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ORCIDFeiping Nie 0001
Person information
- affiliation: Northwestern Polytechnical University, School of Computer Science, OPTIMAL, Xi'an, China
- affiliation (2009 - 2015): University of Texas at Arlington, TX, USA
- affiliation (PhD 2009): Tsinghua University, Beijing, China
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2020 – today
- 2025
[j508]Jikui Wang
, Huiyu Duan, Cuihong Zhang, Feiping Nie:
A robust self-training algorithm based on relative node graph. Appl. Intell. 55(1): 1 (2025)- [j507]Runxin Zhang, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li:
Anchor-based fast spectral ensemble clustering. Inf. Fusion 113: 102587 (2025) - [j506]Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie:
Multi-view clustering via high-order bipartite graph fusion. Inf. Fusion 113: 102630 (2025) - [j505]Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie:
A novel linear discriminant analysis based on alternate ratio sum minimization. Inf. Sci. 689: 121444 (2025) - [j504]Xiaojun Yang, Weihao Zhao, Jing Wang, Siyuan Peng, Feiping Nie:
Auto-weighted Graph Reconstruction for efficient ensemble clustering. Inf. Sci. 689: 121486 (2025) - [j503]Xinyi Fan, Weizhong Yu, Feiping Nie, Xuelong Li:
Fast semi-supervised classification based on anchor graph. Inf. Sci. 699: 121786 (2025) - [j502]Jikui Wang, Cuihong Zhang, Wei Zhao, Xueyan Huang, Feiping Nie:
Fast anchor graph optimized projections with principal component analysis and entropy regularization. Inf. Sci. 699: 121797 (2025) - [j501]Xiao-Jun Yang, Yang-Hui Wu, Zhi-Hao Zhang, Jing Wang, Feiping Nie:
Multitype view of knowledge contrastive learning for recommendation. Neural Networks 181: 106690 (2025) - [j500]Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie:
Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline. Neural Networks 182: 106908 (2025) - [j499]Xiaojun Yang, Tuoji Zhu, Siyuan Peng, Feiping Nie, Zhiping Lin:
Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering. Pattern Recognit. 157: 110933 (2025) - [j498]Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li:
Fast adaptively balanced min-cut clustering. Pattern Recognit. 158: 111027 (2025) - [j497]Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li:
Corrigendum to "Fast adaptively balanced min-cut clustering" [Pattern Recognition 158 (2025) 111027]. Pattern Recognit. 159: 111084 (2025) - [j496]Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie:
Structured multi-view k-means clustering. Pattern Recognit. 160: 111113 (2025) - [j495]Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie:
A Structured Bipartite Graph Learning method for ensemble clustering. Pattern Recognit. 160: 111133 (2025) - [j494]Jintang Bian, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie:
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 37(1): 45-59 (2025) - [j493]Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li:
Discriminative and Robust Autoencoders for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1622-1636 (2025) - 2024
- [j492]Jian Yang, Mengchen Dong, Chuanxiang Li, Feiping Nie:
YOLO-RDFEA: Object Detection in RD Imagery With Improved YOLOv8 Based on Feature Enhancement and Attention Mechanisms. IEEE Access 12: 158226-158238 (2024) - [j491]Jihai Yi, Huiyu Duan, Jikui Wang, Zhengguo Yang, Feiping Nie:
Structure preserved fast dimensionality reduction. Appl. Soft Comput. 162: 111817 (2024) - [j490]Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong:
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. J. Classif. 41(1): 129-157 (2024) - [j489]Ruihan Chen, Junpeng Tan, Yinghong Zhou, Zhijing Yang, Feiping Nie, Tianshui Chen:
Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing. Expert Syst. Appl. 237(Part C): 121703 (2024) - [j488]Jikui Wang, Yiwen Wu, Xueyan Huang, Cuihong Zhang, Feiping Nie:
Projected fuzzy c-means clustering algorithm with instance penalty. Expert Syst. Appl. 255: 124563 (2024) - [j487]Yunlong Gao, Zhenghong Xu, Feiping Nie, Yisong Zhang, Qingyuan Zhu, Guifang Shao:
Joint Projected Fuzzy Neighborhood Preserving C-means Clustering with Local Adaptive Learning. Expert Syst. Appl. 255: 124617 (2024) - [j486]Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li:
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570: 127102 (2024) - [j485]Ben Yang, Zhiyuan Xue, Jinghan Wu, Xuetao Zhang, Feiping Nie, Badong Chen:
Anchor-graph regularized orthogonal concept factorization for document clustering. Neurocomputing 573: 127173 (2024) - [j484]Jingyu Wang, Cheng Chen, Feiping Nie, Xuelong Li:
Discriminative and robust least squares regression for semi-supervised image classification. Neurocomputing 575: 127316 (2024) - [j483]Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
Harmonic cut: An efficient and directly solved balanced graph clustering. Neurocomputing 578: 127381 (2024) - [j482]Yu Duan, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie:
Scalable and parameter-free fusion graph learning for multi-view clustering. Neurocomputing 597: 128037 (2024) - [j481]Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
New approach for learning structured graph with Laplacian rank constraint. Neurocomputing 598: 128065 (2024) - [j480]Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Top-k discriminative feature selection with uncorrelated and ℓ2, 0-norm equation constraints. Neurocomputing 598: 128069 (2024) - [j479]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98]. Neurocomputing 601: 128189 (2024) - [j478]Ben Yang, Jinghan Wu, Xuetao Zhang, Xinhu Zheng, Feiping Nie, Badong Chen:
Discrete correntropy-based multi-view anchor-graph clustering. Inf. Fusion 103: 102097 (2024) - [j477]Qingsong Hu, Huafeng Li, Zhanxuan Hu, Feiping Nie:
Diverse semantic information fusion for Unsupervised Person Re-Identification. Inf. Fusion 107: 102319 (2024) - [j476]Jintang Bian, Xiaohua Xie, Jian-Huang Lai, Feiping Nie:
Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement. Inf. Fusion 108: 102393 (2024) - [j475]Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie:
Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. Inf. Fusion 111: 102483 (2024) - [j474]Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie:
Prediction consistency regularization for Generalized Category Discovery. Inf. Fusion 112: 102547 (2024) - [j473]Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li:
Robust autoencoder feature selector for unsupervised feature selection. Inf. Sci. 660: 120121 (2024) - [j472]Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang:
Local sparse discriminative feature selection. Inf. Sci. 662: 120214 (2024) - [j471]Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie:
Neural collapse inspired semi-supervised learning with fixed classifier. Inf. Sci. 667: 120469 (2024) - [j470]Xiaojun Yang, Weihao Zhao, Yuxiong Xu, Chang-Dong Wang, Bin Li, Feiping Nie:
Sparse K-means clustering algorithm with anchor graph regularization. Inf. Sci. 667: 120504 (2024) - [j469]Jingwei Chen, Shiyu Xie, Hui Yang, Feiping Nie:
Effective semi-supervised graph clustering with pairwise constraints. Inf. Sci. 681: 121249 (2024) - [j468]Ben Yang, Jinghan Wu, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen:
Fast correntropy-based multi-view clustering with prototype graph factorization. Inf. Sci. 681: 121256 (2024) - [j467]Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu:
T-distributed Stochastic Neighbor Network for unsupervised representation learning. Neural Networks 179: 106520 (2024) - [j466]Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li:
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 641-658 (2024) - [j465]Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li:
A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 659-666 (2024) - [j464]Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li:
Fast Clustering With Anchor Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1898-1912 (2024) - [j463]Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li:
Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5479-5492 (2024) - [j462]Danyang Wu, Zhenkun Yang, Jitao Lu, Jin Xu, Xiangmin Xu, Feiping Nie:
EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7878-7892 (2024) - [j461]Yunlong Gao, Xinjing Wang, Jiaxin Xie, Jinyan Pan, Peng Yan, Feiping Nie:
Robust Principal Component Analysis Based on Fuzzy Local Information Reservation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9321-9337 (2024) - [j460]Wei Chang, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li:
Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10434-10451 (2024) - [j459]Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li:
A Novel and Effective Method to Directly Solve Spectral Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10863-10875 (2024) - [j458]Jikui Wang, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie:
Fast anchor graph preserving projections. Pattern Recognit. 146: 109996 (2024) - [j457]Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie:
Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction. Pattern Recognit. 146: 110062 (2024) - [j456]Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu:
Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognit. 147: 110082 (2024) - [j455]Ben Yang, Jinghan Wu, Yu Zhou, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen:
Robust spectral embedded bilateral orthogonal concept factorization for clustering. Pattern Recognit. 150: 110308 (2024) - [j454]Jingyu Wang, Hengheng Yin, Feiping Nie, Xuelong Li:
Adaptive and fuzzy locality discriminant analysis for dimensionality reduction. Pattern Recognit. 151: 110382 (2024) - [j453]Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li:
Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognit. 151: 110389 (2024) - [j452]Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Zonghui Wang:
Spectral clustering with linear embedding: A discrete clustering method for large-scale data. Pattern Recognit. 151: 110396 (2024) - [j451]Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie:
Interactive Supervision for New Intent Discovery. IEEE Signal Process. Lett. 31: 1680-1684 (2024) - [j450]Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li:
Sparse Trace Ratio LDA for Supervised Feature Selection. IEEE Trans. Cybern. 54(4): 2420-2433 (2024) - [j449]Zheng Wang, Qi Li, Feiping Nie, Rong Wang, Fei Wang, Xuelong Li:
Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph. IEEE Trans. Cybern. 54(8): 4527-4538 (2024) - [j448]Jingjing Xue, Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li:
Co-Clustering by Directly Solving Bipartite Spectral Graph Partitioning. IEEE Trans. Cybern. 54(12): 7590-7601 (2024) - [j447]Jingyu Wang, Shengzhao Guo, Feiping Nie, Xuelong Li:
Local-Global Fuzzy Clustering With Anchor Graph. IEEE Trans. Fuzzy Syst. 32(1): 188-202 (2024) - [j446]Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li:
Multiview Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 32(3): 755-766 (2024) - [j445]Huimin Chen, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
Fuzzy Clustering From Subset-Clustering to Fullset-Membership. IEEE Trans. Fuzzy Syst. 32(9): 5359-5370 (2024) - [j444]Jingyu Wang, Xinru Zhang, Feiping Nie, Xuelong Li:
Robust Discriminant Embedding Projection Fuzzy Clustering With Optimal Mean. IEEE Trans. Fuzzy Syst. 32(10): 5924-5938 (2024) - [j443]Runxin Zhang, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li:
Unsupervised Deep Embedding for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 32(12): 6744-6753 (2024) - [j442]Yunlong Gao, Qinting Wu, Zhenghong Xu, Chao Cao, Jinyan Pan, Guifang Shao, Feiping Nie, Qingyuan Zhu:
Principal Component Analysis With Fuzzy Elastic Net for Feature Selection. IEEE Trans. Fuzzy Syst. 32(12): 6878-6890 (2024) - [j441]Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li:
Ensemble Clustering With Attentional Representation. IEEE Trans. Knowl. Data Eng. 36(2): 581-593 (2024) - [j440]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. IEEE Trans. Knowl. Data Eng. 36(3): 1234-1248 (2024) - [j439]Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li:
Bidirectional Attentive Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(5): 1889-1901 (2024) - [j438]Yunlong Gao, Yuzhe Feng, Youwei Xie, Jinyan Pan, Feiping Nie:
Normalized Robust PCA With Adaptive Reconstruction Error Minimization. IEEE Trans. Knowl. Data Eng. 36(6): 2587-2599 (2024) - [j437]Yun Liang, Yijin Chen, Qiong Huang, Haoming Chen, Feiping Nie:
An Effective Optimization Method for Fuzzy $k$k-Means With Entropy Regularization. IEEE Trans. Knowl. Data Eng. 36(7): 2846-2861 (2024) - [j436]Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li:
Row-Sparse Principal Component Analysis via Coordinate Descent Method. IEEE Trans. Knowl. Data Eng. 36(7): 3460-3471 (2024) - [j435]Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li:
Supervised Feature Selection via Multi-Center and Local Structure Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4930-4942 (2024) - [j434]Xiaojun Yang, Tuoji Zhu, Danyang Wu, Penglei Wang, Yujia Liu, Feiping Nie:
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(11): 5675-5680 (2024) - [j433]Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li:
An Balanced, and Scalable Graph-Based Multiview Clustering Method. IEEE Trans. Knowl. Data Eng. 36(12): 7643-7656 (2024) - [j432]Jie Mu, Feiping Nie, Wei Wang, Jian Xu, Jing Zhang, Han Liu:
MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 36(12): 8787-8800 (2024) - [j431]Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Hyperspherical Prototype Node Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j430]Hong Chen, Feiping Nie, Rong Wang, Xuelong Li:
Unsupervised Feature Selection With Flexible Optimal Graph. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2014-2027 (2024) - [j429]Jintang Bian, Dandan Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3601-3614 (2024) - [j428]Feiping Nie, Hong Chen, Shiming Xiang, Changshui Zhang, Shuicheng Yan, Xuelong Li:
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5710-5720 (2024) - [j427]Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Generalized and Robust Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7006-7020 (2024) - [j426]Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Robust Principal Component Analysis via Joint Reconstruction and Projection. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7175-7189 (2024) - [j425]Zheng Wang, Dongming Wu, Rong Wang, Feiping Nie, Fei Wang:
Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7974-7987 (2024) - [j424]Danyang Wu, Xia Dong, Jianfu Cao, Rong Wang, Feiping Nie, Xuelong Li:
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8939-8953 (2024) - [j423]Feiping Nie, Jingjing Xue, Rong Wang, Liang Zhang, Xuelong Li:
Fast Clustering by Directly Solving Bipartite Graph Clustering Problem. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9174-9185 (2024) - [j422]Jingjing Xue, Feiping Nie, Rong Wang, Liang Zhang, Xuelong Li:
Fast Clustering via Maximizing Adaptively Within-Class Similarity. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9800-9813 (2024) - [j421]Feiping Nie, Zhenyu Ma, Jingyu Wang, Xuelong Li:
Fast Sparse Discriminative K-Means for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9943-9957 (2024) - [j420]Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11106-11115 (2024) - [j419]Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li:
Fast Multiview Clustering by Optimal Graph Mining. IEEE Trans. Neural Networks Learn. Syst. 35(9): 13071-13077 (2024) - [j418]Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie, Fei Wang:
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13354-13367 (2024) - [j417]Rong Wang, Penglei Wang, Danyang Wu, Zhensheng Sun, Feiping Nie, Xuelong Li:
Multi-View and Multi-Order Structured Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14437-14448 (2024) - [j416]Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Efficient Discrete Clustering With Anchor Graph. IEEE Trans. Neural Networks Learn. Syst. 35(10): 15012-15020 (2024) - [j415]Jingwei Chen, Shiyu Xie, Hongyun Jiang, Hui Yang, Feiping Nie:
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15142-15155 (2024) - [j414]Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li:
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17650-17661 (2024) - [j413]Hebing Nie, Qi Li, Zheng Wang, Haifeng Zhao, Feiping Nie:
Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18105-18119 (2024) - [j412]Zheng Wang, Yongjin Yuan, Rong Wang, Feiping Nie, Qinghua Huang, Xuelong Li:
Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18605-18619 (2024) - [j411]Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang:
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18784-18798 (2024) - [j410]Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie:
Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering. IEEE Trans. Signal Process. 72: 2221-2232 (2024) - [c233]Feiping Nie, Zhezheng Hao, Rong Wang:
Multi-Class Support Vector Machine with Maximizing Minimum Margin. AAAI 2024: 14466-14473 - [c232]Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li:
Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints. ICASSP 2024: 3585-3589 - [c231]Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang:
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning. ICASSP 2024: 6340-6344 - [c230]Xin Qi, Han Zhang, Feiping Nie:
Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework. ICASSP 2024: 6895-6899 - [c229]Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu:
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View. ICLR 2024 - [c228]Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie:
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. IJCAI 2024: 4955-4963 - [c227]Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie:
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. WWW 2024: 322-333 - [c226]Danyang Wu, Xinjie Shen,