Welcome to Deep Learning & Big Data Systems Lab

In Deep Learning & Big Data Systems Lab, we investigate programmability, scalability,  manageability, and performance of deep learning & big data systems. We study improving existing deep learning systems such as Tensorflow or PyTorch, as well as big data systems such as Hadoop. We investigate various trade-offs (such as performance and accuracy) in existing systems. We also work on security aspect of deep learning models and systems. See Research Page for the (partial) list of research projects.

Research Topics include  (연구 주제):
  • Large-Scale Deep Learning System     대용량 딥 러닝 시스템
  • Deep Learning System Security           딥러닝 시스템 보안
  • Trade-Offs in Deep Learning Model    딥러닝 모델 트레이드 오프 (성능/정확도)
  • Big Data Systems                                빅 데이터 시스템
  • 자세한 내용은 Research Page 참고

  • NEW: 7월 8일, 7월 13일에 딥러닝 시스템 워크샵/튜토리얼을 합니다. 자세한 내용은 링크를 클릭하세요.
  • NEW: Our lab has two papers accepted to top-tier conferences; one to EuroSys 2020 and another to DAC 2020. Congrats to the authors!
  • Prof. Seo is invited to serve as a program committee member for SIGIR, a premier conference in information retrieval.
  • 2020년 여름 및 그 이후 기간에 대해서 학부 인턴 및 석/박사 학생을 선발합니다. 관심있는 학생은 서지원 교수에게 연락을 주세요.(lastname firstname @ hanyang.ac.kr [seojiwon])

Our work presented in EuroSys 2020. EuroSys is a premier conference in computer systems.