* indicates correspondence
1 indicates co-first authors


  • It’s All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
    • Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee*
      CVPR, 2022, Selected for an oral presentation, arXiv, Github
      Top Conf. AI/ML
  • Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
    • Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee*
      NeurIPS, 2021, Paper, Github, Arxiv, Slides
      Top Conf. AI/ML
  • 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
  • Deep Composer Classification Using Symbolic Representation
    • Sunghyeon Kim1, Hyeyoon Lee1, Sunjong Park1, Jinho Lee*, Keunwoo Choi
      LBD@ISMIR, 2020, Paper, arXiv, Poster
      AI/ML
  • MUTE: Inter-Class Ambiguity Driven Multi-Hot Target Encoding for Deep Neural Network Design
    • Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
      DeepVision (Workshop@CVPR), 2020
      AI/ML
  • Simex: Express prediction of inter-dataset similarity by a fleet of autoencoders
    • Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
      arXiv preprint, 2020, arXiv
      AI/ML