Room 701, No. 3 Sassoon Rd, Hong Kong SAR, China
Department of Orthopaedics and Traumatology, HKUMed
Nan Meng
Research Assistant Professor
Department of Orthopaedics and Traumatology
Li Ka Shing Faculty of Medicine
The University of Hong Kong.
Nan Meng received his Ph.D. degree in 2020 in Electric and Electronic Engineering from The University of Hong Kong. At HKU, he conducted research for image-based cancer diagnosis and released the first large-scale dataset for human somatic bright-field cells. He also conducted research for Light Field Reconstruction in the Imaging Systems Laboratory, supervised by Prof. Edmund Y. Lam. During his PhD, he consulted for an AI company in the areas of multi-view imaging systems and HKU Medicine School about medical image processing and analysis. After graduation, Dr. Meng joined the Digital Health Laboratory in HKU as a postdoc for over 2 years to conduct research in intelligent orthopaedics. At present, he is a research assistant pro-fessor.
His research interests include computational optics and imag-ing, from algorithms to applications and medical image analysis. His research direction includes light-field reconstruction, view synthesis, depth estimation and medical imaging.
Interdisciplinary researcher in AI for medical science, computational optics, and intelligent orthopaedics, focusing on multimodal spine data infrastructure and AI-assisted full-pathway spine care. He led the construction of a large-scale multimodal spine surgery database, a multiview surgery navigation system, and a lightfield-based spine alignment analysis system. He has published 38 papers, including 16 as first or corresponding author, in venues such as IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), IEEE Transactions on Image Processing (IEEE TIP), the AAAI Conference on Artificial Intelligence (AAAI), eClinicalMedicine, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), and the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), with 850+ Google Scholar citations. His work has resulted in 2 medical devices/platforms, 1 international invention award, 5 patent applications, and approximately HKD 2 million in Hong Kong and national research funding. He also serves as a reviewer for leading AI and biomedical engineering journals, an IEEE EMBS Student Mentor, Guest Lecturer at The Hong Kong Polytechnic University, Associate Editor for IEEE JBHI, and Early Career Editorial Board Member and Guest Editor for Bioengineering
Projects
Medical Multi-View Stereo
Medical Light Field (MLF) aims to provide doctors with a new level of insight into the human body, aiding in the diagnosis and treatment of numerous medical conditions. For surgery, it provides surgeons with a more comprehensive view of the surgical site, allowing for more precise and efficient procedures.
Publication
Select Publication
Clinical
Computer Science
Bioinformatics
[J] Meng, Nan and Cheung, Jason Pui Yin and Wong, Kwan-Yee Kenneth Wong and Dokos, Socrates and Li, Sofia Pik Hung and Choy, Richard W. and To, Samuel Ching Hang and Li, Ricardo J. and Zhang, Teng, "An Artificial Intelligence Powered Platform for Auto-Analyses of Spine Alignment Irrespective of Image Quality with Prospective Validation", Lancet: eClinicalMedicine, January 2022. (IF: 15.1) ▇
DOI: 10.1016/j.eclinm.2021.101252
[J] Nan Meng, Hayden K.-H. So, Xing Sun, and Edmund Y. Lam, “High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 3, pp. 873-886, March 2020. (IF: 24.314) ▇
DOI: 10.1109/TPAMI.2019.2945027
Original Research / Review Papers
[11] Shansi Zhang, Nan Meng, and Edmund Y. Lam. “LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images.” IEEE Transactions on Image Processing, 2023.
Impact Factor (InCites): 15.3; Ranking: 8 out of 369 in the field (Engineering, Electrical & Electronic)
Authorship: Co-author; Journal Citation Reports rank: Q1; Citations: 64.
[12] Shansi Zhang, Nan Meng, and Edmund Y. Lam. “Unsupervised Light Field Depth Estimation via Multi-View Feature Matching with Occlusion Prediction.” IEEE Transactions on Circuits and Systems for Video Technology, 2023.
Impact Factor (InCites): 10.8; Ranking: 13 out of 369 in the field (Engineering, Electrical & Electronic)
Authorship: Co-author; Journal Citation Reports rank: Q1; Citations: 27.
[13] Samantha H. T. Wan, David L. L. Wong, Samuel C. H. To, Nan Meng, Teng Zhang, and Jason P. Y. Cheung. “Patient and Surgical Predictors of 3D Correction in Posterior Spinal Fusion: A Systematic Review.” European Spine Journal, 2023.
Impact Factor (InCites): 3.2; Ranking: 30 out of 147 in the field (Orthopaedics)
Authorship: Co-author; Journal Citation Reports rank: Q2; Citations: 14.
[14] Nan Meng, Kwan-Yee K. Wong, Moxin Zhao, Jason P. Y. Cheung, and Teng Zhang. “Radiograph-Comparable Image Synthesis for Spine Alignment Analysis Using Deep Learning with Prospective Clinical Validation.” eClinicalMedicine, 2023.
Impact Factor (InCites): 12.8; Ranking: 10 out of 336 in the field (Medicine, General & Internal)
Authorship: First author; Journal Citation Reports rank: XX; Citations: 24.
[15] Moxin Zhao, Nan Meng, Jason Pui Yin Cheung, Chenxi Yu, Pengyu Lu, and Teng Zhang. “SpineHRformer: A Transformer-Based Deep Learning Model for Automatic Spine Deformity Assessment with Prospective Validation.” Bioengineering, 2023.
Impact Factor (InCites): 4.4; Ranking: 51 out of 124 in the field (Engineering, Biomedical)
Authorship: Co-author; Journal Citation Reports rank: Q2; Citations: 24.
Conference Papers / Proceedings
[11] Nan Meng, Xiaofei Wu, Jianzhuang Liu, and Edmund Y. Lam. “High-Order Residual Network for Light Field Super-Resolution.” AAAI Conference on Artificial Intelligence, 2020.
[12] Nan Meng, Tianjiao Zeng, and Edmund Y. Lam. “Spatial and Angular Reconstruction of Light Field Based on Deep Generative Networks.” IEEE International Conference on Image Processing, 2019.
[13] Nan Meng, Tianjiao Zeng, and Edmund Y. Lam. “Perceptual Loss for Light Field Reconstruction in High-Dimensional Convolutional Neural Networks.” Computational Optical Sensing and Imaging, 2019.
[14] Nan Meng, Hayden K.-H. So, and Edmund Y. Lam. “Computational Single-Cell Classification Using Deep Learning on Bright-Field and Phase Images.” International Conference on Machine Vision Applications, 2017.
[15] Xing Sun, Nan Meng, Zhimin Xu, Edmund Y. Lam, and Hayden K.-H. So. “Sparse Hierarchical Nonparametric Bayesian Learning for Light Field Representation and Denoising.” International Joint Conference on Neural Networks, 2016.
Professional Service
Biomedical, Medical, Clinical
IEEE JBHI (2019-2024), IEEE TMI (2021), IEEE TMRB (2025), PLOS ONE (2023-2024), Scientific Report (2023-2025),
The Bone & Joint Journal (2025)
ISBI (2023-2024), EMBC (2023-2024), Big Data Mining and Analytics (2025)
Lancet eClinicalMedicine (2024)
JMIR (2025)
Computer Vision
IEEE T-PAMI (2024-2025), IEEE TIP (2019-2024), IEEE TCI (2019-2025), IEEE TNNLS (2023), IEEE TMM (2023,2025), IEEE TCSVT (2023-2025), Pattern Recognition (2025)
IEEE Signal Processing Letters (2025)
ACM TOMM (2024-2025)
Robotics
IEEE/ASME Transactions on Mechatronics (2024)
Computer Graphics
Pacific Graphics (2023)
Optics
OSA JOSA A (2021), Optics and Lasers in Engineering (2024)
Others
Springer SIVP (2021-2023), Springer TVCJ (2023), Computers in Biology and Medicine (2024)
Fundings & Grants
External Competitive Grants
2027/01 -2029/12
General Research Fund (GRF), (No. 17202226)
2025/01 - 2026/12
International Science and Technology Innovation Cooperation / Hong Kong, Macao and Taiwan Science and Technology Innovation Cooperation Program (No. 2025YFHZ0236),
2025/01 - 2027/12
National Natural Science Foundation of China Young Scientists Fund, (No. 8240073987),
Others
2027/06 - 2028/05
Seed Fund for PI Research – Basic Research, (No. 2502251873),
2025/06 - 2027/06
Seed Fund for Basic Research, (No. 109002138),
2024/06 - 2026/05
Seed Fund for Basic Research for New Staff, (No. 103034011),
2024/06 - 2027/06
Seed Fund for Research Impact Fund (No. 2307102464),
2023/11 - 2025/10
Department Seed Fund, (No. 200011026),
2025/01 - 2026/12
Department Seed Fund, (No. 200011262),
Opportunities
Digital Health Laboratory (under O&T Dept, HKU) welcomes applications from high potential candidates with academic excellence, research ability and potential, and good communication, and interpersonal abilities for multiple research and engineering positions, including Research Assistant, Mphil, PhD and PostDoc Fellow. We are also looking for Algorithm Researchers, Algorithm Engineers, Data Scientists, and Technicians working in either Mainland (Beijing, Shenzhen) or Hong Kong.
If you have interest, please fill in the following information with your Résumé/CV (link) and apply. We will contact you!