Undergraduate Research Assistant Recruitment (Fall 2026)
Our lab is recruiting undergraduate research assistants for the Fall 2026 semester. If you are interested in any of the …
Graduate Student Recruitment (Fall 2026)
The MACS Lab at Jeonbuk National University is looking for Master’s and PhD (Integrated) students for the Fall …
Undergraduate Research Assistant Recruitment (Spring 2026)
Our lab is recruiting undergraduate research assistants. If you are interested in at least one of the following topics, …
Medical AI & Computational Science
Welcome to the Medical AI & Computational Science Laboratory at Jeonbuk National University.
Medical AI
We expand diagnosis support, clinical workflows, and trustworthy AI applications based on medical data and deep learning.
Vision-Language Intelligence
We research interpretable AI by integrating medical images, text, and clinical information through multimodal learning.
Research to Product
We strengthen practical development capabilities to connect research results to real-world services and systems.
AI
Applying adaptive AI technologies to specialized fields such as Medical, Aerospace, and Contents.
Multi-modality
Developing core AI technologies in Vision & Language and applying them to various applications.
Medical Math
Performing statistical analysis and mathematical modeling for medical diseases and healthcare.
Contents
Developing and advancing AI-based technologies related to webtoons and media contents.
Development
Developing applications based on Full-Stack engineering.
Solution
Developing integrated solutions through the application of core AI technologies.
Notification (More...)
Our lab is recruiting undergraduate research assistants for the Fall 2026 semester. If you are interested in any of the following, please contact us by email or visit us.
The MACS Lab at Jeonbuk National University is looking for Master’s and PhD (Integrated) students for the Fall 2026 semester.
We welcome applications from those who wish to conduct research ranging from AI theory to practical applications and development.
News (More...)
We are excited to announce that our paper has been accepted to CVPR 2026: Yeongsu Kim, Seo-Yeon Choi, and Kyungsu Lee, “Human-Intervention Segmentation via Federated Intent Embedding and Multi-Mask Recommendation.”
We are excited to share that our paper has been accepted to AISTATS 2026: Seo-Yeon Choi, and Kyungsu Lee*, “TCP: Context-Aware Pooling via Top-k% Activation Selection,” Annual Conference on Artificial Intelligence and Statistics (AISTATS 2026).
We are delighted to announce that our paper has been accepted to CHI 2026: Seo-Yeon Choi, and Kyungsu Lee*, “Human-Centered Personalization in Radiology AI: Evaluating Trust, Usability, and Cross-Hospital Robustness,” ACM CHI Conference on Human Factors in Computing Systems (CHI 2026).
Congratulations! Sagang Hong, a Master’s student at MacsLAB, won the Best Poster Award at the 2025 Fall Conference of the Korean Society of Medical and Biological Engineering (KOSOMBE). This achievement recognizes his outstanding research presented at the conference held from November 6 to 8, 2025, at Inje University (Gimhae).
Last Publication (More...)
"PRIME: Ultra-Low-Rank Principal-Residual Model Merging,"
ACL 2026
(ACL 2026)
, 2026.
"Human-Intervention Segmentation via Federated Intent Embedding and Multi-Mask Recommendation,"
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026
(CVPR2026)
, 2026.
"Bayesian Multiclass Segmentation for Remote Sensing: Integrating User Priors and Uncertainty,"
IEEE Transactions on Geoscience and Remote Sensing
(TGRS)
, 2026.
"TCP: Context-Aware Pooling via Top-k% Activation Selection,"
Annual Conference on Artificial Intelligence and Statistics
(AISTATS2026)
, 2026.