About me
I am an Associate Professor in the Department of Applied Statistics at Chung-Ang University, South Korea. I received my Ph.D. in Statistics from the University of Wisconsin–Madison in 2014. Before joining Chung-Ang University in 2019, I worked as a postdoctoral researcher at the University of Minnesota and as a Staff Engineer at Samsung Research.
My research focuses on developing machine learning and deep learning methods for complex real-world data, particularly audio, biomedical signals, and biological sequences. I am especially interested in robust and interpretable AI, representation learning, and their applications to challenging problems in healthcare and audio understanding.
Research Interests
- Machine Learning & Deep Learning: Representation learning, robust and interpretable AI, and foundation models
- Audio & Speech AI: Audio deepfake detection, audio-language models, and acoustic event understanding
- Biomedical Signal Analysis: Deep learning for ECG, EEG, PCG, and wearable physiological signals
- Computational Biology & Biostatistics: Genomics, gene expression prediction, and statistical learning for biological data
Contact information
Il-Youp Kwak
Associate Professor
Department of Applied Statistics
College of Business & Economics
Chung-Ang University
84, Heukseok-ro, Dongjak-gu
Seoul 06974, Republic of Korea
Phone: +82-2-820-5390
Email: ilyoup.kwak at gmail dot com
Data Competitions
- [4th] Our team (, Dongjae Lee, Donggun Kim, Jeongbin You, Younghyuk Kim, Wuming Gong, Seungsang Oh and ) ranked 4th overall at the George B. Moody PhysioNet Challenge 2026, Screening for Cognitive Impairment During Sleep Studies. [ Challenge Results ]
- [Winner] Our CAU team (Hyun Jun Kim, , Yu Ra Kim, , Bo Eun Choi, Changwon Lim, ) ranked 1st place at the DCASE 2026 Challenge Task 5: Audio-Dependent Question Answering (ADQA). [ Challenge Results | Tech Report | Workshop Paper ]
- [3rd] Our CAU_KU team (Sanghyeok Chung, , Donggun Kim, , Jeongbin You, , Sunmook Choi, , Seungsang Oh, ) ranked 3rd place at the ICASSP 2026 challenge on Environmental Sound Deepfake Detection, Track 2. [ Challenge | Paper ]
- [3rd] Our CAU_KU team (, Sunmook Choi, , Sanghyeok Chung, , Seungsang Oh, ) ranked 3rd place at the IJCAI 2023 Challenge on Audio Deepfake Detection, Track 1.2 (fake audio detection track). [ Challenge | Paper ]
- [3rd] Our Unlock_DNA team (Wuming Gong, ) ranked 3rd place at the DREAM Challenge: Predicting gene expression using millions of random promoter sequences. [ Challenge Paper | Proformer Paper ]
- [3rd and 5th] Our CAU_UMN team (, Wuming Gong, and ) ranked 3rd in Heart Murmur Detection and 5th in clinical outcome prediction from phonocardiogram recordings at the George B. Moody PhysioNet Challenges. [ Challenge Results | Conference Paper | Journal Paper ]
- [3rd] Our CAU_KU team (, Sunmook Choi, and SeungSang Oh) ranked 3rd place at the ICASSP 2022 Grand Challenge on Audio Deepfake Detection, Track 1 (Low quality fake audio detection). [ Challenge | Paper ]
- [Winner] Our team ( and Wuming Gong) won both Subchallenges 2 and 3 of the Allen Institute Cell Lineage Reconstruction DREAM Challenge. [ Challenge Paper | DCLEAR Software ]