Hongsun Jang

I am a graduate student in the Department of Electrical and Computer Engineering at Seoul National University. My research interests are mainly focusing on distributed learning and building efficient neural network architecture with neural architecture search (NAS).

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
  • Email: hongsun.jang@snu.ac.kr
  • Github: github.com/hongsunjang
  • CV : CV