About

About

I received my Ph.D. in Computer Science and Engineering and my B.S. in Mathematical Sciences from Seoul National University. My work develops scalable methods for matrix and tensor factorization, online data analysis, time-series representation, and anomaly detection.

Ph.D.
Seoul National University · Computer Science and Engineering (Advisor: Prof. U Kang)
B.S.
Seoul National University · Mathematical Sciences
News

Recent Updates

SIGKDD Dissertation Award — Runner-up.
Received the SNU CSE Best Ph.D. Thesis Award.
MMF, TiRano, and FOCAL were accepted to KDD 2026.
PuzzleTensor was accepted to KDD 2025.
Publications

Publications

Google Scholar ↗

2026

A Masked Mixture Model for Compact and Accurate Matrix Factorization

Yong-chan Park, Jeongyoung Lee, SeungJoo Lee, and U Kang

KDD 2026PaperBibTeXCode

TiRano: Tensorized Relation-aware Temporal Reasoning for Accurate Knowledge Graph Completion

SeungJoo Lee, Yong-chan Park, and U Kang

KDD 2026PaperBibTeXCode

Fast and Accurate Online Coupled Matrix-Tensor Factorization via Frequency Regularization

Yong-chan Park, SeungJoo Lee, and U Kang

KDD 2026PaperBibTeXCode

Fast and Accurate Temporal Super-Resolution via Residual-Aware Coupled Tensor Factorization

Nam Kyu Kang, Yong-chan Park, and U Kang

ICASSP 2026PaperBibTeX

2025

Offline and Online Coupled Tensor Factorization with Knowledge Graph

SeungJoo Lee, Yong-chan Park, and U Kang

PLOS ONE 2025PaperBibTeXCode

SwaGNER: Leveraging Span-aware Grid Transformers for Accurate Nested Named Entity Recognition

SeungJoo Lee, Yong-chan Park, and U Kang

CIKM 2025PaperBibTeX

PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization

Yong-chan Park, Kisoo Kim, and U Kang

KDD 2025PaperBibTeXCodeSlides

2024

Accurate Stock Movement Prediction via Multi-Scale and Multi-Domain Modeling

JinGee Kim, Yong-chan Park, Jaemin Hong, and U Kang

BigData 2024PaperBibTeX

Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors

Jun-Gi Jang, Yong-chan Park, and U Kang

CIKM 2024PaperBibTeXCode

Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection

Yong-chan Park, Jongjin Kim, and U Kang

KDD 2024PaperBibTeXCodeSlides

~2023

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 2023PaperBibTeXCode

DAO-CP: Data-Adaptive Online CP Decomposition for Tensor Stream

Yong-chan Park*, Sangjun Son*, Minyong Cho, and U Kang (*equal contribution)

PLOS ONE 2022PaperBibTeXCode

Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts

Jaemin Yoo, Yejun Soun, Yong-chan Park, and U Kang

KDD 2021PaperBibTeX

Fast and Accurate Partial Fourier Transform for Time Series Data

Yong-chan Park, Jun-Gi Jang, and U Kang

KDD 2021PaperBibTeXCode
Recognition

Awards & Honors

SIGKDD Dissertation Award Runner-up
SNU CSE Best Ph.D. Thesis Award
KDD Student Travel Award
Qualcomm Innovation Fellowship Korea Finalist
SNU BK21 Star Student Researcher Fellowship
Service

Professional Service

Reviewer
KDD, NeurIPS, ICML, AAAI, and others.
Organizer
Workshop Organizing Committee, Interplay Between Classical Tensor Methods and Foundation Models, KDD 2026.
Teaching

Teaching Experience

Full teaching history
Deep LearningSamsung C&T
Artificial IntelligenceKT
Machine LearningLG Electronics
Machine LearningHyundai Motor Company
Advanced Data ScienceLG Electronics
Deep LearningSamsung Electronics
Deep LearningSamsung Electronics
Deep LearningSamsung Electronics
Introduction to Data MiningSeoul National University
Data StructureSeoul National University