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) (2024)
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) (2024)
Qingsong Hu, Huafeng Li, Zhanxuan Hu, Feiping Nie
Diverse semantic information fusion for Unsupervised Person Re-Identification. Inf. Fusion 107 (2024)
Xin Qi, Han Zhang, Feiping Nie
Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework. ICASSP (2024)
Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie
Interactive Supervision for New Intent Discovery. IEEE Signal Process. Lett. 31 (2024)
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
New approach for learning structured graph with Laplacian rank constraint. Neurocomputing 598 (2024)
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) (2024)
Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. J. Classif. 41 (1) (2024)
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognit. 151 (2024)
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) (2024)
Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie
Simple Multigraph Convolution Networks. WWW (Companion Volume) (2024)
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) (2024)
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Feiping Nie