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)