Jiayi HONG 洪佳怡
Jiayi Hong is a tenure-track Assistant Professor (Professeure adjointe) in the Department of Computer Science and Software Engineering at Laval University. She is an IVADO Professor and a member of the Institute Intelligence and Data (IID), FRQNT Strategic Cluster REPARTI, Centre de recherche en Robotique, Vision et Intelligence Machine (CeRVIM), Laboratoire de vision et systèmes numériques (LVSN), and University’s Group for Research in Artificial Intelligence (GRAAL). Previously, she was a Postdoctoral Research Scholar in VADER lab, supervised by Ross Maciejewski. She got her PhD in Computer Science at AVIZ INRIA, Université Paris Saclay, supervised by Tobias Isenberg. Her research interest lies in human-AI Teaming, visualization for GeneAI, and visual Representations.
I am currently looking for self-motivated PhD and Master students (see Join Us for more details.) Feel free to reach out with your CV if you're interested!
News
| I joined Université Laval as an Assistant Professor. Excited to begin this new chapter! | |
| Our paper, Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation, is accpeted to IEEE TVCG. | |
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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| Older news... |
Selected Papers
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TVCG 2025 Full Paper
Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation.
IEEE Transactions on Visualization and Computer Graphics, 2025, To appear.
10.1109/TVCG.2025.3536358
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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... |
