I am an M.S./Ph.D. student at Algorithmic Intelligence Laboratory (ALIN-LAB), advised by Prof. Jinwoo Shin. I received my B.S. in Industrial and Management Engineering at Korea University in 2024. My recent research interests lie in robot learning and video generative models, especially in generating synthetic robot data through video models and in action-grounded world models. Previously, I worked on test-time scaling for Vision-Language-Action models (VLAs) and on adversarial robustness for image classification.
(*: Equal contribution, †: Project Leads, §: Research Leads, C: Conference, J: Journal, W: Workshop, T: Technical Report, P: Preprint).
[T1] RLDX-1: A Dexterity-First Foundation Model for Robot Hands
Dongyoung Kim§, Huiwon Jang§, Myungkyu Koo†, Suhyeok Jang†, Taeyoung Kim†, et al., Jinwoo Shin§
RLWRLD Technical Report, 2026
[C1] Verifier-free Test-Time Sampling for Vision-Language-Action Models
Suhyeok Jang, Dongyoung Kim, Changyeon Kim, Youngsuk Kim, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2026
[P1] RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning
Seungku Kim*, Suhyeok Jang*, Byungjun Yoon, Dongyoung Kim, John Won, Jinwoo Shin
arXiv, 2026
[J1] Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
Suhyeok Jang*, Seojin Kim*, Jinwoo Shin, Jongheon Jeong
Transactions on Machine Learning Research (TMLR), 2024
Korea Advanced Institute of Science and Technology (KAIST) Sep. 2024 - Current
M.S./Ph.D. Student in Graduate School of Artificial Intelligence
Korea University Mar. 2018 - Aug. 2024
B.S. in Industrial and Management Engineering
Visiting Researcher Mar. 2026 - Current
Undergraduate Researcher Mar. 2024 - Aug. 2024
Algorithmic Intelligence Laboratory (ALIN-Lab) (advised by Prof. Jinwoo Shin)
Undergraduate Researcher Nov. 2023 - Mar. 2024
Universal Transfer Learning (UTL) Lab (advised by Prof. Donghyun Kim)
Research Intern Mar. 2023 - Aug. 2023
NCSOFT Speech AI Lab
Conference Reviewer, NeurIPS'26
1st Award in the 2023 K-Data Science Hackathon, Ministry of Science and ICT Nov. 2023
Dean’s List, Korea University 2nd 2023