World's Best Scientists 2026 revealed!
Jingdong Wang

Jingdong Wang

Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
51651
World Ranking
562
National Ranking
77

Research.com Recognitions

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

Overview

Jingdong Wang is affiliated with Baidu in China and has a significant publication record primarily in the fields of Computer Science and Engineering. Their research spans multiple subfields, with a strong concentration in Computer Vision and Pattern Recognition, as well as contributions to Artificial Intelligence, Aerospace Engineering, Signal Processing, and Computer Graphics and Computer-Aided Design.

The scientist's main topics of work include:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods

Frequent publication venues for Jingdong Wang include the following:

  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among the recent papers authored or co-authored by Jingdong Wang are:

  • Deep High-Resolution Representation Learning for Visual Recognition, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • MMDetection: Open MMLab Detection Toolbox and Benchmark, 2024, arXiv (Cornell University)
  • Clinical characteristics of 145 patients with corona virus disease 2019 (COVID-19) in Taizhou, Zhejiang, China, 2020, Infection
  • Context Autoencoder for Self-supervised Representation Learning, 2023, International Journal of Computer Vision
  • OCNet: Object Context for Semantic Segmentation, 2021, International Journal of Computer Vision

Jingdong Wang's frequent co-authors include:

  • Errui Ding
  • Haocheng Feng
  • Guang Dai
  • Junyu Han
  • Jingtuo Liu

Best Publications

  • Deep High-Resolution Representation Learning for Human Pose Estimation

    Ke Sun;Bin Xiao;Dong Liu;Jingdong Wang

  • Scalable Person Re-identification: A Benchmark

    Liang Zheng;Liang Zheng;Liyue Shen;Lu Tian;Shengjin Wang

  • Deep High-Resolution Representation Learning for Visual Recognition

    Jingdong Wang;Ke Sun;Tianheng Cheng;Borui Jiang

  • Learning to Detect a Salient Object

    Tie Liu;Zejian Yuan;Jian Sun;Jingdong Wang

  • Learning to Detect A Salient Object

    Tie Liu;Jian Sun;Nan-Ning Zheng;Xiaoou Tang

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach

    Huaizu Jiang;Jingdong Wang;Zejian Yuan;Yang Wu

  • MARS: A Video Benchmark for Large-Scale Person Re-Identification

    Liang Zheng;Liang Zheng;Zhi Bie;Yifan Sun;Jingdong Wang

  • Object-Contextual Representations for Semantic Segmentation

    Yuhui Yuan;Xilin Chen;Jingdong Wang

  • Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

    Xiaokang Chen;Yuhui Yuan;Gang Zeng;Jingdong Wang

  • A Survey on Learning to Hash

    Jingdong Wang;Ting Zhang;Jingkuan Song;Nicu Sebe

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

    Bowen Cheng;Bin Xiao;Jingdong Wang;Honghui Shi

  • Deeply-Learned Part-Aligned Representations for Person Re-identification

    Liming Zhao;Xi Li;Yueting Zhuang;Jingdong Wang

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • High-Resolution Representations for Labeling Pixels and Regions

    Ke Sun;Yang Zhao;Borui Jiang;Tianheng Cheng

  • OCNet: Object Context Network for Scene Parsing

    Yuhui Yuan;Jingdong Wang

  • Hashing for Similarity Search: A Survey

    Jingdong Wang;Heng Tao Shen;Jingkuan Song;Jianqiu Ji

  • DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

    Xi Li;Liming Zhao;Lina Wei;Ming-Hsuan Yang

  • Automatic Salient Object Segmentation Based on Context and Shape Prior

    Huaizu Jiang;Jingdong Wang;Zejian Yuan;Tie Liu

  • Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

    Zilong Huang;Xinggang Wang;Jiasi Wang;Wenyu Liu

  • Part-Aligned Bilinear Representations for Person Re-Identification

    Yumin Suh;Jingdong Wang;Siyu Tang;Tao Mei

  • Structured Knowledge Distillation for Semantic Segmentation

    Yifan Liu;Ke Chen;Chris Liu;Zengchang Qin

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach

    Jingdong Wang;Huaizu Jiang;Zejian Yuan;Ming-Ming Cheng

Frequent Co-Authors

Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Tao Mei
Tao Mei Jingdong (China)
Qi Tian
Qi Tian Huawei Technologies (China)
Gang Zeng
Gang Zeng Peking University
Guo-Jun Qi
Guo-Jun Qi Futurewei Technologies
Changshui Zhang
Changshui Zhang Tsinghua University
Long Quan
Long Quan Hong Kong University of Science and Technology
Lingxi Xie
Lingxi Xie Huawei Technologies (China)
Wenjun Zeng
Wenjun Zeng Microsoft (United States)

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