Dongjun Lee Ph.D student, KAIST AI

I am a Ph.D. student at KAIST, advised by Prof. Kimin Lee, and currently a visiting scholar at New York University collaborating with Prof. Mengye Ren. Previously, I interned at Config, and also interned at Microsoft Research.

My research goal is to build an embodied agent that can interact and collaborate with humans over long horizons reliably and safely. To this end, I work on robot learning and human-robot interaction, focusing on model architectures and scalable data sources for natural and reactive interaction with humans.

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dgjun32 [AT] kaist.ac.kr / mando0302 [AT] gmail.com

Dongjun Lee
Publications* indicates equal contribution
[W2] EDITH: Teaching Robots to Follow Nonverbal Human Intent from Egocentric Vision and Gaze teaser
[W2] EDITH: Teaching Robots to Follow Nonverbal Human Intent from Egocentric Vision and Gaze
Dongjun Lee*, Juheon Choi*, Dong Kyu Shin*, Sinjae Kang, Kimin Lee
IROS 2026 Workshop on Human-Robot Dialogue
project website paper (arxiv) code
[C3] Learning to Generate Unit Test via Adversarial Reinforcement Learning teaser
[C3] Learning to Generate Unit Test via Adversarial Reinforcement Learning
Dongjun Lee, Changho Hwang, Kimin Lee
ICLR 2026
project website paper (arxiv) code
[C2] Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents teaser
[C2] Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
Dongjun Lee*, Juyong Lee*, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
ICLR 2025
project website paper (arxiv) code
[C1] Read-only prompt optimization for Vision-Language Few-shot Learning teaser
[C1] Read-only prompt optimization for Vision-Language Few-shot Learning
Dongjun Lee*, Seokwon Song*, Jihee Suh, Junmyeong Choi, Sanghyeok Lee, Hyunwoo J.Kim
ICCV 2023
paper (arxiv) code
2026
[W2] EDITH: Teaching Robots to Follow Nonverbal Human Intent from Egocentric Vision and Gaze teaser
[W2] EDITH: Teaching Robots to Follow Nonverbal Human Intent from Egocentric Vision and Gaze
Dongjun Lee*, Juheon Choi*, Dong Kyu Shin*, Sinjae Kang, Kimin Lee
IROS 2026 Workshop on Human-Robot Dialogue
project website paper (arxiv) code
[C4] Learning Multi-View Spatial Reasoning from Cross-View Relations
Suchae Jeong, Jaehwi Song, Haeone Lee, Hanna Kim, Jian Kim, Dongjun Lee, Dongkyu Shin, Changyeon Kim, Dongyoon Hahm, Woogyeol Jin, Juheon Choi, Kimin Lee
CVPR 2026
project website paper (arxiv)
[C3] Learning to Generate Unit Test via Adversarial Reinforcement Learning teaser
[C3] Learning to Generate Unit Test via Adversarial Reinforcement Learning
Dongjun Lee, Changho Hwang, Kimin Lee
ICLR 2026
project website paper (arxiv) code
[W1] Adversarial Iterative Unit Test Generation with Large Language Models
Dongjun Lee, Juyong Lee, Changho Hwang, Kimin Lee
ICLR 2026 Workshop on Agentic AI in the Wild
2025
[C2] Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents teaser
[C2] Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
Dongjun Lee*, Juyong Lee*, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee
ICLR 2025
project website paper (arxiv) code
[J1] Collaborative LLM Inference via Planning for Efficient Reasoning
Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Kyungjoon Park, Dongjun Lee, Jinwoo Shin
TMLR
paper (arxiv)
[P1] Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
Yongjin Yang, Sinjae Kang, Juyong Lee, Dongjun Lee, Seyoung Yun, Kimin Lee
Arxiv Preprint
paper (arxiv)
2023
[C1] Read-only prompt optimization for Vision-Language Few-shot Learning teaser
[C1] Read-only prompt optimization for Vision-Language Few-shot Learning
Dongjun Lee*, Seokwon Song*, Jihee Suh, Junmyeong Choi, Sanghyeok Lee, Hyunwoo J.Kim
ICCV 2023
paper (arxiv) code
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