Feiping Nie

发表

Ranking with local regression and global alignment for cross media retrieval

Yi Yang, Dong Xu, Feiping Nie, 2009, ACM Multimedia.

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization

Feiping Nie, Hua Wang, Heng Huang, 2014, ICML.

Robust Subspace Clustering With Low-Rank Structure Constraint

Feiping Nie, Wei Chang, Zhanxuan Hu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation

Feiping Nie, Xuelong Li, Junwei Han, 2022, IEEE Transactions on Knowledge and Data Engineering.

Feature selection with multi-view data: A survey

Xuelong Li, Feiping Nie, Xian Wei, 2019, Inf. Fusion.

Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification

Feiping Nie, Xuelong Li, Shenfei Pei, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Structured Optimal Graph-Based Clustering With Flexible Embedding

Feiping Nie, Xiaojun Chang, Xin Wang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Optimal Mean Robust Principal Component Analysis

Feiping Nie, Heng Huang, Jianjun Yuan, 2014, ICML.

Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning

Rong Wang, Xuelong Li, Feiping Nie, 2020, IEEE Transactions on Knowledge and Data Engineering.

Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint

Feiping Nie, Heng Huang, Heng Huang, 2016, IJCAI.

Robust Dictionary Learning with Capped l1-Norm

Feiping Nie, Heng Huang, Wenhao Jiang, 2015, IJCAI.

Unsupervised feature extraction using a learned graph with clustering structure

Feiping Nie, Chenping Hou, Dongyun Yi, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning

Feiping Nie, Xuelong Li, Rui Zhang, 2020, IEEE Transactions on Image Processing.

Flexible Manifold Learning With Optimal Graph for Image and Video Representation

Nicu Sebe, Feiping Nie, Shuicheng Yan, 2018, IEEE Transactions on Image Processing.

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2012, AAAI.

Interactive Natural Image Segmentation via Spline Regression

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2009, IEEE Transactions on Image Processing.

Tag localization with spatial correlations and joint group sparsity

Zi Huang, Yang Yang, Yi Yang, 2011, CVPR 2011.

Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data

Feiping Nie, Minglun Gong, Jingting Li, 2017, Comput. Graph. Forum.

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, Bioinform..

Semi-Supervised Classification via Local Spline Regression

Feiping Nie, Shiming Xiang, Changshui Zhang, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity

Feiping Nie, Xuelong Li, Han Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2012, RECOMB.

Discriminative Vanishing Component Analysis

Feiping Nie, Chenping Hou, Dacheng Tao, 2016, AAAI.

Non-Greedy L21-Norm Maximization for Principal Component Analysis pdf

Feiping Nie, Heng Huang, 2016, ArXiv.

Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

Yi Yang, Feiping Nie, Xiaojun Chang, 2015, International Journal of Computer Vision.

Semi-supervised learning on large-scale geotagged photos for situation recognition

Feiping Nie, Ramesh C. Jain, Siripen Pongpaichet, 2017, J. Vis. Commun. Image Represent..

Heterogeneous image feature integration via multi-modal spectral clustering

Feiping Nie, Heng Huang, Xiao Cai, 2011, CVPR 2011.

Revisiting Fast Spectral Clustering with Anchor Graph

Feiping Nie, Xuelong Li, Rong Wang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Image Clustering Using Local Discriminant Models and Global Integration

Yi Yang, Dong Xu, Feiping Nie, 2010, IEEE Transactions on Image Processing.

A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback

Yi Yang, Dong Xu, Feiping Nie, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization

Feiping Nie, Hua Wang, Heng Huang, 2015, ACM Trans. Knowl. Discov. Data.

Fuzzy K-Means Clustering With Discriminative Embedding

Rong Wang, Feiping Nie, Xuelong Li, 2022, IEEE Transactions on Knowledge and Data Engineering.

Robust and discriminative distance for Multi-Instance Learning

Feiping Nie, Hua Wang, Heng Huang, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Adaptive Local Linear Discriminant Analysis

Feiping Nie, Xuelong Li, Rong Wang, 2020, ACM Trans. Knowl. Discov. Data.

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins

Jie Xu, Feiping Nie, Heng Huang, 2017, IJCAI.

Auto-weighted 2-dimensional maximum margin criterion

Xuelong Li, Feiping Nie, Han Zhang, 2018, Pattern Recognit..

Angle Principal Component Analysis

Feiping Nie, Xinbo Gao, Qianqian Wang, 2017, IJCAI.

Joint Principal Component and Discriminant Analysis for Dimensionality Reduction

Zhihui Li, Feiping Nie, Xiaowei Zhao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Robust Multiple Rank- $k$ Bilinear Projections for Unsupervised Learning

Xuelong Li, Feiping Nie, Han Zhang, 2019, IEEE Transactions on Image Processing.

On the schatten norm for matrix based subspace learning and classification

Feiping Nie, Fang Chen, Xinbo Gao, 2016, Neurocomputing.

New Graph Structured Sparsity Model for Multi-label Image Annotations

Feiping Nie, Heng Huang, Weidong Cai, 2013, 2013 IEEE International Conference on Computer Vision.

Fast Semi-Supervised Learning with Optimal Bipartite Graph

Rong Wang, Feiping Nie, Xuelong Li, 2020 .

Joint Structured Graph Learning and Unsupervised Feature Selection

Feiping Nie, Andrzej Cichocki, Yong Peng, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization

Feiping Nie, Andrzej Cichocki, Yong Peng, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Initialization Independent Clustering With Actively Self-Training Method

Xuelong Li, Dong Xu, Feiping Nie, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Semi-Supervised Classifications via Elastic and Robust Embedding

Feiping Nie, Hua Wang, Heng Huang, 2017, AAAI.

Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image

Rong Wang, Feiping Nie, Xuelong Li, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Optimal mean two-dimensional principal component analysis with F-norm minimization

Feiping Nie, Xinbo Gao, Qianqian Wang, 2017, Pattern Recognit..

Classification by semi-supervised discriminative regularization

Wenhua Wang, Yi Yang, Feiping Nie, 2010, Neurocomputing.

Towards Robust Discriminative Projections Learning via Non-Greedy

$\ell _{2,1}$

ℓ2,1

Rong Wang, Feiping Nie, Xuelong Li, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification

Feiping Nie, Xiaohua Tong, Haiyang Huang, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering

Feiping Nie, Junwei Han, Kai Xiong, 2017, IJCAI.

Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity pdf

Feiping Nie, Xuelong Li, Junwei Han, 2019, ArXiv.

A graph regularized dimension reduction method for out-of-sample data

Feiping Nie, Ramesh C. Jain, Mengfan Tang, 2017, Neurocomputing.

Nonlinear Dimensionality Reduction with Local Spline Embedding

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2009, IEEE Transactions on Knowledge and Data Engineering.

A Unified Weight Learning Paradigm for Multi-view Learning

Feiping Nie, Xuelong Li, Lai Tian, 2019, AISTATS.

Supervised and Projected Sparse Coding for Image Classification

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2013, AAAI.

Uncovering Locally Discriminative Structure for Feature Analysis pdf

Lina Yao, Quan Z. Sheng, Feiping Nie, 2016, ECML/PKDD.

Fast adaptive neighbors clustering via embedded clustering

Feiping Nie, Yijun Liu, Wujian Ye, 2020, Neurocomputing.

Robust and Sparse Fuzzy K-Means Clustering

Feiping Nie, Junwei Han, Kai Xiong, 2016, IJCAI.

Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix

Feiping Nie, Heng Huang, Xiaoqian Wang, 2016, KDD.

Deep Binary Reconstruction for Cross-Modal Hashing

Xuelong Li, Feiping Nie, Di Hu, 2017, IEEE Transactions on Multimedia.

Unsupervised Large Graph Embedding

Xuelong Li, Feiping Nie, Wei Zhu, 2017, AAAI.

New l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering

Feiping Nie, Xu Yang, Xianglong Liu, 2018, AAAI.

Joint Identification of Network Hub Nodes by Multivariate Graph Inference

Martin Styner, Feiping Nie, Xiaofeng Zhu, 2019, MICCAI.

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features

Nicu Sebe, Chengqi Zhang, Feiping Nie, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Semi-supervised Dimensionality Reduction via Harmonic Functions

Feiping Nie, Yi Wu, Chenping Hou, 2011, MDAI.

Graph-without-cut: An Ideal Graph Learning for Image Segmentation

Nicu Sebe, Feiping Nie, Heng Tao Shen, 2016, AAAI.

Social trust prediction using heterogeneous networks

Feiping Nie, Heng Huang, Yu Lei, 2013, TKDD.

Unsupervised Single and Multiple Views Feature Extraction with Structured Graph

Feiping Nie, Chenping Hou, Dongyun Yi, 2017, IEEE Transactions on Knowledge and Data Engineering.

Clustering and projected clustering with adaptive neighbors

Feiping Nie, Heng Huang, Xiaoqian Wang, 2014, KDD.

Optimal graph learning with partial tags and multiple features for image and video annotation

Nicu Sebe, Feiping Nie, Heng Tao Shen, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis

Feiping Nie, Chenping Hou, Dongyun Yi, 2019, IEEE Transactions on Cybernetics.

WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks

Feiping Nie, Zhijun Chen, Xingang Li, 2020, IEEE Transactions on Multimedia.

Trace Ratio Problem Revisited

Feiping Nie, Changshui Zhang, Yangqing Jia, 2009, IEEE Transactions on Neural Networks.

Contour Matching Based on Belief Propagation

Feiping Nie, Shiming Xiang, Changshui Zhang, 2006, ACCV.

Angle 2DPCA: A New Formulation for 2DPCA

Feiping Nie, Xinbo Gao, Yang Liu, 2018, IEEE Transactions on Cybernetics.

Convolutional 2D LDA for Nonlinear Dimensionality Reduction

Feiping Nie, Qi Wang, Yuan Yuan, 2017, IJCAI.

Learning high-dimensional correspondence via manifold learning and local approximation

Feiping Nie, Chenping Hou, Dongyun Yi, 2013, Neural Computing and Applications.

Regularized Singular Value Decomposition and Application to Recommender System pdf

Feiping Nie, Chris H. Q. Ding, Shuai Zheng, 2018, ArXiv.

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2011, 2011 International Conference on Computer Vision.

Auto-weighted two-dimensional principal component analysis with robust outliers

Xuelong Li, Feiping Nie, Rui Zhang, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large-scale adaptive semi-supervised learning via unified inductive and transductive model

Feiping Nie, Heng Huang, De Wang, 2014, KDD.

Local Regression and Global Information-Embedded Dimension Reduction

Feiping Nie, Fu Xiao, Junwei Han, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Balanced Clustering with Least Square Regression

Xuelong Li, Feiping Nie, Junwei Han, 2017, AAAI.

Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction

Feiping Nie, Junwei Han, Kai Xiong, 2017, IJCAI.

Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers pdf

Feiping Nie, Korris Fu-Lai Chung, Heng Huang, 2015, ArXiv.

Self-weighted discriminative feature selection via adaptive redundancy minimization

Feiping Nie, Tong Wu, Rui Zhang, 2018, Neurocomputing.

Matrix completion and vector completion via robust subspace learning

Feiping Nie, Zhanxuan Hu, Zhe Liu, 2018, Neurocomputing.

Embedding new data points for manifold learning via coordinate propagation

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2007, Knowledge and Information Systems.

Robust principal component analysis via optimal mean by joint ℓ2, 1 and Schatten p-norms minimization

Zhenhua Guo, Feiping Nie, Zhihui Lai, 2018, Neurocomputing.

Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification

Feiping Nie, Yong Peng, Wanzeng Kong, 2018, Complex..

Compound Rank- $k$ Projections for Bilinear Analysis

Feiping Nie, Sen Wang, Xiaojun Chang, 2014, IEEE Transactions on Neural Networks and Learning Systems.

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms pdf

Rong Wang, Feiping Nie, Heng Huang, 2019, ArXiv.

Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition

Feiping Nie, Chenping Hou, Dongyun Yi, 2018, IEEE Transactions on Knowledge and Data Engineering.

Adaptive Neighborhood MinMax Projections

Feiping Nie, Zheng Wang, Haifeng Zhao, 2018, Neurocomputing.

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2012, 2012 IEEE 12th International Conference on Data Mining.

Structured Graph Optimization for Unsupervised Feature Selection

Feiping Nie, Xuelong Li, Wei Zhu, 2019, IEEE Transactions on Knowledge and Data Engineering.

Spline Embedding for Nonlinear Dimensionality Reduction

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2006, ECML.

Unsupervised Feature Selection with Local Structure Learning

Xuelong Li, Feiping Nie, Sheng Yang, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Trace Ratio Criterion for Feature Selection

Feiping Nie, Shiming Xiang, Shuicheng Yan, 2008, AAAI.

3D Human Pose Recovery from Monocular Images via Effi cient Visual Feature Selection

Yi Yang, Feiping Nie, Jean-Marc Odobez, 2011 .

$\ell _{2,p}$ -Norm Based PCA for Image Recognition

Feiping Nie, Xinbo Gao, Qianqian Wang, 2018, IEEE Transactions on Image Processing.

Multiview Clustering via Adaptively Weighted Procrustes

Xuelong Li, Feiping Nie, Lai Tian, 2018, KDD.

Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis

Zhihui Li, Yi Yang, Feiping Nie, 2017, IEEE Transactions on Knowledge and Data Engineering.

Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification

Xuelong Li, Feiping Nie, Jing Li, 2016, IJCAI.

A Multiview-Based Parameter Free Framework for Group Detection

Xuelong Li, Feiping Nie, Qi Wang, 2017, AAAI.

Orthogonal least squares regression for feature extraction

Feiping Nie, Zheng Wang, Haifeng Zhao, 2016, Neurocomputing.

A forest of trees with principal direction specified oblique split on random subspace

Feiping Nie, Fei Wang, Rong Wang, 2020, Neurocomputing.

Supervised Dimensionality Reduction Methods via Recursive Regression

Feiping Nie, Xuelong Li, Rui Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Locality-Based Discriminant Feature Selection with Trace Ratio

Xuelong Li, Feiping Nie, Sheng Yang, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Exploiting the entire feature space with sparsity for automatic image annotation

Nicu Sebe, Yi Yang, Feiping Nie, 2011, ACM Multimedia.

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

Supervised Feature Selection With Orthogonal Regression and Feature Weighting

Feiping Nie, Xueyuan Xu, Jianhong Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

From Photo Streams to Evolving Situations pdf

Feiping Nie, Ramesh C. Jain, Siripen Pongpaichet, 2017, ArXiv.

Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means

Xuelong Li, Feiping Nie, Rui Zhang, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Unsupervised Discriminative Projection for Feature Selection

Feiping Nie, Xuelong Li, Rong Wang, 2022, IEEE Transactions on Knowledge and Data Engineering.

Feature Selection via Joint Embedding Learning and Sparse Regression

Feiping Nie, Yi Wu, Chenping Hou, 2011, IJCAI.

Bilateral k-Means Algorithm for Fast Co-Clustering

Xuelong Li, Feiping Nie, Junwei Han, 2017, AAAI.

Nuclear-norm based 2DLDA with application to face recognition

Yang Liu, Feiping Nie, Pu Zhang, 2019, Neurocomputing.

Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF

Feiping Nie, Heng Huang, Tom Weidong Cai, 2015, CIKM.

Exploiting Combination Effect for Unsupervised Feature Selection by $\ell_{2,0}$ Norm

Feiping Nie, Weiqing Wang, Yi Yang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Ranking with Adaptive Neighbors pdf

Feiping Nie, Liangyue Li, Muge Li, 2018, ArXiv.

Euler Label Consistent K-SVD for image classification and action recognition

Feiping Nie, Yang Liu, Xinbo Gao, 2018, Neurocomputing.

Multi-view Subspace Clustering

Xuelong Li, Feiping Nie, Heng Huang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Trust prediction via aggregating heterogeneous social networks

Feiping Nie, Heng Huang, Jin Huang, 2012, CIKM.

Semi-supervised sub-manifold discriminant analysis

Feiping Nie, Changshui Zhang, Yangqiu Song, 2008, Pattern Recognit. Lett..

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection

Xuelong Li, Yun Liu, Feiping Nie, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Flexible Shift-Invariant Locality and Globality Preserving Projections

Feiping Nie, Heng Huang, Xiao Cai, 2014, ECML/PKDD.

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, Bioinform..

Joint Schatten $$p$$p-norm and $$\ell _p$$ℓp-norm robust matrix completion for missing value recovery

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2013, Knowledge and Information Systems.

A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction

Feiping Nie, Haifeng Zhao, Zheng Wang, 2019, IEEE Transactions on Knowledge and Data Engineering.

Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression

Feiping Nie, Xiaojun Chen, Zhong Ming, 2020, IEEE Transactions on Knowledge and Data Engineering.

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers

Feiping Nie, Hua Wang, Lyujian Lu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning

Feiping Nie, Xiangmin Xu, Chunmei Qing, 2019, IEEE Transactions on Circuits and Systems for Video Technology.

Semi-supervised classification via both label and side information

Xuelong Li, Feiping Nie, Rui Zhang, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Harmonic Mean Linear Discriminant Analysis

Feiping Nie, Heng Huang, Chris Ding, 2019, IEEE Transactions on Knowledge and Data Engineering.

Semi-supervised Orthogonal Graph Embedding with Recursive Projections

Feiping Nie, Junwei Han, Hanyang Liu, 2017, IJCAI.

A Local and Global Discriminative Framework and Optimization for Balanced Clustering

Feiping Nie, Junwei Han, Hanyang Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Calibrated Multi-Task Learning

Xuelong Li, Feiping Nie, Zhanxuan Hu, 2018, KDD.

Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking

Feiping Nie, Junwei Han, Dingwen Zhang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Feature Selection via Adaptive Multimeasure Fusion

Xuelong Li, Feiping Nie, Rui Zhang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Efficient Image Classification via Multiple Rank Regression

Feiping Nie, Yi Wu, Chenping Hou, 2013, IEEE Transactions on Image Processing.

Large-Scale Multi-View Spectral Clustering via Bipartite Graph

Feiping Nie, Heng Huang, Junzhou Huang, 2015, AAAI.

Learning a subspace for face image clustering via trace ratio criterion

Feiping Nie, Chenping Hou, Changshui Zhang, 2009 .

Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data

Feiping Nie, Chenping Hou, Dongyun Yi, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm

Feiping Nie, Chris H. Q. Ding, Ji Liu, 2014, NIPS.

Regularized Class-Specific Subspace Classifier

Xuelong Li, Feiping Nie, Rui Zhang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Multi-Class L2,1-Norm Support Vector Machine

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, 2011 IEEE 11th International Conference on Data Mining.

Learning a subspace for clustering via pattern shrinking

Feiping Nie, Yi Wu, Chenping Hou, 2013, Inf. Process. Manag..

Deep LDA Hashing pdf

Xuelong Li, Feiping Nie, Di Hu, 2018, ArXiv.

Semi-supervised Feature Selection via Rescaled Linear Regression

Feiping Nie, Joshua Zhexue Huang, Xiaojun Chen, 2017, IJCAI.

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion

Shu Liao, Daoqiang Zhang, Dinggang Shen, 2013, MICCAI.

The Constrained Laplacian Rank Algorithm for Graph-Based Clustering

Feiping Nie, Heng Huang, Michael I. Jordan, 2016, AAAI.

Regression Reformulations of LLE and LTSA With Locally Linear Transformation

Feiping Nie, Shiming Xiang, Chunhong Pan, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Deep Co-Clustering for Unsupervised Audiovisual Learning pdf

Xuelong Li, Feiping Nie, Di Hu, 2018, ArXiv.

Changshui Zhang. Extracting the Optimal Dimensionality for Discriminant Analysis

Feiping Nie, Shiming Xiang, Yangqiu Song, 2007 .

Structured Graph Reconstruction for Scalable Clustering

Feiping Nie, Xuelong Li, Kai Xiong, 2021, IEEE Transactions on Knowledge and Data Engineering.

Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification

Feiping Nie, Yong Peng, Wanzeng Kong, 2018, Complex..

Deep Binary Reconstruction for Cross-Modal Hashing

Xuelong Li, Feiping Nie, Di Hu, 2019 .

A Comprehensive Survey for Low Rank Regularization pdf

Xuelong Li, Feiping Nie, Zhanxuan Hu, 2018, ArXiv.

Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding

Rong Wang, Feiping Nie, Zhanxuan Hu, 2020, Inf. Fusion.

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering

Feiping Nie, Heng Huang, Jin Huang, 2015, IJCAI.

Semi-supervised Uncorrelated Feature Selection

Feiping Nie, Xiaojun Chen, Weichan Zhong, 2019 .

Semisupervised Learning With Parameter-Free Similarity of Label and Side Information

Xuelong Li, Feiping Nie, Rui Zhang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

Feiping Nie, Chenping Hou, Shiming Xiang, 2012, Pattern Recognit. Lett..

Multiclass discriminant analysis via adaptive weighted scheme

Feiping Nie, Zheng Wang, Bowen Zhang, 2020, Neurocomputing.

Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition

Dong Xu, Feiping Nie, Yi Huang, 2010, 2010 IEEE International Conference on Image Processing.

Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning

Rong Wang, Feiping Nie, Fei Wang, 2019, IEEE Transactions on Knowledge and Data Engineering.

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

Zhenyu He, Shuangyan Yi, Feiping Nie, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Re-Weighted Discriminatively Embedded $K$ -Means for Multi-View Clustering

Feiping Nie, Junwei Han, Jinglin Xu, 2017, IEEE Transactions on Image Processing.

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model

Yang Wang, Andrew J. Saykin, Feiping Nie, 2014, MICCAI.

Unsupervised automatic attribute discovery method via multi-graph clustering

Feiping Nie, Brian C. Lovell, Arnold Wiliem, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Feature Learning Viewpoint of Adaboost and a New Algorithm

Rong Wang, Feiping Nie, Fei Wang, 2019, IEEE Access.

Social Trust Prediction Using Rank-k Matrix Recovery

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2013, IJCAI.

A generative probability model of joint label fusion for multi-atlas based brain segmentation

Daoqiang Zhang, Dinggang Shen, Feiping Nie, 2014, Medical Image Anal..

Nonnegative Spectral Clustering with Discriminative Regularization

Rongrong Ji, Yi Yang, Feiping Nie, 2011, AAAI.

A Multiview Learning Framework With a Linear Computational Cost

Feiping Nie, Xue Li, Min Yao, 2018, IEEE Transactions on Cybernetics.

New l1-Norm Relaxations and Optimizations for Graph Clustering

Xuelong Li, Feiping Nie, Hua Wang, 2016, AAAI.

Unsupervised Deep Hashing with Structured Similarity Learning

Feiping Nie, Xiaojun Chen, Shu Yang, 2020, APWeb/WAIM.

Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning

Wei Liu, Feiping Nie, Korris Fu-Lai Chung, 2015, IJCAI.

Dense Multimodal Fusion for Hierarchically Joint Representation

Feiping Nie, Xuelong Li, Di Hu, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Local Shrunk Discriminant Analysis (LSDA) pdf

Feiping Nie, Hua Zhang, Zan Gao, 2017, ArXiv.

Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning

Feiping Nie, Shiming Xiang, Changshui Zhang, 2006, ACCV.

Low Rank Regularization: A review

Rong Wang, Xuelong Li, Feiping Nie, 2018, Neural Networks.

Scalable and Flexible Unsupervised Feature Selection

Rong Wang, Feiping Nie, Xiaojun Yang, 2019, Neural Computation.

Refined Spectral Clustering via Embedded Label Propagation

Zhihui Li, Feiping Nie, Heng Huang, 2017, Neural Computation.

Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction

Qinghua Zheng, Yi Yang, Feiping Nie, 2017, Neural Computation.

Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning

Feiping Nie, Xiaojiang Chen, Sen Wang, 2017, Neural Computation.

Co-Clustering Ensemble Based on Bilateral K-Means Algorithm

Feiping Nie, Hui Yang, Jianyong Zhu, 2020, IEEE Access.

Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation

Rong Wang, Xuelong Li, Feiping Nie, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improved Spectral Clustering via Embedded Label Propagation pdf

Yi Yang, Feiping Nie, Heng Huang, 2014, ArXiv.

Spectral Embedded Adaptive Neighbors Clustering

Xuelong Li, Feiping Nie, Qi Wang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Multi-Subspace Representation and Discovery

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, ECML/PKDD.

Semi-Supervised Feature Selection with Adaptive Discriminant Analysis

Feiping Nie, Xiaojun Chen, Guowen Yuan, 2019, AAAI.

Multi-view embedded clustering with unsupervised trace ratio LDA

Fei Wang, Rong Wang, Feiping Nie, 2018, Neurocomputing.

Optimal Projection Guided Transfer Hashing for Image Retrieval

Feiping Nie, Yang Yang, Ji Liu, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

NP-PROV: Neural Processes with Position-Relevant-Only Variances pdf

Feiping Nie, Lina Yao, Xuesong Wang, 2020, WISE.

Adaptive graph weighting for multi-view dimensionality reduction

Feiping Nie, Cheng Deng, Xinyi Xu, 2019, Signal Process..

Spectral clustering based on iterative optimization for large-scale and high-dimensional data

Feiping Nie, Qi Wang, Yang Zhao, 2018, Neurocomputing.

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, Bioinform..

A Probabilistic Derivation of LASSO and L12-Norm Feature Selections

Feiping Nie, Chris Ding, Di Ming, 2019, AAAI.

Embedding New Data Points for Manifold Learning Via Coordinate Propagation

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2007, PAKDD.

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut

Feiping Nie, Min Yang, Joshua Zhexue Huang, 2018, KDD.

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression

Qinghua Zheng, Feiping Nie, Lingling Zhang, 2017, IJCAI.

Nuclear-norm based semi-supervised multiple labels learning

Feiping Nie, Yang Liu, Quanxue Gao, 2018, Neurocomputing.

A Convex Formulation for Spectral Shrunk Clustering

Yi Yang, Feiping Nie, Xiaojun Chang, 2015, AAAI.

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering

Feiping Nie, Heng Huang, De Wang, 2016, IJCAI.

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph

Rong Wang, Xuelong Li, Feiping Nie, 2020, IEEE Transactions on Cybernetics.

Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification

Xuelong Li, Feiping Nie, Jing Li, 2018, IEEE Transactions on Image Processing.

Learning Task Relational Structure for Multi-task Feature Learning

Feiping Nie, Heng Huang, De Wang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Nonlinear dimensionality reduction with relative distance comparison

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2009, Neurocomputing.

Decision Tree SVM: An extension of linear SVM for non-linear classification

Feiping Nie, Xuelong Li, Wei Zhu, 2020, Neurocomputing.

Multiclass Capped ℓp-Norm SVM for Robust Classifications

Feiping Nie, Heng Huang, Xiaoqian Wang, 2017, AAAI.

Globally and Locally Consistent Unsupervised Projection

Feiping Nie, Hua Wang, Heng Huang, 2014, AAAI.

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, IJCAI.

Fast unsupervised feature selection with anchor graph and ℓ2,1-norm regularization

Rong Wang, Feiping Nie, Xiaojun Yang, 2017, Multimedia Tools and Applications.

Dyadic transfer learning for cross-domain image classification

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, 2011 International Conference on Computer Vision.

Rank-Constrained Spectral Clustering With Flexible Embedding

Feiping Nie, Xiaojun Chang, Yi Yang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

On the eigenvectors of p-Laplacian

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, Machine Learning.

Balanced k-Means and Min-Cut Clustering pdf

Yi Yang, Feiping Nie, Xiaojun Chang, 2014, ArXiv.

A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection

Xuelong Li, Feiping Nie, Han Zhang, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust and Discriminative Self-Taught Learning

Feiping Nie, Hua Wang, Heng Huang, 2013, ICML.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Adaptive Loss Minimization for Semi-Supervised Elastic Embedding

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2022 .

Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning

Feiping Nie, Xiaojun Chang, Lei Shi, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

Lina Yao, Feiping Nie, Xiaojun Chang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Fair and cache blocking aware warp scheduling for concurrent kernel execution on GPU

Feiping Nie, Fei Wang, Huiyang Zhou, 2020, Future Gener. Comput. Syst..

Extracting the optimal dimensionality for local tensor discriminant analysis

Feiping Nie, Shiming Xiang, Changshui Zhang, 2009, Pattern Recognit..

Worst-Case Discriminative Feature Selection

Feiping Nie, Yang Liu, Xiangdong Zhang, 2019, IJCAI.

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2012, NIPS.

Multitask Spectral Clustering by Exploring Intertask Correlation

Yang Yang, Yi Yang, Feiping Nie, 2015, IEEE Transactions on Cybernetics.

Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint

Feiping Nie, Jikui Wang, Zhengguo Yang, 2020, ICA3PP.

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2012, RECOMB.

Neighborhood MinMax Projections

Feiping Nie, Shiming Xiang, Changshui Zhang, 2007, IJCAI.

Capped Lp-Norm Graph Embedding for Photo Clustering

Feiping Nie, Ramesh C. Jain, Mengfan Tang, 2016, ACM Multimedia.

Efficient Feature Selection via $\ell _{2, 0}$ℓ2, 0-norm Constrained Sparse Regression

Feiping Nie, Junwei Han, Xuelong Li, 2019, IEEE Trans. Knowl. Data Eng..

Local PurTree Spectral Clustering for Massive Customer Transaction Data

Feiping Nie, Joshua Zhexue Huang, Yong Ming, 2017, IEEE Intelligent Systems.

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut

Yang Wang, Lin Yan, Joaquín Goñi, 2015, MICCAI.

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement

Chen Wang, Feiping Nie, Liping Jing, 2018, AAAI.

A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization

Xuelong Li, Feiping Nie, Sheng Yang, 2019, IEEE Transactions on Image Processing.

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data

Feiping Nie, Xuelong Li, Fang He, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

New primal SVM solver with linear computational cost for big data classifications

Feiping Nie, Yizhen Huang, Xiaoqian Wang, 2014, ICML 2014.

Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model

Feiping Nie, Heng Huang, Weidong Cai, 2013, 2013 IEEE International Conference on Computer Vision.

Learning from less for better: semi-supervised activity recognition via shared structure discovery

Lina Yao, Quan Z. Sheng, Feiping Nie, 2016, UbiComp.

Self-Weighted Adaptive Locality Discriminant Analysis

Xuelong Li, Feiping Nie, Muhan Guo, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Large-Scale Robust Semisupervised Classification

Qinghua Zheng, Feiping Nie, Lingling Zhang, 2019, IEEE Transactions on Cybernetics.

Image Classification by Cross-Media Active Learning With Privileged Information

Yi Yang, Dong Xu, Feiping Nie, 2016, IEEE Transactions on Multimedia.

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition

Feiping Nie, Shiming Xiang, Changshui Zhang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models

Feiping Nie, Xueming Qian, Junwei Han, 2018, IEEE Transactions on Multimedia.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Exact Top-k Feature Selection via ℓ2,0-Norm Constraint

Feiping Nie, Heng Huang, Xiao Cai, 2022 .

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes

Feiping Nie, Heng Huang, Dajiang Zhu, 2012, MICCAI.

Perception, Aesthetics, and Emotion in Multimedia Quality Modeling [Editorial]

Ling Shao, Feiping Nie, Yi Yang, 2016 .

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis

Andrew J. Saykin, Feiping Nie, Jingwen Yan, 2013, MICCAI.

Rank-$k$ 2-D Multinomial Logistic Regression for Matrix Data Classification

Feiping Nie, Junwei Han, Xuelong Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering

Ivor W. Tsang, Dong Xu, Feiping Nie, 2011, IEEE Transactions on Neural Networks.

Multiple view semi-supervised dimensionality reduction

Feiping Nie, Yi Wu, Chenping Hou, 2010, Pattern Recognit..

Embedded clustering via robust orthogonal least square discriminant analysis

Xuelong Li, Feiping Nie, Rui Zhang, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A unified framework for semi-supervised dimensionality reduction

Feiping Nie, Shiming Xiang, Changshui Zhang, 2008, Pattern Recognit..

A Non-Greedy Algorithm for L1-Norm LDA

Feiping Nie, Yunsong Li, Yang Liu, 2017, IEEE Transactions on Image Processing.

Multiview Consensus Graph Clustering

Feiping Nie, Yi Yang, Kun Zhan, 2019, IEEE Transactions on Image Processing.

Robust Low Rank Approxiamtion via Inliers Selection

Xuelong Li, Feiping Nie, Zhanxuan Hu, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification

Zhihui Li, Lina Yao, Feiping Nie, 2018, AAAI.

Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression

Xuelong Li, Dong Xu, Feiping Nie, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

Ivor W. Tsang, Dong Xu, Feiping Nie, 2010, IEEE Transactions on Image Processing.

Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation

Nicu Sebe, Feiping Nie, Heng Tao Shen, 2016, IEEE Transactions on Image Processing.

Multi-view Feature Learning with Discriminative Regularization

Feiping Nie, Junwei Han, Jinglin Xu, 2017, IJCAI.

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms pdf

Feiping Nie, Heng Huang, Zheng Wang, 2019, ArXiv.

Discrete Spectral Hashing for Efficient Similarity Retrieval

Xuelong Li, Feiping Nie, Di Hu, 2019, IEEE Transactions on Image Processing.

Spectral Clustering by Joint Spectral Embedding and Spectral Rotation

Xuelong Li, Feiping Nie, Jin Xie, 2020, IEEE Transactions on Cybernetics.

Multi-View Scaling Support Vector Machines for Classification and Feature Selection

Junwei Han, Feiping Nie, Jinglin Xu, 2020, IEEE Transactions on Knowledge and Data Engineering.

An investigation for loss functions widely used in machine learning

Xuelong Li, Feiping Nie, Zhanxuan Hu, 2018, Commun. Inf. Syst..

Agglomerative Neural Networks for Multiview Clustering

Lina Yao, Feiping Nie, Xianzhi Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation

Wenhua Wang, Yi Yang, Feiping Nie, 2010, AAAI.

Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling

Ling Shao, Luming Zhang, Yi Yang, 2016, IEEE Multim..

Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering

Feiping Nie, Xiwen Yao, Junwei Han, 2017, IEEE Transactions on Image Processing.

Thinking of Images as What They Are: Compound Matrix Regression for Image Classification

Nicu Sebe, Yi Yang, Feiping Nie, 2013, IJCAI.

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2013, IPMI.

Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor

Yi Yang, Feiping Nie, Yueting Zhuang, 2011, IEEE Transactions on Visualization and Computer Graphics.

Self-weighted Multiview Clustering with Multiple Graphs

Xuelong Li, Feiping Nie, Jing Li, 2017, IJCAI.

Learning frame relevance for video classification

Yi Yang, Feiping Nie, Hua Wang, 2011, MM '11.

Speed up dynamic time warpingof multivariate time series

Jian Wang, Feiping Nie, Hailin Li, 2019, J. Intell. Fuzzy Syst..

Semisupervised Learning Using Negative Labels

Fei Wang, Feiping Nie, Yi Wu, 2011, IEEE Transactions on Neural Networks.

Unsupervised Feature Analysis with Class Margin Optimization pdf

Lina Yao, Quan Z. Sheng, Feiping Nie, 2015, ECML/PKDD.

Auto-weighted multi-view co-clustering via fast matrix factorization

Feiping Nie, Xuelong Li, Shaojun Shi, 2020, Pattern Recognit..

A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering

Yihong Gong, Feiping Nie, Jiande Sun, 2017, Neural Computation.

Fast Multi-View Semi-Supervised Learning With Learned Graph

Feiping Nie, Fei Wang, Bin Zhang, 2022, IEEE Transactions on Knowledge and Data Engineering.

C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction

Feiping Nie, Qi Wang, Xuelong Li, 2021, IEEE Transactions on Industrial Electronics.

Maximum Margin Multi-Instance Learning

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, NIPS.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Multi-View K-Means Clustering on Big Data

Feiping Nie, Heng Huang, Xiao Cai, 2022 .

2D Feature Selection by Sparse Matrix Regression

Feiping Nie, Chenping Hou, Yuanyuan Jiao, 2017, IEEE Transactions on Image Processing.

Matrix Completion Based on Non-Convex Low-Rank Approximation

Xuelong Li, Feiping Nie, Zhanxuan Hu, 2019, IEEE Transactions on Image Processing.

Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition

Dong Xu, Feiping Nie, Yi Huang, 2012, IEEE Transactions on Circuits and Systems for Video Technology.

Consensus spectral clustering in near-linear time

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, 2011 IEEE 27th International Conference on Data Engineering.

Unsupervised Feature Selection with Structured Graph Optimization

Xuelong Li, Feiping Nie, Wei Zhu, 2016, AAAI.

Discriminative Unsupervised Dimensionality Reduction

Feiping Nie, Heng Huang, Yun Liu, 2015, IJCAI.

Spectral Rotation versus K-Means in Spectral Clustering

Feiping Nie, Heng Huang, Jin Huang, 2013, AAAI.

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, 2011 IEEE 11th International Conference on Data Mining.

Early Active Learning via Robust Representation and Structured Sparsity

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2013, IJCAI.

Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images

Rong Wang, Feiping Nie, Weizhong Yu, 2017, IEEE Geoscience and Remote Sensing Letters.

A Flexible and Effective Linearization Method for Subspace Learning

Ivor W. Tsang, Feiping Nie, Changshui Zhang, 2013 .

Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight

Feiping Nie, Chenping Hou, Dongyun Yi, 2017, IEEE Transactions on Knowledge and Data Engineering.

Detecting Coherent Groups in Crowd Scenes by Multiview Clustering

Feiping Nie, Xuelong Li, Qi Wang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

SVM based multi-label learning with missing labels for image annotation

Feiping Nie, Yang Liu, Xinbo Gao, 2018, Pattern Recognit..

Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines

Feiping Nie, Junwei Han, Jinglin Xu, 2017, International Joint Conference on Artificial Intelligence.

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering

Fillia Makedon, Feiping Nie, Hua Wang, 2011, IJCAI.

Local Centroids Structured Non-Negative Matrix Factorization

Feiping Nie, Heng Huang, Hongchang Gao, 2017, AAAI.

Cauchy Graph Embedding

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2011, ICML.

Robust Discrete Matrix Completion

Feiping Nie, Heng Huang, Jin Huang, 2013, AAAI.

Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method

Kai Liu, Feiping Nie, Hua Wang, 2019, IJCAI.

LABIN: Balanced Min Cut for Large-Scale Data

Xiaojun Chen, Feiping Nie, Qingyao Wu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive-weighting discriminative regression for multi-view classification

Feiping Nie, Cheng Deng, Muli Yang, 2019, Pattern Recognit..

A Self-Balanced Min-Cut Algorithm for Image Clustering

Feiping Nie, Qingyao Wu, Joshua Zhexue Huang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Multi-view spectral clustering via sparse graph learning

Feiping Nie, Wei Chang, Zhanxuan Hu, 2020, Neurocomputing.

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2011, MICCAI.

Unsupervised maximum margin feature selection via L2,1-norm minimization

Feiping Nie, Yi Wu, Chenping Hou, 2012, Neural Computing and Applications.

Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances

Kai Liu, Feiping Nie, Hua Wang, 2019, IJCAI.

Large-Scale Spectral Clustering Based on Representative Points

Feiping Nie, Xuemei Liu, Libo Yang, 2019 .

Scalable Normalized Cut with Improved Spectral Rotation

Feiping Nie, Min Yang, Joshua Zhexue Huang, 2017, IJCAI.

Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information

Xuelong Li, Feiping Nie, Rui Zhang, 2018, CIKM.

Balanced Clustering via Exclusive Lasso: A Pragmatic Approach

Yi Yang, Zhihui Li, Feiping Nie, 2018, AAAI.

Semi-Supervised Multi-label Dimensionality Reduction

Feiping Nie, Chenping Hou, Dongyun Yi, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond

Haibo He, Nitesh V. Chawla, Barak A. Pearlmutter, 2016, IEEE Trans. Neural Networks Learn. Syst..

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, SIGIR.

Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

Feiping Nie, Bo Zhou, Yanwei Pang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery

Feiping Nie, Ming-Yu Wang, Yan-shuo Chang, 2017, Neural Computation.

Efficient multi-class unlabeled constrained semi-supervised SVM

Feiping Nie, Changshui Zhang, Mingjie Qian, 2009, CIKM.

Semi-supervised orthogonal discriminant analysis via label propagation

Feiping Nie, Shiming Xiang, Changshui Zhang, 2009, Pattern Recognit..

Feature Selection at the Discrete Limit

Feiping Nie, Chris H. Q. Ding, Miao Zhang, 2014, AAAI.

Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data

Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization

Feiping Nie, Rui Zhang, Xuelong Li, 2020, IEEE Transactions on Fuzzy Systems.

PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data

Feiping Nie, Joshua Zhexue Huang, Zhou Zhao, 2018, IEEE Transactions on Knowledge and Data Engineering.

Fast algorithm for large-scale subspace clustering by LRR

Feiping Nie, Quanxue Gao, Song Xiao, 2020, IET Image Process..

Learning Instance Specific Distance for Multi-Instance Classification

Feiping Nie, Hua Wang, Heng Huang, 2011, AAAI.

Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding

Yi Yang, Feiping Nie, Yueting Zhuang, 2012, IEEE Transactions on Image Processing.

Feature selection under regularized orthogonal least square regression with optimal scaling

Feiping Nie, Xuelong Li, Rui Zhang, 2018, Neurocomputing.

Dynamic vehicle routing with stochastic requests

Ivor W. Tsang, Dong Xu, Feiping Nie, 2003, IJCAI 2003.

3D human pose recovery from image by efficient visual feature selection

Yi Yang, Feiping Nie, Jean-Marc Odobez, 2011, Comput. Vis. Image Underst..

Two dimensional Large Margin Nearest Neighbor for Matrix Classification

Feiping Nie, Junwei Han, Kun Song, 2017, IJCAI.

Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning

Xuelong Li, Feiping Nie, Junwei Han, 2017, AAAI.

Unsupervised and Semisupervised Projection With Graph Optimization

Feiping Nie, Xuelong Li, Xia Dong, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A General Framework for Dimensionality Reduction of K-Means Clustering

Feiping Nie, Yanni Xiao, Tong Wu, 2019, Journal of Classification.

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction

Shannon L. Risacher, Andrew J. Saykin, Feiping Nie, 2012, NIPS.

Robust feature selection via simultaneous sapped norm and sparse regularizer minimization

Feiping Nie, Chenping Hou, Dongyun Yi, 2018, Neurocomputing.

Robust 2DPCA With Non-greedy $\ell _{1}$ -Norm Maximization for Image Analysis

Rong Wang, Feiping Nie, Feifei Gao, 2015, IEEE Transactions on Cybernetics.

Enhanced Balanced Min Cut

Feiping Nie, Joshua Zhexue Huang, Weijun Hong, 2020, International Journal of Computer Vision.

Graph Structure Fusion for Multiview Clustering

Feiping Nie, Changqing Zhang, Yi Yang, 2019, IEEE Transactions on Knowledge and Data Engineering.

Convex Sparse PCA for Unsupervised Feature Learning

Chengqi Zhang, Yi Yang, Feiping Nie, 2014, ACM Trans. Knowl. Discov. Data.

Multiple rank multi-linear SVM for matrix data classification

Feiping Nie, Yi Wu, Chenping Hou, 2014, Pattern Recognit..

Harnessing Lab Knowledge for Real-World Action Recognition

Nicu Sebe, Yi Yang, Feiping Nie, 2014, International Journal of Computer Vision.

Self-Weighted Clustering With Adaptive Neighbors

Feiping Nie, Xuelong Li, Rong Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Efficient tree classifiers for large scale datasets

Fei Wang, Rong Wang, Quan Wang, 2018, Neurocomputing.

Locality Adaptive Discriminant Analysis

Xuelong Li, Feiping Nie, Qi Wang, 2017, IJCAI.

Multi-View Clustering Via Mixed Embedding Approximation

Feiping Nie, Xuelong Li, Rong Wang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Closed Form Solution to Multi-View Low-Rank Regression

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2015, AAAI.

Flexible unsupervised feature extraction for image classification

Ling Shao, Feiping Nie, Xinbo Gao, 2019, Neural Networks.

Self-weighted spectral clustering with parameter-free constraint

Xuelong Li, Feiping Nie, Rui Zhang, 2017, Neurocomputing.

Robust and Efficient Linear Discriminant Analysis With L2,1-Norm for Feature Selection

Feiping Nie, Yang Liu, Libo Yang, 2020, IEEE Access.

Probabilistic Labeled Semi-supervised SVM

Feiping Nie, Changshui Zhang, Mingjie Qian, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Deep Multimodal Clustering for Unsupervised Audiovisual Learning

Xuelong Li, Feiping Nie, Di Hu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Joint Graph Learning and Video Segmentation via Multiple Cues and Topology Calibration

Nicu Sebe, Feiping Nie, Fumin Shen, 2016, ACM Multimedia.

Subspace Sparse Discriminative Feature Selection

Feiping Nie, Xuelong Li, Zheng Wang, 2020, IEEE Transactions on Cybernetics.

Large Graph Hashing with Spectral Rotation

Xuelong Li, Feiping Nie, Di Hu, 2017, AAAI.

Multi-View Correlated Feature Learning by Uncovering Shared Component

Feiping Nie, Sen Wang, Xiaojun Chang, 2017, AAAI.

Projective Unsupervised Flexible Embedding with Optimal Graph

Nicu Sebe, Feiping Nie, Shuicheng Yan, 2016, BMVC.

Orthogonal locality minimizing globality maximizing projections for feature extraction

Feiping Nie, Shiming Xiang, Changshui Zhang, 2009 .

Listen to the Image

Xuelong Li, Dong Wang, Feiping Nie, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Robust Locality Preserving Projection via p-Order Minimization

Feiping Nie, Hua Wang, Heng Huang, 2015, AAAI.

Extracting the Optimal Dimensionality for Discriminant Analysis

Feiping Nie, Shiming Xiang, Changshui Zhang, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Feature Selection via Global Redundancy Minimization

Feiping Nie, Heng Huang, De Wang, 2015, IEEE Transactions on Knowledge and Data Engineering.

Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information

Xuelong Li, Feiping Nie, Xian Wei, 2019, IEEE Transactions on Image Processing.

Intrinsic Weight Learning Approach for Multi-view Clustering pdf

Feiping Nie, Xuelong Li, Jing Li, 2019, ArXiv.

Learning an Orthogonal and Smooth Subspace for Image Classification

Feiping Nie, Yi Wu, Chenping Hou, 2009, IEEE Signal Processing Letters.

Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ1-Norm Maximization

Qinghua Zheng, Yi Yang, Feiping Nie, 2016, IJCAI.

Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection

Nicu Sebe, Yi Yang, Feiping Nie, 2012, IEEE Transactions on Multimedia.

Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction

Rong Wang, Feiping Nie, Xiaojun Chang, 2017, IEEE Transactions on Image Processing.

Projected clustering via robust orthogonal least square regression with optimal scaling

Xuelong Li, Feiping Nie, Rui Zhang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System

Feiping Nie, Chen Zhao, Wu Gao, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Self-Weighted Supervised Discriminative Feature Selection

Feiping Nie, Rui Zhang, Xuelong Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

An improved locality preserving projection with ℓ1-norm minimization for dimensionality reduction

Fei Wang, Rong Wang, Feiping Nie, 2018, Neurocomputing.

Contour graph based human tracking and action sequence recognition

Feiping Nie, Shiming Xiang, Changshui Zhang, 2008, Pattern Recognit..

Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking

Feiping Nie, Dapeng Tao, Xu Yang, 2020, IEEE Transactions on Multimedia.

Joint Structured Graph Learning and Clustering Based on Concept Factorization

Feiping Nie, Andrzej Cichocki, Yong Peng, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An efficient framework for unsupervised feature selection

Feiping Nie, Xuelong Li, Han Zhang, 2019, Neurocomputing.

Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours

Xuelong Li, Feiping Nie, Guohao Cai, 2017, AAAI.

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, NIPS.

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery

Feiping Nie, Xuelong Li, Zhen Wang, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Curriculum Audiovisual Learning pdf

Feiping Nie, Haoyi Xiong, Dejing Dou, 2020, ArXiv.

A general graph-based semi-supervised learning with novel class discovery

Feiping Nie, Shiming Xiang, Changshui Zhang, 2010, Neural Computing and Applications.

Auto-weighted multi-view clustering via spectral embedding

Rong Wang, Feiping Nie, Xuelong Li, 2020, Neurocomputing.

Interactive Visual Object Extraction Based on Belief Propagation

Feiping Nie, Shiming Xiang, Chunxia Zhang, 2007, MMM.

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

Xuelong Li, Feiping Nie, Yi Wu, 2014, IEEE Transactions on Cybernetics.

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm

Feiping Nie, Heng Huang, Zhouyuan Huo, 2016, KDD.

Fast spectral clustering learning with hierarchical bipartite graph for large-scale data

Rong Wang, Feiping Nie, Guohao Zhang, 2020, Pattern Recognit. Lett..

Learning a Mahalanobis distance metric for data clustering and classification

Feiping Nie, Shiming Xiang, Changshui Zhang, 2008, Pattern Recognit..

Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation

Feiping Nie, Yong Peng, Wanzeng Kong, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convex Multiview Semi-Supervised Classification

Xuelong Li, Feiping Nie, Jing Li, 2017, IEEE Transactions on Image Processing.

Fast Spectral Clustering with efficient large graph construction

Xuelong Li, Feiping Nie, Wei Zhu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Convex Formulation for Semi-Supervised Multi-Label Feature Selection

Yi Yang, Feiping Nie, Heng Huang, 2014, AAAI.

K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters

Feiping Nie, Xuelong Li, Cheng-Long Wang, 2019, KDD.

Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery

Feiping Nie, Brian C. Lovell, Arnold Wiliem, 2018, IEEE Transactions on Image Processing.

Robust Manifold Nonnegative Matrix Factorization

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2014, ACM Trans. Knowl. Discov. Data.

Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations

Feiping Nie, Chenping Hou, Shiming Xiang, 2009, Neural Processing Letters.

Exemplar-Based Human Contour Tracking

Feiping Nie, Shiming Xiang, Changshui Zhang, 2006, ACCV.

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease

Dinggang Shen, Feiping Nie, Xiaofeng Zhu, 2016, MICCAI.

Directly Solving the Original Ratiocut Problem for Effective Data Clustering

Xuelong Li, Feiping Nie, Jing Li, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Semi-Supervised Dimension Reduction Using Trace Ratio Criterion

Dong Xu, Feiping Nie, Yi Huang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Interactive Image Segmentation With Multiple Linear Reconstructions in Windows

Feiping Nie, Shiming Xiang, Chunhong Pan, 2011, IEEE Transactions on Multimedia.

Learning Feature Sparse Principal Components pdf

Feiping Nie, Xuelong Li, Lai Tian, 2019, ArXiv.

Learning Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the l1-Norm Distances

Kai Liu, Feiping Nie, Hao Zhang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Adaptive Unsupervised Feature Selection With Structure Regularization

Qinghua Zheng, Feiping Nie, Minnan Luo, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Fast and Flexible Large Graph Embedding Based on Anchors

Xuelong Li, Fei Wang, Rong Wang, 2018, IEEE Journal of Selected Topics in Signal Processing.

Multi‐modal classification of neurodegenerative disease by progressive graph‐based transductive learning

Feiping Nie, Xiaofeng Zhu, Ehsan Adeli, 2017, Medical Image Anal..

Discrete Multi-Graph Clustering

Feiping Nie, Minnan Luo, Xiaojun Chang, 2019, IEEE Transactions on Image Processing.

Low-Rank Tensor Completion with Spatio-Temporal Consistency

Feiping Nie, Hua Wang, Heng Huang, 2014, AAAI.

Effective Discriminative Feature Selection With Nontrivial Solution

Feiping Nie, Chenping Hou, Yuanyuan Jiao, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Modified fuzzy clustering with segregated cluster centroids

Feiping Nie, Deanna Needell, Yanni Xiao, 2019, Neurocomputing.

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK)

Feiping Nie, Heng Huang, De Wang, 2014, ECML/PKDD.

Semi-supervised feature selection based on label propagation and subset selection

Feiping Nie, Jigang Wu, Lihui Chen, 2010, 2010 International Conference on Computer and Information Application.

Linear Time Solver for Primal SVM

Feiping Nie, Heng Huang, Yizhen Huang, 2014, International Conference on Machine Learning.

Discriminating Joint Feature Analysis for Multimedia Data Understanding

Nicu Sebe, Yi Yang, Feiping Nie, 2012, IEEE Transactions on Multimedia.

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2010, ECML/PKDD.

Largest center-specific margin for dimension reduction

Feiping Nie, Qi Wang, Yuan Yuan, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A generalized power iteration method for solving quadratic problem on the Stiefel manifold

Xuelong Li, Feiping Nie, Rui Zhang, 2017, Science China Information Sciences.

Feiping Nie, Tao Wu, Jiansheng Guo, 2019, IEEE Access.

On the optimal solution to maximum margin projection pursuit

Feiping Nie, Quanxue Gao, Deyan Xie, 2019, Multimedia Tools and Applications.

Joint Capped Norms Minimization for Robust Matrix Recovery

Feiping Nie, Heng Huang, Zhouyuan Huo, 2017, IJCAI.

Discriminant Analysis via Joint Euler Transform and $\ell_{2,1}$ -Norm

Feiping Nie, Fang Chen, Jungong Han, 2018, IEEE Transactions on Image Processing.

Hierarchical Feature Selection for Random Projection

Xuelong Li, Feiping Nie, Qi Wang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Efficient semi-supervised feature selection with noise insensitive trace ratio criterion

Feiping Nie, Wu Jigang, Yun Liu, 2013, Neurocomputing.

Robust Object Co-Segmentation Using Background Prior

Feiping Nie, Junwei Han, Dingwen Zhang, 2018, IEEE Transactions on Image Processing.

Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling

Qinghua Zheng, Yi Yang, Feiping Nie, 2017, AAAI.

Unsupervised Feature Selection Based on Reconstruction Error Minimization

Xuelong Li, Feiping Nie, Sheng Yang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning A Structured Optimal Bipartite Graph for Co-Clustering

Feiping Nie, Heng Huang, Cheng Deng, 2017, NIPS.

Global Redundancy Minimization for Feature Ranking

Feiping Nie, Heng Huang, De Wang, 2015 .

A graph based multimodal geospatial interpolation framework

Feiping Nie, Ramesh C. Jain, Siripen Pongpaichet, 2016, 2016 IEEE International Conference on Multimedia and Expo (ICME).

A general kernelization framework for learning algorithms based on kernel PCA

Feiping Nie, Shiming Xiang, Changshui Zhang, 2010, Neurocomputing.

An Iterative Locally Linear Embedding Algorithm

Feiping Nie, Chris H. Q. Ding, Heng Huang, 2012, ICML.

Unsupervised and semi-supervised learning via ℓ1-norm graph

Feiping Nie, Chris H. Q. Ding, Hua Wang, 2011, 2011 International Conference on Computer Vision.

Multiview Semi-Supervised Learning Model for Image Classification

Feiping Nie, Xuelong Li, Rong Wang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

Feiping Nie, Gaofeng Meng, Shiming Xiang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Scalable Multi-View Semi-Supervised Classification via Adaptive Regression

Feiping Nie, Chenping Hou, Dongyun Yi, 2017, IEEE Transactions on Image Processing.

Discriminatively Embedded K-Means for Multi-view Clustering

Feiping Nie, Junwei Han, Jinglin Xu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization

Feiping Nie, Hua Wang, Heng Huang, 2013, 2013 IEEE International Conference on Computer Vision.

Flexible Orthogonal Neighborhood Preserving Embedding

Feiping Nie, Junwei Han, Tianji Pang, 2017, IJCAI.

TurboPixel Segmentation Using Eigen-Images

Feiping Nie, Shiming Xiang, Chunhong Pan, 2010, IEEE Transactions on Image Processing.

Multi-View Clustering and Feature Learning via Structured Sparsity

Feiping Nie, Hua Wang, Heng Huang, 2013, ICML.

Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis

Zhenhua Guo, Jane You, Feiping Nie, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph

Feiping Nie, Xuelong Li, Shao Jun Shi, 2020, IEEE Transactions on Knowledge and Data Engineering.

Multi-view clustering with interactive mechanism

Feiping Nie, Zhanxuan Hu, Xuelong Li, 2021, Neurocomputing.

Adaptive discriminant analysis for semi-supervised feature selection

Feiping Nie, Weichan Zhong, Xiaojun Chen, 2021, Inf. Sci..

Fast Optimization of Spectral Embedding and Improved Spectral Rotation

Feiping Nie, Xuelong Li, Rong Wang, 2021, IEEE Transactions on Knowledge and Data Engineering.

Flexible multi-view semi-supervised learning with unified graph

Feiping Nie, Zhongheng Li, Qianyao Qiang, 2021, Neural Networks.

Learning to hash based on angularly discriminative embedding

Feiping Nie, Zhanxuan Hu, Xuelong Li, 2021, Inf. Sci..

Joint nonlinear feature selection and continuous values regression network

Feiping Nie, Xuelong Li, Zheng Wang, 2021, Pattern Recognit. Lett..

Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations

Feiping Nie, Lodewijk Brand, Hoon Seo, 2021, AAAI.

Graph regularized nonnegative matrix factorization with label discrimination for data clustering

Feiping Nie, Yingcang Ma, Zhiwei Xing, 2021, Neurocomputing.

Adaptive Feature Weight Learning For Robust Clustering Problem with Sparse Constraint

Feiping Nie, Xuelong Li, Gongfu Li, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction

Feiping Nie, Xuelong Li, Rong Wang, 2021, IEEE Signal Processing Letters.

Fuzzy graph clustering

Feiping Nie, Yong Peng, Wanzeng Kong, 2021, Inf. Sci..

Fast Local Representation Learning with Adaptive Anchor Graph

Feiping Nie, Xuelong Li, Zheng Wang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Principal Component Analysis Based on Discriminant Information

Feiping Nie, Yisong Zhang, Sizhe Luo, 2021, IEEE Transactions on Knowledge and Data Engineering.

Multi-View Clustering Based on Invisible Weights

Feiping Nie, Xuelong Li, Danyang Wu, 2021, IEEE Signal Processing Letters.

Multi-Task Learning Via Sharing Inexact Low-Rank Subspace

Feiping Nie, Xiaoqian Wang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection

Feiping Nie, Zheng Wang, Haifeng Zhao, 2021 .

Discrete Multiple Kernel k-means

Feiping Nie, Xuelong Li, Rong Wang, 2021, IJCAI.

Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery pdf

Feiping Nie, Xuelong Li, Rong Wang, 2021, Signal Process..

Fast Fuzzy Clustering Based on Anchor Graph

Feiping Nie, Xuelong Li, Rong Wang, 2021, IEEE Transactions on Fuzzy Systems.

GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition

Feiping Nie, Andrzej Cichocki, Yong Peng, 2022, IEEE Transactions on Cognitive and Developmental Systems.

Dependence-Guided Multi-View Clustering

Feiping Nie, Xuelong Li, Danyang Wu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Rank-Constrained Clustering Algorithm with Adaptive Embedding

Feiping Nie, Xuelong Li, Shenfei Pei, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Survey of GPU Multitasking Methods Supported by Hardware Architecture

Feiping Nie, Huiyang Zhou, Chen Zhao, 2022, IEEE Transactions on Parallel and Distributed Systems.

Fast local representation learning via adaptive anchor graph for image retrieval

Feiping Nie, Xuelong Li, Zheng Wang, 2021, Inf. Sci..

Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning

Feiping Nie, Xuelong Li, Rong Wang, 2021, IEEE Transactions on Knowledge and Data Engineering.

New Tight Relaxations of Rank Minimization for Multi-Task Learning

Feiping Nie, Xuelong Li, Rong Wang, 2021, CIKM.

Fast Manifold Ranking With Local Bipartite Graph

Feiping Nie, Yuzhong Ye, Xiaojun Chen, 2021, IEEE Transactions on Image Processing.

Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection

Feiping Nie, Xuelong Li, Rong Wang, 2021, Inf. Fusion.

Generalization bottleneck in deep metric learning

Feiping Nie, Zhanxuan Hu, Rong Wang, 2021, Inf. Sci..

Flexible Multi-View Unsupervised Graph Embedding

Feiping Nie, Qianyao Qiang, Bin Zhang, 2021, IEEE Transactions on Image Processing.

Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization

Feiping Nie, Fei Wang, Rong Wang, 2020, IEEE Transactions on Image Processing.

Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining

Feiping Nie, Andrzej Cichocki, Yong Peng, 2021, IEEE Transactions on Instrumentation and Measurement.

Dimension reduction of multimodal data by auto-weighted local discriminant analysis

Feiping Nie, Rongxiu Lu, Hui Yang, 2021, Neurocomputing.

Learning unsupervised node representation from multi-view network

Feiping Nie, Zhong Ming, Bo Wang, 2021, Inf. Sci..

Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction

Feiping Nie, Xuelong Li, Zheng Wang, 2022, IEEE Transactions on Knowledge and Data Engineering.

Fast Multi-view Discrete Clustering with Anchor Graphs

Feiping Nie, Qianyao Qiang, Bin Zhang, 2021, AAAI.

A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization

Feiping Nie, Xueyuan Xu, Xia Wu, 2021, IEEE Transactions on Knowledge and Data Engineering.

Deep linear discriminant analysis hashing

Feiping Nie, Di Hu, Xuelong Li, 2021 .

GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data

Feiping Nie, Xuelong Li, Meng Liao, 2021, IJCAI.

Matrix completion with column outliers and sparse noise

Feiping Nie, Zhanxuan Hu, Xuelong Li, 2021, Inf. Sci..

Semi-supervised multi-Layer convolution kernel learning in credit evaluation

Feiping Nie, Thomas Weise, Lixin Cui, 2021, Pattern Recognit..

Unsupervised Optimized Bipartite Graph Embedding

Feiping Nie, Hui Yang, Jianyong Zhu, 2021, IEEE Transactions on Knowledge and Data Engineering.

Multi-Directional Multi-Label Learning

Feiping Nie, Xuelong Li, Shenfei Pei, 2021, Signal Process..

Adaptive Neighborhood Metric Learning

Jiwen Lu, Feiping Nie, Gong Cheng, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Efficient Density-based clustering algorithm for face groping

Feiping Nie, Xuelong Li, Shenfei Pei, 2021, Neurocomputing.

Fast Multi-View Clustering via Prototype Graph

Feiping Nie, Xuelong Li, Shaojun Shi, 2021, IEEE Transactions on Knowledge and Data Engineering.

Semi-Supervised Additive Logistic Regression: A Gradient Descent Solution

Feiping Nie, Yangqiu Song, Changshui Zhang, 2007 .