CAU ET

News

Research & achievements
  1. 4th Place Our CAU_KU team (Nahyun Lee, Taehwan Kim, Taeyoung Kang, Dongjae Lee, Donggun Kim, Jeongbin You, Younghyuk Kim, Wuming Gong, Seungsang Oh and Il-Youp Kwak) ranked 4th place on Screening for Cognitive Impairment During Sleep Studies: The George B. Moody PhysioNet Challenge 2026 at the George B. Moody PhysioNet Challenges 2026.
  2. Jungchan Ryu, Il-Youp Kwak (2026). A Controlled Benchmark of Pretrained Speech Representations, Acoustic Features, and Classifiers for ALS Speech Assessment. The Korean Journal of Applied Statistics, Accepted.
  3. Nahyun Lee, Guijin Son, Hyunwoo Ko, Chanyoung Kim, JunYoung An, Kyubeen Han, Youngjae Yu, Il-Youp Kwak (2026). KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context. 6th Multilingual Representation Learning Workshop (EMNLP 2026 Workshop), Accepted.
  4. Chaerin Song, Jungchan Ryu, Chaerin Lee, Minsu Kim, Il-Youp Kwak (2026). A Deep Learning Approach Using Hybrid Features for ALS Severity Prediction from Speech. The Korean Journal of Applied Statistics, 39(4), 401–417. [pdf]
  5. Sanghyeok Chung, Seungsang Oh, Donggun Kim, Jeongbin You, Il-Youp Kwak, Eujin Kim, Heo Gaeun, Nahyun Lee, Sunmook Choi, Soyul Han (2026). BEAT2AASIST: BEATs Feature Splitting with Dual-Branch AASIST for Environmental Sound Deepfake Detection. IJCAI-ECAI 2026, Bremen, Germany. [Code | pdf]
  6. Hyuno Im, Nahyun Lee, Taeyoung Kang, Taehwan Kim, Donggun Kim, Dongjae Lee, Seungsang Oh, Wuming Gong and Il-Youp Kwak (2026). Auxiliary-conditioned cross-attention with physiologically interpretable features for Chagas disease detection from 12-lead ECGs. Physiological Measurement, 47(7), 075014. [Link]
  7. 1st Place · DCASE 2026 Task 5 Our CAU team (Hyun Jun Kim, Byeongchan Kim, Jung Chan Ryu, Yu Ra Kim, Yuri Oh, Bo Eun Choi, Changwon Lim, Il-Youp Kwak) ranked 1st place at the DCASE 2026 Audio-Dependent Question Answering Challenge. [Results | Tech Report]
  8. Sanghyeok Chung, Eujin Kim, Donggun Kim, Gaeun Heo, Jeongbin You, Nahyun Lee, Sunmook Choi, Soyul Han, Seungsang Oh, Il-Youp Kwak (2026). BEAT2AASIST Model with Layer Fusion for ESDD 2026 Challenge. ICASSP 2026, Barcelona, Spain. [Link | Code | pdf]
  9. Narin Kim, Sumi Lee, Sojung Jang, Juhyun Lee, Il-Youp Kwak (2026). Sound Event Detection System with Frequency-Aware Enhancements and Semi-Supervised Learning. IEEE Access, 14. [Link]
  10. Hyuno Im, Nahyun Lee, Taeyoung Kang, Taehwan Kim, Donggun Kim, Donggyu Lee, Seungsang Oh, Wuming Gong and Il-Youp Kwak (2025). ResNet-BiGRU with Conditioned Query-Based Cross-Attention and Weighted Loss for Automated Chagas Disease Detection from 12-Lead ECG. CinC 2025, São Paulo, Brazil. [pdf]
  11. 3rd Place · ICASSP Challenge Our CAU_KU team (Sanghyeok Chung, Eujin Kim, Donggun Kim, Gaeun Heo, Jeongbin You, Nahyun Lee, Sunmook Choi, Soyul Han, Seungsang Oh, Il-Youp Kwak) ranked 3rd in the Environmental Sound Deepfake Detection Challenge, Track 2. [Link]
  12. 4th Place · ICASSP Challenge Our CAU team (Chae-Rin Song, Jung-Chan Ryu, Chae-Rin Lee, Min-Su Kim, Il-Youp Kwak) ranked 4th in the Speech Analysis for Neurodegenerative Diseases Challenge, Track 2.
  13. Seungeun Lee, Sunmook Choi, Taein Kang, Sanghyeok Chung, Soyul Han, Jaejin Seo, Seoyoung Park, Eujin Kim, Seungsang Oh, Il-Youp Kwak (2025). iWAX: interpretable Wav2vec-AASIST-XGBoost framework for voice spoofing detection. Scientific Reports, 15, 40491. [Link | pdf]
  14. Seoyoung Park, Il-Youp Kwak (2025). Impact of neural-vocoder-generated spoofed speech on spoofing-detection performance. The Korean Journal of Applied Statistics, 38(5), 679–692. [pdf]
  15. Chaerin Song, Nahyun Lee, Il-Youp Kwak (2025). Benchmarking Deep Learning vs. Traditional Machine Learning on Biomedical Tabular Data. Journal of The Korean Data Analysis Society, 27(5), 1501–1515. [pdf]
  16. Rafi AM et al., including Il-Youp Kwak, Byeong-Chan Kim, Juhyun Lee, Taein Kang (2025). A community effort to optimize sequence-based deep learning models of gene regulation. Nature Biotechnology, 43(8), 1373–1383. [PubMed | pdf]
  17. Byeongchan Kim, Heemin Kim, Minjung Kang, Hyunjee Nam, Sunghwan Park, Jaewoo Lee, Il-Youp Kwak (2025). OD-SHIELD: Convolutional Autoencoder-based Defense against Adversarial Patch Attacks in Object Detection. IEEE Access, 13, 98242–98252. [Link]
  18. Hyunjee Nam, Minjung Kang, Sunghwan Park, Il-Youp Kwak, Jaewoo Lee (2025). A Benchmark of Unlearnable Examples for Medical Images. PPAI-25, AAAI Workshop on Privacy-Preserving Artificial Intelligence, Philadelphia, USA.
  19. Soyul Han, Jaejin Seo, Sunmook Choi, Taein Kang, Sanghyuk Chung, Seungeun Lee, Seoyoung Park, Seungsang Oh, Il-Youp Kwak (2025). Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation. Engineering Science and Technology, an International Journal, 63, 101972. [Link]

For earlier announcements (2020–2024), see the original news archive.