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Jaewoo Lee | UNC Chapel Hill
Ph.D. Student
UNC Chapel Hill
jwoolee@cs.unc.edu
Jaewoo Lee
About Me
Thanks for visiting my website!😄
I am a 1st-year Ph.D. student at UNC Chapel Hill, MURGe-Lab (Advisor: Prof. Mohit Bansal). Previously, I collaborated with Prof. Boyang Li at NTU. I had an internship at the MIT Media Lab, where I had the opportunity to collaborate with Prof. Paul Liang and Prof. Yi R. Fung.
I received a M.S. degree in Artificial Intelligence at KAIST in Aug 2024 (Prof. Sung Ju Hwang) and a B.S. degree in Electrical Engineering at KAIST in Feb 2023 (Summa Cum Laude Award).
Research Interests
- Multimodal: Vision-Language, Audio-Visual, Interleaved modalities
- Agentic reasoning: Tool-integrated agents, Information-seeking
- Efficiency: Data selection, Token reduction, Model Compression
News
- [Nov. 2025] New preprint is out, check out PRInTS!
- [Aug. 2025] I started my PhD journey at the UNC Chapel Hill MURGe-Lab!
- [Jun. 2025] One paper got accepted to VecDB Workshop @ ICML 2025
- [Apr. 2025] One paper got accepted to ACL Findings 2025 🇦🇹
- [Feb. 2025] I finished my research internship at MIT Media Lab!
- [Aug. 2024] One paper got accepted to EMNLP 2024 🇺🇸
- [Jun. 2024] I finished my research collaboration at NTU!
- [May. 2024] One paper got accepted to ICML 2024 🇦🇹
Publications
(* denotes the equal contribution and ^ denotes the equal advising)
-
Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansalpreprint. -
ACL Findings
Jaewoo Lee, Keyang Xuan, Chanakya Ekbote, Sandeep Polisetty, Yi R. (May) Fung, Paul Pu LiangAnnual Meeting of the Association for Computational Linguistics, Findings Long paper (ACL Findings), 2025. -
ICML Workshop
Jaewoo Lee*, Joonho Ko*, Jinheon Baek*, Soyeong Jeong, Sung Ju HwangVecDB Workshop @ International Conference on Machine Learning (ICML Workshop), 2025. -
EMNLP
Jaewoo Lee, Boyang Li^, Sung Ju Hwang^Conference on Empirical Methods in Natural Language Processing, Main conference Long paper (EMNLP), 2024. -
ICML
Jaewoo Lee*, Jaehong Yoon*, Wongjae Kim, Yunji Kim, Sung Ju HwangInternational Conference on Machine Learning (ICML), 2024. -
ICSV
Wonjun Yi, Jung-Woo Choi, Jaewoo LeeInternational Congress on Sound and Vibration (ICSV), 2023.
Educations
- 2023.03 - 2024.08, M.S. in Artificial Intelligence. KAIST.
- Thesis: Efficient Training Techniques for Multimodal Learning (PDF)
- A half-year early graduation.
- 2020.03 - 2023.02, B.S. in Electrical Engineering. KAIST.
- Summa Cum Laude
- One-year early graduation.
Research Experiences
- 2024.11 - 2025.02, Research Intern, MIT Media Lab, United States.
- 2024.08 - 2025.03, AI Researcher, DeepAuto, South Korea.
- 2024.01 - 2024.06, Research collaborator, NTU, Singapore.
- 2023.03 - 2024.08, Master degree Student, MLAI Lab, KAIST, South Korea.
- 2021.09 - 2022.06, Research Intern, Smart Sound Systems Lab, KAIST, South Korea.
- 2021.06 - 2021.08, Research Intern, Urban Robotics Lab, KAIST, South Korea.
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