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Nanqing Dong

Personal photo - Nanqing Dong

Dr Nanqing Dong

Doctoral Student

Student, Keble College

Leaving date: 19th September 2023


During my time at Oxford, my research focused on the interaction among machine learning, computer vision, optimization, and quantum computing.

My full publication list can be found in my Google Scholar page.

I have been working 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
  • Distributed / Federated Learning
    • distributed optimization
    • federated partially supervised learning
    • federated learning with blockchain
  • Learning-Based Applications
    • autonomous driving
    • data-driven energy control
    • quantum machine learning
    • financial machine learning
  • AI for Science
    • AI for agricultural science
    • AI for biological science
    • AI for medical science

I am looking for research interns and PhD students on AI for Science.


Please contact me by for academic and research purposes.


I am currently a Young Principal Investigator at Shanghai, China (equivalent to the Lecturer in the UK or the Assistant Professor in the USA).  I finished my PhD training at the Department of Computer Science, University of Oxford. I was generously 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 (Invited):

  • AAAI Conference on Artificial Intelligence 
  • CVPR: IEEE Conference on Computer Vision and Pattern Recognition 
  • ECCV: European Conference on Computer Vision
  • ECML: European Conference on Machine Learning   
  • ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing
  • ICCV: IEEE International Conference on Computer Vision 
  • ICLR: International Conference on Learning Representations
  • ICPR: International Conference on Pattern Recognition 
  • MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention 
  • NIPS: Annual Conference on Neural Information Processing Systems

Journal Reviewers (Invited):

  • Artificial Intelligence in Medicine
  • Expert Systems with Applications
  • IEEE Access
  • IEEE Journal of Biomedical and Health Informatics (JBHI)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Medical Imaging (TMI)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Information Fusion
  • International Journal of Computer Vision (IJCV)
  • Medical Image Analysis (MedIA)
  • Neural Computing and Applications
  • Neural Networks
  • Pattern Recognition 

Student Ambassador:

  • Computer Science Student Ambassador, University of Oxford




  • Artificial Intelligence, HT 2022
  • Computer Networks, TT 2022


  • Group Design Practical, HT 2022
  • Group Design Practical, TT 2022


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

Teaching Assistant:

  • Databases, MT 2019
  • Discrete Mathematics, MT 2019

Selected Publications

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