Hi! My name is Sung-hwan Han. I am an M.S. student in the High Performance AI System Lab at Sogang University, advised by Prof. Youngmin Yi.

My research focuses on two areas:

  • Efficient inference and deployment of AI models, particularly Vision-Language-Action (VLA) models
  • Human-Robot Interaction (HRI), with an emphasis on Robots for Good

Across both areas, I am driven by a single goal: developing AI that benefits people who are often overlooked or underserved. I hope my research helps make intelligent systems more accessible, practical, and meaningful for those who need them most.

news

Jun 17, 2026 One paper was accepted to IROS 2026.
May 31, 2026 One paper was accepted to AdaptFM Workshop @ ICML 2026. [Link]

selected publications

  1. IROS 2026
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    AdaVLA: Adaptive Step Flow Matching for Training-Free Acceleration of Vision-Language-Action Models
    Sung-hwan Han, Youngtae Han, and Youngmin Yi
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026
    To appear
  2. AdaptFM
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    Zero-Shot Quantization for Vision-Language-Action Models via Trajectory Curvature and Attention Guidance
    Sung-hwan Han and Youngmin Yi
    In AdaptFM: Resource-Adaptive Foundation Model Inference, 2026