Jaehong Kim

Jay Kim, 김재홍

jaehong.jpg

jaehong950305@gmail.com | Google Scholar | LinkedIn | CV

Hi, I am a Ph.D. student in Intelligent Network Architecture Research Group at KAIST, advised by Prof. Dongsu Han.

My research interest lies in any computer systems or applications that are networked; Internet services, cloud, and systems for Artificial Intelligence. I focus on improving their performance to enhance the user experience with novel ideas.

I have worked on 1) applying neural enhancement to video streaming in a way that maximizes viewer experience and 2) designing a practical cell-scale scheduler for latency-sensitive traffic in 4G/5G networks.

Educations

  • Ph.D., School of Electrical Engineering, KAIST
    • Feb 2020 - Feb 2024 (Expected), Advisor: Dongsu Han
  • M.S., School of Electrical Engineering, KAIST
    • Aug 2018 - Feb 2020, Advisor: Dongsu Han
  • B.S., School of Electrical Engineering, KAIST
    • March 2014 - Aug 2018, Cum Laude

Publications

  1. CoNEXT
    Co-optimizing for Flow Completion Time in Radio Access Network
    Jaehong Kim, Yunheon Lee, Hwijoon Lim, Youngmok Jung, Song Min Kim, and Dongsu Han
    In Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies (CoNEXT) (To appear) Dec 2022
  2. SIGCOMM
    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. SIGCOMM
    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 ACM SIGCOMM 2020 Conference Aug 2020
  4. 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