* indicates correspondence
1 indicates co-first authors


  • Pipe-BD: Pipelined Parallel Blockwise Distillation
    • Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim and Jinho Lee*
      DATE (Accepted), 2023
      Top Conf. AI/ML Syst. SW
  • Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
    • Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee*
      DAC, 2022
      Top Conf. AI/ML Arch.
  • AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
    • Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars
      IJCAI, 2021, arXiv, Paper
      Top Conf. AI/ML
  • DANCE: Differentiable Accelerator/Network Co-Exploration
    • Kanghyun Choi1, Deokki Hong1, Hojae Yoon1, Joonsang Yu, Youngsok Kim, Jinho Lee*
      DAC, 2021, Paper, arXiv, Slides
      Top Conf. AI/ML Arch.