Educational Background

Research Interests

  • Artificial Intelligence

    • Graph Convolutional Network

      • Spatio-Temporal GCN

      • Diffusion equation on Graph

    • Neural ODEs/CDEs/RDEs

    • Recommender Systems

      • Graph-based Collaborative Filtering

      • Sequential Recommender Systems

  • Software Engineering

    • Software Defect Prediction

      • Automotive Software Cross-Project Defect Prediction

      • Cross-Version Defect Prediction

      • Software Defect Regression

      • Bayesian Optimization Framework for Cross-Version Defect Prediction with Selective Transfer Learning

      • Domain Adaptation / Transfer Learning for Cross-Project/Version Defect Prediction

      • Self-supervised Learning for Software Defect Prediction

    • Software Issue Report

      • Configuration Bug Report Prediction

      • Duplicate Bug Report Prediction

        • Sentence-BERT Embedding

Research Experience

  • Sep 2020 - Present, Graduate Student Researcher, BigDyL(Big Data Analytics Lab) (Advisor: Prof. Noseong Park)

  • Jan 2020 – Sep 2020, Undergraduate Student Researcher, AI & SE Lab (Advisor: Prof. Duksan Ryu)

    • I learned systematic research methods from him.
    • Even after I left his lab, I continue to be guided by his research on Software Defect Prediction (SDP) and Bug Report Prediction among software engineering research.
  • Nov 2018 - Dec 2019, Undergraduate Student Researcher, Systems & Software Engineering Lab (Advisor: Prof. Suntae Kim)

    • He talked to me about invaluable stories such as the research life, philosophy, and so on.
    • He has a distinctive research method with a balance between engineering and philosophy. I learned from him how to explore "why this research is needed".


  • Feb 2021, Best Paper Awards, the 23rd Korea Conference on Software Engineering (KCSE 2021)

  • Jun 2019, Best Paper Awards, Korean Institute of Information Technology

  • 2018, The National Scholarship for Science and Engineering, KOSAF(Korea Student Aid Foundation)

    • This scholarship supports undergraduates with strong academic performance in science and engineering, with the purpose of developing future leaders in those fields.


  • Nov 2021, Graph-based Collaborative Filtering and Neural ODEs, 한국인공지능학회(KAIA) | LG AI Research, (This talk is part of a tutorial called "Deep Learning Inspired by Differential Equation". ) [Slides]