Hi! I am Hyotaek Jeon (전효택).
I am currently a Ph.D. Student in the Graduate School of Artificial Intelligence at POSTECH, advised by Dr. Sungahn Ko.
My research focuses on Machine Learning, including Time-series & Spatio-Temporal Forecasting and Explainable AI (XAI). Additionally, I am particularly interested in leveraging Large Language Models (LLMs) for Knowledge Integration and Reasoning.
[Email] : taek98@postech.ac.kr
[Linkedin] [Google Scholar] [Github] [HAiV_LAB]
✒️Ph.D in Graduate School of Artificial Intelligence. 2025 ~ present
Pohang University of Science and Technology (POSTECH) - Advisor: Dr. Sungahn Ko
Ph.D in Computuer Science and Engineering, 2024 ~ 2025
Ulsan National Institute of Science and Technology (UNIST) - Advisor: Dr. Sungahn Ko
🎓 B.E. in Intelligent Mechatronics Engineering, 2018 ~ 2024
Sejong University (Seoul, Korea)
Machine Learning
Time-series, Spatio-Temporal Forecasting
Explainable AI (XAI)
Large Language Models
Knowledge Integration & Reasoning
Computational Efficiency
Cross-Modality Spatio Temporal Forecasting (ICLR 2027)
Decoding Methodology (ACL ARR)
Text-to-SQL & RL (VLDB 2027)
Channel Dependency Mdoeling in Multivariate Time Series Forecasting (Under Revision)
[EuroVIS 2026] 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
[EMNLP 2025] 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
[CIKM 2025] ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting
Hyotaek Jeon, Hyunwook Lee, Juwon Kim and Sungahn Ko
NEWS
2026.03) Paper is accepted for publication at EuroVIS 26 - Full paper [LLMs' high level visualization comprehension (1st.)]
2026.03) Paper is accepted for publication at ACM CHI 26 - Full paper [Face-swapping GenAI].
2026.01) Representative Achievement Award (2025 Best Paper) Awarded by the Human-Centered Carbon-Neutral Global Supply Chain Research Center. (Invited Talk on "LLM for Spatio-Temporal Forecasting" at the 2026 Workshop, Busan)
2025.10) Invited Talk at The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models. (STIntelligence, CIKM 2025 Workshop, 11.14)
2025.08) Paper is accepted for publication at EMNLP 25 - Main Conference [Vision Language Model for Evaluating Handwritten Mathmatics Expressions]
2025.08) Two papers are accepted for publication at ACM CIKM 25 - Full papers [LLMs for Spatio-Temporal Forecasting (1st.), Deep Learning Technique for Stock Investment]
2025.06) Served as Local Chair for Korea Visualization Workshop 2025 (Pohang, POSTECH LG Engineering Building #105)
2025.02) Lab relocated to POSTECH CSE/GSAI
