Jingtao Wang

Graduate Student
Computer Science

Advisor: John Canny

Research Interests

Jingtao's research interests include Human-Computer Interaction and Applied Machine Learning. He is particularly interested in researching novel interaction techniques and on-line handwriting recognition algorithms.

Projects

• End-User Generated Location-Aware Applications on Mobile Platforms
  
• TinyMotion : Camera Phone Based Motion Sensing
  
• FingerSense : Augmenting Expressiveness of Physical Button by Fingertip Identification
  
• LiveNotes : Small-group Cooperative Learning in Large Classroom environments
  
• Toolkit Support for Universal Input Device Translation
  

Publications

1. Jingtao Wang, Shumin Zhai, John Canny, Camera Phone Based Motion Sensing: Interaction Techniques, Applications and Performance Study, In ACM UIST 2006, Montreux, Switzerland, October 15-18, 2006.
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2. Jingtao Wang, John Canny, End-User Place Annotation on Mobile Devices : A Comparative Study, In Work-in-Progress of ACM CHI 2006, Montreal, Canada, April 24-27, 2006.
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3. Jingtao Wang, John Canny, TinyMotion: Camera Phone Based Interaction Methods, In alt.chi of ACM CHI 2006, Montreal, Canada, April 24-27, 2006.
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4. Yitao Duan, Jingtao Wang, Matthew Kam, John Canny, Privacy Preserving Link Analysis on Dynamic Weighted Graph, Journal of Computational & Mathematical Organization Theory, 11, pp141 - 159, Springer Science + Business Media Inc, 2005.
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5. Yitao Duan, Jingtao Wang, Matthew Kam, John Canny, A Secure Online Algorithm for Link Analysis on Weighted Graph, SIAM International Conference on Data Mining, Newport Beach, California, 21-23 April 2005.
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6. Matthew Kam, Jingtao Wang, Alastair Iles et al, Livenotes: A System for Cooperative and Augmented Note-Taking in Lectures, ACM CHI 2005, Portland, Oregon, April 2-7, 2005.
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7. Jingtao Wang, John Canny, FingerSense - Augmenting Expressiveness of Physical Button by Fingertip Identification, Short Paper in ACM CHI 2004, Vienna, Austria, April 24-29, 2004.
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8. Jingtao Wang, Jennifer Mankoff, Theoretical and Architectural Support for Input Device Adaptation, ACM Conference on Universal Usability: CUU 2003. Vancouver, B.C., November 10-11, 2003.
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9. Jingtao Wang, Shumin Zhai, Hui Su, Chinese Input with Keyboard and Eye Tracking - An Anatomical Study, ACM CHI 2001, Seattle, March 31- April 5, 2001, p349-356.
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