Quanxue Gao

According to our database, Quanxue Gao authored at least 144 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering.

Wenhui Zhao, Qin Li, Huafu Xu, Quanxue Gao, Qianqian Wang, Xinbo Gao

IEEE Trans. Multim., 2024

Efficient Anchor Graph Factorization for Multi-View Clustering.

Jing Li, Qianqian Wang, Ming Yang, Quanxue Gao, Xinbo Gao

IEEE Trans. Multim., 2024

Unsupervised Discriminative Feature Selection via Contrastive Graph Learning.

Qian Zhou, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao

IEEE Trans. Image Process., 2024

Efficient Multi-View -Means for Image Clustering.

Han Lu, Huafu Xu, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao

IEEE Trans. Image Process., 2024

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization.

Jing Li, Quanxue Gao, Cheng Deng, Qianqian Wang, Ming Yang

CoRR, 2024

One-Step Multi-View Clustering Based on Transition Probability.

Wenhui Zhao, Quanxue Gao, Guangfei Li, Cheng Deng, Ming Yang

CoRR, 2024

Label Learning Method Based on Tensor Projection.

Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie

CoRR, 2024

Anchor-free Clustering based on Anchor Graph Factorization.

Shikun Mei, Fangfang Li, Quanxue Gao, Ming Yang

CoRR, 2024

Embedded Feature Selection on Graph-Based Multi-View Clustering.

Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Tensorized Label Learning on Anchor Graph.

Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Partial Multi-View Clustering via Self-Supervised Network.

Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Multiview Clustering Networks With Adaptive Fusion.

Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Sparse discriminant PCA based on contrastive learning and class-specificity distribution.

Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao

Neural Networks, October, 2023

Contrastive self-representation learning for data clustering.

Wenhui Zhao, Quanxue Gao, Shikun Mei, Ming Yang

Neural Networks, October, 2023

Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification.

Guangfei Li, Quanxue Gao, Ming Yang, Xinbo Gao

Neural Networks, October, 2023

Low-rank discrete multi-view spectral clustering.

Yu Yun, Jing Li, Quanxue Gao, Ming Yang, Xinbo Gao

Neural Networks, September, 2023

Joint feature selection and optimal bipartite graph learning for subspace clustering.

Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao

Neural Networks, July, 2023

Tensorized Bipartite Graph Learning for Multi-View Clustering.

Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Enhanced tensor low-rank representation learning for multi-view clustering.

De-Yan Xie, Quanxue Gao, Ming Yang

Neural Networks, April, 2023

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

Wei Xia, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao

IEEE Trans. Multim., 2023

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

Xiaochuang Shu, Xiangdong Zhang, Quanxue Gao, Ming Yang, Rong Wang, Xinbo Gao

IEEE Trans. Multim., 2023

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering.

Wei Xia, Tianxiu Wang, Quanxue Gao, Ming Yang, Xinbo Gao

IEEE Trans. Image Process., 2023

Multi-modal object detection via transformer network.

Wenbing Liu, Haibo Wang, Quanxue Gao, Zhaorui Zhu

IET Image Process., 2023

Rethinking k-means from manifold learning perspective.

Quanxue Gao, Qianqian Wang, Han Lu, Wei Xia, Xinbo Gao

CoRR, 2023

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

Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao

CoRR, 2023

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

Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia

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.

Zihao Zhang, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Wei Feng

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

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

Meiling Liu, Wei Feng, Chengquan Pei, Qianqian Wang, Quanxue Gao

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

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

Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia

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

2022

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

Wei Xia, Qianqian Wang, Quanxue Gao, Xiangdong Zhang, Xinbo Gao

IEEE Trans. Multim., 2022

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

Siyang Deng, Gang Xiang, Quanxue Gao, Wei Xia, Xinbo Gao

IEEE Trans. Multim., 2022

Multiview Spectral Clustering With Bipartite Graph.

Haizhou Yang, Quanxue Gao, Wei Xia, Ming Yang, Xinbo Gao

IEEE Trans. Image Process., 2022

View-Consistency Learning for Incomplete Multiview Clustering.

Ziyu Lv, Quanxue Gao, Xiangdong Zhang, Qin Li, Ming Yang

IEEE Trans. Image Process., 2022

Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm.

Wei Xia, Xiangdong Zhang, Quanxue Gao, Xiaochuang Shu, Jungong Han, Xinbo Gao

IEEE Trans. Cybern., 2022

Tensor Completion-Based Incomplete Multiview Clustering.

Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao

IEEE Trans. Cybern., 2022

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

Zhaorui Zhu, Quanxue Gao

IEEE Trans. Circuits Syst. Video Technol., 2022

Enhanced nuclear norm based matrix regression for occluded face recognition.

Qin Li, Huihui He, Hong Lai, Tie Cai, Qianqian Wang, Quanxue Gao

Pattern Recognit., 2022

Attributes learning network for generalized zero-shot learning.

Yu Yun, Sen Wang, Mingzhen Hou, Quanxue Gao

Neural Networks, 2022

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

Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao

Neural Networks, 2022

Fast multiple graphs learning for multi-view clustering.

Tianyu Jiang, Quanxue Gao

Neural Networks, 2022

Low-rank constraint bipartite graph learning.

Qian Zhou, Haizhou Yang, Quanxue Gao

Neurocomputing, 2022

Multi-view Spectral Clustering with Adaptive Graph Learning and Tensor Schatten <i>p</i>-norm.

Yujiao Zhao, Yu Yun, Xiangdong Zhang, Qin Li, Quanxue Gao

Neurocomputing, 2022

Contrastive deep embedded clustering.

Guoshuai Sheng, Qianqian Wang, Chengquan Pei, Quanxue Gao

Neurocomputing, 2022

A multi-view clustering framework via integrating <i>K</i>-means and graph-cut.

Han Lu, Quanxue Gao, Xiangdong Zhang, Wei Xia

Neurocomputing, 2022

2021

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

Qianqian Wang, Jiafeng Cheng, Quanxue Gao, Guoshuai Zhao, Licheng Jiao

IEEE Trans. Multim., 2021

iCmSC: Incomplete Cross-Modal Subspace Clustering.

Qianqian Wang, Huanhuan Lian, Gan Sun, Quanxue Gao, Licheng Jiao

IEEE Trans. Image Process., 2021

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

Qianqian Wang, Quanxue Gao, Linlu Wu, Gan Sun, Licheng Jiao

IEEE Trans. Image Process., 2021

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

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

IEEE Trans. Image Process., 2021

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

Xinan Hou, Quanxue Gao, Rong Wang, Xin Luo

Sensors, 2021

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

Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao

Pattern Recognit., 2021

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

Siyang Deng, Wei Xia, Quanxue Gao, Xinbo Gao

Pattern Recognit., 2021

Enhanced Tensor RPCA and its Application.

Quanxue Gao, Pu Zhang, Wei Xia, De-Yan Xie, Xinbo Gao, Dacheng Tao

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

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

Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao

Neural Networks, 2021

Multiple graphs learning with a new weighted tensor nuclear norm.

De-Yan Xie, Quanxue Gao, Siyang Deng, Xiaojun Yang, Xinbo Gao

Neural Networks, 2021

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

Yu Yun, Wei Xia, Yongqing Zhang, Quanxue Gao, Xinbo Gao

Neurocomputing, 2021

Adversarial self-supervised clustering with cluster-specificity distribution.

Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao

Neurocomputing, 2021

Regression-based clustering network via combining prior information.

Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao

Neurocomputing, 2021

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

Zhizhen Wan, Huiling Xu, Quanxue Gao

Neurocomputing, 2021

Self-supervised graph convolutional clustering by preserving latent distribution.

Shiwen Kou, Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao

Neurocomputing, 2021

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

Ying Dou, Yu Yun, Quanxue Gao, Xiangdong Zhang

Neurocomputing, 2021

Self-supervised Contrastive Attributed Graph Clustering.

Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao

CoRR, 2021

Effective and Efficient Graph Learning for Multi-view Clustering.

Quanxue Gao, Wei Xia, Xinbo Gao, Dacheng Tao

CoRR, 2021

Multiple Graph Learning for Scalable Multi-view Clustering.

Tianyu Jiang, Quanxue Gao

CoRR, 2021

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

Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao

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

2020

Multiview Clustering by Joint Latent Representation and Similarity Learning.

De-Yan Xie, Xiangdong Zhang, Quanxue Gao, Jiale Han, Song Xiao, Xinbo Gao

IEEE Trans. Cybern., 2020

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

Huiling Xu, Xiangdong Zhang, Wei Xia, Quanxue Gao, Xinbo Gao

Neural Networks, 2020

Adaptive latent similarity learning for multi-view clustering.

De-Yan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao

Neural Networks, 2020

Label-activating framework for zero-shot learning.

Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao

Neural Networks, 2020

Multi-view projected clustering with graph learning.

Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao

Neural Networks, 2020

On the optimal solution to maximum margin projection pursuit.

De-Yan Xie, Feiping Nie, Quanxue Gao

Multim. Tools Appl., 2020

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

De-Yan Xie, Wei Xia, Qianqian Wang, Quanxue Gao, Song Xiao

Neurocomputing, 2020

Double robust principal component analysis.

Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding

Neurocomputing, 2020

Discriminative comparison classifier for generalized zero-shot learning.

Mingzhen Hou, Wei Xia, Xiangdong Zhang, Quanxue Gao

Neurocomputing, 2020

Fast algorithm for large-scale subspace clustering by LRR.

De-Yan Xie, Feiping Nie, Quanxue Gao, Song Xiao

IET Image Process., 2020

Generative Partial Multi-View Clustering.

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

CoRR, 2020

Multi-View Attribute Graph Convolution Networks for Clustering.

Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao

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

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

Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang

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

Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis.

Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun

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

2019

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

Quanxue Gao, Sai Xu, Fang Chen, Chris Ding, Xinbo Gao, Yunsong Li

IEEE Trans. Cybern., 2019

Flexible unsupervised feature extraction for image classification.

Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao

Neural Networks, 2019

Adaptive robust principal component analysis.

Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han

Neural Networks, 2019

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

Pu Zhang, Siyang Deng, Feiping Nie, Yang Liu, Xiangdong Zhang, Quanxue Gao

Neurocomputing, 2019

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

Yang Liu, Caifeng Shan, Quanxue Gao, Xinbo Gao, Jungong Han, Rongmei Cui

Neurocomputing, 2019

Consistent Embedded GAN for Image-to-Image Translation.

Feng Xiong, Qianqian Wang, Quanxue Gao

IEEE Access, 2019

Multi-View Classification via Adaptive Discriminant Analysis.

De-Yan Xie, Qin Li, Wei Xia, Shiwei Pang, Huihui He, Quanxue Gao

IEEE Access, 2019

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

De-Yan Xie, Quanxue Gao, Qianqian Wang, Song Xiao

IEEE Access, 2019

Image Classification Using Low-Rank Regularized Extreme Learning Machine.

Qin Li, Yang Liu, Shujian Wang, Quanxue Gao, Xinbo Gao

IEEE Access, 2019

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

Siyang Deng, Qianqian Wang, Quanxue Gao

IEEE Access, 2019

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

Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao

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

Worst-Case Discriminative Feature Selection.

Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang

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

Deep Adversarial Multi-view Clustering Network.

Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang

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

Tensor Linear Regression and Its Application to Color Face Recognition.

Quanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang

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

2018

Robust DLPP With Nongreedy ℓ₁-Norm Minimization and Maximization.

Qianqian Wang, Quanxue Gao, De-Yan Xie, Xinbo Gao, Yong Wang

IEEE Trans. Neural Networks Learn. Syst., 2018

ℓ_{2, p} -Norm Based PCA for Image Recognition.

Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie

IEEE Trans. Image Process., 2018

Discriminant Analysis via Joint Euler Transform and ℓ_{2, 1}-Norm.

Shuangli Liao, Quanxue Gao, Zhaohua Yang, Fang Chen, Feiping Nie, Jungong Han

IEEE Trans. Image Process., 2018

Angle 2DPCA: A New Formulation for 2DPCA.

Quanxue Gao, Lan Ma, Yang Liu, Xinbo Gao, Feiping Nie

IEEE Trans. Cybern., 2018

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

Yang Liu, Kaiwen Wen, Quanxue Gao, Xinbo Gao, Feiping Nie

Pattern Recognit., 2018

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

Yue Song, Yang Liu, Quanxue Gao, Xinbo Gao, Feiping Nie, Rongmei Cui

Neurocomputing, 2018

Learning more distinctive representation by enhanced PCA network.

Yang Liu, Shuangshuang Zhao, Qianqian Wang, Quanxue Gao

Neurocomputing, 2018

Nuclear-norm based semi-supervised multiple labels learning.

Yang Liu, Feiping Nie, Quanxue Gao

Neurocomputing, 2018

Dimensionality reduction by LPP-L21.

Shujian Wang, De-Yan Xie, Fang Chen, Quanxue Gao

IET Comput. Vis., 2018

L_{2, 1}-Norm Discriminant Manifold Learning.

Yang Liu, Quanxue Gao, Xinbo Gao, Ling Shao

IEEE Access, 2018

Learning with Adaptive Neighbors for Image Clustering.

Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang

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

Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.

Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao

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

Partial Multi-view Clustering via Consistent GAN.

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2018

Euler Sparse Representation for Image Classification.

Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang

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

Robust Formulation for PCA: Avoiding Mean Calculation With L_{2, p}-norm Maximization.

Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao

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

2017

A Non-Greedy Algorithm for L1-Norm LDA.

Yang Liu, Quanxue Gao, Shuo Miao, Xinbo Gao, Feiping Nie, Yunsong Li

IEEE Trans. Image Process., 2017

Adaptive maximum margin analysis for image recognition.

Qianqian Wang, Lan Ma, Quanxue Gao, Yunsong Li, Yunfang Huang, Yang Liu

Pattern Recognit., 2017

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

Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie

Pattern Recognit., 2017

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

Tao Li, Mengyuan Li, Quanxue Gao, De-Yan Xie

Neural Networks, 2017

Trace ratio 2DLDA with L1-norm optimization.

Mengyuan Li, Jing Wang, Qianqian Wang, Quanxue Gao

Neurocomputing, 2017

Angle Principal Component Analysis.

Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie

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

Two-Dimensional PCA with F-Norm Minimization.

Qianqian Wang, Quanxue Gao

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

2016

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

Quanxue Gao

IEEE Trans. Inf. Forensics Secur., 2016

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

Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao, Feiping Nie

Neurocomputing, 2016

Discriminant structure embedding for image recognition.

Shuo Miao, Jing Wang, Quanxue Gao, Fang Chen, Yong Wang

Neurocomputing, 2016

Robust 2DPCA and Its Application.

Qianqian Wang, Quanxue Gao

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.

Quanxue Gao, Qianqian Wang, Yunfang Huang, Xinbo Gao, Xin Hong, Hailin Zhang

IEEE Trans. Image Process., 2015

Discriminative sparsity preserving projections for image recognition.

Quanxue Gao, Yunfang Huang, Hailin Zhang, Xin Hong, Kui Li, Yong Wang

Pattern Recognit., 2015

A novel semi-supervised learning for face recognition.

Quanxue Gao, Yunfang Huang, Xinbo Gao, Weiguo Shen, Hailin Zhang

Neurocomputing, 2015

Merging model-based two-dimensional principal component analysis.

Kai Cui, Quanxue Gao, Hailin Zhang, Xinbo Gao, De-Yan Xie

Neurocomputing, 2015

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

Yong Wang, Wenjuan Xu, Xiaoyu Yang, Qianqian Qiao, Zheng Jia, Quanxue Gao

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Stable locality sensitive discriminant analysis for image recognition.

Quanxue Gao, Jingjing Liu, Kai Cui, Hailin Zhang, Xiaogang Wang

Neural Networks, 2014

Global-local fisher discriminant approach for face recognition.

Qianqian Wang, Xiaolei Hu, Quanxue Gao, Bing Li, Yong Wang

Neural Comput. Appl., 2014

2013

Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction.

Quanxue Gao, Jingjie Ma, Hailin Zhang, Xinbo Gao, Yamin Liu

IEEE Trans. Image Process., 2013

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

Quanxue Gao, Feifei Gao, Hailin Zhang, Xiujuan Hao, Xiaogang Wang

IEEE Trans. Image Process., 2013

Joint Global and Local Structure Discriminant Analysis.

Quanxue Gao, Jingjing Liu, Hailin Zhang, Xinbo Gao, Kui Li

IEEE Trans. Inf. Forensics Secur., 2013

Joint geometry and variability for image recognition.

Quanxue Gao, Haijun Zhang, Xiaojing Yang, Jingjing Liu, Yamin Liu

Neurocomputing, 2013

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

Quanxue Gao, Xiujuan Hao, Qijun Zhao, Weiguo Shen, Jingjie Ma

Comput. Vis. Image Underst., 2013

2012

Enhanced fisher discriminant criterion for image recognition.

Quanxue Gao, Jingjing Liu, Haijun Zhang, Jun Hou, Xiaojing Yang

Pattern Recognit., 2012

Two-dimensional margin, similarity and variation embedding.

Quanxue Gao, Haijun Zhang, Jingjing Liu

Neurocomputing, 2012

2010

Independent components extraction from image matrix.

Quanxue Gao, Lei Zhang, David Zhang, Hui Xu

Pattern Recognit. Lett., 2010

Two-dimensional supervised local similarity and diversity projection.

Quanxue Gao, Hui Xu, Yiying Li, De-Yan Xie

Pattern Recognit., 2010

Directional Two-dimensional Neighborhood Preserving Projection for Face Recognition.

Yiying Li, Qichuan Tian, Quanxue Gao, Jing Xu

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

Directional Principal Component Analysis for Image Matrix.

Quanxue Gao, Yiying Li, Yamin Liu, Haijun Zhang

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

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

Quanxue Gao, Jun Hou, Xiujuan Hao, Yiying Li

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

2009

Sequential row-column independent component analysis for face recognition.

Quanxue Gao, Lei Zhang, David Zhang

Neurocomputing, 2009

2008

Face recognition using FLDA with single training image per person.

Quanxue Gao, Lei Zhang, David Zhang

Appl. Math. Comput., 2008

Screening Diabetic Retinopathy Through Color Retinal Images.

Qin Li, Xue-Min Jin, Quanxue Gao, Jane You, Prabir Bhattacharya

Proceedings of the Medical Biometrics, First International Conference, 2008

Directional independent component analysis with tensor representation.

Lei Zhang, Quanxue Gao, David Zhang

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".

Quanxue Gao, Lei Zhang, David Zhang, Jian Yang

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

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

Quanxue Gao

Pattern Recognit. Lett., 2007

Block Independent Component Analysis for Face Recognition.

Lei Zhang, Quanxue Gao, David Zhang

Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007