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Engineering and Technology

D-Index
63
Citations
12839
World Ranking
1806
National Ranking
364

Overview

Ting-Zhu Huang is affiliated with the University of Electronic Science and Technology of China. Their research primarily spans the fields of Engineering and Computer Science, with a particular focus on areas such as Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Computational Mathematics, and Numerical Analysis.

The main research topics covered by Ting-Zhu Huang include:

  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Sparse and Compressive Sensing Techniques
  • Remote-Sensing Image Classification
  • Tensor Decomposition and Applications
  • Advanced Image Processing Techniques
  • Advanced Neuroimaging Techniques and Applications

Recent publications highlight Ting-Zhu Huang's work in hyperspectral imaging and tensor methods. Key papers include:

  • "Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution," 2022, IEEE Geoscience and Remote Sensing Letters
  • "Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image," 2020, IEEE Transactions on Geoscience and Remote Sensing

Frequent co-authors working closely with Ting-Zhu Huang include:

  • Xi-Le Zhao
  • Liang-Jian Deng
  • Gemine Vivone
  • Yu-Bang Zheng
  • Jie Huang

Ting-Zhu Huang has contributed extensively to several publication venues, particularly in geoscience and remote sensing as well as applied mathematics, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Journal of Scientific Computing
  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Applied Mathematics and Computation

Best Publications

  • Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion

    Tai-Xiang Jiang;Michael K. Ng;Xi-Le Zhao;Ting-Zhu Huang

  • Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization

    Yu-Bang Zheng;Ting-Zhu Huang;Xi-Le Zhao;Tai-Xiang Jiang

  • Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution

    Unknown

  • Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition

    Yong Chen;Wei He;Naoto Yokoya;Ting-Zhu Huang

  • Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks.

    Jin-Fan Hu;Ting-Zhu Huang;Liang-Jian Deng;Tai-Xiang Jiang

  • FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors

    Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng

  • Image restoration using total variation with overlapping group sparsity

    Jun Liu;Ting-Zhu Huang;Ivan W. Selesnick;Xiao-Guang Lv

  • Deblurring and Sparse Unmixing for Hyperspectral Images

    Xi-Le Zhao;Fan Wang;Ting-Zhu Huang;M. K. Ng

  • A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors

    Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng

  • Tensor completion using total variation and low-rank matrix factorization

    Teng-Yu Ji;Ting-Zhu Huang;Xi-Le Zhao;Tian-Hui Ma

  • A directional global sparse model for single image rain removal

    Liang-Jian Deng;Ting-Zhu Huang;Xi-Le Zhao;Tai-Xiang Jiang

  • Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion

    Yu-Bang Zheng;Ting-Zhu Huang;Xi-Le Zhao;Qibin Zhao

  • Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization

    Jing-Hua Yang;Xi-Le Zhao;Tian-Hui Ma;Yong Chen

  • Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

    Tai-Xiang Jiang;Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng

  • Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image

    Yu-Bang Zheng;Ting-Zhu Huang;Xi-Le Zhao;Yong Chen

  • Fast Iterative Method with a Second-Order Implicit Difference Scheme for Time-Space Fractional Convection–Diffusion Equation

    Xian-Ming Gu;Xian-Ming Gu;Ting-Zhu Huang;Cui-Cui Ji;Bruno Carpentieri

  • Fast iterative method with a second order implicit difference scheme for time-space fractional convection-diffusion equations

    Xian-Ming Gu;Ting-Zhu Huang;Cui-Cui Ji;Bruno Carpentieri

  • A Triple-Double Convolutional Neural Network for Panchromatic Sharpening

    Unknown

  • Low-rank tensor train for tensor robust principal component analysis

    Jing-Hua Yang;Xi-Le Zhao;Teng-Yu Ji;Tian-Hui Ma

  • An active contour model and its algorithms with local and global Gaussian distribution fitting energies

    Hui Wang;Ting-Zhu Huang;Zongben Xu;Yilun Wang

  • A non-convex tensor rank approximation for tensor completion

    Teng-Yu Ji;Ting-Zhu Huang;Xi-Le Zhao;Tian-Hui Ma

  • Nonlocal Tensor-Ring Decomposition for Hyperspectral Image Denoising

    Yong Chen;Wei He;Naoto Yokoya;Ting-Zhu Huang

  • Leader-following consensus for multi-agent systems via sampled-data control

    Z.-J. Tang;T.-Z. Huang;J.-L. Shao;J.-P. Hu

  • On Leader–Follower Consensus With Switching Topologies: An Analysis Inspired by Pigeon Hierarchies

    Jinliang Shao;Wei Xing Zheng;Ting-Zhu Huang;Adrian N. Bishop

  • Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees

    Jin Jin Mei;Yiqiu Dong;Ting Zhu Huang;Wotao Yin

  • Low-rank tensor completion via smooth matrix factorization

    Yu-Bang Zheng;Ting-Zhu Huang;Teng-Yu Ji;Xi-Le Zhao

Frequent Co-Authors

Xi-Le Zhao
Xi-Le Zhao University of Electronic Science and Technology of China
Liang-Jian Deng
Liang-Jian Deng University of Electronic Science and Technology of China
Naoto Yokoya
Naoto Yokoya University of Tokyo
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Gemine Vivone
Gemine Vivone National Research Council (CNR)
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Guo-Cheng Wu
Guo-Cheng Wu Chongqing University of Posts and Telecommunications
David J. Evans
David J. Evans Loughborough University
Ivan W. Selesnick
Ivan W. Selesnick New York University

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