Youngmok Jung

tom418@kaist.ac.kr | Google Scholar | CV

Youngmok Jung

I am a PhD candidate at INA lab, KAIST advised by Dongsu Han. Before then, I received my BS degree in Electrical Engineering in KAIST, South Korea.

My research interests is focused in redesigning system using ML/AI approach. Recently, I have been coworking with bioinformaticians to design new software for Next-generation sequencing. In the past, I worked on various topics in image super-resolution based on neural network and video delivery system.

Awards and Honors

Feb, 2022 SAMSUNG PhD Scholarship :smile:
Spring, 2021 KAIST Breakthrough of the Year 2021, Spring (LiveNAS, NEMO)

Selected Publications

  1. Bioinformatics
    BWA-MEME: BWA-MEM emulated with a machine learning approach
    Youngmok Jung and Dongsu Han
    Oxford Bioinformatics, 2022
    SIGCOMM
    LiveNAS - Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning
    Jaehong Kim, (Co-first)Youngmok Jung, Hyunho Yeo, Juncheol Ye and Dongsu Han
    In Proceedings of ACM SIGCOMM conference, 2020

    Publications

    1. SIGCOMM
      Engorgio: Neural Video Enhancement at Scale
      Hyunho Yeo, Hwijoon Lim, Jaehong Kim, Youngmok Jung, Juncheol Ye, and Dongsu Han
      In Proceedings of ACM SIGCOMM conference, 2022
      EuroSys
      Towards Timeout-less Transport in Commodity Datacenter Networks
      Hwijoon Lim, Wei Bai, Yibo Zhu, Youngmok Jung and Dongsu Han
      The 16th European Conference on Computer Systems, 2021
      Mobicom
      NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices
      Hyunho Yeo, Chan Ju Chong, Youngmok Jung, Juncheol Ye and Dongsu Han
      The 26th Annual International Conference on Mobile Computing and Networking, 2020
      OSDI
      Neural Adaptive Content-aware Internet Video Delivery
      Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, and Dongsu Han
      13th USENIX Symposium on Operating Systems Design and Implementation, 2018