Seoyoung Hong
Machine Learning Researcher 💻
E-mail: seoyoung.hong@boeing.com
Phone: +82-10-7120-6128
I am currently employed as a Machine Learning Researcher at Boeing Korea. I completed my master’s degree at Big Data Analytics Lab, Yonsei University.
My research interests include recommender systems, predictive modeling, and time-series forecasting. I enjoy solving various real-world problems with data-driven deep learning algorithms. Here is a full Curriculum Vitae.
When I’m not looking at code, I can usually be found playing tennis, baking, or watching films. I desire to be someone who contributes to and changes the world. I want to live forever young, as my name says!
Experience
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Machine Learning researcher at Boeing Korea
Jan. 2024 - Present
Boeing Korea (BKETC), Seoul, Korea -
Visiting researcher in Computational Science & Engineering
Jan. 2023 - Jun. 2023
Georgia Institute of Technology, Atlanta, United States -
Google Machine Learning Bootcamp
Oct. 2020 - Jan. 2021
Google Developers, Seoul, Korea
Education
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Master’s degree in Artificial Intelligence
Sep. 2021 - Aug. 2023
Yonsei University, Seoul, Korea -
Bachelor’s degree in Business
Bachelor’s degree in Software (Data Science)
Mar. 2016 - Feb. 2021
Kyunghee University, Seoul, Korea -
Exchange Student
Jan. 2018 - Jun. 2018
University of Leicester, Leicester, UK
Awards
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Best Student Paper award at IEEE Bigdata 2022
Dec. 2022
“TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering” has won the Best Student Paper award at IEEE BigData 2022. -
KSC 2020 Junior Paper Awards, 4th Prize (학부생/주니어논문경진대회 장려상)
Feb. 2021
Hosted by the Korean Institute of Information Scientists and Engineers -
Big Contest 2020, 2nd prize (2020 빅콘테스트 퓨처스리그 최우수상)
Sep. 2020
Hosted by the National Information Society Agency
News
Apr 23, 2023 | A full research paper, titled “GREAD: Graph Neural Reaction-Diffusion Networks,” is accepted at ICML 2023! |
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Apr 5, 2023 | A full research paper, titled “Blurring-Sharpening Process Models for Collaborative Filtering,” is accepted at SIGIR 2023! |
Dec 19, 2022 | My paper on “TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering” has won the Best Student Paper award at IEEE BigData 2022! |
Oct 25, 2022 | A full research paper, titled “TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering,” is accepted at IEEE BigData 2022. |
Aug 1, 2022 | A full research paper, titled “Prediction-based One-shot Dynamic Parking Pricing,” is accepted at CIKM 2022. |