K
Kang Zhang
Researcher at University of Texas at Dallas
Publications - 278
Citations - 2708
Kang Zhang is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Visualization & Graph (abstract data type). The author has an hindex of 24, co-authored 277 publications receiving 2459 citations. Previous affiliations of Kang Zhang include United International College & Southeast University.
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A context-sensitive graph grammar formalism for the specification of visual languages
TL;DR: A context-sensitive graph grammar called reserved graph grammar is presented, which can explicitly and completely describe the syntax of a wide range of diagrams using labeled graphs and has polynomial time complexity in most cases.
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SentiView: Sentiment Analysis and Visualization for Internet Popular Topics
TL;DR: SentiView, an interactive visualization system that aims to analyze public sentiments for popular topics on the Internet, combines uncertainty modeling and model-driven adjustment and is able to compare the time-varying features for sentiment-driven forums on both simulated and real data.
Journal ArticleDOI
Spatial graph grammars for graphical user interfaces
Jun Kong,Kang Zhang,Xiaoqin Zeng +2 more
TL;DR: A new graph grammar formalism which integrates both the spatial and structural specification mechanisms in a single framework is proposed, equipped with a parser that performs in polynomial time with an improved parsing complexity over its nonspatial predecessor, that is, the Reserved Graph Grammar.
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Design, construction, and application of a generic visual language generation environment
TL;DR: The design, construction and application of a generic visual language generation environment, called VisPro, which improves the conventional model-view-controller framework in that its functional modules are decoupled to allow independent development and integration.
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Multimedia layout adaptation through grammatical specifications
TL;DR: A visual language approach to the layout adaptation of multimedia objects and the issues and techniques for size adaptation and style adaptation in response to the change of device requirements and user interactions are presented.