Liangqiong Qu

Liangqiong Qu

Assitant Professor at the University of Hong Kong

I am an Assistant Professor in the Department of Statistics and Actuarial Science at The University of Hong Kong.

I am looking for self-motivated Postdoc, Ph.D. students, and remote interns to join my group in Spring/Fall 2025/2026. Please drop me an email if you are interested.

I am also looking for self-motivated students for the HKU CDS Research Internship Programme 2025. Selected candidates will come to HKU this summer with financial support. Details can be found here: https://www.cds.hku.hk/rintern/index.html

Previously, I was a postdoctoral research fellow at Stanford University and the University of North Carolina at Chapel Hill. I obtained my joint Ph.D. degree in University of Chinese Academy of Sciences and City University of Hong Kong. My research interests span the area of artificial intelligence, computer vision and medical imaging processing, with a special focus on 1) deep learning-driven image acquisition and reconstruction, and 2) the development of trustworthy medical AI systems from imperfect medical data.

RECENT NEWS

  • 2025-01: One paper accepted to ICLR 2025 Paper.
  • 2025-01: Serve as an Area Chair of MICCAI 2025.
  • 2024-10: Two papers accepted to AAAI 2025.
  • 2024-10: One paper about report generation was accepted to EMNLP 2024.
  • 2024-06: One paper was accepted to Cancer Cell 2024 (IF: 50.3) Paper.
  • 2024-05: One paper about federated learning was accepted to MICCAI 2024 (Early Acceptance) Paper.
  • 2024-04: One paper about federated learning was accepted to TMLR 2024.
  • 2024-02: We are organizing a special issue “Artificial Intelligence Applications in Ophthalmology” on Bioengineering Indexed by SCIE (IF 4.6), Scopus (CiteScore 4.2). Deadline for manuscript submissions: 31 July 2024.
  • 2024-02: Three papers accepted to IEEE CVPR 2024.
  • 2024-02: One paper accepted to IEEE Trans Geosci Remote Sens. 2024.
  • 2023-12: One paper accepted to AAAI 2024.
  • 2023-10: One paper about medical report generation was accepted to EMNLP 2023 (Oral Presentation) Paper.
  • 2023-08: Our dataset with paired T1 and T2-weighted MR images (3T & 7T) of 10 healthy subjects is now available in Scientific Data. Enjoy! Paper
  • 2023-06: Our paper on GNNs has won the best paper award for the methods track on CHIL 2023 Paper