Jaewon Jung

I am a graduate student in the Department of Artifical Intelligence at Yonsei University. My research interests are adversarial robustness and distributed learning. I enjoy boogaloo dance as a hobby.

Publication


    • Fast Adversarial Training with Dynamic Batch-level Attack Control
      • Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, and Jinho Lee
        DAC (Accepted), 2023

    • Pipe-BD: Pipelined Parallel Blockwise Distillation
      • Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, and Jinho Lee
        DATE (Accepted), 2023 , arXiv

    • Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
      • Jaeyong Song1, Jinkyu Yim1, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, and Jinho Lee
        ASPLOS (Accepted), 2023 , Paper , arXiv , GitHub


1 indicates co-first authors

Education


    • Yonsei University (September 2021 - Present)
      • M.S in Artificial Intelligence

    • Korea University (March 2017 - February 2021)
      • B.S in Statistics
        B.S in Financial Engineering (Interdisciplinary Program)

Experience


    • CJ Logistics (June 2021 - July 2021)
      • Internship
      • Job : IT strategy

    • Bucketplace, Co., Ltd (December 2020 - June 2021)
      • Full-time Data Analyst

    • Electronics and Telecommunications Research Institute (July 2020 - August 2020)
      • Research Trainee

    • MINDs and company (December 2019 - March 2020)
      • Intern

    • Republic of Korea Air Force (March 2017 - February 2019)
      • 2 years of Compulsory Military Service. Served as a sergeant.

Awards


    • LG Display AI & Big Data Competition (December 2022)
      • Excellence prize
      • Hosted by LG Display and Yonsei university

    • 2021 Data Creator Camp (October 2021)
      • Excellence prize
      • Hosted by National Information Society Agency (NIA)
  • Email: jungjaewon at yonsei dot ac dot kr