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
[16] Nan Meng, Jason P. Y. Cheung, Kwan-Yee K. Wong, Socrates Dokos, Sofia Li, Richard W. Choy, Samuel To, Ricardo J. Li, and Teng Zhang. “An Artificial Intelligence Powered Platform for Auto-Analyses of Spine Alignment Irrespective of Image Quality with Prospective Validation.” eClinicalMedicine, 2022.
Impact Factor (InCites): 12.8; Ranking: 10 out of 336 in the field (Medicine, General & Internal)
Authorship: First authorv; Journal Citation Reports rank: Q1; Citations: 41.
[17] Nan Meng, Kai Li, Jianzhuang Liu, and Edmund Y. Lam. “Light Field View Synthesis via Aperture Disparity and Warping Confidence Map.” IEEE Transactions on Image Processing, 2021.
Impact Factor (InCites): 15.3; Ranking: 10 out of 210 in the field (Engineering, Electrical & Electronic)
Authorship: First author; Journal Citation Reports rank: Q1; Citations: 42.
[18] 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. 2021.
Impact Factor (InCites): 20.4; Ranking: 4 out of 369 in the field (Engineering, Electrical & Electronic)
Authorship: First author; Journal Citation Reports rank: Q1; Citations: 179.
[19] Zhou Ge, Nan Meng, Li Song, and Edmund Y. Lam. “Dynamic Laser Speckle Analysis Using the Event Sensor.” Applied Optic, 2020.
Impact Factor (InCites): 1.7; Ranking: 86 out of 129 in the field (Computer Sci., Artificial Intelligence)
Authorship: Co-author; Journal Citation Reports rank: Q3; Citations: 36.
[20] Nan Meng, Zhou Ge, Tianjiao Zeng, and Edmund Y. Lam. “LightGAN: A Deep Generative Model for Light Field Reconstruction.” IEEE Access, 2020.
Impact Factor (InCites): 4.2; Ranking: 53 out of 127 in the field (Telecommunications)
Authorship: First author; Journal Citation Reports rank: Q2; Citations: 27.
Conference Papers / Proceedings
[16] Xing Sun, Zhimin Xu, Nan Meng, Edmund Y. Lam, and Hayden K.-H. So. “Data-Driven Light Field Depth Estimation Using Deep Convolutional Neural Networks.” 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!