Nie, Feiping

139 publications

ICLR 2026 Riemannian Optimization on Relaxed Indicator Matrix Manifold Jh Yuan, Fangyuan Xie, Feiping Nie, Xuelong Li

IJCAI 2025 Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang

AAAI 2025 Language Pre-Training Guided Masking Representation Learning for Time Series Classification Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie

TMLR 2024 Hyperspherical Prototype Node Clustering Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li

AAAI 2024 Multi-Class Support Vector Machine with Maximizing Minimum Margin Feiping Nie, Zhezheng Hao, Rong Wang

IJCAI 2024 Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie

ICLR 2024 Self-Supervised Heterogeneous Graph Learning: A Homophily and Heterogeneity View Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu

AAAI 2023 Efficient Top-K Feature Selection Using Coordinate Descent Method Lei Xu, Rong Wang, Feiping Nie, Xuelong Li

NeurIPS 2023 Joint Feature and Differentiable $ K $-NN Graph Learning Using Dirichlet Energy Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li

ECML-PKDD 2023 Transformer-Based Contrastive Multi-View Clustering via Ensembles Mingyu Zhao, Weidong Yang, Feiping Nie

IJCAI 2022 EMGC²F: Efficient Multi-View Graph Clustering with Comprehensive Fusion Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan

IJCAI 2021 Discrete Multiple Kernel K-Means Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li

AAAI 2021 Fast Multi-View Discrete Clustering with Anchor Graphs Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie

IJCAI 2021 GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li

AAAI 2021 Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie

IJCAI 2020 Discriminative Feature Selection via a Structured Sparse Subspace Learning Module Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li

NeurIPS 2020 Efficient Clustering Based on a Unified View of $k$-Means and Ratio-Cut Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li

NeurIPS 2020 Learning Feature Sparse Principal Subspace Lai Tian, Feiping Nie, Rong Wang, Xuelong Li

CVPR 2020 Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie

IJCAI 2020 Semi-Supervised Clustering via Pairwise Constrained Optimal Graph Feiping Nie, Han Zhang, Rong Wang, Xuelong Li

AAAI 2019 A Probabilistic Derivation of LASSO and L12-Norm Feature Selections Di Ming, Chris Ding, Feiping Nie

AISTATS 2019 A Unified Weight Learning Paradigm for Multi-View Learning Lai Tian, Feiping Nie, Xuelong Li

CVPR 2019 Deep Multimodal Clustering for Unsupervised Audiovisual Learning Di Hu, Feiping Nie, Xuelong Li

IJCAI 2019 Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie

IJCAI 2019 Learning Strictly Orthogonal P-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie

CVPR 2019 Listen to the Image Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang

AAAI 2019 Semi-Supervised Feature Selection with Adaptive Discriminant Analysis Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie

IJCAI 2019 Worst-Case Discriminative Feature Selection Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang

AAAI 2018 Balanced Clustering via Exclusive Lasso: A Pragmatic Approach Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang

AAAI 2018 Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing

CVPR 2018 Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the L1-Norm Distances Kai Liu, Hua Wang, Feiping Nie, Hao Zhang

AAAI 2018 Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu

AAAI 2018 New L2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie

AAAI 2017 A Multiview-Based Parameter Free Framework for Group Detection Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang

ICCV 2017 A Self-Balanced Min-Cut Algorithm for Image Clustering Xiaojun Chen, Joshua Zhexue Haung, Feiping Nie, Renjie Chen, Qingyao Wu

IJCAI 2017 Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng

IJCAI 2017 Angle Principal Component Analysis Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie

AAAI 2017 Balanced Clustering with Least Square Regression Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li

AAAI 2017 Bilateral K-Means Algorithm for Fast Co-Clustering Junwei Han, Kun Song, Feiping Nie, Xuelong Li

IJCAI 2017 Convolutional 2D LDA for Nonlinear Dimensionality Reduction Qi Wang, Zequn Qin, Feiping Nie, Yuan Yuan

IJCAI 2017 Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines Jinglin Xu, Feiping Nie, Junwei Han

IJCAI 2017 Flexible Orthogonal Neighborhood Preserving Embedding Tianji Pang, Feiping Nie, Junwei Han

IJCAI 2017 Joint Capped Norms Minimization for Robust Matrix Recovery Feiping Nie, Zhouyuan Huo, Heng Huang

AAAI 2017 Large Graph Hashing with Spectral Rotation Xuelong Li, Di Hu, Feiping Nie

NeurIPS 2017 Learning a Structured Optimal Bipartite Graph for Co-Clustering Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang

IJCAI 2017 Linear Manifold Regularization with Adaptive Graph for Semi-Supervised Dimensionality Reduction Kai Xiong, Feiping Nie, Junwei Han

AAAI 2017 Local Centroids Structured Non-Negative Matrix Factorization Hongchang Gao, Feiping Nie, Heng Huang

IJCAI 2017 Locality Adaptive Discriminant Analysis Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang

IJCAI 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang

AAAI 2017 Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours Feiping Nie, Guohao Cai, Xuelong Li

AAAI 2017 Multi-View Correlated Feature Learning by Uncovering Shared Component Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao

IJCAI 2017 Multi-View Feature Learning with Discriminative Regularization Jinglin Xu, Junwei Han, Feiping Nie

AAAI 2017 Multiclass Capped ℓp-Norm SVM for Robust Classifications Feiping Nie, Xiaoqian Wang, Heng Huang

IJCAI 2017 Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering Junwei Han, Kai Xiong, Feiping Nie

AAAI 2017 Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning Kun Song, Feiping Nie, Junwei Han, Xuelong Li

AAAI 2017 Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng

IJCAI 2017 Scalable Normalized Cut with Improved Spectral Rotation Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang

IJCAI 2017 Self-Weighted Multiview Clustering with Multiple Graphs Feiping Nie, Jing Li, Xuelong Li

AAAI 2017 Semi-Supervised Classifications via Elastic and Robust Embedding Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

IJCAI 2017 Semi-Supervised Feature Selection via Rescaled Linear Regression Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang

IJCAI 2017 Semi-Supervised Orthogonal Graph Embedding with Recursive Projections Hanyang Liu, Junwei Han, Feiping Nie

IJCAI 2017 Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang

IJCAI 2017 Two Dimensional Large Margin Nearest Neighbor for Matrix Classification Kun Song, Feiping Nie, Junwei Han

AAAI 2017 Unsupervised Large Graph Embedding Feiping Nie, Wei Zhu, Xuelong Li

IJCAI 2016 Avoiding Optimal Mean Robust PCA/2DPCA with Non-Greedy ℓ1-Norm Maximization Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng

AAAI 2016 Discriminative Vanishing Component Analysis Chenping Hou, Feiping Nie, Dacheng Tao

CVPR 2016 Discriminatively Embedded K-Means for Multi-View Clustering Jinglin Xu, Junwei Han, Feiping Nie

IJCAI 2016 Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering De Wang, Feiping Nie, Heng Huang

AAAI 2016 Graph-Without-Cut: An Ideal Graph Learning for Image Segmentation Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen

AAAI 2016 New L1-Norm Relaxations and Optimizations for Graph Clustering Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang

CVPR 2016 Object Co-Segmentation via Graph Optimized-Flexible Manifold Ranking Rong Quan, Junwei Han, Dingwen Zhang, Feiping Nie

IJCAI 2016 Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification Feiping Nie, Jing Li, Xuelong Li

IJCAI 2016 Robust and Sparse Fuzzy K-Means Clustering Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie

IJCAI 2016 Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint Feiping Nie, Heng Huang

AAAI 2016 The Constrained Laplacian Rank Algorithm for Graph-Based Clustering Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang

ECML-PKDD 2016 Uncovering Locally Discriminative Structure for Feature Analysis Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao

AAAI 2016 Unsupervised Feature Selection with Structured Graph Optimization Feiping Nie, Wei Zhu, Xuelong Li

AAAI 2015 A Closed Form Solution to Multi-View Low-Rank Regression Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang

AAAI 2015 A Convex Formulation for Spectral Shrunk Clustering Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou

IJCAI 2015 A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering Jin Huang, Feiping Nie, Heng Huang

IJCAI 2015 Discriminative Unsupervised Dimensionality Reduction Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang

AAAI 2015 Large-Scale Multi-View Spectral Clustering via Bipartite Graph Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang

AAAI 2015 Learning Robust Locality Preserving Projection via P-Order Minimization Hua Wang, Feiping Nie, Heng Huang

ICCV 2015 Multi-View Subspace Clustering Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang

CVPR 2015 Optimal Graph Learning with Partial Tags and Multiple Features for Image and Video Annotation Lianli Gao, Jingkuan Song, Feiping Nie, Yan Yan, Nicu Sebe, Heng Tao Shen

IJCAI 2015 Robust Dictionary Learning with Capped L1-Norm Wenhao Jiang, Feiping Nie, Heng Huang

ECML-PKDD 2015 Unsupervised Feature Analysis with Class Margin Optimization Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng

AAAI 2014 A Convex Formulation for Semi-Supervised Multi-Label Feature Selection Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang

NeurIPS 2014 Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-Norm Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris Ding

AAAI 2014 Feature Selection at the Discrete Limit Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie

ECML-PKDD 2014 Flexible Shift-Invariant Locality and Globality Preserving Projections Feiping Nie, Xiao Cai, Heng Huang

AAAI 2014 Globally and Locally Consistent Unsupervised Projection Hua Wang, Feiping Nie, Heng Huang

ICML 2014 Linear Time Solver for Primal SVM Feiping Nie, Yizhen Huang, Heng Huang

AAAI 2014 Low-Rank Tensor Completion with Spatio-Temporal Consistency Hua Wang, Feiping Nie, Heng Huang

ICML 2014 Optimal Mean Robust Principal Component Analysis Feiping Nie, Jianjun Yuan, Heng Huang

ICML 2014 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization Hua Wang, Feiping Nie, Heng Huang

ECML-PKDD 2014 Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-Means Clustering (TRACK) De Wang, Feiping Nie, Heng Huang

IJCAI 2013 Adaptive Loss Minimization for Semi-Supervised Elastic Embedding Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

IJCAI 2013 Early Active Learning via Robust Representation and Structured Sparsity Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

IJCAI 2013 Exact Top-K Feature Selection via L2, 0-Norm Constraint Xiao Cai, Feiping Nie, Heng Huang

ICCV 2013 Heterogeneous Image Features Integration via Multi-Modal Semi-Supervised Learning Model Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang

CVPR 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine Hua Wang, Feiping Nie, Heng Huang, Chris Ding

ICML 2013 Multi-View Clustering and Feature Learning via Structured Sparsity Hua Wang, Feiping Nie, Heng Huang

IJCAI 2013 Multi-View K-Means Clustering on Big Data Xiao Cai, Feiping Nie, Heng Huang

ICCV 2013 New Graph Structured Sparsity Model for Multi-Label Image Annotations Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang

AAAI 2013 Robust Discrete Matrix Completion Jin Huang, Feiping Nie, Heng Huang

ICML 2013 Robust and Discriminative Self-Taught Learning Hua Wang, Feiping Nie, Heng Huang

ICCV 2013 Semi-Supervised Robust Dictionary Learning via Efficient L-Norms Minimization Hua Wang, Feiping Nie, Weidong Cai, Heng Huang

IJCAI 2013 Social Trust Prediction Using Rank-K Matrix Recovery Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding

AAAI 2013 Spectral Rotation Versus K-Means in Spectral Clustering Jin Huang, Feiping Nie, Heng Huang

AAAI 2013 Supervised and Projected Sparse Coding for Image Classification Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding

IJCAI 2013 Thinking of Images as What They Are: Compound Matrix Regression for Image Classification Zhigang Ma, Yi Yang, Feiping Nie, Nicu Sebe

ICML 2012 An Iterative Locally Linear Embedding Algorithm Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie

NeurIPS 2012 Forging the Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach Dijun Luo, Heng Huang, Feiping Nie, Chris H. Ding

NeurIPS 2012 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen

AAAI 2012 Low-Rank Matrix Recovery via Efficient Schatten P-Norm Minimization Feiping Nie, Heng Huang, Chris H. Q. Ding

CVPR 2012 Robust and Discriminative Distance for Multi-Instance Learning Hua Wang, Feiping Nie, Heng Huang

ICML 2011 Cauchy Graph Embedding Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang

ICCV 2011 Dyadic Transfer Learning for Cross-Domain Image Classification Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding

IJCAI 2011 Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon

IJCAI 2011 Feature Selection via Joint Embedding Learning and Sparse Regression Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu

CVPR 2011 Heterogeneous Image Feature Integration via Multi-Modal Spectral Clustering Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar

AAAI 2011 Learning Instance Specific Distance for Multi-Instance Classification Hua Wang, Feiping Nie, Heng Huang

NeurIPS 2011 Maximum Margin Multi-Instance Learning Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Ding

ECML-PKDD 2011 Multi-Subspace Representation and Discovery Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang

AAAI 2011 Nonnegative Spectral Clustering with Discriminative Regularization Yi Yang, Heng Tao Shen, Feiping Nie, Rongrong Ji, Xiaofang Zhou

IJCAI 2011 Robust Principal Component Analysis with Non-Greedy L1-Norm Maximization Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang

ICCV 2011 Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen

CVPR 2011 Tag Localization with Spatial Correlations and Joint Group Sparsity Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen, Feiping Nie

ICCV 2011 Unsupervised and Semi-Supervised Learning via ℓ1-Norm Graph Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

NeurIPS 2010 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization Feiping Nie, Heng Huang, Xiao Cai, Chris H. Ding

ECML-PKDD 2010 Improved MinMax Cut Graph Clustering with Nonnegative Relaxation Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang

AAAI 2010 Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation Yi Yang, Feiping Nie, Shiming Xiang, Yueting Zhuang, Wenhua Wang

MLJ 2010 On the Eigenvectors of P-Laplacian Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie

IJCAI 2009 Spectral Embedded Clustering Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang

AAAI 2008 Trace Ratio Criterion for Feature Selection Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan

IJCAI 2007 Neighborhood MinMax Projections Feiping Nie, Shiming Xiang, Changshui Zhang

CVPR 2007 Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang

ECML-PKDD 2006 Spline Embedding for Nonlinear Dimensionality Reduction Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang