Congratulations!!! Kwanseok and Yooseung’s paper on “DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer’s Disease Prediction”...
Welcome to the Machine Intelligence Lab. (MILab)
The Machine Intelligence Laboratory is focusing on researches on developing machine learning and deep learning methods to investigate and analyze patterns inherent in various forms of data with their application to medical/computer vision, brain-computer interfaces, healthcare, and neuroinformatics.
Lab’s latest news
2 papers have been accepted to CIKM 2026
Congratulations!!! 2 papers have been accepted to CIKM 2026.
![[GARL Challenge 2026] 맹준영, 황유환, 박주은 우수팀 선정](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2026/06/GARL-580x366.png "GARL")
[GARL Challenge 2026] 맹준영, 황유환, 박주은 우수팀 선정
Congratulations!!! Junyeong, Yoohwan, and Jueun received the Excellence Award at the GARL Challenge 2026. Frequency-Aware Neural Disentanglement for Progressive Brain...
Junghyo’s paper accepted to IJCAI2026
Congratulations!!! Junghyo’s work on “Causal Manifold Transport for Identifiable Causal Generation in Diffusion Models” has been accepted for presentation at...
Prof. Heung-Il Suk has been appointed Associate Editor of IEEE Transactions on Medical Imaging.
Congratulations!!! Prof. Suk has been appointed as an Associate Editor of IEEE Transactions on Medical Imaging (2024-JCR-IF: 9.8), a leading...
Do-Yeon’s Paper accepted to npj Climate and Atmospheric Science
Congratulations!!! Do-Yeon’s paper on “SIGMAformer: a spatiotemporal Gaussian mixture correlation transformer for global weather forecasting,” has been accepted for publication in npj Climate and Atmospheric Science. Do-Yeon Kim and Heung-Il Suk, “SIGMAformer: a Spatiotemporal Gaussian Mixture Correlation Transformer for Global Weather Forecasting,” npj Climate and Atmospheric Science, 2026 (Accepted)
Kwanseok and Jieun’s paper accepted to Pattern Recognition
Congratulations!!! Kwanseok and Jieun’s work on “Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging” has been...
Wootaek and Junghyo’s paper has been accepted to ICLR2026
Congratulations!!! Wootaek and Junghyo’s paper on “Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing” has been accepted for presentation...