Yixuan Zhang
PhD Student → PhD @ Georgia Tech
Research focus: Temporal event sequence visualization with uncertainty, missing data, and incorrect data in support of type 1 diabetes treatment

Publications

2021
Thumbnail image for publication titled: VisConnect: distributed event synchronization for collaborative visualization
VisConnect: distributed event synchronization for collaborative visualization

Michail Schwab, David Saffo, Yixuan Zhang, Shash Sinha, Cristina Nita-Rotaru, James Tompkin, Cody Dunne, and Michelle A. Borkin. IEEE Transactions on Visualization and Computer Graphics—VIS/TVCG. 2021.

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Thumbnail image for publication titled: Daisen: A framework for visualizing detailed GPU execution
Daisen: A framework for visualizing detailed GPU execution

Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, and David Kaeli. Computer Graphics Forum—EuroVis/CGF. 2021.

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2020
Thumbnail image for publication titled: Sequence Braiding: Visual overviews of temporal event sequences and attributes
Sequence Braiding: Visual overviews of temporal event sequences and attributes

Sara Di Bartolomeo, Yixuan Zhang, Fangfang Sheng, and Cody Dunne. IEEE Transactions on Visualization and Computer Graphics—VIS/TVCG. 2020.

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Thumbnail image for publication titled: Information visualization for diabetes management: A literature review
Information visualization for diabetes management: A literature review

Yixuan Zhang, Andrea G. Parker, and Cody Dunne. In Proc. 14th EAI International Conference on Pervasive Computing Technologies for Healthcare—PervasiveHealth. 2020.

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2019
Thumbnail image for publication titled: IDMVis: Temporal event sequence visualization for type 1 diabetes treatment decision support
IDMVis: Temporal event sequence visualization for type 1 diabetes treatment decision support

Yixuan Zhang, Kartik Chanana, and Cody Dunne. IEEE Transactions on Visualization and Computer Graphics—VIS/TVCG. 2019.

DOI | Code | Demo | Video Preview | Demo Video | BibTeX

Thumbnail image for publication titled: Evaluating alignment approaches in superimposed time-series and temporal event-sequence visualizations
Evaluating alignment approaches in superimposed time-series and temporal event-sequence visualizations

Yixuan Zhang, Sara Di Bartolomeo, Fangfang Sheng, and Cody Dunne. In Proc. IEEE Visualization Conference—VIS. 2019.

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Khoury Vis Lab — Northeastern University
West Village H, Room 302
440 Huntington Ave, Boston, MA 02115, USA