Quanxue Gao

Ming Yang

Neural Networks, April, 2023

Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Self-Weighted Anchor Graph Learning for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Multi-modal object detection via transformer network.

[BibT_eX]

[DOI]

IET Image Process., 2023

Rethinking k-means from manifold learning perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-View Clustering via Semi-non-negative Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2023

Orthogonal Non-negative Tensor Factorization based Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Capped L2p-Norm Based 2DPCA with Adaptive Capped Threshold Learning for Image Processing.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Centerless Multi-View K-means Based on the Adjacency Matrix.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Supervised Graph Convolutional Network for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Zero-Shot Learning Based on Quality-Verifying Adversarial Network.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Multiview Spectral Clustering With Bipartite Graph.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

View-Consistency Learning for Incomplete Multiview Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Tensor Completion-Based Incomplete Multiview Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Semi-Supervised Clustering via Cannot Link Relationship for Multiview Data.

[BibT_eX]

[DOI]

Zhaorui Zhu

IEEE Trans. Circuits Syst. Video Technol., 2022

Enhanced nuclear norm based matrix regression for occluded face recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Attributes learning network for generalized zero-shot learning.

[BibT_eX]

[DOI]

Neural Networks, 2022

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.

[BibT_eX]

[DOI]

Neural Networks, 2022

Fast multiple graphs learning for multi-view clustering.

[BibT_eX]

[DOI]

Tianyu Jiang

Neural Networks, 2022

Low-rank constraint bipartite graph learning.

[BibT_eX]

[DOI]

Qian Zhou

Haizhou Yang

Neurocomputing, 2022

Multi-view Spectral Clustering with Adaptive Graph Learning and Tensor Schatten p-norm.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Contrastive deep embedded clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A multi-view clustering framework via integrating K-means and graph-cut.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

Deep Multi-View Subspace Clustering With Unified and Discriminative Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

iCmSC: Incomplete Cross-Modal Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Adversarial Multi-Path Residual Network for Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Satellite-Borne Optical Remote Sensing Image Registration Based on Point Features.

[BibT_eX]

[DOI]

Sensors, 2021

Relation-based Discriminative Cooperation Network for Zero-Shot Classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Cross-view classification by joint adversarial learning and class-specificity distribution.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Enhanced Tensor RPCA and its Application.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution.

[BibT_eX]

[DOI]

Neural Networks, 2021

Multiple graphs learning with a new weighted tensor nuclear norm.

[BibT_eX]

[DOI]

Neural Networks, 2021

Self-representation and Class-Specificity Distribution Based Multi-View Clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Adversarial self-supervised clustering with cluster-specificity distribution.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Regression-based clustering network via combining prior information.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Multi-view clustering by joint spectral embedding and spectral rotation.

[BibT_eX]

[DOI]

Zhizhen Wan

Huiling Xu

Neurocomputing, 2021

Self-supervised graph convolutional clustering by preserving latent distribution.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Self-representation and matrix factorization based multi-view clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Self-supervised Contrastive Attributed Graph Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Effective and Efficient Graph Learning for Multi-view Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Multiple Graph Learning for Scalable Multi-view Clustering.

[BibT_eX]

[DOI]

Tianyu Jiang

CoRR, 2021

Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Multiview Clustering by Joint Latent Representation and Similarity Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Low-rank tensor constrained co-regularized multi-view spectral clustering.

[BibT_eX]

[DOI]

Neural Networks, 2020

Adaptive latent similarity learning for multi-view clustering.

[BibT_eX]

[DOI]

Neural Networks, 2020

Label-activating framework for zero-shot learning.

[BibT_eX]

[DOI]

Neural Networks, 2020

Multi-view projected clustering with graph learning.

[BibT_eX]

[DOI]

Neural Networks, 2020

On the optimal solution to maximum margin projection pursuit.

[BibT_eX]

[DOI]

De-Yan Xie

Feiping Nie

Multim. Tools Appl., 2020

Multi-view clustering by joint manifold learning and tensor nuclear norm.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Double robust principal component analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Discriminative comparison classifier for generalized zero-shot learning.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Fast algorithm for large-scale subspace clustering by LRR.

[BibT_eX]

[DOI]

IET Image Process., 2020

Generative Partial Multi-View Clustering.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-View Attribute Graph Convolution Networks for Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

${R}_1$ -2-DPCA and Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Flexible unsupervised feature extraction for image classification.

[BibT_eX]

[DOI]

Neural Networks, 2019

Adaptive robust principal component analysis.

[BibT_eX]

[DOI]

Neural Networks, 2019

Nuclear-norm based 2DLDA with application to face recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Consistent Embedded GAN for Image-to-Image Translation.

[BibT_eX]

[DOI]

Feng Xiong

IEEE Access, 2019

Multi-View Classification via Adaptive Discriminant Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2019

Multi-View Spectral Clustering via Integrating Global and Local Graphs.

[BibT_eX]

[DOI]

IEEE Access, 2019

Image Classification Using Low-Rank Regularized Extreme Learning Machine.

[BibT_eX]

[DOI]

IEEE Access, 2019

Adaptive Semi-Supervised Classification by Joint Global and Local Graph.

[BibT_eX]

[DOI]

Siyang Deng

IEEE Access, 2019

Graph and Autoencoder Based Feature Extraction for Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Worst-Case Discriminative Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Adversarial Multi-view Clustering Network.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Tensor Linear Regression and Its Application to Color Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Robust DLPP With Nongreedy ℓ1-Norm Minimization and Maximization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

ℓ2, p -Norm Based PCA for Image Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Discriminant Analysis via Joint Euler Transform and ℓ2, 1-Norm.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Angle 2DPCA: A New Formulation for 2DPCA.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

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

[BibT_eX]

[DOI]

Pattern Recognit., 2018

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

[BibT_eX]

[DOI]

Neurocomputing, 2018

Learning more distinctive representation by enhanced PCA network.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Nuclear-norm based semi-supervised multiple labels learning.

[BibT_eX]

[DOI]

Yang Liu

Feiping Nie

Neurocomputing, 2018

Dimensionality reduction by LPP-L21.

[BibT_eX]

[DOI]

IET Comput. Vis., 2018

L2, 1-Norm Discriminant Manifold Learning.

[BibT_eX]

[DOI]

IEEE Access, 2018

Learning with Adaptive Neighbors for Image Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Partial Multi-view Clustering via Consistent GAN.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Euler Sparse Representation for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Robust Formulation for PCA: Avoiding Mean Calculation With L2, p-norm Maximization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Non-Greedy Algorithm for L1-Norm LDA.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Adaptive maximum margin analysis for image recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

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

[BibT_eX]

[DOI]

Pattern Recognit., 2017

F-norm distance metric based robust 2DPCA and face recognition.

[BibT_eX]

[DOI]

Neural Networks, 2017

Trace ratio 2DLDA with L1-norm optimization.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Angle Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Two-Dimensional PCA with F-Norm Minimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Rebuttal to "Comments on 'Joint Global and Local Structure Discriminant Analysis"'.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2016

On the schatten norm for matrix based subspace learning and classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Discriminant structure embedding for image recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Robust 2DPCA and Its Application.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Discriminative sparsity preserving projections for image recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

A novel semi-supervised learning for face recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Merging model-based two-dimensional principal component analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2015

An Accelerated Two-Step Iteration Hybrid-norm Algorithm for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Stable locality sensitive discriminant analysis for image recognition.

[BibT_eX]

[DOI]

Neural Networks, 2014

Global-local fisher discriminant approach for face recognition.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

2013

Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Two-Dimensional Maximum Local Variation Based on Image Euclidean Distance for Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Joint Global and Local Structure Discriminant Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2013

Joint geometry and variability for image recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Feature extraction using two-dimensional neighborhood margin and variation embedding.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2013

2012

Enhanced fisher discriminant criterion for image recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

Two-dimensional margin, similarity and variation embedding.

[BibT_eX]

[DOI]

Haijun Zhang

Jingjing Liu

Neurocomputing, 2012

2010

Independent components extraction from image matrix.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2010

Two-dimensional supervised local similarity and diversity projection.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

Directional Two-dimensional Neighborhood Preserving Projection for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Aspects of Social Networks, 2010

Directional Principal Component Analysis for Image Matrix.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Aspects of Social Networks, 2010

Directional Multimode Subspace Analysis with Tensor Representation-Discriminant Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Aspects of Social Networks, 2010

2009

Sequential row-column independent component analysis for face recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2009

2008

Face recognition using FLDA with single training image per person.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2008

Screening Diabetic Retinopathy Through Color Retinal Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Biometrics, First International Conference, 2008

Directional independent component analysis with tensor representation.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Comments on "On Image Matrix Based Feature Extraction Algorithms".

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2007

Is two-dimensional PCA equivalent to a special case of modular PCA?

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2007

Block Independent Component Analysis for Face Recognition.

[BibT_eX]

[DOI]