Skip to main content

Nanqing Dong

Interests

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

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

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.

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

 

Biography

I am a Ph.D. candidate at the Department of Computer Science, University of Oxford. I am 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
  • ICCV: IEEE International Conference on Computer Vision 
  • ICPR: International Conference on Pattern Recognition 
  • MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention 

Journal Reviewers (Invited):

  • Artificial Intelligence in Medicine 
  • IEEE Access 
  • 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)
  • International Journal of Computer Vision (IJCV)
  • Neural Computing and Applications
  • Pattern Recognition 

Student Ambassador:

  • Computer Science Student Ambassador, University of Oxford

 

Teaching 

Tutor:

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

Supervisor:

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

Demonstrator:

  • 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

View AllManage publications

Supervisor