|Title:||Deep Learning Models for Healthcare Applications|
|Date:||July 26, 2017 (Wednesday)|
|Time:||4:30 p.m. - 5:30 p.m.|
|Venue:||Room 121, 1/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong,
|Speaker:||Prof. Jimeng SUN
School of Computational Science and Engineering
College of Computing
Georgia Institute of Technology
It is widely believed that deep learning techniques could fundamentally change healthcare industries. Even though recent development in deep learning has achieved successes in many other applications, such as computer vision, natural language processing, and speech recognition. However, healthcare applications pose many significantly different challenges to existing deep learning models. Examples include but not limited to interpretations for prediction, heterogeneity in data, rare events.
I will discuss a series of problems in healthcare that can benefit from deep learning models, the challenges as well as recent advances in addressing those.Topics:
Jimeng Sun, Georgia Institute of Technology (firstname.lastname@example.org), Dr. Sun is an associate professor of College of Computing at Georgia Tech. Prior to Georgia Tech, he was a researcher at IBM TJ Watson Research Center. His research focuses on health analytics and data mining, especially in designing tensor factorizations, deep learning methods, and large-scale predictive modeling systems. He published over 120 papers and filed over 20 patents (5 granted) with over 8000 citations. He has received SDM/IBM early career research award 2017, ICDM best research paper award in 2008, SDM best research paper award in 2007, and KDD Dissertation runner-up award in 2008. Dr. Sun received B.S. and M.Phil. in Computer Science from Hong Kong University of Science and Technology in 2002 and 2003, M.Sc and PhD in Computer Science from Carnegie Mellon University in 2006 and 2007.
Enquiries: Ms Ricola Lo at tel 3943 8439
For more information, please refer to http://www.cse.cuhk.edu.hk/seminar.