Scholar
Mingyuan Meng
Google Scholar ID: jBaR6EAAAAAJ
The University of Sydney; Shanghai Jiao Tong University
Citations & Impact
Citations
651
H-index
16
i10-index
18
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- One paper accepted by IEEE Transactions on Multimedia (TMM) in 2025; First-placed Winner at MICCAI 2025 HECKTOR Challenge; Long Oral Presentation at MICCAI 2025 Doctoral Consortium (Top 8 Finalist); Outstanding PhD Thesis Award at the University of Sydney (Top 2 at the School of Computer Science) in 2025; One paper accepted by ICCV 2025; One paper accepted by IEEE Transactions on Medical Imaging (TMI) in 2025; One paper accepted by Pattern Recognition (PR) in 2024; One paper accepted by npj Precision Oncology in 2024; Two papers accepted by MICCAI 2024; Paper titled 'Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration' accepted by CVPR 2024 and nominated as Best Paper Award Candidate (Top 24); One paper accepted by European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI) in 2023; Two papers accepted by MICCAI 2023; Runner-up at MICCAI 2022 HECKTOR Challenge; One paper accepted by NeuroImage in 2022; Two papers accepted by MICCAI 2022 and IEEE Journal of Biomedical and Health Informatics (JBHI) in 2022.
Research Experience
- Postdoctoral Researcher at the School of Computer Science, the University of Sydney; Visiting Scholar at the Institute of Translational Medicine, Shanghai Jiao Tong University; Research projects involve medical image registration, segmentation, and reconstruction, as well as multi-modal image-based survival prediction and report generation.
Education
- Received a BE degree from Tsinghua University in 2018; MPhil/PhD degrees from the University of Sydney in 2021/2025, supervised by Prof. Jinman Kim and Prof. David Dagan Feng; Visiting Scholar at Shanghai Jiao Tong University, supervised by Prof. Lei Bi.
Background
- Research Interests: Deep learning for medical image analysis, especially in medical image dense prediction and image-based diagnosis/prognosis. Professional Field: Computer Science. Biography: Dr. Mingyuan Meng is a Postdoctoral Researcher at the School of Computer Science, the University of Sydney, and also serves as a Visiting Scholar at the Institute of Translational Medicine, Shanghai Jiao Tong University.
Miscellany
- Actively looking for tenure-track academic positions; Please feel free to contact him for any job opportunities or research collaborations.
Co-authors