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Profile 🌱

Name: Sooyeon Shim (Christine)

Education

  • Master: Artificial Intelligence, Seoul National Univ.
  • Bachelor: Computer Engineering, Inha Univ.

Papers

  • Model-Agnostic Augmentation for Accurate Graph Classification (WWW'22)
  • Accurate open-set recognition for memory workload (TKDD'23)
  • Fast and accurate interpretation of workload classification model (PLOS ONE'23)
  • Accurate graph classification via two-staged contrastive curriculum learning (PLOS ONE'23)

Experience

  • Analyzing and optimizing the memory usage of LLMs
  • Designing and training a code-converting model based on LLaMa
  • Constructing a dataset for code generation and transformation

Interest

  • Graph Mining
  • Natural Language Processing
  • Machine Learning

Projects

  • Hanium ICT mentoring (Speech-To-Text, Back-end)
  • Software Maestro 10th (Front-end, Back-end)
  • Boost course iOS

Skills

  • Machine Learning: Pytorch, Megatron, DeepSpeed
  • Programming Languages: Python, C++

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