PeopleofSuperintelligence

Researcher

Junjun Jiang

Also known as Jiang Junjun, Jun-Jun Jiang, 江俊君

Junjun Jiang is a computer vision researcher at Harbin Institute of Technology who works on image super-resolution and restoration. After a mathematics degree at Huaqiao University in 2009 and a doctorate in computer science at Wuhan University in 2014, he served as an associate professor at China University of Geosciences in Wuhan and as a project researcher at the National Institute of Informatics in Tokyo. He joined Harbin Institute of Technology as a professor in 2018 and, in 2020, coauthored the SSPSR network for single hyperspectral image super-resolution. Surveys of face super-resolution in 2021 and all-in-one image restoration in 2024 followed, and in 2025 he was first among the Harbin contributors to a work that won the Wu Wenjun Artificial Intelligence Natural Science first prize. He is a professor in the Faculty of Computing at Harbin Institute of Technology.

Timeline

  1. 2009–2014

    A Wuhan University doctorate

    He receives a B.S. in mathematics from Huaqiao University in 2009 and a Ph.D. in computer science from Wuhan University in 2014.

  2. 2015–2018

    Associate professor in Wuhan

    He serves as an associate professor of computer science at China University of Geosciences in Wuhan from 2015 to 2018.

  3. 2016–2018

    Researcher at Tokyo's NII

    From 2016 to 2018, he works as a project researcher at the National Institute of Informatics in Tokyo.

  4. 2018

    Professor at Harbin Institute of Technology

    In 2018, he becomes a full professor of computer science at Harbin Institute of Technology.

  5. 2020

    A hyperspectral super-resolution network

    In 2020, he coauthors Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery with He Sun, Xianming Liu and Jiayi Ma. The paper presents SSPSR, a residual-learning network for single hyperspectral image super-resolution that uses a spatial-spectral prior network, group convolution and progressive upsampling, and IEEE Transactions on Computational Imaging accepts it.

  6. 2021–2024

    Two image restoration surveys

    In 2021, he coauthors a survey of deep learning-based face super-resolution with Chenyang Wang, Xianming Liu and Jiayi Ma, accepted to ACM Computing Surveys. In October 2024, he posts a survey of all-in-one image restoration with Zengyuan Zuo, Gang Wu, Kui Jiang and Xianming Liu; the approach handles several kinds of image degradation in one unified framework.

  7. 2025

    A first prize in natural science

    In 2025, the Wu Wenjun Artificial Intelligence Science and Technology Award gives its natural science first prize to Spatiotemporal Spectral Visual Structure Perception and Robust Learning Theory, and he is first among the Harbin Institute of Technology contributors, with Xianming Liu fourth. The university reports the result in March 2026.

  8. As of October 2026

    Professor in the Faculty of Computing

    As of October 2026, he is a professor in the Faculty of Computing at Harbin Institute of Technology.

Career

  1. Since 2018Harbin Institute of TechnologyFull Professor of Computer Science
  2. 2016–2018Research Organization of Information and SystemsProject Researcher
  3. 2015–2018China University of GeosciencesAssociate Professor of Computer Science

Education

  1. 2014Wuhan UniversityPh.D. in computer science
  2. 2009Huaqiao UniversityB.S. in mathematics

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Harbin Institute of Technology. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Harbin Institute of Technology. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes Harbin Institute of Technology. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Harbin Institute of Technology. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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

  1. A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends (HTML version) arxiv.org. Checked 21 October 2026.
  2. Junjun Jiang on alphaXiv alphaxiv.org. Checked 21 October 2026.
  3. Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery arxiv.org. Checked 21 October 2026.
  4. Deep Learning-based Face Super-Resolution: A Survey arxiv.org. Checked 21 October 2026.
  5. A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends arxiv.org. Checked 21 October 2026.
  6. HIT community members win Wu Wenjun AI Science & Technology Award en.hit.edu.cn. Checked 21 October 2026.
  7. Junjun Jiang - Harbin Institute of Technology scholar.hit.edu.cn. Checked 21 October 2026.