Zhang, Kang
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Kang Zhang has a dual appointment in the Erik Jonsson School of Engineering and the School of Arts and Humanities, where he holds professorships in Computer Science and Arts and Technology. He serves as well as the Director of UTD's Visual Computing Lab. His research interests include:
- Generation of abstract style of images,
- Visualizing hierarchical structures,
- Visualization of social networks, and
- Information visualization.
Works in Treasures @ UT Dallas are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).
Recent Submissions
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Transforming Entity-Relationship Diagrams to Relational Schemas Using a Graph Grammar Formalism
(Institute of Electrical and Electronics Engineers Inc., 2018-12)As a formal tool extended from string grammars, graph grammars provide an intuitive yet formal way to define and transform various visual languages. This paper proposes an approach to transform Entity-Relationship diagrams ... -
Transformation of Portraits to Picasso’s Cubism Style
(Springer Verlag, 2019-05-07)This paper presents an approach to the transformation of portrait photographs to Picasso’s cubism style using deep learning and image processing techniques. We obtain the side-view face by rotating the face model constructed ... -
The Influence of Edge Bundling on Visual Information Search
(Elsevier Inc., 2019-05-04)Millions of nodes and edges in a node-link diagram representing the network structure of big data may clutter the space, reducing the aesthetic quality and hindering the process of information search. Edge bundling offers ... -
A Human-As-Sensors Approach to API Documentation Integration and its Effects on Novice Programmers
In recent years, there has been a great interest in integrating crowdsourced API documents that are often dispersed across multiple places. Because of the complexity of natural language, however, automatically synthesized ... -
Visualizing Large Graphs by Layering and Bundling Graph Edges
Edge bundling has been widely used to reduce visual clutter and reveal high-level edge patterns for large graphs. Due to strong edge attraction, bundled results often show unnecessary curvature and tangling at bundle ... -
Visualvital: An Observation Model for Multiple Sections of Scenes
A computational methodology for reorienting, repositioning, and merging camera positions within a region under surveillance is proposed, so as to optimally cover all features of interest without overburdening human or ... -
Visual Exploration of 3d Geospatial Networks in a Virtual Reality Environment
Classic geospatial network visualization tends to limit itself to 2D representation by organizing edges and nodes on a 2D map or the external surface of a traditional 3D globe model. Visual clutters and occlusions due to ... -
COPE: Interactive Exploration of Co-Occurrence Patterns in Spatial Time Series
Spatial time series is a common type of data dealt with in many domains, such as economic statistics and environmental science. There have been many studies focusing on finding and analyzing various kinds of events in time ... -
Visualized Awareness Support for Collaborative Software Development on Mobile Devices
To foster innovation and competition, an increasing number of software teams are becoming distributed. Such a distribution makes continuous collaboration and continuous awareness support a necessity and also a great ...
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