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Nanqing Dong


My research focuses on the interaction among machine learning, computer vision, optimization, and quantum computing.

Recently, I am interested in the following areas.

  • Label-Efficient Learning Paradigms
    • unsupervised/self-supervised learning
    • partially supervised Learning
    • transfer learning/domain adaptation
  • Learning-Based Computer Vision
    • semantic understanding
    • image restoration & enhancement
    • medical image analysis

I have been actively involved in the research in the following areas.

  • Quantum Machine Learning
  • Distributed/Federated Learning

Meanwhile, I am collaborating with researchers with different backgrounds to apply AI/ML in the following areas.

  • Data-Driven Energy Control
  • AI for Fair Education 
  • AI for Affordable Healthcare



I am a Ph.D. candidate at the Department of Computer Science, University of Oxford. I am funded by the Department of Computer Science Scholarship. Prior to Oxford, I did research at the Machine Learning Department, Carnegie Mellon University. I obtained my M.S. degree from the Department of Statistical Science, Cornell University


Academic Service

Conference Reviewers:

  • AAAI Conference on Artificial Intelligence 2021 - 2022
  • CVPR: IEEE Conference on Computer Vision and Pattern Recognition 2022
  • ICCV: IEEE International Conference on Computer Vision 2021
  • ICPR: International Conference on Pattern Recognition 2020
  • MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention 2019 - 2021

Journal Reviewers (Invited):

  • Artificial Intelligence in Medicine 2021-2022
  • IEEE Access 2019 - 2021
  • IEEE Transactions on Circuits and Systems for Video Technology 2019 - 2020
  • IEEE Transactions on Medical Imaging 2019 - 2021
  • IEEE Transactions on Neural Networks and Learning Systems 2020 - 2021
  • IEEE Transactions on Pattern Analysis and Machine Intelligence 2021
  • Pattern Recognition 2020 - 2021

Student Ambassador:

  • Computer Science Student Ambassador, University of Oxford



Teaching Assistants:

  • Databases MT 2019
  • Discrete Mathematics MT 2019
  • Machine Learning MT 2019
  • Imperative Programming Parts 1 and 2, HT 2020

Selected Publications

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