Hyunho Yeo

hyunho.yeo@kaist.ac.kr | Google Scholar | Linkedin | CV


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)

  1. CVPR
    AccelIR: Task-aware Image Compression for Accelerating Neural Restoration
    Juncheol Ye,  Hyunho Yeo, Jinwoo Park, and Dongsu Han
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2023
    NeuroScaler: Neural Video Enhancement at Scale
    Hyunho Yeo, Hwijoon Lim, Jaehong Kim, Youngmok Jung, Juncheol Ye, and Dongsu Han
    In Proceedings of the ACM SIGCOMM 2022 conference Aug 2022
  3. MobiCom
    NEMO: Enabling Neural-Enhanced Video Streaming on Commodity Mobile Devices
    Hyunho Yeo, Chan Ju Chong, Youngmok Jung, Juncheol Ye, and Dongsu Han
    In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking Aug 2020
    Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning
    Jaehong Kim^, Youngmok Jung^,  Hyunho Yeo, Juncheol Ye, and Dongsu Han
    In Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication Aug 2020
  5. OSDI
    Neural Adaptive Content-aware Internet Video Delivery
    Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, and Dongsu Han
    In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) Oct 2018