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2 papers have been accepted to BIBM 2026
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2 papers have been accepted to BIBM 2026

Congratulations!!! Adrian’s and Ah-Young’s respective papers have been accepted for presensation at BIBM2026. Adrian Ayuso-Munoz, Da-Woon Heo, and Heung-Il Suk, “HIFC: Hypergraph Topology Inference from Functional Connectivity,” BIBM 2026. Ah-Yeong Jeong and Heung-Il Suk, “TopoMamba: Geometry-Attentive Re-referencing and Spatially Conditioned Mamba for Motor Imagery Decoding,” BIBM 2026.

Accepted to MICCAI 2025
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Accepted to MICCAI 2025

Congratulations!!! Hannah’s work on “Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation” is accepted for presentation at MICCAI2025.  Hannah Yun, Junyeong Maeng, Eunsong Kang, Heung-Il Suk, “Diff-RRG: Longitudinal Disease-wise Patch Difference as Guidance for LLM-based Radiology Report Generation,” MICCAI, 2025 (Accepted).

Accepted to IJCAI2025
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Accepted to IJCAI2025

Congratulations!!! Jee Seok’s work on “ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization” has been accepted to present at IJCAI2025 (Acceptance rate: 19.3%). Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk, “ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization,” International Joint Conference on Artificial Intelligence (IJCAI), 2025. (Accepted)

Accepted to OHBM2025
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Accepted to OHBM2025

Congratulations! Jaehyun’s work on “Parameter-Efficient Fine-Tuning Adapts EEG Foundation Models to Downstream Tasks Effectively” has been accepted to present at OHBM2025. Jaehyun Jeon, Seungwoo Jeong, Heung-Il Suk, “Parameter-Efficient Fine-Tuning Adapts EEG Foundation Models to Downstream Tasks Effectively,” OHBM, 2025.