JUNYONG AHN — accepted AI-conference papers

2026

MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments

Junyong Ahn, Hyeongrok Han, Bong Gyun Kang, Jisoo Mok, Byunghan Lee, Sungroh Yoon

ICLR 2026poster

Developing a mobile system capable of generating responses based on stored user data is a crucial challenge. Since user data is stored in the form of Knowledge Graphs, the field of knowledge graph question answering (KGQA) presents a promising avenue towards addressing this problem. However, existin…

Cited by 0 Source ↗Scholar ↗

2026

Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time

Bong Gyun Kang, JUNYONG AHN, Hyeongrok Han, Sungroh Yoon

ICML 2026poster

Electronic Health Records (EHRs) possess unique characteristics distinct from natural language, yet existing EHR foundation models often rely on suboptimal NLP-based approaches. We propose a pretraining method tailored to EHRs' distinct features. First, we introduce Pathology-Focused Binning, a dens…

Cited by 0 Source ↗Scholar ↗