publications

C: Conference, J: Journal, P: Preprint, *: Equal Contribution, †: Corresponding Author

2026

  1. [C4, W2] 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
    EMNLP 2026 Oral Presentation · NeurIPS 2026 TAE Workshop
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  2. [P1] SparSlice: Sparse Latent Slice Discovery for Vision Models
    Jin Park*, Jung Yoon Hwang*, Sangwon Jung , Juhyeon Park, and Taesup Moon†
    arXiv, 2026
  3. [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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  4. [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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  5. [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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2025

  1. [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, 2025
    Oral Presentation
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  2. [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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