I am PhD student at KAIST advised by professor Jinwoo Shin, and a research intern at NVIDIA GEAR hosted by Jim Fan and Yuke Zhu. I was a student researcher at Google DeepMind hosted by Yinxiao Li. I closely worked with Kihyuk Sohn via Google University Relations program.

My research interests lie in probabilistic machine learning, generative modeling, and representation learning, with a focus on their applications to visual understanding and generation. Recently, I have been particularly interested in generative modeling for visual synthesis — including image, video, and 3D generation — as a step toward world modeling. Also, I am exploring applications in robotics, especially utilizing video world-models for robotics policy. My previous works have focused on the fundamentals of training diffusion and flow models, as well as their adaptations to tasks such as 3D generation, personalization, and preference-based fine-tuning.

I plan to graduate in 2026 and am seeking industry research positions. Please feel free to reach out if you’re interested!

Email: kyungmnlee (at) kaist (dot) ac (dot) kr | Curriculum Vitae

📝 Publications

💻 Work Experience

• 2025.12 - 2026.03, Research Intern @ NVIDIA GEAR, Remote.
• 2024.07 - 2024.12, Student Researcher @ Google DeepMind, Mountain View, CA, US.
• 2023.02 - 2024.03, University Relation Program @ Google Research, Remote.

🤝 Academic Services

• Conference reviewer: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, BMCV, WACV, AISTATS
• Journal reviewer: TMLR, TPAMI

📖 Educations

• 2022.09 - 2026.06, KAIST, Ph.D. in Artificial Intelligence (expected).
• 2015.03 - 2019.02, KAIST, B.S. in Mathematics, Electrical and Computer Engineering (double major).