Title of the report ：Effective and Trustworthy Visualization
Reporter：Dr.Yingcai Wu
Time：25-4-2012 15:00pm
Place：Room 402, State Key Laboratory of CAD & CG, Library and Information Center Building B, Zhejiang University Zijin’gang Campus
Abstract: Visualization is a very powerful tool for physicians, scientists, engineers, and other people to gain insight into their data using interactive computer graphics and imaging techniques. Although some successes have been made, it is still an important and challenging problem to create an effective and trustworthy visualization. In this talk, I will present two of my representative works in scientific visualization and information visualization. The first work is a novel approach for enhancing the effectiveness of direct volume rendered images from the perspective of human perception. It uses a suite of new measures based on well-established psychological principles to evaluate the perceptual quality of transparent structures in the rendered images. The second work is a comprehensive visual analytics system, OpinionSeer, to facilitate visual analysis of a large collection of online customer reviews. It employs a set of uncertainty visualization techniques to faithfully model and analyze customer opinions to ensure the trustworthiness of the results.
About the speaker:Yingcai Wu is an active researcher and has published more than 30 refereed papers in the fields of information visualization, visual analytics, medical volume visualization, and user interface design. He received his PhD degree in computer science from the Hong Kong University of Science and Technology (HKUST) in 2009. Dr. Wu was a postdoctoral researcher at the Visualization research group in HKUST from January to May 2010, and at the Visualization and interface Design Innovation (VIDi) research group in the University of California, Davis from June 2010 to March 2012. He will join the Internet Graphics group of Microsoft Research Asia from May 2012. For more information, please see
http://vis.cs.ucdavis.edu/~wu/