Biography

Dr. Mingyuan Meng is an Assistant Professor and PhD Supervisor at Beijing Zhongguancun Academy and Zhongguancun Institute of Artificial Intelligence in China. Before this, he was a Postdoctoral Researcher at the School of Computer Science, the University of Sydney in Australia until Mar 2026, and a Visiting Scholar at the Institute of Translational Medicine, Shanghai Jiao Tong University in China from Jul 2024 to Jun 2025.

Dr. Meng received a BE degree from Tsinghua University in 2018, supervised by Prof. Yong Li and Prof. Beixing Deng, and then received MPhil/PhD degrees from the University of Sydney in 2021/2025, supervised by Prof. Jinman Kim, Prof. David Dagan Feng, and Prof. Lei Bi.

Dr. Meng’s research focus is deep learning for medical image analysis, especially in medical image dense prediction and image-based diagnosis/prognosis. His research projects involve medical image registration, segmentation, and reconstruction, as well as diagnosis and prognosis prediction based on multi-modal vision-language data.

News

  • [03/2026] Attend Beijing Zhongguancun Academy as Assistant Professor.
  • [10/2025] One paper is accepted by IEEE Transactions on Multimedia (TMM).
  • [09/2025] We are the First-placed Winner🏆 at MICCAI 2025 HECKTOR Challenge.
  • [09/2025] Long Oral Presentation at MICCAI 2025 Doctoral Consortium (Top 8 Finalist🏆)
  • [07/2025] Received the Outstanding PhD Thesis Award🏆 at the University of Sydney (Top 2 at the School of Computer Science).
  • [06/2025] One paper is accepted by ICCV 2025.
  • [02/2025] PhD degree is awarded at the University of Sydney.
  • [01/2025] One paper is accepted by IEEE Transactions on Medical Imaging (TMI).
  • [12/2024] One paper is accepted by Pattern Recognition (PR).
  • [08/2024] One paper is accepted by npj Precision Oncology.
  • [06/2024] Two papers are accepted by MICCAI 2024.
  • [03/2024] Our paper titled Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration is accepted by CVPR 2024 and is nominated as Best Paper Award Candidate🏆 (Top 0.2%).
  • [08/2023] One paper is accepted by European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI).
  • [06/2023] Two papers are accepted by MICCAI 2023.
  • [09/2022] We are Runner-up🏆 at MICCAI 2022 HECKTOR Challenge.
  • [07/2022] One paper is accepted by NeuroImage.
  • [06/2022] Two papers are accepted by MICCAI 2022 and IEEE Journal of Biomedical and Health Informatics (JBHI).