International Conferences

[P5] How Do LLMs See Charts? A Comparative Study on High-Level Visualization Comprehension in Humans and LLMs

• Hyotaek Jeon*, Hyunwook Lee, Minjeong Shin, Tapendra Pandey, Joohee Kim, Shinwook Seon, Daeun Jeong, Sungahn Ko, and Ghulam Jilani Quadri

• Computer Graphics Forum;  The Eurographics Conference on Visualization 2026 [EuroVIS 2026]

[P4] I Feel We Are Together: How People Perceive Personalized Face-Swapped GIFs in Text-Based Communication

• Daeun Jeong*, Hyunwook Lee, Minjeong Shin, Joohee Kim, Changhee Lee, Sungbeon Cho, Hyotaek Jeon, Seungjae Oh, and Sungahn Ko

• The 2026 ACM CHI conference on Human Factors in Computing Systems [CHI 2026 - Oral]

[P3] From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets 

• Juwon Kim*, Hyunwook Lee, Hyotaek Jeon, Seungmin Jin and Sungahn Ko

• The 34rd ACM International Conference on Information and Knowledge Management [CIKM 2025 - Oral]

[P2] ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting 

• Hyotaek Jeon*, Hyunwook Lee, Juwon Kim and Sungahn Ko

• The 34rd ACM International Conference on Information and Knowledge Management [CIKM 2025 - Oral]

[P1] VEHME: A Vision Language Model For Evaluating Handwritten Mathematics Expressions 

• Thu Phuong Nguyen*, Duc M. Nguyen*, Hyotaek Jeon, Hyunwook Lee, Hyunmin Song, Sungahn Ko, Taehwan Kim

• The 2025 Conference on Empirical Methods in Natural Language Processing [EMNLP 2025 - Poster]

Domestic Conferences

[D4] Maritime Port Data Analytics via Conversational Multi-Agent System and Visualization

• Hyoteak Jeon*, Sungbeom Cho, Changhee Lee, Juwon Kim, and Sungahn Ko

• 2025 대한산업공학회 추계학술대회 논문집 (KIIE), 548-559. [Oral]

[D3] Visual Conversational Framework with LLMs for Maritime Data Analysis

• Hyoteak Jeon*, Juwon Kim, Sungbeom Cho, Changhee Lee, Daeun Jeong, and Sungahn Ko

• 2025 대한산업공학회 춘계공동학술대회 논문집 (KIIE), 2293-2302. [Oral]

[D2]  Spatio-Temporal Traffic Forecasting with Large Language Models

• Hyotaek Jeon*, Hyunwook Lee & Sungahn Ko 

• 2024 대한산업공학회 추계학술대회 논문집 (KIIE), 1246-1255. [Oral]

[D1]  An Empirical Study on Demand Prediction Model for Mobility-On-Demand Bus Data in Domestic Traffic Environment

• Hyotaek Jeon*, Hyunwook Lee & Sungahn Ko 

• 🎉Best Undergraduate Paper Award. 2023 한국정보과학회 학술발표논문집 (KSC), 1473-1475.  [Poster]