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

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!
Oct 29, 2024 One paper was accepted to WACV 2025!

selected publications

  1. WACV
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    [C1] TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers
    Juhyeon Park*, Seokhyeon Jeong*, and Taesup Moon†
    In Proceedings of the Winter Conference on Applications of Computer Vision (WACV), Feb 2025
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  2. arXiv
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    [P1] DEAL: Decoupled Classifier with Adaptive Linear Modulation for Group Robust Early Diagnosis of MCI to AD Conversion
    Juhyeon Park*, Donggyu Lee*, and Taesup Moon†
    arXiv preprint arXiv:2411.10814, Feb 2024
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  3. ICLR
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    [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), Feb 2026
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  4. NeurIPSW
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    [W1] Processing fMRI Brain Signals Using Latents from Natural Image Autoencoders
    Juhyeon Park*, Peter Yongho Kim*, Jungwoo Park*, Jubin Choi, Jungwoo Seo, and 2 more authors
    In NeurIPS 2025 Workshop on Foundation Models for the Brain and Body, Feb 2025
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