MS student in Graduate School of Data Science at KAIST

I am a member of the Systems Intelligence Lab (advised by Prof. Jinkyoo Park). My research focuses on intersection of deep learning, decision making and generative models. Here is my cv.

🔥 News

May 2024: 🎉🎉 One paper accepted to KDD 2024
March 2024: 🎉🎉 One paper accepted (Spotlight) to ICLR 2024 Workshop on Generative Models for Decision Making

📝 Publications

([C]: Conference, [W]: Workshop, [P]: Preprint)

[P] Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization [paper], [code]
Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
[C] An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems [paper], [code]
Taeyoung Yun*, Kanghoon Lee*, Sujin Yun, Ilmyung Kim, Wonwoo Jung, Mincheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024
[W] GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning [paper], [code]
Sujin Yun, Jaewoo Lee*, Taeyoung Yun, Jinkyoo Park
ICLR 2024 Workshop: Generative Models for Decision Making (Spotlight)

📖 Educations

Mar 2023 - Feb 2025 (Expected), M.S in Graduate School of Data Science, KAIST (SILAB)
Mar 2018 - Feb 2023, B.S Industrial Engineering, Yonsei University

🧰 Industry Project

Apr 2023 - Oct 2023, Automated Control of Compressor Operations through offline RL, Samsung Heavy Industry

💻 Work Experience

Jan 2023 - Feb 2023, Data Science Team, CJ Logistics
Mar 2021 - Aug 2021, Data Science Team, Voithru

📚 Teaching Experience

Mar 2024 - Jun 2024, IE437: Data-Driven Decision Making and Control, KAIST