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Quanxue Gao

Quanxue Gao

D-Index & Metrics

Computer Science

D-Index
35
Citations
4509
World Ranking
11792
National Ranking
1463

Overview

Quanxue Gao is a researcher affiliated with Xidian University in China, specializing primarily in computer science with a strong focus on computer vision and pattern recognition. Their scholarly output includes significant contributions to artificial intelligence, media technology, urban studies, and computational mechanics.

Their recent research has concentrated on multi-view clustering and subspace clustering techniques. Among the notable publications are:

  • Tensorized Bipartite Graph Learning for Multi-View Clustering, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Deep Multi-View Subspace Clustering With Unified and Discriminative Learning, 2020, IEEE Transactions on Multimedia
  • Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency, 2021, IEEE Transactions on Image Processing
  • Self-Supervised Graph Convolutional Network for Multi-View Clustering, 2021, IEEE Transactions on Multimedia

Quanxue Gao frequently collaborates with a number of coauthors, including:

  • Qianqian Wang
  • Xinbo Gao
  • Ming Yang
  • Wei Xia
  • Xiangdong Zhang

Publications often appear in specific venues known for their focus on computational intelligence and multimedia processing:

  • Neurocomputing
  • Neural Networks
  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing

Their work encompasses a range of topics that address various areas of computer vision and machine learning, including:

  • Face and Expression Recognition
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Advanced Computing and Algorithms
  • Remote-Sensing Image Classification
  • Advanced Clustering Algorithms Research
  • Text and Document Classification Technologies

Overall, Quanxue Gao's research profile demonstrates a multidisciplinary approach within computer science, with a considerable emphasis on developing algorithms and methodologies for image analysis, clustering, and multi-view learning.

Best Publications

  • Tensorized Bipartite Graph Learning for Multi-View Clustering

    Unknown

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

    Quanxue Gao;Wei Xia;Zhizhen Wan;Deyan Xie

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

    Qianqian Wang;Jiafeng Cheng;Quanxue Gao;Guoshuai Zhao

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

    Yang Liu;Kaiwen Wen;Quanxue Gao;Xinbo Gao

  • Multi-View Attribute Graph Convolution Networks for Clustering.

    Jiafeng Cheng;Qianqian Wang;Zhiqiang Tao;Deyan Xie

  • Partial Multi-view Clustering via Consistent GAN

    Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

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

    Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

  • Deep Adversarial Multi-view Clustering Network

    Zhaoyang Li;Qianqian Wang;Zhiqiang Tao;Quanxue Gao

  • A Non-Greedy Algorithm for L1-Norm LDA

    Yang Liu;Quanxue Gao;Shuo Miao;Xinbo Gao

  • Self-supervised Graph Convolutional Network for Multi-view Clustering

    Wei Xia;Qianqian Wang;Quanxue Gao;Xiangdong Zhang

  • Tensor Completion-Based Incomplete Multiview Clustering

    Unknown

  • $ll _{2,p}$ -Norm Based PCA for Image Recognition.

    Qianqian Wang;Quanxue Gao;Xinbo Gao;Feiping Nie

  • Enhanced fisher discriminant criterion for image recognition

    Quanxue Gao;Jingjing Liu;Haijun Zhang;Jun Hou

  • Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm.

    Wei Xia;Xiangdong Zhang;Quanxue Gao;Xiaochuang Shu

  • Enhanced Tensor RPCA and its Application

    Quanxue Gao;Pu Zhang;Wei Xia;Deyan Xie

  • Angle 2DPCA: A New Formulation for 2DPCA

    Quanxue Gao;Lan Ma;Yang Liu;Xinbo Gao

  • Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction

    Quanxue Gao;Jingjie Ma;Hailin Zhang;Xinbo Gao

  • Multiview Spectral Clustering With Bipartite Graph

    Unknown

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

    Wei Xia;Sen Wang;Ming Yang;Quanxue Gao

  • Discriminative sparsity preserving projections for image recognition

    Quanxue Gao;Yunfang Huang;Hailin Zhang;Xin Hong

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

    Huiling Xu;Xiangdong Zhang;Wei Xia;Quanxue Gao;Quanxue Gao

  • Multiview Clustering by Joint Latent Representation and Similarity Learning

    Deyan Xie;Xiangdong Zhang;Quanxue Gao;Jiale Han

  • Joint Global and Local Structure Discriminant Analysis

    Quanxue Gao;Jingjing Liu;Hailin Zhang;Xinbo Gao

  • Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering

    Unknown

  • Two-dimensional supervised local similarity and diversity projection

    Quan-Xue Gao;Hui Xu;Yi-Ying Li;De-Yan Xie

  • Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.

    Yang Liu;Quanxue Gao;Jin Li;Jungong Han

  • Generative Partial Multi-View Clustering

    Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

Frequent Co-Authors

Xinbo Gao
Xinbo Gao Xidian University
Yang Liu
Yang Liu Linköping University
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Jungong Han
Jungong Han Aberystwyth University
Ling Shao
Ling Shao Terminus International
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Yun Fu
Yun Fu Northeastern University
Licheng Jiao
Licheng Jiao Xidian University
Zhengming Ding
Zhengming Ding Tulane University

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