Jiayi HONG 洪佳怡
Jiayi Hong is a Postdoctoral Research Scholar in
VADER lab, supervised by Ross Maciejewski.
Previously, she did her PhD at 
AVIZ INRIA, Université Paris Saclay, supervised by Tobias Isenberg.
Her work focused on using diverse techniques (Visualization, Interaction, and Machine Learning) to help domain experts with scientific problems.
She got her M.S. degree in Computer Science from 
University of Bristol in 2019 and received her B.Eng. degree in Industrial Design, 
Zhejiang University in 2018.
Her research interest lies in Novel Visual Representations, Human Computer Interaction, and Aritifical Intelligence for Visualization.
I am currently on the job market in 2025 and am actively seeking academic opportunities. I also welcome proposals for potential collaborations or positions!
News
We presented our work Carbon footprint impact of NCAA conference realignment at
 INFORMS Annual Meeting, 2024.
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We presented our paper, Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage at
IEEE  VIS 2024.
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| Our paper, A Simulation-based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning, is accpeted to IEEE TVCG. | |
Our paper, Capturing Cancer as Music: Cancer Mechanisms Expressed through Musification, is accpeted to
ACM  CHI 2024.
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| Our paper, A Survey of Designs for Combined 2D+3D Visual Representations, is accpeted to IEEE Pacific VIS 2024 (TVCG Track). | |
| Our paper, Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage, is accpeted to IEEE TVCG. | |
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Selected Papers
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PacificVis'24 / TVCG 2024 Full Paper
A Survey of Designs for Combined 2D+3D Visual Representations.
IEEE Transactions on Visualization and Computer Graphics, 2024. To appear.
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TVCG 2024 Full Paper
Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage.
IEEE Transactions on Visualization and Computer Graphics, 30(4):1956–1969, April 2024.
10.1109/TVCG.2023.3302308
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EuroVis'22 / CGF 2022 Full Paper
LineageD: An Interactive Visual System for Plant Cell Lineage Assignments based on Correctable Machine Learning.
Computer Graphics Forum, 41(3):195–207, June 2022.
10.1111/cgf.14533
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| Full list... |
