Jaemin Yoo

Ph.D. Candidate at Seoul National University

I am a Ph.D. candidate majoring in Computer Science and Engineering at Seoul National University, advised by Prof. U Kang. I received my B.S. in Computer Science and Engineering from Seoul National University. My research interests include data mining and machine learning. I am a recipient of the Google PhD Fellowship Program in Machine Learning.


About Me


Research Interests

  • Node classification in graphs (ICDM'17, IJCAI'19, ICDM'21)
  • Multivariate time series forecasting (SDM'21, KDD'21)
  • Interpretable tree models (ICDM'19, PAKDD'21)
  • Graph subsampling (WSDM'20)
  • Zero-shot knowledge distillation (NeurIPS'19)

Awards and Scholarships


  • Accurate Graph-Based PU Learning without Class Prior (to appear)
    Jaemin Yoo*, Junghun Kim*, Hoyoung Yoon*, Geonsoo Kim, Changwon Jang, and U Kang (*equal contribution)
    ICDM 2021 [ paper | bib | blog (Korean) ]
    Regular Paper (top 9.9% = 98/990)
  • Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts
    Jaemin Yoo, Yejun Soun, Yong-chan Park, and U Kang
    KDD 2021 [ paper | homepage (data) | slides | bib ]
  • Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference
    Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, and Marco Zaffalon
    WSDM 2020 [ paper | homepage (code and data) | poster | bib | blog (Korean) ]
    Samsung HumanTech Paper Award; Qualcomm Innovation Fellowship Korea


Invited Talks

Academic Services

  • PC Member @ SDM (2022)
  • PC Member @ AAAI (2021 - 2022)
  • PC Member @ BigComp (2021 - 2022)
  • PC Member @ KDD (2021)
  • Journal reviewer @ Pattern Recognition (2021)

Jaemin Yoo @ SNU