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个人简介
Dr Wang's research expertise lies in the theoretical, algorithmic, and application aspects of data analysis and data visualization, with a focus on topological techniques. In particular, her research leverages topological data analysis, which provides a strong theoretical basis for transforming large, complex data into compact, structure-highlighting representations. Such representations connect naturally with and provide infrastructures for data visualization, and inspire the rethinking of interactive data exploration to facilitate analytical reasoning. Some of her current research activities draw inspirations from topology, geometry and machine learning, in studying vector fields, high-dimensional point clouds, networks and multivariate ensembles.
研究兴趣
论文共 158 篇作者统计合作学者相似作者
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IEEE Transactions on Visualization and Computer Graphicspp.1-11, (2023)
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2023 IEEE VISUALIZATION AND VISUAL ANALYTICS, VIS (2023): 41-45
arxiv(2023)
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2023 IEEE WORKSHOP ON VISUALIZATION FOR SOCIAL GOOD, VIS4GOODpp.11-15, (2023)
Inf. Vis.no. 3 (2023): 186-208
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arxiv(2023)
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