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)
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
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...
2 papers have been accepted to ISBI 2026
Congratulations!!! Ha-Eun and Seunghee’s papers have been accepted for presentation at ISBI 2026.
Accepted to BCI 2026
Congratulations!!! Sangmin’s work on “Why Go Heavy? Rethinking Visual Information Reduction in EEG-to-Image Alignment” has been accepted for presentation in...
Ah-Young and Da-Woon’s paper accepted to MedIA
Congratulations!!! Ah-Young and Da-Woon’s work on “Complex Wavelet-Based Transformer for Neurodevelopmental Disorder Diagnosis via Direct Modeling of Real and Imaginary...
Sangmin’s paper accepted to AAAI2026
Congratulations!!! Sangmin’s work on “HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment” has been accepted for presentation at AAAI, 2026. Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, and Heung-Il Suk,...
Yeajin’s paper accepted to IEEE-TMI
Congratulations! Yeajin’s work on “Explainable Normative Modeling for Brain Disorder Identification in Resting-State fMRI” has been accepted for publication to...