Juyong Lee
I am a PhD(/MS int.) candidate at KAIST, advised by Kimin Lee .
I received a B.S. degree with a double major in both mathematics and computer science/engineering at
POSTECH.
I have an experience as an exchange student at Stanford.
I am currently a research engineer at Google DeepMind, reporting to Daniel
Toyama .
My doctoral research focuses on developing autonomous agents for controlling mobile devices with
language models.
Currently, I am interested in enabling agents to operate over extremely long horizons.
CV /
Google Scholar /
Github
Research
Posts
Peer-reviewed journal, conference, and workshop publications (*: equal contribution).
MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control
Juyong Lee* ,
Dongyoon Hahm*,
June Suk Choi*,
W. Bradley Knox,
Kimin LeeAAAI 2026 (AI Alignment Track)
State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital
Living
Juheon Choi, Juyong Lee , Jian Kim, ..., W. Bradley
Knox, Min Kyung Lee, Kimin Lee
CHI 2026
Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation
Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, ..., Juyong
Lee , ..., Yu Su, Percy Liang, Arvind Narayanan
ICLR 2026
Adversarial Iterative Unit Test Generation with Large Language Models
Dongjun Lee, Juyong Lee , Changho Hwang, Kimin
Lee
ICLR 2026 Workshop: Reliable Autonomy
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
Dongjun Lee*,
Juyong Lee* ,
Kyuyoung Kim,
...,
Jinwoo Shin,
Yee Whye Teh,
Kimin Lee
ICLR 2025
Benchmarking Mobile Device Control Agents across Diverse Configurations
Juyong Lee ,
Taywon Min,
Minyong An,
...,
Haeone Lee,
Changyeon Kim,
Kimin LeeICLR 2024 Workshop: GenAI4DM (spotlight presentation);
CoLLAs 2025
Hyperbolic VAE via Latent Gaussian Distributions
Seunghyuk Cho, Juyong Lee , Dongwoo Kim
NeurIPS 2023
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Taewook Nam*, Juyong Lee* , Jesse Zhang, Sung Ju Hwang,
Joseph J. Lim, Karl Pertsch
NeurIPS 2023 Workshop: Agent Learning in Open-Endedness
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation
Learning
Seunghyuk Cho, Juyong Lee , Jaesik Park, Dongwoo
Kim
NeurIPS 2022
Style-Agnostic Reinforcement Learning
Juyong Lee* ,
Seokjun Ahn*,
Jaesik ParkECCV 2022
A 3D cell printed muscle construct with tissue-derived bioink for the treatment of
volumetric muscle loss
Yeong-Jin Choi, Young-Joon Jun, ..., Juyong Lee , ...,
Wan Kyun Chung, Jong-Won Rhie, Dong-Woo Cho
Biomaterials 2019
