Tong Ge

I am a research scientist at Beke. Meanwhile, I am also the reviewer of multiple top conferences and journals including IEEE Vis, TVCG, and etc.. I received my Ph.D. degree from Shandong University, where I work with Prof. Yunhai Wang and Prof. Baoquan Chen in the IDEAS Lab. My research interests are data visualization, application system and machine learning. Specifically, I have been working on programming languages (e.g. Canis) and authoring tools (e.g. CAST) for visualization animation.

I received my bachelor degree from Shandong University in 2015, where I worked in SDU IRC as an undergraduate research assistant advised by Prof. Baoquan Chen.

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publications

CAST: Authoring Data-Driven Chart Animations

Tong Ge, Bongshin Lee, Yunhai Wang

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , 2021 [Best Paper Honorable Mention Award]

[ PDF | Website ]

Canis: A High-level Language for Data-Driven Chart Animations

Tong Ge, Yue Zhao, Bongshin Lee, Donghao Ren, Baoquan Chen, Yunhai Wang

Computer Graphics Forum ( Proc. of EuroVis 2020) , 2020

[ PDF | Website ]

A Recursive Subdivision Technique for Sampling Multi-class Scatterplots

Xin Chen, Tong Ge, Jian Zhang, Baoquan Chen, Chi-Wing Fu, Oliver Deussen and Yunhai Wang

IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2019) , 2020

[ PDF | Website ]

Optimizing Color Assignment for Perception of Class Separability in Multiclass Scatterplots.

Yunhai Wang, Xin Chen, Tong Ge, Chen Bao, Michael Sedlmair, Chi-Wing Fu, Oliver Deussen and Baoquan Chen

IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2018) , 2019

[ PDF | Website ]

VEGA: visual comparison of phylogenetic trees for evolutionary genome analysis (ChinaVis 2019).

Tong Ge, Yonghua Lu, Kecheng Lu, Yunhai Wang, Xin Liu, Zhanglin Cheng, Yi Chen, Oliver Deussen & Baoquan Chen

Journal of Visualization , 2020

[ PDF ]

Visualizing and Curating Knowledge Graphs over Time and Space.

Tong Ge, Yafang Wang, Gerard de Melo, Haofeng Li, Baoquan Chen

Proceedings of ACL-2016 System Demonstrations , 2016

[ PDF ]

ShapeExplorer: Querying and exploring shapes using visual knowledge.

Tong Ge, Yafang Wang, Gerard De Melo, Zengguang Hao, Andrei Sharf, Baoquan Chen

International Conference on Extending Database Technology , 2016

[ PDF ]

projects

CAST: Authoring Data-Driven Chart Animations

CAST provides an easy access to authoring expressive chart animations especially for people who lacks programming skills.

Project Page

Canis: A High-level Language for Data-Driven Chart Animations

Canis brings your charts to life. It provides an easy-understanding JSON syntax, and generates animations of the given visualization charts to support storytelling or analysis.

Project Page

Tong Ge

publications

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