Information Visualization
Information Visualization
Information visualization (InfoVis) uses visual elements to represent abstract data. It communicates information with people by making use of human vision, which is recognized as having the widest bandwidth of all senses. The goal of InfoVis is to seamlessly integrate the visual representations and explorative interfaces together, aiming to provide users with an informative, convenient, and pleasant data exploring and communicating environment.
Our research in information visualization focuses on structured data visualization and query-driven interaction. Graphs and trees are the most classic types of structures. We study the visual representation and the layout algorithms of these structures to fulfill the desired visual properties. As interactive query becomes an indispensable means for data analysi, we study the visual operations that can assist the user to glean insight into the data.
Publications on Information Visualization
Data Projection for High Dimensional Data
Boonthanome Nouanesengsy, Sang-Cheol Seok, Han-Wei Shen, and Veronica Vieland. Using projection and 2D plots to visually reveal genetic mechanisms of complex human disorders. In VAST '09: Proceedings of IEEE Symposium on Visual Analytics Science and Technology 2009, pages 171-178, 2009.
Bridging infoVis and SciVis
Chaoli Wang and Han-Wei Shen. LOD map: A visual interface for navigating multiresolution volume visualization. IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visualization / Information Visualization 2006), 12(5):1029-1036, 2006.
User Interface for LOD Selection
Chaoli Wang and Han-Wei Shen. Hierarchical navigation interface: Leveraging multiple coordinated views for level-of-detail multiresolution volume rendering of large scientific data sets. In Proceedings of the Ninth International Conference on Information Visualisation, volume 00, pages 259-267. IEEE Computer Society Washington, DC, USA, 2005.