PeopleofSuperintelligence

Researcher

Junyu Dong

Also known as 董军宇

Junyu Dong is a computer-vision researcher at Ocean University of China who applies machine learning to ocean data and underwater imaging. He completed a PhD on photometric texture synthesis at Heriot-Watt University in 2003 and joined Ocean University of China in 2004. In 2017, he coauthored a paper that used LSTM networks to predict sea surface temperature, and he went on to coauthor the OUC underwater object detection dataset in 2020, the UWStereo stereo-matching dataset in 2024 and an Arctic sea ice forecasting network in 2025. He is a professor and Dean of the Faculty of Information Science and Technology there, and Editor-in-Chief of the journal Intelligent Marine Technology and Systems.

Badges

Timeline

  1. 2003

    A Heriot-Watt doctorate

    He completes a PhD in 2003 in the Department of Computing and Electrical Engineering at Heriot-Watt University, supervised by Mike Chantler. His subject is photometric texture synthesis.

  2. 2004

    Joining Ocean University of China

    He joins Ocean University of China in 2004. His research there covers ocean big data, machine learning and computer vision.

  3. 2015

    A deep hashing network

    In 2015, he coauthors A Deep Hashing Learning Network with Guoqiang Zhong, Pan Yang and Sijiang Wang. The paper builds a supervised hashing method on a deep convolutional neural network that learns hash codes and compact data representations together.

  4. 2017

    LSTM forecasts of sea temperature

    In 2017, he coauthors Prediction of Sea Surface Temperature using Long Short-Term Memory with Qin Zhang, Hui Wang, Guoqiang Zhong and Xin Sun. The paper makes one-week and one-month daily forecasts, reports accuracy on the coastal seas of China, and describes itself as the first attempt, to the authors' knowledge, to use a recurrent neural network for sea surface temperature prediction.

  5. 2020

    The OUC underwater dataset

    In 2020, he coauthors a benchmark paper with Long Chen, Huiyu Zhou and colleagues that introduces the OUC dataset for underwater object detection. The dataset carries bounding-box annotations and high-quality reference images, so researchers can study how underwater image enhancement affects detection.

  6. 2024

    The UWStereo dataset

    In 2024, he coauthors UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching with Qingxuan Lv, Yuezun Li and others. The dataset holds 29,568 synthetic stereo image pairs across four underwater scenes, with dense disparity annotations.

  7. 2025

    Forecasting Arctic sea ice

    In 2025, he coauthors the Frequency-Compensated Network, or FCNet, with Jialiang Zhang, Feng Gao, Yanhai Gan and Qian Du. The dual-branch network forecasts daily Arctic sea ice concentration and is tested on a satellite-derived daily dataset.

  8. As of October 2026

    Dean and journal editor

    He is a professor and the Dean of the Faculty of Information Science and Technology at Ocean University of China, and Editor-in-Chief of the journal Intelligent Marine Technology and Systems. He has published more than 100 papers in major journals and conferences, among them IJCV, IEEE Transactions, ICCV, AAAI and IJCAI.

Career

  1. Since 2004Ocean University of ChinaProfessor

Education

  1. 2003Heriot-Watt UniversityPhD

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Heriot-Watt University. 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 Heriot-Watt University. 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. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Heriot-Watt University. 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.
  4. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

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 Junyu Dong yet. Send us a free-licensed photo.

  1. Texturelab Edinburgh – People macs.hw.ac.uk. Checked 21 October 2026.
  2. DONG, Junyu – Faculty profile, Ocean University of China it.ouc.edu.cn. Checked 21 October 2026.
  3. A Deep Hashing Learning Network arxiv.org. Checked 21 October 2026.
  4. Prediction of Sea Surface Temperature using Long Short-Term Memory arxiv.org. Checked 21 October 2026.
  5. A Benchmark dataset for both underwater image enhancement and underwater object detection arxiv.org. Checked 21 October 2026.
  6. UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching arxiv.org. Checked 21 October 2026.
  7. Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction arxiv.org. Checked 21 October 2026.
  8. Intelligent Marine Technology and Systems – Editorial board journal.hep.com.cn. Checked 21 October 2026.