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Suhyun Kim

Department of Artificial Intelligence, Yonsei University

I am an M.S. student advised by Prof. Seong Jae Hwang at MICV Lab.

My research focuses on aligning brain and AI representations—currently exploring multimodal alignment and brain decoding. Going forward, I am interested in subject-invariant learning and incorporating domain-specific structure into self-supervised methods.

Ask why — a principle that drives me.

selected publications

  1. BAT-CLIP: Trimodal Alignment of Brain, Audio and Text
    Suhyun Kim*, Jinmo Han*, Danny Dongyeop Han*, Ahhyun Lucy Lee, Jewoon Lee, and 7 more authors
    In IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Oral, 2026
    arXiv PDF Project page
  2. Towards ROI-Free Modality Translation for MRI with Test-Time Augmentation
    Jae Wan Park, Suhyun Kim, Geunrip Park, and Seong Jae Hwang†
    In IEEE International Symposium on Biomedical Imaging (ISBI), 2026
    Paper
  3. Study of a deep learning-based method for improving the spectral resolution of the spectral scanning hyperspectral imaging system via synthetic spectral image data
    Suhyun Kim*, Sera Jung*, and Jonghee Yoon†
    Journal of Physics D: Applied Physics, 2023
    Paper