About me

Hi! I’m currently a research intern at Vision & Learning Lab, under the supervision of Prof. Gunhee Kim.

My research interest primarily lies in addressing the challenges of contemporary deep neural networks with large-scale knowledge transfer. This includes:

• in-context RL, offline RL
• continual learning, learning to continually learn

Education

• B.S. in Statistics and Artificial Intelligence, Seoul National University
  Mar. 2017 - Aug. 2023 (Leave of absence for military service: Mar. 2019 - Feb. 2021)
  Graduated with Summa Cum Laude (GPA: 3.95 / 4.3)

Publications

• When Meta-Learning Meets Online and Continual Learning: A Survey
  Jaehyeon Son*, Soochan Lee*, Gunhee Kim (*: equal contribution)
  IEEE TPAMI 2024
  [paper]

• Learning to Continually Learn with the Bayesian Principle
  Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee Kim
  ICML 2024
  [paper] [code]

• Recasting Continual Learning as Sequence Modeling
  Soochan Lee, Jaehyeon Son, Gunhee Kim
  NeurIPS 2023
  [paper] [code]

Work Experience

• Knowledge AI Lab, NCSOFT
  Jul 2021 - Aug 2021
  Research Intern

Honors & Awards

• Songam Scholarship
  Mar. 2017 - Feb. 2023

• Honor of Summa Cum Laude
  Aug. 2023