Youngju Yoo

Hi! I am Youngju Yoo, an undergraduate student in the school of Electrical Engineering at KAIST. I also studied at UT Austin as a visiting student and worked at NAVER AI Lab as a research intern.

During these experiences, I was fortunate to be advised by Prof. Changick Kim and Prof. Peter Stone.

Email / Linkedin / Google Scholar / Github / Twitter

Research

My research goal is to enable robots to perform complex real-world tasks, generalizing to novel scenarios while aligning with human preferences. To achieve this, my research interest lies in developing certifiable and scalable autonomy at the intersection of logic, planning, and learning, with a focus on (i) formal, temporally extended task specifications and (ii) learning from human instructions (e.g., demonstrations or language).

Publications

*: Equal contribution

	RoboSSM: Scalable In-context Imitation Learning via State-Space Models Youngju Yoo, Jiaheng Hu, Yifeng Zhu, Bo Liu, Qiang Liu, Roberto Martín-Martín, Peter Stone CoRL 2025 Workshop on Resource-Rational Robot Learning CoRL 2025 Workshop on RemembeRL arxiv / video / code / tweet
	BEEP3D: Box-Supervised End-to-End Pseudo-Mask Generation for 3D Instance Segmentation Youngju Yoo, Seho Kim, Changick Kim arxiv
	How to leverage Large Language Models for automatic ICD Coding Youngju Yoo, Sewon Kim Journal of Computers in Biology and Medicine, vol. 189, 2025 paper

Fun

I study and work with classical music in the background. I also enjoy playing them on the cello and piano - 🎻Performances.
Here is a list of my favorite pieces.🎼

Template borrowed from Jon Barron.