World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
31659
World Ranking
1317
National Ranking
176

Overview

Deyu Meng is affiliated with Xi'an Jiaotong University in China. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The scientist's work covers a variety of topics, including:

  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Advanced Image Fusion Techniques
  • Remote-Sensing Image Classification
  • Image Enhancement Techniques
  • Domain Adaptation and Few-Shot Learning
  • Sparse and Compressive Sensing Techniques

Deyu Meng has contributed to several recent papers, highlighting ongoing research interests and collaborations. These include:

  • "Hyperspectral Image Classification With Convolutional Neural Network and Active Learning," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion," 2023, IEEE Transactions on Geoscience and Remote Sensing
  • "Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing," 2020, IEEE Transactions on Image Processing

Their frequent co-authors list includes several researchers with whom they have collaborated extensively:

  • Xiangyong Cao
  • Qian Zhao
  • Chenqiang Gao
  • Zongben Xu
  • Yefeng Zheng

Deyu Meng's publications often appear in noted venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Best Publications

  • Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

    Kai Zhang;Wangmeng Zuo;Yunjin Chen;Deyu Meng

  • Infrared Patch-Image Model for Small Target Detection in a Single Image

    Chenqiang Gao;Deyu Meng;Yi Yang;Yongtao Wang

  • Progressive Image Deraining Networks: A Better and Simpler Baseline

    Dongwei Ren;Wangmeng Zuo;Qinghua Hu;Pengfei Zhu

  • Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

    Shuhang Gu;Qi Xie;Deyu Meng;Wangmeng Zuo

  • Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

    Jun Shu;Qi Xie;Lixuan Yi;Qian Zhao

  • Self-paced curriculum learning

    Lu Jiang;Deyu Meng;Qian Zhao;Shiguang Shan

  • Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework

    Dingwen Zhang;Deyu Meng;Junwei Han

  • Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

    Xiangyong Cao;Feng Zhou;Lin Xu;Deyu Meng

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

    Yao Wang;Jiangjun Peng;Qian Zhao;Yee Leung

  • Semi-Supervised Transfer Learning for Image Rain Removal

    Wei Wei;Deyu Meng;Qian Zhao;Zongben Xu

  • A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding

    Wangmeng Zuo;Deyu Meng;Lei Zhang;Xiangchu Feng

  • DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation

    Jiang Liu;Chenqiang Gao;Deyu Meng;Alexander G. Hauptmann

  • A Model-Driven Deep Neural Network for Single Image Rain Removal

    Hong Wang;Qi Xie;Qian Zhao;Deyu Meng

  • Convolutional Sparse Coding for Image Super-Resolution

    Shuhang Gu;Wangmeng Zuo;Qi Xie;Deyu Meng

  • EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network

    Unknown

  • Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising

    Yi Peng;Deyu Meng;Zongben Xu;Chenqiang Gao

  • Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach

    Kede Ma;Hui Li;Hongwei Yong;Zhou Wang

  • Self-Paced Learning with Diversity

    Lu Jiang;Deyu Meng;Shoou-I Yu;Zhenzhong Lan

  • Hyperspectral Image Classification With Convolutional Neural Network and Active Learning

    Xiangyong Cao;Jing Yao;Zongben Xu;Deyu Meng

  • Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search

    Lu Jiang;Deyu Meng;Teruko Mitamura;Alexander G. Hauptmann

  • Variational Denoising Network: Toward Blind Noise Modeling and Removal

    Zongsheng Yue;Hongwei Yong;Qian Zhao;Lei Zhang

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

    Yao Wang;Jiangjun Peng;Qian Zhao;Deyu Meng

Frequent Co-Authors

Qian Zhao
Qian Zhao Xi'an Jiaotong University
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Yee Leung
Yee Leung Chinese University of Hong Kong
Jianhua Ma
Jianhua Ma Hosei University
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Junwei Han
Junwei Han Northwestern Polytechnical University

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