Hyunho Yeo

I am a final-year Ph.D. student in Electrical Engineering at KAIST, advised by Professor Dongsu Han. During my Ph.D., I have worked on ML systems and published papers at top-tier system conferences such as OSDI, SIGCOMM, and MobiCom. Through my research, I have honed my skills in designing large-scale ML systems, optimizing the cost of expensive ML models, and utilizing various ML frameworks such as PyTorch, TensorFlow, and TensorRT to implement end-to-end systems. Before that, I obtained a BS degree in Electrical Engineering from KAIST in South Korea.
selected publications (see all)
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CVPRAccelIR: Task-aware Image Compression for Accelerating Neural RestorationIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2023
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SIGCOMMNeuroScaler: Neural Video Enhancement at ScaleIn Proceedings of the ACM SIGCOMM 2022 conference Aug 2022