Thumbnail

Wenhan
LUO
羅 文 寒

PhD in Computer Science
Associate Professor
Division of Arts and Machine Creativity
Division of Emerging Interdisciplinary Areas
Room SA218
(852) 3469 2953
Google Scholar Citation
Personal Homepage
Research Area
Data Science and AI (DSAI)
Research Interests
Creative AI
Generative models
Image and video generation
Content restoration
Computer vision
Profile
Profile

Prof. Luo is currently Associate Professor with the Hong Kong University of Science and Technology (HKUST). Previously, he worked as an Associate Professor at Sun Yat-sen University, and an applied research scientist at Tencent, solving real-world problems using computer vision and machine learning techniques. Prior to Tencent, he worked for Amazon in Palo Alto, California, where he developed deep models for better visual search experience. Before that, Prof. Luo worked as a research scientist in Tencent AI Lab. The techniques he has developed/involved have been shipped to several products in Tencent such as WeChat, QQ, Tencent Video, Tencent Yuanbao, Tencent Cloud, and myapp.
 
Prof. Luo received the Ph.D. degree from Imperial College London, UK, 2016, under the supervision of Prof. Tae-Kyun Kim, and working closely with Dr. Bjorn Stenger, M.E. degree from Institute of Automation, Chinese Academy of Sciences, China, 2012, under the supervision of Prof. Weiming Hu, and B.E. degree from Huazhong University of Science and Technology, China, 2009.
 
Prof. Luo has published over 90 peer-reviewed papers in top-tier conferences and journals, like ICML, NeurIPS, CVPR, ICCV, ECCV, SIGGRAPH, AAAI, ACL, ACMMM, ICLR, TPAMI, AI, IJCV. His work is selected into the CVPR 2019 Best Paper Finalist and he was awarded the 2022 ACM China Rising Star Award (Guangzhou Chapter). He has served as Associate Editor for IEEE Transactions on Image Processing, Neurocomputing, IET Computer Vision, Guest Editor for CVIU, Area Chair for NeurIPS 2025, ACM MM 2025, ICML 2025, IJCAI 2025, IJCNN 2025, BMVC 2024, and Senior Program Committee member for AAAI and IJCAI, regular reviewer for top conferences and journals like TPAMI, IJCV, CVPR, ICML, ICCV. He has been elected among Top 2% Scientists worldwide (2023 & 2024) by Stanford/Elsevier.