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Computer Science

D-Index
53
Citations
8630
World Ranking
4918
National Ranking
662

Overview

Xi-Le Zhao is affiliated with the University of Electronic Science and Technology of China in China. Their research spans primarily across the fields of Computer Science and Engineering, with significant contributions to subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Computational Mathematics, and Radiology, Nuclear Medicine and Imaging.

The scientist's work prominently focuses on several specialized topics within these fields, including Image and Signal Denoising Methods, Sparse and Compressive Sensing Techniques, Tensor Decomposition and Applications, Advanced Image Fusion Techniques, Advanced Image Processing Techniques, Remote-Sensing Image Classification, and Advanced Neuroimaging Techniques and Applications.

Their recent notable publications include:

  • Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Weighted Low-Rank Tensor Recovery for Hyperspectral Image Restoration, 2020, IEEE Transactions on Cybernetics
  • 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
  • Deep plug-and-play prior for low-rank tensor completion, 2020, Neurocomputing

Throughout their career, Xi-Le Zhao has frequently published in venues such as arXiv (Cornell University), IEEE Transactions on Geoscience and Remote Sensing, Journal of Scientific Computing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and IEEE Transactions on Neural Networks and Learning Systems.

The scientist has collaborated extensively with several frequent coauthors, including Ting-Zhu Huang, Tai-Xiang Jiang, Michael K. Ng, Yu-Bang Zheng, and Yisi Luo.

Best Publications

  • Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior

    Unknown

  • Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

    Yao Wang;Jiangjun Peng;Qian Zhao;Yee Leung

  • 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

  • Weighted Low-Rank Tensor Recovery for Hyperspectral Image Restoration

    Yi Chang;Luxin Yan;Xi-Le Zhao;Houzhang Fang

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

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

  • 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

  • A New Convex Optimization Model for Multiplicative Noise and Blur Removal

    Xi Le Zhao;Xi Le Zhao;Fan Wang;Michael K. Ng

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

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

  • Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting

    Unknown

  • GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification

    Unknown

  • 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

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

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

  • 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

  • Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery

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

  • Deep plug-and-play prior for low-rank tensor completion

    Xi-Le Zhao;Wen-Hao Xu;Tai-Xiang Jiang;Yao Wang;Yao Wang

  • Speckle noise removal in ultrasound images by first- and second-order total variation

    Si Wang;Ting-Zhu Huang;Xi-Le Zhao;Jin-Jin Mei

  • Low-rank tensor completion via smooth matrix factorization

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

  • Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

    Yao Wang;Jiangjun Peng;Qian Zhao;Deyu Meng

Frequent Co-Authors

Ting-Zhu Huang
Ting-Zhu Huang University of Electronic Science and Technology of China
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Wei Wang
Wei Wang Harbin Institute of Technology
Qian Zhao
Qian Zhao Xi'an Jiaotong University
Yee Leung
Yee Leung Chinese University of Hong Kong
Naoto Yokoya
Naoto Yokoya University of Tokyo
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Yifei Lou
Yifei Lou University of North Carolina at Chapel Hill

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