Juhyeon Park

IPAI, Seoul National University.

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

Aug 21, 2026	One paper was accepted to EMNLP 2026!
Mar 29, 2026	I started my research internship at Microsoft 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!

selected publications

[C4] PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset

Sumin Yu^* , Juhyeon Park^*, and Taesup Moon^†

The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026

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[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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[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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[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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[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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