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

GitHub  ·  Google Scholar

Portrait of Il-Youp Kwak

Data Competitions

  1. [4th] 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 overall at the George B. Moody PhysioNet Challenge 2026, Screening for Cognitive Impairment During Sleep Studies. [ Challenge Results ]
  2. [Winner] 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 Challenge Task 5: Audio-Dependent Question Answering (ADQA). [ Challenge Results | Tech Report | Workshop Paper ]
  3. [3rd] 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 place at the ICASSP 2026 challenge on Environmental Sound Deepfake Detection, Track 2. [ Challenge | Paper ]
  4. [3rd] Our CAU_KU team (So-Yul Han, Taein Kang, Sunmook Choi, Jaejin Seo, Sanghyeok Chung, Sumi Lee, Seungsang Oh, Il-Youp Kwak) ranked 3rd place at the IJCAI 2023 Challenge on Audio Deepfake Detection, Track 1.2 (fake audio detection track). [ Challenge | Paper ]
  5. [3rd] Our Unlock_DNA team (Wuming Gong, Byeong-Chan Kim, Juhyun Lee, and Il-Youp Kwak) ranked 3rd place at the DREAM Challenge: Predicting gene expression using millions of random promoter sequences. [ Challenge Paper | Proformer Paper ]
  6. [3rd and 5th] Our CAU_UMN team (Jungguk Lee, Taein Kang, Narin Kim, Soyul Han, Hyejin Won, Wuming Gong, and Il-Youp Kwak) 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 ]
  7. [3rd] Our CAU_KU team (Il-Youp Kwak, Jonghoon Yang, Yerin Lee, 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 ]
  8. [Winner] Our team (Il-Youp Kwak and Wuming Gong) won both Subchallenges 2 and 3 of the Allen Institute Cell Lineage Reconstruction DREAM Challenge. [ Challenge Paper | DCLEAR Software ]