World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
35155
World Ranking
675
National Ranking
95

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Lei Zhang is affiliated with the International Digital Economy Academy in China and has contributed extensively to the fields of computer science and engineering. Their research focuses primarily on computer vision and pattern recognition, media technology, artificial intelligence, biomedical engineering, and aerospace engineering.

The scientist's work spans multiple main topics related to advanced neural network applications, remote-sensing image classification, advanced image fusion techniques, domain adaptation and few-shot learning, advanced image and video retrieval techniques, image and signal denoising methods, and advanced image processing techniques.

Lei Zhang has frequently published in several prominent venues including arXiv (Cornell University), IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, and Remote Sensing.

Their recent papers include:

  • "Mutual consistency learning for semi-supervised medical image segmentation," 2022, Medical Image Analysis
  • "Deep HDR Imaging via A Non-Local Network," 2020, IEEE Transactions on Image Processing
  • "Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "CvT: Introducing Convolutions to Vision Transformers," 2021, arXiv (Cornell University)
  • "Deep Blind Hyperspectral Image Super-Resolution," 2020, IEEE Transactions on Neural Networks and Learning Systems

Collaborations have been an important part of Lei Zhang's work, with frequent coauthors including Wei Wei, Yanning Zhang, Jiangtao Nie, Chen Ding, and Chenhang He.

Best Publications

  • Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

    Peter Anderson;Xiaodong He;Chris Buehler;Damien Teney

  • MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

    Yandong Guo;Lei Zhang;Yuxiao Hu;Xiaodong He

  • Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

    Xiujun Li;Xi Yin;Chunyuan Li;Pengchuan Zhang

  • HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

    Bowen Cheng;Bin Xiao;Jingdong Wang;Honghui Shi

  • Dynamic Head: Unifying Object Detection Heads with Attentions

    Xiyang Dai;Yinpeng Chen;Bin Xiao;Dongdong Chen

  • VinVL: Revisiting Visual Representations in Vision-Language Models

    Pengchuan Zhang;Xiujun Li;Xiaowei Hu;Jianwei Yang

  • Unified Vision-Language Pre-Training for Image Captioning and VQA

    Luowei Zhou;Hamid Palangi;Lei Zhang;Houdong Hu

  • Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

    Xin Wang;Qiuyuan Huang;Asli Celikyilmaz;Jianfeng Gao

  • CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise

    Kuang-Huei Lee;Xiaodong He;Lei Zhang;Linjun Yang

  • Lite-HRNet: A Lightweight High-Resolution Network

    Changqian Yu;Bin Xiao;Changxin Gao;Lu Yuan

  • Multilinear Discriminant Analysis for Face Recognition

    Shuicheng Yan;Dong Xu;Qiang Yang;Lei Zhang

  • AnnoSearch: Image Auto-Annotation by Search

    Xin-Jing Wang;Lei Zhang;Feng Jing;Wei-Ying Ma

  • Bottom-Up and Top-Down Attention for Image Captioning and VQA.

    Peter Anderson;Xiaodong He;Chris Buehler;Damien Teney

  • Photo2Trip: generating travel routes from geo-tagged photos for trip planning

    Xin Lu;Changhu Wang;Jiang-Ming Yang;Yanwei Pang

  • Efficient 3D reconstruction for face recognition

    Dalong Jiang;Yuxiao Hu;Shuicheng Yan;Lei Zhang

  • Dynamic DETR: End-to-End Object Detection With Dynamic Attention

    Xiyang Dai;Yinpeng Chen;Jianwei Yang;Pengchuan Zhang

  • Ionic/electronic hybrid materials integrated in a synaptic transistor with signal processing and learning functions

    Qianxi Lai;Lei Zhang;Zhiyong Li;William F. Stickle

  • Support vector machine learning for image retrieval

    Lei Zhang;Fuzong Lin;Bo Zhang

  • Spatial-bag-of-features

    Yang Cao;Changhu Wang;Zhiwei Li;Liqing Zhang

  • Pairwise rotation invariant co-occurrence local binary pattern

    Xianbiao Qi;Rong Xiao;Jun Guo;Lei Zhang

  • Object-Driven Text-To-Image Synthesis via Adversarial Training

    Wenbo Li;Pengchuan Zhang;Lei Zhang;Qiuyuan Huang

  • Face annotation for photo management

    Lei Zhang;Longbin Chen;Mingjing Li;Hong-Jiang Zhang

Frequent Co-Authors

Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Changhu Wang
Changhu Wang ByteDance
Zhiwei Li
Zhiwei Li Microsoft (United States)
Mingjing Li
Mingjing Li Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Yanwei Pang
Yanwei Pang Tianjin University
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)

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