World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
10689
World Ranking
11434
National Ranking
1418

Overview

Guangcan Liu is affiliated with Southeast University in China. Their research focuses primarily on the fields of computer science and engineering, with a concentration in computer vision and pattern recognition, artificial intelligence, media technology, computational mechanics, and biomedical engineering.

The body of work from Guangcan Liu includes 56 publications in computer science and 23 in engineering. Their subfields of study emphasize computer vision and pattern recognition with 34 papers, followed by artificial intelligence with 17 publications, and contributions to media technology, computational mechanics, and biomedical engineering.

Main research topics covered by Guangcan Liu span a range of areas:

  • Sparse and Compressive Sensing Techniques
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Face and Expression Recognition
  • Remote-Sensing Image Classification
  • Advanced Neural Network Applications
  • Gait Recognition and Analysis

Frequent co-authors who have collaborated extensively with Guangcan Liu include:

  • Yisheng Zhu
  • Qingshan Liu
  • Fan Lyu
  • Kaile Du
  • Yifan Zhou

Notable publication venues where Guangcan Liu's work has appeared frequently are:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • The Visual Computer
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Information Theory

Selected recent papers authored or co-authored by Guangcan Liu include:

  • "Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition," 2022, IEEE Transactions on Image Processing
  • "Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space," 2020, IEEE Transactions on Image Processing
  • "Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering," 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • "Recovery of Future Data via Convolution Nuclear Norm Minimization," 2022, IEEE Transactions on Information Theory

Best Publications

  • Robust Recovery of Subspace Structures by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun

  • Robust Subspace Segmentation by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Yong Yu

  • Latent Low-Rank Representation for subspace segmentation and feature extraction

    Guangcan Liu;Shuicheng Yan

  • Low-Rank Tensor Constrained Multiview Subspace Clustering

    Changqing Zhang;Huazhu Fu;Si Liu;Guangcan Liu

  • Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set

    Si Liu;Zheng Song;Guangcan Liu;Changsheng Xu

  • Multi-task low-rank affinity pursuit for image segmentation

    Bin Cheng;Guangcan Liu;Jingdong Wang;Zhongyang Huang

  • Saliency Detection by Multitask Sparsity Pursuit

    Congyan Lang;Guangcan Liu;Jian Yu;Shuicheng Yan

  • Practical low-rank matrix approximation under robust L 1 -norm

    Yinqiang Zheng;Guangcan Liu;Shigeki Sugimoto;Shuicheng Yan

  • Inductive Robust Principal Component Analysis

    Bing-Kun Bao;Guangcan Liu;Changsheng Xu;Shuicheng Yan

  • Spatio-temporal convolutional features with nested LSTM for facial expression recognition

    Zhenbo Yu;Guangcan Liu;Qingshan Liu;Jiankang Deng

  • Active subspace: Toward scalable low-rank learning

    Guangcan Liu;Shuicheng Yan

  • Blind Image Deblurring Using Spectral Properties of Convolution Operators

    Guangcan Liu;Shiyu Chang;Yi Ma

  • Implicit Block Diagonal Low-Rank Representation

    Xingyu Xie;Xianglin Guo;Guangcan Liu;Jun Wang

  • Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit

    Guangcan Liu;Qingshan Liu;Ping Li

  • Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation

    Guangcan Liu;Huan Xu;Shuicheng Yan

  • Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation

    Zhao Zhang;Yan Zhang;Guangcan Liu;Jinhui Tang

  • Deeper cascaded peak-piloted network for weak expression recognition

    Zhenbo Yu;Qinshan Liu;Guangcan Liu

  • Learning image compressed sensing with sub-pixel convolutional generative adversarial network

    Yubao Sun;Jiwei Chen;Qingshan Liu;Guangcan Liu

  • Multilevel Spatial–Temporal Excited Graph Network for Skeleton-Based Action Recognition

    Unknown

  • Low-Rank Matrix Completion in the Presence of High Coherence

    Guangcan Liu;Ping Li

  • A Deterministic Analysis for LRR

    Guangcan Liu;Huan Xu;Jinhui Tang;Qingshan Liu

  • Differentiable Linearized ADMM.

    Xingyu Xie;Jianlong Wu;Guangcan Liu;Zhisheng Zhong

Frequent Co-Authors

Shuicheng Yan
Shuicheng Yan National University of Singapore
Zhao Zhang
Zhao Zhang Hefei University of Technology
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Sheng Li
Sheng Li University of Virginia
Zhouchen Lin
Zhouchen Lin Peking University
Yong Yu
Yong Yu Shanghai Jiao Tong University
Meng Wang
Meng Wang Hefei University of Technology
Shengyong Chen
Shengyong Chen Tianjin University of Technology
Ping Li
Ping Li Baidu (China)
Yi Ma
Yi Ma University of Hong Kong

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