World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7761
World Ranking
7988
National Ranking
1048

Overview

Tieyong Zeng is affiliated with the Chinese University of Hong Kong in China. Their research primarily spans the fields of Computer Science and Engineering, with a focus on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Computational Mechanics.

The scientist's work extensively covers several main topics, including:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Sparse and Compressive Sensing Techniques
  • Advanced Image Fusion Techniques
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications

Tieyong Zeng has contributed more than 331 publications in Computer Science and 165 in Engineering. Frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Inverse Problems and Imaging
  • Journal of Scientific Computing
  • Pattern Recognition

The scientist has collaborated frequently with several co-authors, including:

  • Juncheng Li (31 joint works)
  • Fenglei Fan (23 joint works)
  • Tingting Wu (20 joint works)
  • Raymond H. Chan (17 joint works)
  • Chaoyan Huang (15 joint works)

Among notable recent papers are:

  • "Transformer for Single Image Super-Resolution", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Soft-Edge Assisted Network for Single Image Super-Resolution", 2020, IEEE Transactions on Image Processing
  • "CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution", 2023, IEEE Transactions on Image Processing
  • "Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer", 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Rank-One Prior: Real-Time Scene Recovery", 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection

    Xiaolong Li;Bin Yang;Tieyong Zeng

  • Transformer for Single Image Super-Resolution

    Unknown

  • General Framework to Histogram-Shifting-Based Reversible Data Hiding

    Xiaolong Li;Bin Li;Bin Yang;Tieyong Zeng

  • A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding ∗

    Xiaohao Cai;Raymond H. Chan;Tieyong Zeng

  • Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization

    Yu Xiao;Tieyong Zeng;Jian Yu;Michael K. Ng

  • A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing

    Yifei Lou;Tieyong Zeng;Stanley J. Osher;Jack Xin

  • Reducing Artifacts in JPEG Decompression Via a Learned Dictionary

    Huibin Chang;Michael K. Ng;Tieyong Zeng

  • CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution

    Unknown

  • Soft-Edge Assisted Network for Single Image Super-Resolution

    Faming Fang;Juncheng Li;Tieyong Zeng

  • A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise

    Yiqiu Dong;Tieyong Zeng

  • A Multiphase Image Segmentation Method Based on Fuzzy Region Competition

    Fang Li;Michael K. Ng;Tie Yong Zeng;Chunli Shen

  • Rank-One Prior: Real-Time Scene Recovery

    Unknown

  • A Dictionary Learning Approach for Poisson Image Deblurring

    Liyan Ma;L. Moisan;Jian Yu;Tieyong Zeng

  • Multilevel Edge Features Guided Network for Image Denoising

    Unknown

  • Multiplicative Noise Removal via a Learned Dictionary

    Yu-Mei Huang;L. Moisan;M. K. Ng;Tieyong Zeng

  • Surface-Aware Blind Image Deblurring

    Jun Liu;Ming Yan;Tieyong Zeng

  • A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise

    Raymond H. Chan;Hongfei Yang;Tieyong Zeng

  • Quaternion-based weighted nuclear norm minimization for color image restoration

    Unknown

  • Total variation structured total least squares method for image restoration

    Xi-Le Zhao;Xi-Le Zhao;Wei Wang;Tie-Yong Zeng;Ting-Zhu Huang

  • Variational Approach for Restoring Blurred Images with Cauchy Noise

    Federica Sciacchitano;Yiqiu Dong;Tieyong Zeng

  • Detecting LSB matching by applying calibration technique for difference image

    Xiaolong Li;Tieyong Zeng;Bin Yang

  • Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization

    Huibin Chang;Yifei Lou;Michael K. Ng;Tieyong Zeng

  • Weighted variational model for selective image segmentation with application to medical images

    Chunxiao Liu;Michael Kwok Po Ng;Tieyong Zeng

  • Low Rank Prior and Total Variation Regularization for Image Deblurring

    Liyan Ma;Li Xu;Tieyong Zeng

  • Local distribution-based adaptive minority oversampling for imbalanced data classification

    Xinyue Wang;Jian Xu;Tieyong Zeng;Liping Jing

Frequent Co-Authors

Raymond H. Chan
Raymond H. Chan Lingnan University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Yifei Lou
Yifei Lou University of North Carolina at Chapel Hill
Jian Yu
Jian Yu Beijing Jiaotong University
Li Wang
Li Wang National Cheng Kung University
Yang Wang
Yang Wang Hong Kong University of Science and Technology
Mila Nikolova
Mila Nikolova École Normale Supérieure Paris-Saclay
Yaonan Wang
Yaonan Wang Hunan University
Xue-Cheng Tai
Xue-Cheng Tai NORCE Research
Qi Ying
Qi Ying Hong Kong University of Science and Technology

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