I am interested in Generative models(diffusion models, LLMs,..) and Reinforcement Learning.
I am a PhD student at Mila supervised by Aaron Courville, with a Bachelor’s degree from Yonsei university and a Master’s degree from the KAIST supervised by Jinkyoo Park.

🔥 News

• May 2025:  🎉🎉 One paper accepted to KDD 2025
• May 2025:  🎉🎉 One paper accepted to ICML 2025
• Sep 2024:  🎉🎉 Two papers accepted to Neurips 2024
• May 2024:  🎉🎉 One paper accepted to KDD 2024

📝 Publications

([C]: Conference, [W]: Workshop, [P]: Preprint)
* indicates equal contribution.

• [C] Wind Farm Layout Optimization with Diffusion Models [paper]
  Yujin Shin*, Taeyoung Yun*, Sujin Yun, Sungpil Woo, Sunhwan Lim, Jinkyoo Park
  KDD 2025

• [C] Posterior inference with diffusion models for high-dimensional black-box optimization [paper], [code]
  Taeyoung Yun*, Kiyoung Om*, Jaewoo Lee, Sujin Yun, Jinkyoo Park
  ICML 2025

• [C] GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning [paper], [code]
  Jaewoo Lee*, Sujin Yun*, Taeyoung Yun, Jinkyoo Park
  Neurips 2024 (based on the preliminary version of the ICLR GenAI4DM Workshop)

• [C] Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization [paper], [code]
  Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
  Neurips 2024

• [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
  KDD 2024

📖 Educations

• Sep 2025 - Current, Ph.D. student in Informatique, Université de Montréal (MILA)
• Mar 2023 - Feb 2025, M.S in Graduate School of Data Science, KAIST (SILAB)
• Mar 2018 - Feb 2023, B.S Industrial Engineering, Yonsei University

💻 Work Experience

• Feb 2025 - Aug 2025, AD planning & Control Team, NaverLabs
• Jan 2023 - Feb 2023, Data Science Team, CJ Logistics
• Mar 2021 - Aug 2021, Data Science Team, Voithru