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Taehyung Kwon

Ph.D. Student
KAIST AI
taehyung.kwon (at) kaist.ac.kr


About Me

I am a Ph.D. student at KAIST AI, and I am advised by Prof. Kijung Shin. I received a B.S. in Computer Science from KAIST. My research interests include data mining, data compression, and matrix and tensor decomposition

Education

KAIST

Publications

  1. [C8] Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts (to appear)
    Jongha Lee, Taehyung Kwon, Heechan Moon, Kijung Shin
    ICDE 2025
  2. [C7] Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs (to appear)
    Minyoung Choe, Jihoon Ko, Taehyung Kwon, Kijung Shin, and Christos Faloutsos
    WWW 2025
  3. Jihoon Ko*, Shinhwan Kang*, Taehyung Kwon, Heechan Moon, Kijung Shin
    ACM TIST: ACM Transactions on Intelligent Systems and Technology
  4. Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin
    Knowledge and Information Systems
  5. Jihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin
    ICDM 2024
  6. Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
    ICDM 2023
    Best Student Paper Runner-up Award [Link]
  7. Jihoon Ko, Taehyung Kwon, Kijung Shin, Juho Lee
    Preprint, 2021.
  8. Taehyung Kwon*, Inkyu Park*, Dongjin Lee, Kijung Shin
    ICDE 2021

Awards and Honors

Professional Service

Conference Reviewers

Journal Reviewers


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