|Office:||5423 Sennott Square|
Dr. Jingtao Wang joined the Department of Computer Science in the fall of 2010. He received his Ph.D. degree in Computer Science from the University of California at Berkeley in 2010. He also received his M.S. in Computer Engineering and B.S. in Electrical and Computer Engineering from Xi'an Jiaotong University in 1999 and 1996, respectively.
He was a researcher at IBM China Research Lab from 1999 to 2002, working on large vocabulary, multilingual online handwriting recognition technology for East Asian languages.
His primary research direction is human computer interaction, with interests in mobile interfaces, ubiquitous computing, education technology, and applications of machine learning in user interfaces.
Five Most Recent Publications
X. Xiao and J. Wang, "Towards Attentive, Bi-directional MOOC Learning on Mobile Devices Augmenting," ACM International Conference on Multimodal Interaction (ICMI 2015), pp. 163-170, Seattle, WA, Nov 2015, Best Paper Nomination .
P. Pham and J. Wang, "AttentiveLearner: Improving Mobile MOOC Learning via Implicit Heart Rate Tracking," 17th International Conference on Artificial Intelligence in Education (AIED 2015), pp. 367-376, Madrid, Spain, June 2015.
T. Han, X. Xiao, L. Shi, J. Canny and J. Wang, "Balancing Accuracy and Fun: Designing Engaging Camera Based Mobile Games for Implicit Heart Rate Monitoring," ACM Conference on Human Factors in Computing Systems (CHI 2015), pp. 847-856, Seoul, Korea, April 2015.
X. Fan and J. Wang, "BayesHeart: A Probabilistic Approach for Robust, Low-Latency Heart Rate Monitoring on Camera Phones," 20th ACM Conference on Intelligent User Interfaces (IUI 2015), pp. 405-416, Atlanta, GA, March 2015.
X. Fan, Y. Liu, N. Cao, J. Hong and J. Wang, "MindMiner: A Mixed-Initiative Interface for Interactive Distance Metric Learning," 15th IFIP International Conference on Human-Computer Interaction (INTERACT 2015), pp. 611-628, Bamberg, Germany, September 2015.
- Human computer interaction (HCI)
- Mobile interfaces
- Applications of machine learning in user interfaces
- HCI in education