Youngsik Yoon

POSTECH. ML Lab.

ysyoon_profile.jpg

Hello! I’m Youngsik Yoon, a Ph.D. student in the POSTECH Machine Learning Lab, advised by Professor Jungseul Ok. I received my B.S. in Computer Science and Engineering & Mathematics from POSTECH. Previously, I was a research intern at Microsoft Research Asia (MSRA), mentored by Wei Chen and Siwei Wang.

My research focuses on efficient exploration strategies in reinforcement learning. I am interested in applying these ideas across diverse domains, including deep RL, robotics, LLMs, model architectures, and broadly in machine learning systems.

You can reach me at ysyoon97@postech.ac.kr.

education

  • M.S./Ph.D. Integrated Program in Computer Science and Engineering, POSTECH
    2021.03 – Present
  • B.S. in Computer Science and Engineering & Mathematics, POSTECH
    2016.03 – 2021.02

selected publications

  • PaT: Planning-after-Trial for Efficient Code Generation
    Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
    Preprint, 2026
  • Combinatorial Rising Bandits
    Seockbean Song*, Youngsik Yoon*, Siwei Wang, Wei Chen, Jungseul Ok
    ICLR 2026
  • Breadth-first Exploration on Adaptive Grid for Reinforcement Learning
    Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok
    ICML 2024
  • Few-shot Unlearning
    Youngsik Yoon*, Jinhwan Nam*, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, Jungseul Ok
    IEEE S&P 2024

experience

  • Research Intern, Microsoft Research Asia (MSRA)
    2024.09 – 2025.03   ·   Mentored by Wei Chen
  • President of the Graduate Student Association, Dept. of Computer Science and Engineering
    2021.03 – 2022.02