About Me
I am a CS PhD student at UC Riverside, advised by Prof. Vagelis Papalexakis. I received a B.S in Mathematics at Chonnam National University. My research interests focus on Tensor Mining and Machine Learning.
Education
  • Ph.D. in Computer Science, University of California, Riverside
    Riverside, USA, Sep. 2021 - present
  • B.S in Mathematics, Chonnam National University
    Gwangju, South Korea, Feb. 2014 - Jun. 2019
Publications
  • Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values
    Dawon Ahn, Seyun Kim, U Kang
    CIKM 2021 [paper|code]
  • Time-Aware Tensor Decomposition for Missing Entry Prediction
    Dawon Ahn, Jun-Gi Jang, U Kang
    Machine Learning 2021 [paper|code|blog (KR)]
  • Gtensor: Fast and Accurate Tensor Analysis System using GPUs
    Dawon Ahn, Sangjun Son, U Kang
    CIKM 2020 (Demo) [paper|code]
Experience
  • Research Intern (Advisor: U Kang)
    Data Mining Laboratory at SNU
    Seoul, South Korea, Jan. 2019 - Jun. 2021
  • Data Science Intern
    DT Lab, HANA Financial Group
    Seoul, South Korea, Sep. 2018 - Dec. 2018
  • FIRA: Big Data Engineering Courses
    SNU Big Data Institute & The ministry of Employment and Labor of Korea
    Seoul, South Korea, Jun. 2018 - Dec. 2018
Teaching
  • T.A - Deep Learning (Time-series Forecasting)
    SK-hynix (2020), LG Chemical (2021), LG DS (2021)