Juhyeon Park

IPAI, Seoul National University.

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I’m currently Ph.D. student studying AI at M.IN.D Lab.

Research Interests:

  • Brain + AI (Alzheimer's Disease Diagnosis, Brain Decoding, Multimodality)
    “Can AI help understand the brain? Can understanding of the brain advance AI?”
  • AI Safety (Debiasing, Fairness, Privacy)

You can reach me through “parkjh9229@snu.ac.kr”.

news

Mar 29, 2026 I started my research internship at MicrosoftMicrosoft Research Asia!
Feb 21, 2026 One paper was accepted to CVPR 2026!
Feb 19, 2026 One paper was accepted to Biomedical Signal Processing and Control (BSPC)!
Jan 26, 2026 One paper was accepted to ICLR 2026!
Dec 06, 2025 One paper was accepted as an oral paper at the NeurIPS 2025, Foundation Models for the Brain and Body NeurIPS 2025 Workshop, and I delivered the talk!

selected publications

  1. [C3] Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling?
    Peter Yongho Kim* , Juhyeon Park* , Jungwoo Park, Jubin Choi, Jungwoo Seo, and 2 more authors
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
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  2. [J1] Uncovering Group Robustness Issue in Early Diagnosis of MCI to AD Conversion and A Simple Solution: Decoupled Classifier with Adaptive Linear Modulation
    Juhyeon Park*, Donggyu Lee*, and Taesup Moon
    Biomedical Signal Processing and Control, 2026
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  3. [C2] SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
    Juhyeon Park*, Peter Yongho Kim*, Jiook Cha, Shinjae Yoo, and Taesup Moon†
    International Conference on Learning Representations (ICLR), 2026
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  4. [C1] TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers
    Juhyeon Park*, Seokhyeon Jeong*, and Taesup Moon†
    In The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
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