Vision and Graphics; Artificial Intelligence
Image/video understanding; Large models; Multi-modal AI; Computational imaging; Generative AI
Jiaya Jia is a Chair Professor of Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). He joined CUHK in 2004 as an assistant professor and was promoted to full professor in 2015. He moved to HKUST in 2024. He obtained his PhD degree in Computer Science jointly from HKUST and Microsoft Research in 2004. From March 2003 to August 2004, he was a visiting scholar at Microsoft. He conducted collaborative research at Adobe Research in 2007.
Jiaya Jia is an IEEE Fellow. His research focuses on advanced development of computer vision and deep learning technologies, including image/video understanding, large models, multi-modal AI, computational imaging, and generative AI. His papers were cited 70,000+ times on Google Scholar with H-index 100+ His papers received SIGGRAPH Asia Test-of-Time Award 2023, CVPR Best Paper Finalist 2022, and NPAR Best Paper Award 2012. He has been among the world's top 2% most-cited scientists by Stanford University for several years. 40+ PhDs and scholars from this group are now active in academia and industry, and have become AI tech leaders as professors, directors in research labs, and founders of several successful startups.
Data Science and AI (DSAI); Control and Robotic Systems (CRS)
Computer graphics; Computer vision; Robotics
Dr. Tan is a professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST, he served as the director of the XR Lab at Alibaba DAMO Academy from 2019 to 2022, an associate professor at Simon Fraser University (SFU) in Canada from 2014 to 2019, and an assistant and associate professor at the National University of Singapore (NUS) from 2007 to 2014.
Dr. Tan received his PhD from HKUST in 2007 and his Master's and Bachelor's degrees from Shanghai Jiao Tong University (SJTU) in 2003 and 2000, respectively. He specializes in computer vision, computer graphics, and robotics, with a research focus on 3D vision.
Vision and Graphics; Artificial Intelligence
Medical image analysis; Artificial intelligence; Machine learning; Computer vision
Dr. Hao Chen is an Assistant Professor at the Department of Computer Science and Engineering (CSE), the Hong Kong University of Science and Technology (HKUST). He leads the SMART Lab focusing on trustworthy artificial intelligence for healthcare and serves as Associate Director in Center of Medical Imaging and Analysis. He obtained the Hong Kong PhD Fellowship in 2013 and received the PhD degree from The Chinese University of Hong Kong (CUHK) in 2017. He was a postdoctoral research fellow in CUHK and a visiting scholar in Utrecht University Medical Center previously.
His research interests include medical image analysis, artificial intelligence, machine learning, computer vision and bioinformatics. He has over 100 peer-reviewed publications (Google Scholar Citations 16,500+, h-index 57) in MICCAI, IEEE-TMI, MIA, CVPR, AAAI, Radiology, Lancet Digital Health, Nature Machine Intelligence, JAMA, etc. He received several premium awards including the MICCAI Young Scientist Impact Award in 2019 and a number of best paper awards. He also has rich industrial research experience and holds a dozen of patents. He serves as an Associate Editor of multiple journals including IEEE Transactions on Neural Networks and Learning Systems, Journal of Biomedical and Health Informatics, Neurocomputing, Computerized Medical Imaging and Graphics, Medical Physics, etc. He also served as a program committee (PC) member of multiple international conferences including Area Chair of MICCAI 2021 & 2022, ISBI 2022, MIDL 2022 and Senior PC of AAAI 2022, etc. During the past few years, he led his team winning 15+ medical grand challenges.
