List of works - Feiping Nie

2D Feature Selection by Sparse Matrix Regression.

scientific article published on 8 June 2017

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

scientific article published on 14 December 2018

A Local and Global Discriminative Framework and Optimization for Balanced Clustering

scientific article published on 12 October 2018

A Multiview Learning Framework With a Linear Computational Cost

scientific article published on 22 August 2017

A Novel $k$-Means Framework via Constrained Relaxation and Spectral Rotation

scientific article published in January 2024

A Novel Formulation of Trace Ratio Linear Discriminant Analysis

scientific article published in 2022

A Revised Formation of Trace Ratio LDA for Small Sample Size Problem

scientific article published in January 2024

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

scientific article published on 19 July 2019

A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering.

scientific article published on 31 May 2017

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering

scientific article published in January 2024

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

scientific article published on 29 October 2019

Adaptive Unsupervised Feature Selection With Structure Regularization

scientific article

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

scientific article published on 28 August 2019

Agglomerative Neural Networks for Multiview Clustering

scientific article published in 2022

Angle 2DPCA: A New Formulation for 2DPCA.

scientific article

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

scientific article published on 17 January 2017

Balanced Graph Cut With Exponential Inter-Cluster Compactness

scientific article published in 2022

Bidirectional Attentive Multi-View Clustering

scientific article published in May 2024

Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering

scientific article published in January 2024

Compound Rank- k Projections for Bilinear Analysis.

scientific article published on 17 July 2015

Cross-View Approximation on Grassmann Manifold for Multiview Clustering

scientific article published in January 2024

Detecting Coherent Groups in Crowd Scenes by Multiview Clustering

article

Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis

scientific article published on 24 January 2018

Discrete Multi-Graph Clustering

scientific article published on 30 April 2019

Discrete Spectral Hashing for Efficient Similarity Retrieval

article

Discriminant Analysis via Joint Euler Transform and ℓ2,1-norm

scientific article published on 25 July 2018

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

scientific article published on 28 October 2019

Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection

scientific article published in January 2024

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features

scientific article published on 18 May 2018

ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization

scientific article published in 2022

Effective Discriminative Feature Selection With Nontrivial Solution

scientific article

Efficient Discrete Clustering With Anchor Graph

scientific article published in January 2024

Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph

scientific article published in January 2024

Exploiting Combination Effect for Unsupervised Feature Selection by l2,0 Norm

scientific article published on 07 June 2018

Fast Self-Supervised Clustering With Anchor Graph

scientific article published in 2022

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data

scientific article published on 20 May 2019

Fast Unsupervised Projection for Large-Scale Data

scientific article published in 2022

Flexible Manifold Learning With Optimal Graph for Image and Video Representation.

scientific article published in June 2018

Flexible unsupervised feature extraction for image classification

scientific article published on 27 March 2019

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

scientific article published in September 2022

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection

scientific article published on 27 September 2018

Graph Structure Fusion for Multiview Clustering

scientific article published in 2019

Hierarchical Feature Selection for Random Projection

scientific article published on 27 September 2018

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

scientific article published on 22 November 2018

Joint Principal Component and Discriminant Analysis for Dimensionality Reduction

scientific article published on 20 May 2019

LABIN: Balanced Min Cut for Large-Scale Data

scientific article published on 10 May 2019

Large-Scale Robust Semisupervised Classification

scientific article published on 17 January 2018

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

scientific article published on 18 May 2018

Local Regression and Global Information-Embedded Dimension Reduction

scientific article published on 05 January 2018

Matrix Completion Based on Non-convex Low Rank Approximation

scientific article published on 14 December 2018

Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery

scientific article published on 01 September 2018

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

scientific article published on 13 May 2017

Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion

scientific article published on 27 October 2023

Multiview Consensus Graph Clustering

article

Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery.

scientific article published on 31 May 2017

OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition

scientific article published in 2022

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

scientific article published on 18 August 2016

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

scientific article published in 2020

Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning

scientific article published on 03 July 2019

Rank-$r$ Discrete Matrix Factorization for Anchor Graph Clustering

scientific article published in 2022

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

scientific article

Re-weighted Discriminatively Embedded K-Means for Multi-view Clustering.

scientific article

Refined Spectral Clustering via Embedded Label Propagation.

scientific article published on 28 September 2017

Regularized Class-Specific Subspace Classifier.

scientific article published on 30 August 2016

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

scientific article published on 13 April 2017

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning

scientific article published on 17 December 2018

Robust Object Co-Segmentation Using Background Prior.

scientific article published in April 2018

Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection

scientific article published in 2022

S 3 LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition

scientific article published in 2022

Scalable Multi-View Semi-Supervised Classification via Adaptive Regression.

scientific article published on 19 June 2017

Scalable and Flexible Unsupervised Feature Selection

scientific article published on 15 January 2019

Self-Weighted Clustering With Adaptive Neighbors

scientific article published on 29 January 2020

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

scientific article published in 2021

Self-Weighted Supervised Discriminative Feature Selection.

scientific article published on 7 September 2017

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

scientific article published in 2020

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

scientific article published on 28 June 2018

Simple Multigraph Convolution Networks

scientific article published on 12 May 2024

Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

scientific article published on 10 January 2019

Spectral Clustering by Joint Spectral Embedding and Spectral Rotation

scientific article published on 03 October 2018

Spectral Embedded Adaptive Neighbors Clustering

scientific article published on 20 August 2018

Structured Optimal Graph-Based Clustering With Flexible Embedding

scientific article published on 08 November 2019

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph

scientific article published on 26 April 2019

Supervised Dimensionality Reduction Methods via Recursive Regression

scientific article published on 07 October 2019

Supervised Feature Selection With Orthogonal Regression and Feature Weighting

scientific article published on 14 May 2020

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

scientific article published on 18 November 2015

Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning.

scientific article published on 23 March 2017

Unsupervised Feature Selection via Adaptive Multimeasure Fusion

scientific article published on 01 January 2019

Unsupervised and Semisupervised Projection With Graph Optimization

scientific article published on 23 April 2020

List of works by Feiping Nie

2D Feature Selection by Sparse Matrix Regression.

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

A Local and Global Discriminative Framework and Optimization for Balanced Clustering

A Multiview Learning Framework With a Linear Computational Cost

A Novel $k$-Means Framework via Constrained Relaxation and Spectral Rotation

A Novel Formulation of Trace Ratio Linear Discriminant Analysis

A Revised Formation of Trace Ratio LDA for Small Sample Size Problem

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering.

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering

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

Adaptive Unsupervised Feature Selection With Structure Regularization

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

Agglomerative Neural Networks for Multiview Clustering

Angle 2DPCA: A New Formulation for 2DPCA.

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

Balanced Graph Cut With Exponential Inter-Cluster Compactness

Bidirectional Attentive Multi-View Clustering

Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering

Compound Rank- k Projections for Bilinear Analysis.

Cross-View Approximation on Grassmann Manifold for Multiview Clustering

Detecting Coherent Groups in Crowd Scenes by Multiview Clustering

Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis

Discrete Multi-Graph Clustering

Discrete Spectral Hashing for Efficient Similarity Retrieval

Discriminant Analysis via Joint Euler Transform and ℓ2,1-norm

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

Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features

ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization

Effective Discriminative Feature Selection With Nontrivial Solution

Efficient Discrete Clustering With Anchor Graph

Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph

Exploiting Combination Effect for Unsupervised Feature Selection by l2,0 Norm

Fast Self-Supervised Clustering With Anchor Graph

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data

Fast Unsupervised Projection for Large-Scale Data

Flexible Manifold Learning With Optimal Graph for Image and Video Representation.

Flexible unsupervised feature extraction for image classification

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

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection

Graph Structure Fusion for Multiview Clustering

Hierarchical Feature Selection for Random Projection

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

Joint Principal Component and Discriminant Analysis for Dimensionality Reduction

LABIN: Balanced Min Cut for Large-Scale Data

Large-Scale Robust Semisupervised Classification

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

Local Regression and Global Information-Embedded Dimension Reduction

Matrix Completion Based on Non-convex Low Rank Approximation

Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery

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

Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion

Multiview Consensus Graph Clustering

Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery.

OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition

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

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

Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning

Rank-$r$ Discrete Matrix Factorization for Anchor Graph Clustering

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

Re-weighted Discriminatively Embedded K-Means for Multi-view Clustering.

Refined Spectral Clustering via Embedded Label Propagation.

Regularized Class-Specific Subspace Classifier.

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

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning

Robust Object Co-Segmentation Using Background Prior.

Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection

S 3 LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition

Scalable Multi-View Semi-Supervised Classification via Adaptive Regression.

Scalable and Flexible Unsupervised Feature Selection

Self-Weighted Clustering With Adaptive Neighbors

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

Self-Weighted Supervised Discriminative Feature Selection.

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

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

Simple Multigraph Convolution Networks

Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

Spectral Clustering by Joint Spectral Embedding and Spectral Rotation