About
I am an M.S. student in the School of Computing at the Korea Advanced Institute of Science & Technology (KAIST), advised by Prof. Hyunwoo J. Kim in the MLV Lab.
My research interests lie in building AI agents that can automate complex, multi-step tasks, and in advancing multimodal AI systems that better understand, reason over, and interact with visual information, particularly videos.
Recently, I have been particularly interested in the following research directions:
- Agent systems for video understanding and reasoning, particularly for long-form and egocentric videos, as well as methods for efficient video inference on edge devices.
- Prompt and agent optimization methods, with an emphasis on improving their computational and data efficiency.
- Post-training methods for Vision-Language Models (VLMs) to improve multimodal understanding and reasoning.
I am open to research collaborations and internship opportunities. Please feel free to reach out via email.
News
- Jul. 2026Our paper VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement has been accepted to ECCV 2026!
- Feb. 2026I received my B.S. in the School of Computing at KAIST.
- Feb. 2026Our paper MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models has been accepted to CVPR 2026!
Education
Korea Advanced Institute of Science & Technology (KAIST), School of Computing - M.S. Student, Sep. 2026 - Present
Korea Advanced Institute of Science & Technology (KAIST), School of Computing - B.S., Mar. 2021 - Feb. 2026
Experiences
Undergraduate Intern, advised by Prof. Hyunwoo J. Kim
AI Engineer
AI Engineer Intern
Core Member
Publications
Conference Papers
VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement
European Conference on Computer Vision (ECCV), 2026
MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
