Zeqian Shen Ph.D. Candidate Department of Computer Science University of California, Davis

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Research

Visual Exploration of Mobile Data

Zeqian Shen and Kwan-Liu Ma, MobiVis: A Visualization System for Exploring Mobile Data. Accepted to IEEE PacificVis 2008. The widespread use of mobile devices brings opportunities to capture large-scale, continuous information about human behavior. Mobile data has tremendous value, leading to business opportunities, market strategies, security concerns, etc. We have created MobiVis, a visual analytics tool to address the challenges of analyzing the complex social-spatial-temporal mobile data.

Path Visualization for Adjacency Matrices

Zeqian Shen and Kwan-Liu Ma, Path Visualization for Adjacency Matrices. in Proc. of EuroVis 2007, pp.83-90. PDF Adjacency matrices offer a very compact representation of graphs. For dense graphs, it outperforms traditional node-link diagrams on most graph analysis tasks except path-finding. We introduce a novel method for visualizing paths in adjacency matrices. Techniques that visualize multiple paths between two vertices like metro maps are introduced.

Visual Anlaysis of Complex Networks Using Ontology

Zeqian Shen, Kwan-Liu Ma, Tina Eliassi-Rad, Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction. IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 6, pp. 1427-1439, Nov/Dec, 2006. PDF Video (.mov, 75MB) We developed a visual analytics tool, OntoVis, for understanding large, heterogeneous social networks, in which nodes and links could represent different concepts and relations, respectively. OntoVis is named such because it uses ontology information of the social network in the analysis to semantically prune a large, heterogeneous network.

Bibliography Visualization

Zeqian Shen, Michael Ogawa, Soon Tee Teoh, Kwan-Liu Ma, BiblioViz: A System for Visualizing Bibliography Information. Proc. of the Asia Pacific Symposium on Information Visualization (APVIS '06), 2006. PDF Video (Mpeg2, 75MB) The InfoVis 2004 contest led to the development of several bibliography visualization systems. Even though each of these systems offers some unique views of the bibliography data, there is no single best system offering all the desired views. We have thus studied how to consolidate the desirable functionalities of these systems into a cohesive design. We have also designed a few novel visualization methods. This paper presents our findings and creation: BiblioViz, a bibliography visualization system that gives the maximum number of views of the data using a minimum number of visualization constructs in a unified fashion.

Large Graph Visualization

Zeqian Shen and Kwan-Liu Ma, An Efficient Hierarchy for Interactive Visualization of Large Graphs. Technical Report, 2006 For large graphs with thounsands to millions of nodes, the sheer number of nodes and links makes drawing the entire network computationally infeasible. It also results in a mismatch between the density of information and screen resolution available. We used interactive multiscale visualization to reduce visualc complexity. An efficient hierarchical structure is introduced to support real-time access to levels of details. To reduce the time for computing layout, multilevel layout methods utilizing the hierarchy is also proposed.

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Links

• Visual Complexity
• Information Aesthetics
• DBLP
• CiteSeer
• Google Scholar
• CiteULike
• WxWidgets
• OLIVE