World's Best Scientists 2026 revealed!
Weisheng Dong

Weisheng Dong

D-Index & Metrics

Computer Science

D-Index
41
Citations
12136
World Ranking
8618
National Ranking
1123

Overview

Weisheng Dong is affiliated with Xidian University in China. Their research spans several areas within computer science and engineering, with a particular focus on computer vision, image processing, and artificial intelligence.

Their main fields of study include:

  • Computer Science
  • Engineering

In terms of subfields, their work intersects with:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computational Mechanics

The primary topics covered in their research are:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Image Enhancement Techniques
  • Image and Video Quality Assessment
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications

Among Weisheng Dong's recent publications are:

  • "Model-Guided Deep Hyperspectral Image Super-Resolution," 2021, IEEE Transactions on Image Processing
  • "End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network," 2020, IEEE Transactions on Image Processing
  • "Blind Image Quality Assessment With Active Inference," 2021, IEEE Transactions on Image Processing
  • "Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization," 2022, IEEE Transactions on Computational Imaging
  • "Generalizable No-Reference Image Quality Assessment via Deep Meta-Learning," 2021, IEEE Transactions on Circuits and Systems for Video Technology

The most frequent co-authors of Weisheng Dong include:

  • Guangming Shi
  • Jinjian Wu
  • Leida Li
  • Xin Li
  • Fangfang Wu

Their work appears regularly in prominent publication venues such as:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neurocomputing

Weisheng Dong has also contributed to book publications with Springer Science+Business Media, including titles under the theme of Artificial Intelligence published in 2021.

Best Publications

  • Nonlocally Centralized Sparse Representation for Image Restoration

    Weisheng Dong;Lei Zhang;Guangming Shi;Xin Li

  • Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

    Weisheng Dong;Lei Zhang;Guangming Shi;Xiaolin Wu

  • Two-stage image denoising by principal component analysis with local pixel grouping

    Lei Zhang;Weisheng Dong;David Zhang;Guangming Shi

  • Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach

    Weisheng Dong;Guangming Shi;Xin Li

  • Compressive Sensing via Nonlocal Low-Rank Regularization

    Weisheng Dong;Guangming Shi;Xin Li;Yi Ma

  • Sparsity-based image denoising via dictionary learning and structural clustering

    Weisheng Dong;Xin Li;Lei Zhang;Guangming Shi

  • Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation

    Weisheng Dong;Fazuo Fu;Guangming Shi;Xun Cao

  • Denoising Prior Driven Deep Neural Network for Image Restoration

    Weisheng Dong;Peiyao Wang;Wotao Yin;Guangming Shi

  • Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling

    Weisheng Dong;Lei Zhang;R. Lukac;Guangming Shi

  • MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

    Hancheng Zhu;Leida Li;Jinjian Wu;Weisheng Dong

  • Centralized sparse representation for image restoration

    Weisheng Dong;Lei Zhang;Guangming Shi

  • Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture

    Weisheng Dong;Guangming Shi;Yi Ma;Xin Li

  • Model-Guided Deep Hyperspectral Image Super-Resolution

    Weisheng Dong;Chen Zhou;Fangfang Wu;Jinjian Wu

  • Nonlocal back-projection for adaptive image enlargement

    Weisheng Dong;Lei Zhang;Guangming Shi;Xiaolin Wu

  • Enhanced Just Noticeable Difference Model for Images With Pattern Complexity

    Jinjian Wu;Leida Li;Weisheng Dong;Guangming Shi

  • Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

    Tao Huang;Weisheng Dong;Xin Yuan;Jinjian Wu

  • End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network

    Jinjian Wu;Jupo Ma;Fuhu Liang;Weisheng Dong

  • Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation

    Tao Huang;Weisheng Dong;Xuemei Xie;Guangming Shi

  • Deep Spatial–Spectral Representation Learning for Hyperspectral Image Denoising

    Weisheng Dong;Huan Wang;Fangfang Wu;Guangming Shi

  • Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization

    Unknown

  • Image reconstruction with locally adaptive sparsity and nonlocal robust regularization

    Weisheng Dong;Guangming Shi;Xin Li;Lei Zhang

  • Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

    Weisheng Dong;Lei Zhang;Guangming Shi;Xiaolin Wu

Frequent Co-Authors

Guangming Shi
Guangming Shi Xidian University
Jinjian Wu
Jinjian Wu Xidian University
xin li
xin li Louisiana State University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Xiaolin Wu
Xiaolin Wu McMaster University
Weisi Lin
Weisi Lin Nanyang Technological University
Yi Ma
Yi Ma University of Hong Kong
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Xu Jizheng
Xu Jizheng ByteDance
Xin Yuan
Xin Yuan Nanyang Technological University

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