Yong-chan Park
About Me
I am a Ph.D. student majoring in Computer Science Engineering at Seoul National University, advised by Prof. U Kang. I received B.S. in Mathematical Sciences from Seoul National University. My research interests include machine learning and time series analysis.
Contacts
- Tel: +82-2-880-7263
- Email: ycpark6767@gmail.com
- Data Mining Lab.
Computer Science and Engineering
Seoul National University - [ Google Scholar | DBLP | CV ]
Research Interests
- Time series analysis
- Machine learning
Publications
-
Accurate Coupled Tensor Factorization with Knowledge Graph
SeungJoo Lee, Yong-chan Park, and U Kang
BigData 2024 [ paper | bibtex | code ] -
Accurate Stock Movement Prediction via Multi-Scale and Multi-Domain Modeling
JinGee Kim, Yong-chan Park, Jaemin Hong, and U Kang
BigData 2024 [ paper | bibtex | code ] -
Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors
Jun-Gi Jang, Yong-chan Park, and U Kang
CIKM 2024 [ paper | bibtex | code ] -
Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection
Yong-chan Park, Jongjin Kim, and U Kang
KDD 2024 [ paper | bibtex | code ] -
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors–Algorithm and Application
Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, and U Kang
KDD 2023 [ paper | bibtex | code ] -
DAO-CP: Data-Adaptive Online CP Decomposition for Tensor Stream
Yong-chan Park*, Sangjun Son*, Minyong Cho, and U Kang (*equal contribution)
PLOS ONE 2022 [ paper | bibtex | code ] -
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 | bibtex ] -
Fast and Accurate Partial Fourier Transform for Time Series Data
Yong-chan Park, Jun-Gi Jang, and U Kang
KDD 2021 [ paper | bibtex | code ]
Professional Services
- KDD 2022 (Reviewer)
- NeurIPS 2021 (Reviewer)
Teaching Experiences
Teaching Assistant
- Machine Learning (Dec. 2023 - Jan. 2024) LG Electronics
- Machine Learning (Jul. 2023 - Aug. 2023) Hyundai Motor Company
- Advanced Data Science (Jan. 2023 - Feb. 2023) LG Electronics
- Deep Learning (Mar. 2022 - Jun. 2022) Samsung Electronics
- Deep Learning (Sep. 2021 - Dec. 2021) Samsung Electronics
- Deep Learning (Mar. 2021 - Jun. 2021) Samsung Electronics
- M1522.001400 Introduction to Data Mining (Spring 2021) Seoul National University
- M1522.000900 Data Structure (Fall 2020) Seoul National University