Faculty

Institution

Unit

Venue

Kang Zhang

Professor

University of Texas at Dallas

Affiliations

Erik Jonsson School of Engineering and Computer Science

Computer Science

Electrical and Computer Engineering

Kang Zhang is currently serving as a Computer Science Professor at University of Texas At Dallas.

Honors

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Experiences

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Education

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Kang Zhang

University of Texas at Dallas

Professor

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computer science systems engineering visualization information visualization data science design machine learning computer vision natural language processing software engineering information technology aesthetics data mining human-computer interaction visual computing visual arts computational visualization software visualization visual analytics machine vision visual communication interactive visualization spatial graph grammars chinese ink paintings mobile computing web intelligence pattern discovery network visualizations comparative study visual complexity intention preservation graph transformation decision science visual science parallel programming world wide web knowledge discovery human-machine interaction automation in construction formal specification software architecture generative art mobile interface immersive technologies scientific visualization graph drawing grammatical specifications graph transformations visual information communication white space visual exploration decision trend analysis mandala thangka patterns continuous awareness building engineering system software programming languages cybernetics design automation semantic web usability engineering mobile learning building automation crowdsourcing system specification distributed computing earth observation generative design computational aesthetics design evaluation optical remote sensing model transformation visual design web service enhancement multimedia layout adaptation design patterns technology software engineering education visual programming visual programming language

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fractals. Chapman and Hall/CRC eBooks (2024)

Steven H. Strogatz

BIVERWORDLE: Visualizing Stock Market Sentiment With Financial Text Data and Trends. (2023)

Lei XiaYi-Ping GaoLe LinYu-Xi ChenKang Zhang

predictive analyticsvisual analyticsinformation visualizationvisual data miningtrend analysisfinancefinancial text datastock market sentimentvisualizationdata and information visualization

Everyone Can Be Picasso? a Computational Framework Into the Myth of Human Versus AI Painting. arXiv (Cornell University) (2023)

Ye, YilinHuang, RongZhang, KangZeng, Wei

humanitiesaestheticscomputer visionhuman-ai interactionartificial intelligencecomputational frameworkvisual artscomputational intelligenceneuroscienceart

A Comparative Study of Oil Paintings and Chinese Ink Paintings on Composition. The visual computer/The visual computer (2022)

Zhen-Bao FanYi-Xuan ZhuSlobodan MarkovićKang Zhang

comparative studyart historyaestheticschinese ink paintingsvisual artscognitive scienceneuroscience

Measuring and Evaluating the Visual Complexity of Chinese Ink Paintings. Computer journal (2021)

Zhen-Bao FanYi-Na LiKang ZhangJinhui YuMao Lin Huang

visual complexitydesignaestheticschinese ink paintingspattern presentationvisual artsimage analysisvisual perceptionneuroscienceart

The Computer-Based Generation of Fonts in the Style of Kandinsky. Leonardo (2021)

Kang ZhangJinhui Yu

aestheticscomputer-based generationdesign

Visual Complexity of Shapes: A Hierarchical Perceptual Learning Model. The visual computer/The visual computer (2021)

Lingchen DaiKang ZhangXianjun Sam ZhengRalph R. MartinYina LiJinhui Yu

visual complexitycognitive sciencevisual perceptionvisual processing

An End-To-End Model for Chinese Calligraphy Generation. Multimedia tools and applications (2020)

Peichi ZhouZipeng ZhaoKang ZhangChen LiChangbo Wang

end-to-end modelmodeling and simulationengineeringchinese calligraphy generation

Coordinate Graph Grammar for the Specification of Spatial Graphs. The Computer Journal (2020)

Yufeng LiuXiaoqin ZengKang ZhangYang Zou

graph theorycomputer sciencecoordinate graph grammar

Generating Layout Designs From High-Level Specifications. Automation in construction (2020)

Xiao-Yu WangKang Zhang

generative designengineeringdesignhigh-level specificationslayout designsautomation in constructionautomationdesign automation

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Kang Zhang

Professor

University of Texas at Dallas

Affiliations

Erik Jonsson School of Engineering and Computer Science

Computer Science

Electrical and Computer Engineering

Kang Zhang is currently serving as a Computer Science Professor at University of Texas At Dallas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kang Zhang

University of Texas at Dallas

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fractals. Chapman and Hall/CRC eBooks (2024)

Steven H. Strogatz

BIVERWORDLE: Visualizing Stock Market Sentiment With Financial Text Data and Trends. (2023)

Lei XiaYi-Ping GaoLe LinYu-Xi ChenKang Zhang

predictive analyticsvisual analyticsinformation visualizationvisual data miningtrend analysisfinancefinancial text datastock market sentimentvisualizationdata and information visualization

Everyone Can Be Picasso? a Computational Framework Into the Myth of Human Versus AI Painting. arXiv (Cornell University) (2023)

Ye, YilinHuang, RongZhang, KangZeng, Wei

humanitiesaestheticscomputer visionhuman-ai interactionartificial intelligencecomputational frameworkvisual artscomputational intelligenceneuroscienceart

A Comparative Study of Oil Paintings and Chinese Ink Paintings on Composition. The visual computer/The visual computer (2022)

Zhen-Bao FanYi-Xuan ZhuSlobodan MarkovićKang Zhang

comparative studyart historyaestheticschinese ink paintingsvisual artscognitive scienceneuroscience

Measuring and Evaluating the Visual Complexity of Chinese Ink Paintings. Computer journal (2021)

Zhen-Bao FanYi-Na LiKang ZhangJinhui YuMao Lin Huang

visual complexitydesignaestheticschinese ink paintingspattern presentationvisual artsimage analysisvisual perceptionneuroscienceart

The Computer-Based Generation of Fonts in the Style of Kandinsky. Leonardo (2021)

Kang ZhangJinhui Yu

aestheticscomputer-based generationdesign

Visual Complexity of Shapes: A Hierarchical Perceptual Learning Model. The visual computer/The visual computer (2021)

Lingchen DaiKang ZhangXianjun Sam ZhengRalph R. MartinYina LiJinhui Yu

visual complexitycognitive sciencevisual perceptionvisual processing

An End-To-End Model for Chinese Calligraphy Generation. Multimedia tools and applications (2020)

Peichi ZhouZipeng ZhaoKang ZhangChen LiChangbo Wang

end-to-end modelmodeling and simulationengineeringchinese calligraphy generation

Coordinate Graph Grammar for the Specification of Spatial Graphs. The Computer Journal (2020)

Yufeng LiuXiaoqin ZengKang ZhangYang Zou

graph theorycomputer sciencecoordinate graph grammar

Generating Layout Designs From High-Level Specifications. Automation in construction (2020)

Xiao-Yu WangKang Zhang

generative designengineeringdesignhigh-level specificationslayout designsautomation in constructionautomationdesign automation

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2
3
4
5
18
10 / page

Similar Faculty Members

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Han-Wei Shen

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Andruid Kerne

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Fillia Makedon

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Bernd Hamann

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Ulrich Neumann

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Similar Faculty Members

Raffaele De Amicis

Institution

Oregon State University

design automation

visualization

Han-Wei Shen

Institution

Ohio State University

geocomputation

computational science

Andruid Kerne

Institution

University of Illinois Chicago

human expression

multidisciplinary ai

G. Elisabeta Marai

Institution

University of Illinois Chicago

visualization

visual programming language

Fillia Makedon

Institution

University of Texas at Arlington

computing environment

memetic computing

Kwan-Liu Ma

Institution

University of California, Davis

high-performance computing

big data

Margaret M. Burnett

Institution

Oregon State University

design automation

intelligent user interface

Ming Dong

Institution

Wayne State University

machine learning

computer science

Bernd Hamann

Institution

University of California, Davis

computational infrastructure

visualization

Ulrich Neumann

Institution

University of Southern California

design

visualization