Ph.D. Student,
IVY&IVL Lab. 🔗,
School of Electrical Engineering,
Korea Advanced Institute of Science and Technology (KAIST)
Email: bpark0810@kaist.ac.kr
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (Mar 2023 ~ Present)
Integrated Master's & Ph.D. Program in Electrical Engineering
Advisor: Yong Man Ro
Korea University, Seoul, Republic of Korea (Mar 2017 ~ Feb 2023)
B.S. in Electrical Engineering
Thesis: Color Constancy Using Phase Information of AC Light Sources (Advised by Prof. Jong-Ok Kim)
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images
Sungjune Park, Hyunjun Kim, Beomchan Park, Yong Man Ro
Under Review [paper]
Phantom of Latent for Large Language and Vision Models
Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro
Technical Report [paper]
TroL: Traversal of Layers for Large Language and Vision Models
Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024, [paper]
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Byung-Kwan Lee, Chae Won Kim, Beomchan Park, Yong Man Ro
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024, [paper]
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro
European Conference on Computer Vision (ECCV), 2024, [paper]
CoLLaVO: Crayon Large Language and Vision mOdel
Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro
Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2024, [paper]
Conference/Journal Reviewer
IEEE International Conference on Image Processing (ICIP) 2024 Workshop
IEEE International Conference on Image Processing (ICIP) 2025 Workshop
ACL ARR 2025 May
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Signal Processing Letters
Teaching
EE305 Introduction to Electronics Design Lab, KAIST (2023 Fall, 2024 Spring)
EE837 Special Topics in Signal Processing: Multimedia Processing and Learning, KAIST (2024 Fall)
EE474 Introduction to Multimedia, KAIST (2025 Spring)
National Scholarship
2023, 2024, 2025