World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
39
Citations
7666
World Ranking
684
National Ranking
239

Computer Science

D-Index
41
Citations
8446
World Ranking
8734
National Ranking
1132

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Qian Zhao is affiliated with Xi'an Jiaotong University in China and has a research portfolio predominantly in computer science and engineering. Their work spans multiple subfields including computer vision and pattern recognition, artificial intelligence, media technology, molecular biology, and electrical and electronic engineering.

The scientist has published extensively on topics related to image and signal denoising methods, advanced image processing techniques, and advanced image fusion techniques. Other notable research interests include image enhancement techniques, advanced neural network applications, advanced vision and imaging, and image processing techniques and applications.

They have contributed to a number of scientific venues with a concentration of publications in arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, bioRxiv (Cold Spring Harbor Laboratory), and Science China Information Sciences.

Among recent publications are:

  • "MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion" (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing" (2020), IEEE Transactions on Image Processing
  • "Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Survey on rain removal from videos or a single image" (2021), Science China Information Sciences
  • "MultiModal-GPT: A Vision and Language Model for Dialogue with Humans" (2023), arXiv (Cornell University)

Qian Zhao frequently collaborates with several researchers, including Deyu Meng, Qi Xie, Zongsheng Yue, Zongben Xu, and Yichuan Shao. These collaborations appear across multiple published works, indicating sustained joint research efforts.

Best Publications

  • 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

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

    Hong Wang;Qi Xie;Qian Zhao;Deyu Meng

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

    Jun Shu;Qi Xie;Lixuan Yi;Qian Zhao

  • Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

    Qi Xie;Qian Zhao;Deyu Meng;Zongben Xu

  • Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

    Qi Xie;Minghao Zhou;Qian Zhao;Deyu Meng

  • Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization

    Qi Xie;Qian Zhao;Deyu Meng;Zongben Xu

  • Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation

    Zongsheng Yue;Qian Zhao;Lei Zhang;Deyu Meng

  • MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion.

    Qi Xie;Minghao Zhou;Qian Zhao;Zongben Xu

  • Robust Principal Component Analysis with Complex Noise

    Qian Zhao;Deyu Meng;Zongben Xu;Wangmeng Zuo

  • Variational Denoising Network: Toward Blind Noise Modeling and Removal

    Zongsheng Yue;Zongsheng Yue;Hongwei Yong;Qian Zhao;Deyu Meng;Deyu Meng

  • Video Rain Streak Removal by Multiscale Convolutional Sparse Coding

    Minghan Li;Qi Xie;Qian Zhao;Wei Wei

  • Denoising Hyperspectral Image With Non-i.i.d. Noise Structure

    Yang Chen;Xiangyong Cao;Qian Zhao;Deyu Meng

  • Should We Encode Rain Streaks in Video as Deterministic or Stochastic

    Wei Wei;Lixuan Yi;Qi Xie;Qian Zhao

  • Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing

    Jiangjun Peng;Qi Xie;Qian Zhao;Yao Wang

  • Improve robustness of sparse PCA by L1-norm maximization

    Deyu Meng;Qian Zhao;Zongben Xu

  • Infrared small-dim target detection based on Markov random field guided noise modeling

    Chenqiang Gao;Lan Wang;Yongxing Xiao;Qian Zhao

  • Self-paced learning for matrix factorization

    Qian Zhao;Deyu Meng;Lu Jiang;Qi Xie

  • Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing

    Jing Yao;Deyu Meng;Qian Zhao;Wenfei Cao

  • 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

Deyu Meng
Deyu Meng Xi'an Jiaotong University
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Yee Leung
Yee Leung Chinese University of Hong Kong
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Jianhua Ma
Jianhua Ma Hosei University
Zhengrong Liang
Zhengrong Liang Stony Brook University
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Yefeng Zheng
Yefeng Zheng Tencent (China)

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