Ph.D. Student @ Korea University
Exploring the intersection of Computer Graphics, Motion Synthesis, and Deep Learning
1 paper Accepted @ NeurIPS 2026
Ph.D. Fellowship Awarded by NRF
1 paper Accepted @ ICLR 2026
1 paper Accepted @ CVM 2026
1 paper Presented @ SIGGRAPH Asia 2025
1 paper (Oral) Accepted @ WACV 2026
1 paper Accepted @ SIGGRAPH Asia 2025
I am a Graphics Researcher and Ph.D. Student at Korea University. My research focuses on understanding and imitating human behaviors through Computer Graphics and Deep Learning.
Doctor of Philosophy - Ph.D. Student, Computer Science
Research Interest: Computer Graphics
Bachelor, Software Convergence
GPA: 4.04/4.5
Acquired Skills: Deep Learning, Natural Language Processing (NLP)
Researcher · Intern
Seongnam, South Korea · On-site
Autonomous Driving Simulator
Intern · On-site
NLP Researcher · Full-time
Pangyo, South Korea · On-site
NeurIPS 2026 Conference Paper
A framework that distills the foresight of dual task-aligned world models into a fast navigation policy at training time, enabling safer and more human-like navigation in multi-agent scenes without inference-time rollouts.
ICLR 2026 Conference Paper
A novel approach for event-level conditioning in text-to-motion synthesis, enabling complex and nuanced motion generation from text descriptions.
WACV 2026 Conference Paper Oral Presentation
A bidirectional partial occlusion network designed for improved text-to-motion synthesis, achieving state-of-the-art performance and selected for oral presentation.
SIGGRAPH Asia 2025 Conference Paper Oral Presentation
A novel framework for symbolic cognitive reasoning enabling virtual agents to make natural head rotation decisions in embodied environments.
App. No: 10-2025-0149262
App. No: 10-2024-0054714
App. No: 10-2022-0155485
Joint research with NCSOFT. Developing high-fidelity motion synthesis models capable of generating complex interactions from natural language descriptions. Our model BiPO ranked 1st on HumanML3D at the time.
Joint research with ETRI. Developing agent technology that self-improves by recognizing uncertainty and asking questions to resolve ambiguity.
Research internship at Kakao Mobility. Built RePT, a multi-agent traffic simulation model that ranked 1st on the WOSAC 2025 leaderboard at the time.
National Research Foundation of Korea (NRF)
Granted $37,000
KCGS 2025
KSC 2022
KCC 2022
SW Festival · Kyung Hee University
Khuthon 2021 · Kyung Hee University
Khuthon 2021 · Kyung Hee University
I'm always open to discussing new research collaborations, interesting projects, or opportunities in graphics and motion synthesis.
