Dr. Weiming Wang is currently an Assistant Professor at the School of Science and Technology, Hong Kong Metropolitan University. He earned his Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong and his Bachelor of Engineering from Huazhong University of Science and Technology. His research interests include image processing, point cloud processing, and natural language processing. Dr. Wang has published approximately 60 research papers in refereed journals and conferences, including IEEE TMM/TCSVT/TGRS/TIM/TITS, ACM TIST, ICCV, ACM MM, etc. He has led more than 10 research grants, with a total funding amounting to approximately 6 million HKD. In addition to his research and teaching responsibilities, Dr. Wang serves as an Associate Editor for The Visual Computer and is a member of the Editorial Board and Program Committees for several international journals and conferences, such as Computers and Education: X Reality, Frontiers in Mechanical Engineering, ACM SIGGRAPH VRCAI, ACM MobiCom, and Computer Graphics International.

• Image Processing
• Point Cloud Processing
• Natural Language Processing

BEng (Hons) [HUST], PhD [CUHK]

External Grants

• PI, "A Unified Multi-modal Framework for Open-vocabulary 3D Object Detection and Multi-object Tracking", RGC FDS (UGC/FDS16/E03/24), 2025.01-2027.12.
• PI, "Automatic and Accurate Evaluation of Placental Abnormalities via Multi-modal, Multi-task and Federated Semi-supervised Learning", RGC FDS (UGC/FDS16/E02/23), 2024.01-2026.12.
• PI, "A Generic Label Extension and Enhancement Framework: from Emotion Domain to General Domain", RGC FDS (UGC/FDS16/E10/23), 2024.01-2026.12.
• PI, "Accurate 6D Object Pose Estimation for Automatic Robotic Manipulation in Complex Industrial Environments", RGC FDS (UGC/FDS16/E14/21), 2022.01-2024.06.
• PI, "Research on key technologies of high realistic simulation training system for dental surgery based on haptic-visual fusion", National Natural Science Foundation of China (61802072), 2019.01-2021.12.
• PI, "Research on key technologies for automatic analysis and measurement of carotid arteries from 3D ultrasound images", Natural Science Foundation of Guangdong (2014A030310381), 2014.10-2017.10.