- Assistant Professor
- Department of Information Engineering
- The Chinese University of Hong Kong
Dahua Lin is an Assistant Professor at the department of Information Engineering, the Chinese University of Hong Kong. He received the B.Eng. degree from the University of Science and Technology of China (USTC) in 2004, the M. Phil. degree from the Chinese University of Hong Kong (CUHK) in 2006, and the Ph.D. degree from Massachusetts Institute of Technology (MIT) in 2012. Prior to joining CUHK, he served as a Research Assistant Professor at Toyota Technological Institute at Chicago, from 2012 to 2014.
Professor Lin's research interest covers computer vision and machine learning. In recent years, he primarily focused on deep learning and its applications on high-level visual understanding, probabilistic inference, and big data analytics. He has published over 70 papers on top conferences and journals, e.g. ICCV, CVPR, ECCV, NIPS, and T-PAMI. His seminal work on a new construction of Bayesian nonparametric models has won the best student paper award in NIPS, the most prestigious conference on machine learning, in year 2010. He also received the outstanding reviewer award in ICCV 2009 and ICCV 2011. He has supervised or co-supervised the CUHK team in international competitions and won multiple awards in ImageNet 2016, ActivityNet 2016, and ActivityNet 2017.
Professor Lin serves on the editorial board of the International Journel of Computer Vision (IJCV). He also serves as an area chair for multiple conferences, including ECCV 2018, ACM Multimedia 2018, BMVC 2018, and CVPR 2019.
- Deep learning technologies in large-scale applications
- High level visual understanding in connection with linguistic analysis
- Efficient modeling and analytics of videos and movies
- The use of deep networks in general probabilistic inference