Jong in Choi — accepted AI-conference papers

2026

TabGeoFlow: A Geometric Flow Matching Model for Tabular Data Synthesis

AAAI 2026technical

Tabular data synthesis is a key technique for protecting data privacy and addressing class imbalance, yet existing generative models struggle to capture the complex intrinsic structure of the data. To overcome this limitation, we propose TabGeoFlow, a novel geometric flow matching model for tabular

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2024

Identifying Guarantors of War Veterans Using Robust-SEAL: A Case of the Korean War

Jong in Choi, Won Kyung Lee, Jae Hwan Lee, So Young Sohn

AAAI 2024technical

Most countries provide veterans with various benefits to reward their sacrifice. Unfortunately, many veterans have failed to prove their status due to loss of military records. Thus, some governments allow the verification of those veterans through "buddy statements" obtained from the people who can…

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