PeopleofSuperintelligence

Researcher

Chao Dong

Also known as 董超, Dong Chao

Chao Dong is a computer-vision researcher whose 2014 SRCNN paper brought deep learning into image super-resolution. He earned an engineering degree at Beijing Institute of Technology, completed an Information Engineering PhD at CUHK, and led SenseTime's Super-Resolution Group from 2016 to 2018. At SIAT, he directs the Multimedia Integrated Technology Research Center and serves as a leading scientist at Shanghai AI Laboratory. His team won international super-resolution challenges, and his coauthored BSRN-S model won NTIRE 2022's model-complexity track. He received AI 2000's computer-vision honorable mention in 2022 and the Shanghai Municipal Technical Invention Award, first prize, in 2023, and he is a full professor at Shenzhen University of Advanced Technology.

Now at
Shenzhen Institute of Advanced Technology, Shanghai Artificial Intelligence Laboratory and Shenzhen University of Advanced Technology
Works
108
Citations
41,777
h-index
55
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2011

    An engineering degree

    He earns a B.E. in 2011 from Beijing Institute of Technology's School of Information and Electronics.

  2. 2014

    SRCNN for image super-resolution

    In 2014, he and his coauthors publish SRCNN, an end-to-end CNN that maps low-resolution images to high-resolution images and brings deep learning into single-image super-resolution.

  3. 2016–2018

    SenseTime's Super-Resolution Group

    He completes a PhD in Information Engineering at CUHK in 2016 and works at SenseTime from 2016 to 2018 as team leader of its Super-Resolution Group.

  4. Since 2018

    Directing SIAT's multimedia center

    He joins SIAT as a researcher in 2018 and directs its Multimedia Integrated Technology Research Center. He also serves as a leading scientist at Shanghai AI Laboratory.

  5. 2018–2022

    Super-resolution challenge wins

    His team wins championships at NTIRE 2018, PIRM 2018, NTIRE 2019, NTIRE 2020, AIM 2020, and NTIRE 2022.

  6. 2022

    AI 2000 and BSRN-S

    AI 2000 recognizes him as an Honorable Mention in computer vision in 2022. He coauthors BSRN, whose smaller BSRN-S variant wins first place in the NTIRE 2022 model-complexity track.

  7. 2023

    A Shanghai invention award

    He receives first prize in the Shanghai Municipal Technical Invention Award in 2023.

  8. As of October 2026

    Professor at SUAT

    As of October 2026, he is a full professor at Shenzhen University of Advanced Technology and a professor at SIAT and Shanghai Artificial Intelligence Laboratory.

Career

  1. Since 2024Shenzhen University of Advanced TechnologyFull Professor
  2. Since 2018Shenzhen Institute of Advanced TechnologyResearcher
  3. Since 2018Shanghai Artificial Intelligence LaboratoryLeading Scientist
  4. 2018–2026Chinese Academy of Sciences
  5. 2016–2018SenseTimeTeam Leader

Education

  1. 2016Chinese University of Hong KongPhD
  2. 2011Beijing Institute of TechnologyB.E.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Image Super-Resolution Using Deep Convolutional Networks2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 10,057 citationsWith Chen Change Loy, Kaiming He and Xiaoou Tang
  2. Learning a Deep Convolutional Network for Image Super-Resolution2014 · Lecture notes in computer science · 5,822 citationsWith Chen Change Loy, Kaiming He and Xiaoou Tang
  3. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks2019 · Lecture notes in computer science · 4,984 citationsWith Chen Change Loy and Yu Qiao
  4. Accelerating the Super-Resolution Convolutional Neural Network2016 · Lecture notes in computer science · 3,776 citationsWith Chen Change Loy and Xiaoou Tang
  5. Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data2021 · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 1,769 citations

From OpenAlex, as of 19 October 2026.

  1. The company share of AI researchers’ top papers rose from 2% to 32%Includes Shanghai Artificial Intelligence Laboratory. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  2. 4 of the 25 people with the most-cited recent papers also lead on career citationsIncludes Shanghai Artificial Intelligence Laboratory. We compare citations to 2023–2025 papers with career citations and h-index, after correcting reviewed publication-date errors: who leads, when they started and where they work.
  3. Google has the highest combined h-index among AI organizationsIncludes Chinese University of Hong Kong. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Chinese Academy of Sciences. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Chao Dong yet. Send us a free-licensed photo.

  1. Chao DONG mmlab.ie.cuhk.edu.hk. Checked 18 October 2026.
  2. Image Super-Resolution Using Deep Convolutional Networks arxiv.org. Checked 18 October 2026.
  3. Chao Dong - XPixel xpixel.group. Checked 18 October 2026.
  4. The EDVR Framework Developed by Multimedia Lab won in the NTIRE 2019 cloud.itsc.cuhk.edu.hk. Checked 18 October 2026.
  5. 董超-计算机科学与人工智能学院 csce.suat-sz.edu.cn. Checked 18 October 2026.
  6. Contributor sa2025.conference-schedule.org. Checked 18 October 2026.
  7. Blueprint Separable Residual Network for Efficient Image Super-Resolution openaccess.thecvf.com. Checked 18 October 2026.