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Woohyeok Choi

Department of Artificial Intelligence, Korea University woohyeok_choi@korea.ac.kr

AI Researcher - Neural Engineering - Brain Decoding / AI in Epilepsy

About

I am a Ph.D. candidate in the Department of Artificial Intelligence at Korea University.

My research lies at the intersection of machine learning, neural engineering, and clinical neuroscience, with a particular focus on AI for epilepsy and brain decoding.

I develop machine-learning methods for biomedical signals with the goal of advancing neural engineering research and translating these approaches into practical clinical decision-support workflows.
I am always happy to connect with others who share similar research interests. Please feel free to reach out.

News

Selected for the 2027 University of Toronto AI Convergence Education Program

Selected as a visiting trainee for the six-month AI convergence program at the University of Toronto, administered by Sogang University's Global AI Education Center with support from IITP and the Ministry of Science and ICT.

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Research updates, publications, awards, and patent records are being organized here.

Selected Papers

Deep convolutional gated recurrent unit seizure prediction paper

Deep convolutional gated recurrent unit combined with attention mechanism to classify pre-ictal from interictal EEG with minimized number of channels

  • Journal of Personalized Medicine
  • 2022
  • Seizure Prediction
  • IF 4.9
EEG-based epileptic seizure prediction paper

EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning

  • Artificial Intelligence in Medicine
  • 2026
  • Seizure Prediction
  • IF 6.2
SeeEEG paper

SeeEEG: Semantic-aware EEG-based Multi-Modal Retrieval-Augmented Generation for High-Fidelity Visual Brain Decoding

  • IEEE/CVF International Conference on Computer Vision Workshops (ICCV/W)
  • 2025
  • Visual Brain Decoding

Publications

  1. 2026

    Subject-Invariant EEG Embeddings via Mixup and Adversarial Learning for Semantic Retrieval

    Woohyeok Choi, Jun-Mo Kim, Songha Kim, Yebin Choi, Tae-Eui Kam

    Conference ACM/SIGAPP Symposium on Applied Computing (SAC) PDF

  2. 2026

    CroSS: Cross-subject Visual Brain Decoding via Soft Alignment and Subject-aware Batch Normalization

    Jun-Mo Kim, Woohyeok Choi, Yebin Choi, Songha Kim, Tae-Eui Kam

    Conference ACM/SIGAPP Symposium on Applied Computing (SAC) Honorable Mention · AI & Agents PDF

  3. 2026

    Learning from Perceptual to Semantic Visual Representations of the Brain via Multi-Level EEG-to-Image Alignment

    Yebin Choi, Woohyeok Choi, Jun-Mo Kim, Songha Kim, Tae-Eui Kam

    Conference IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) PDF

  4. 2026

    Confidence-Aware Adaptive Semi-Supervised Approach for Reliable EEG-Based Emotion Recognition

    Songha Kim, Soyeon Bak, Jun-Mo Kim, Woohyeok Choi, Yebin Choi, Tae-Eui Kam

    Conference IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) PDF

  5. 2026

    Rethinking the Underexplored Role of Vision Encoder Selection in EEG-Based Visual Decoding

    Yebin Choi, Jun-Mo Kim, Woohyeok Choi, Songha Kim, Tae-Eui Kam

    Conference International Conference on Brain-Computer Interface (BCI) PDF

  6. 2026

    Define-Align-Fuse: Dual-Stream EEG-Vision Alignment using Hierarchical CLIP Representation

    Chang-Min Lee, Jun-Mo Kim, Yebin Choi, Woohyeok Choi, Tae-Eui Kam

    Conference International Conference on Brain-Computer Interface (BCI) PDF

  7. 2026

    RegionFormer: A Region-Guided Transformer for Patient-Independent Seizure Prediction using EEG

    Woohyeok Choi, Jun-Mo Kim, Yebin Choi, Songha Kim, Youmin Shin, Kyung-Il Park, Young-Gon Kim, Tae-Eui Kam

    Conference International Conference on Brain-Computer Interface (BCI) PDF

  8. 2026

    EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning

    Woohyeok Choi✝, Jun-Mo Kim✝, Hyeonyeong Nam, Soyeon Bak, Dong-Hee Shin, Tae-Eui Kam

    Journal Artificial Intelligence in Medicine PDF

  9. 2025

    Source-driven enhanced semantic style transfer for addressing BCI illiteracy in subject-independent EEG-based motor imagery classification

    Ji-Wung Han, Dong-Hee Shin, Chang-Hoon Ji, Deok-Joong Lee, Jun-Mo Kim, Woohyeok Choi, Ji-Hye Oh, Sanghyeon Cho, Young-Han Son, Tae-Eui Kam

    Journal Applied Soft Computing PDF

  10. 2025

    FBFU-Net: Flow Branches Fusion U-Net for predicting flow fields around buildings

    Woohyeok Choi, Sanguk Hwang, Sang Ryul Park, Seok Hyun Choi, Hyang Ha Lee, Chan Jong Wang, Minjae Shin, Byungjoon Lee

    Journal Knowledge-Based Systems PDF

  11. 2025

    Group-wise Compression and Summarization via LLM-based Ensemble for Chest X-ray Report Generation

    Sang-Jun Park, Keun-Soo Heo, Bogyeong Kang, Minjoo Lim, Woohyeok Choi, Tae-Eui Kam

    Conference Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) PDF

  12. 2025

    Curriculum Learning with Sampling Scheduler for Imbalanced EEG-Based Seizure Detection

    Woohyeok Choi, Jun-Mo Kim, Hyeonyeong Nam, Tae-Eui Kam

    Conference International Conference on Brain-Computer Interface (BCI) PDF

  13. 2025

    Visual Decoding Using a Learnable Wavelet-Based Spatial-Spectral-Temporal EEG Embedding

    Yebin Choi, Jun-Mo Kim, Woohyeok Choi, Chang-Hoon Ji, Ji-Hye Oh, Tae-Eui Kam

    Conference International Conference on Brain-Computer Interface (BCI) PDF

  14. 2025

    SeeEEG: Semantic-aware EEG-based Multi-Modal Retrieval-Augmented Generation for High-Fidelity Visual Brain Decoding

    Jun-Mo Kim✝, Woohyeok Choi✝, Sang-Jun Park, Keun-Soo Heo, Young-Han Son, Ji-Hye Oh, Dong-Hee Shin, Tae-Eui Kam

    Conference IEEE/CVF International Conference on Computer Vision Workshops (ICCV/W) PDF

  15. 2024

    정보집약적인 동작 상상 뇌파 분류를 위한 Layer-wise Relevance Propagation 기반 채널 가지치기

    Woohyeok Choi, Hyeonyeong Nam, Jun-Mo Kim, Soyeon Bak, Tae-Eui Kam

    Conference 한국정보과학회 학술발표논문집 PDF

  16. 2024

    META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces

    Ji-Wung Han, Soyeon Bak, Jun-Mo Kim, Woohyeok Choi, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam

    Journal Expert Systems with Applications PDF

  17. 2024

    Meta-learning-based cross-dataset motor imagery brain-computer interface

    Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, Woohyeok Choi, Tae-Eui Kam

    Conference International Winter Conference on Brain-Computer Interface (BCI) PDF

  18. 2023

    SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification

    Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, Woohyeok Choi, Da-Hyun Kim, Tae-Eui Kam

    Conference IEEE International Conference on Systems, Man, and Cybernetics (SMC) PDF

  19. 2023

    The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasets

    Hyeonyeong Nam, Jun-Mo Kim, Woohyeok Choi, Soyeon Bak, Tae-Eui Kam

    Journal Frontiers in Human Neuroscience PDF

  20. 2022

    A comparative study on the influence of undersampling and oversampling techniques for the classification of physical activities using an imbalanced accelerometer dataset

    Dong-Hwa Jeong, Se-Eun Kim, Woohyeok Choi, Seong-Ho Ahn

    Journal Healthcare PDF

  21. 2022

    Deep convolutional gated recurrent unit combined with attention mechanism to classify pre-ictal from interictal EEG with minimized number of channels

    Woohyeok Choi, Min-Jee Kim, Mi-Sun Yum, Dong-Hwa Jeong

    Journal Journal of Personalized Medicine PDF

Projects, Awards & Patents

Projects & Awards

Patents