I am a Research Officer at the Agency for Defense Development, Korea's national defense R&D agency (similar to DARPA), and a First Lieutenant in the Republic of Korea Army. I received my B.S. in Computing with a minor in Physics from KAIST.

My research aims to build physics-accurate and cost-efficient generative AI systems by combining principled mathematical analysis with practical algorithm design.

Publications

Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration

NeurIPS 2025

Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration

Yunghee Lee, Byeonghyun Pak, Junwha Hong, Hoseong Kim

Tortoise and Hare Guidance accelerates diffusion sampling by integrating the guidance term on a coarser timestep grid.

LVS: A Learned Video Storage for Fast and Efficient Video Understanding

CVPR Workshops (CVPRW) 2024

LVS: A Learned Video Storage for Fast and Efficient Video Understanding

Yunghee Lee, Jongse Park

LVS memoizes feature vectors for already-seen video clips and reuses them for future video understanding queries.

HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping

IEEE Robotics Autom. Lett. (RA-L) 2023

HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping

Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo

HybGrasp efficiently learns to adapt to different gripper designs by refining the base pose with lightweight modules.

Experience

Jun 2024 – Present

Agency for Defense Development (ADD)

Research Officer, Manager: Dr. Eunjin Koh, Advisor: Dr. Hoseong Kim

  • Developed data storage and retrieval systems for surveillance UAVs.
  • Worked on diffusion models for infrared image generation. [NeurIPS 2025]
Jan 2023 – Mar 2024

Computer Architecture and Systems Lab @ KAIST

Undergraduate Research Intern, Advisor: Prof. Jongse Park

  • Worked on efficient video understanding systems. [CVPRW 2024]
Jan 2022 – Aug 2022

Neuro-Machine Augmented Intelligence Lab @ KAIST

Undergraduate Research Intern, Advisor: Prof. Sungho Jo

  • Worked on robot grasping for various gripper designs. [RA-L 2023]

Education

2020 – 2024

Korea Advanced Institute of Science and Technology (KAIST)

B.S. in Computing, Summa Cum Laude