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My research focuses on reliable and resource-efficient AI, spanning physics-informed learning and optimization, active sensing, and efficient LLM inference. I develop methods for optimizing how information is acquired, selected, and utilized under computational and measurement constraints, with applications to inverse problems, medical imaging, and language models. More broadly, I am interested in extending these principles toward multimodal and generative AI, with an emphasis on robust learning, adaptive decision-making, and efficient inference.
Work Experience
Work Experience
Korea University
Department of Artificial Intelligence, Seoul, South Korea (2025.11 ~ present)
Postdoctoral Researcher
Advisor: Hyunseok Seo
KIST (Korea Institute of Science and Technology)
Bionic Reserach Center, Seoul, South Korea (2024.03 ~ 2025.10)
Postdoctoral Researcher
Advisor: Hyunseok Seo
Johns Hopkins University School of Medicine
Department of Radiology, Baltimore, Maryland, USA (2022.12 ~ 2023.01)
Visiting scholar
Advisor: Hye-Young Heo
Education
Education
KAIST
Daejeon, South Korea (2019.02 ~ 2024.02)
Ph.D. and M.S. in Electrical Engineering
Advisor: HyunWook Park
KAIST
Daejeon, South Korea (2013.03 ~ 2019.02)
B.S. in Electrical Engineering and Bio & Brain Engineering
Pre-prints
Pre-prints
Risk-Controlled KV-Cache Eviction: From Memory Budgets to Risk Targets [arXiv].
Beomgu Kang, SoJin Yun, Hojoon Kim, Hyunseok Seo
Journals
Journals
Unleashing the potential of saturation-transfer MR fingerprinting (ST-MRF) in neuro-oncology: quantitative molecular CEST and MTC mapping
Sultan Z. Mahmud, Beomgu Kang, Kevin Ju, Ji Eun Park, Doris D.M. Lin, Ouri Cohen, Christian T. Farrar, Or Perlman, and Hye-Young Heo
Magnetic Resonance Materials in Physics, Biology and Medicine, 2026. [Accepted]Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models
Beomgu Kang, Munendra Singh, Hyunseok Seo, Hyun Wook Park and Hye-Young Heo
Physics in Medicine and Biology (PMB), 2026.Saturation transfer MR fingerprinting (ST-MRF) for MTC and CEST quantification
Munendra Singh, Beomgu Kang, Sultan Z. Mahmud, Peter van Zijl, Jinyuan Zhou, Hye-Young Heo
Magnetic Resonance in Medicine (MRM), 2025.Self-supervised learning for denoising of multidimensional MRI data.
Beomgu Kang, Wonil Lee, Hyunseok Seo, Hye-Young Heo, and HyunWook Park
Magnetic Resonance in Medicine (MRM), 2024. [code]
A noise robust image reconstruction using slice aware cycle interpolator network for parallel imaging in MRI.
Jeewon Kim, Wonil Lee, Beomgu Kang, Hyunseok Seo, and HyunWook Park
Medical Physics, 2024.Only-train-once MR Fingerprinting for B0 and B1 Inhomogeneity correction in quantitative magnetization-transfer contrast
Beomgu Kang, Munendra Singh, HyunWook Park, and Hye-Young Heo
Magnetic Resonance in Medicine (MRM), 2023. [Editor’s Pick in July 2023] [Top 10% of most-viewed papers in 2023]Learning-based optimization of acquisition schedule for magnetization transfer contrast MR fingerprinting
Beomgu Kang, Byungjai Kim, HyunWook Park, and Hye-Young Heo
NMR in Biomedicine, 2022.Unsupervised learning for magnetization transfer contrast MR fingerprinting: Application to CEST and nuclear Overhauser enhancement imaging
Beomgu Kang, Byungjai Kim, Michael Schär, HyunWook Park, and Hye-Young Heo
Magnetic Resonance in Medicine (MRM), 2021. [Editor’s Pick in April 2021] [Top cited article 2021-2022]
Selected AI Conferences
Selected AI Conferences
Not All Instances Should Contribute Equally: Sparse Support Grounding via Unbalanced Transport for Heterogeneous MIL.
Hojoon Kim, Beomgu Kang, Hyunseok Seo
International Conference on Neural Information Processing Systems (NeurIPS), 2026.Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling.
Beomgu Kang, Hyunseok Seo
International Conference on Learning Representations (ICLR), 2026. [code]
Multi-modal Characteristic Guided Depth Completion Network.
Yongjin Lee, Seokjun Park, Beomgu Kang, and HyunWook Park
Asian Conference on Computer Vision (ACCV), 2022.Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification
Beomgu Kang, Hye-Young Heo, and HyunWook Park
International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2022. [Early accept: top 13%]
Other Conferences and Workshops
Other Conferences and Workshops
Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol Optimization
Beomgu Kang, Hye-Young Heo, Hyunseok Seo
ICML AI for Physics Workshop, 2026.Deep Probabilistic Multishell Undersampling for Diffusion Spectrum Imaging
Beomgu Kang, Hyunseok Seo
International Society of Magnetic Resonance in Medicine (ISMRM), 2026.Optimization of acquisition schedules and correction of B0 and B1 field inhomogeneities in saturation transfer MR fingerprinting (ST-MRF)
Beomgu Kang, Munendra Singh, Hyunseok Seo, HyunWook Park, and Hye-Young Heo
International Society of Magnetic Resonance in Medicine (ISMRM), 2025.Self-supervised deep learning model for denoising and distortion correction in accelerated echo planar imaging
Jeewon Kim, Beomgu Kang, HyunWook Park, and Hyunseok Seo
International Society of Magnetic Resonance in Medicine (ISMRM), 2025.Only-Train-Once MR Fingerprinting for B0 and B1 Inhomogeneity Correction in Quantitative Magnetization Transfer Contrast.
Beomgu Kang, Munendra Singh, Hye-Young Heo, and HyunWook Park
International Society of Magnetic Resonance in Medicine (ISMRM), 2023. [Oral]A noise-robust accelerated MRI reconstruction using CycleGAN
Seonghyuk Kim, Wonil Lee, Namho Jeong, Jeewon Kim, Jongyeon Lee, Beomgu Kang, and HyunWook Park
International Society of Magnetic Resonance in Medicine (ISMRM), 2023. [Power Pitch]A noise robust image reconstruction deep neural network with cycle interpolation
Jeewon Kim, Wonil Lee, Beomgu Kang, Seohee So, and HyunWook Park
International Society of Magnetic Resonance in Medicine (ISMRM), 2023.Constraint function for IVIM quantification using unsupervised learning.
Wonil Lee, Beomgu Kang, Jongyeon Lee, Georges El Fakhri, Chao Ma, Yeji Han, Jun-Young Chung, Young Noh, and HyunWook Park
International Society of Magnetic Resonance in Medicine (ISMRM), 2023.Brain tumor segmentation using out-of-distribution feature from normal MR images
Namho Jeong, Beomgu Kang, and Hyunwook Park.
International Society of Magnetic Resonance in Medicine (ISMRM), 2023.Learning-based prediction of encoding capability for acquisition schedule of Magnetization Transfer Contrast MR fingerprinting
Beomgu Kang, Hye-Young Heo, and HyunWook Park.
International Society of Magnetic Resonance in Medicine (ISMRM), 2022.Learning-based Optimization of Acquisition Schedule for Magnetization Transfer Contrast MR Fingerprinting
Beomgu Kang, Byungjai Kim, Hye-Young Heo, and HyunWook Park
International Society of Magnetic Resonance in Medicine (ISMRM), 2021. [Oral] [Summa Cum Laude]Unsupervised Deep Learning-based Magnetization Transfer Contrast (MTC) MR Fingerprinting and CEST MRI
Beomgu Kang, Byungjai Kim, Michael Schär, HyunWook Park, and Hye-Young Heo
International Society of Magnetic Resonance in Medicine (ISMRM), 2020. [Power Pitch]
Review services
Review services
Conference Reviewing: AAAI; ICML (2026 Silver Reviewer); ICLR; NeurIPS; ISMRM
Journal Reviewing: Magnetic Resonance in Medicine (MRM); Transactions on Machine Learning Research (TMLR)
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