Yong-chan Park

About Me

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I am a postdoctoral researcher in Computer Science and Engineering at Seoul National University, advised by Prof. U Kang. I received my Ph.D. in Computer Science Engineering and my B.S. in Mathematical Sciences from Seoul National University.

Contacts

• Email: ycpark6767@gmail.com
• Data Mining Lab. @ Seoul National University
• Google Scholar | LinkedIn | DBLP | ORCID | CV

Research Interests

• Tensor analysis
• Time-series analysis
• Anomaly detection

Publications

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2026

• A Masked Mixture Model for Compact and Accurate Matrix Factorization
  Yong-chan Park, Jeongyoung Lee, SeungJoo Lee, and U Kang
  KDD 2026 [ paper | bibtex | code ]

• TiRano: Tensorized Relation-aware Temporal Reasoning for Accurate Knowledge Graph Completion
  SeungJoo Lee, Yong-chan Park, and U Kang
  KDD 2026 [ paper | bibtex | code ]

• Fast and Accurate Online Coupled Matrix-Tensor Factorization via Frequency Regularization
  Yong-chan Park, SeungJoo Lee, and U Kang
  KDD 2026 [ paper | bibtex | code ]

• Fast and Accurate Temporal Super-Resolution via Residual-Aware Coupled Tensor Factorization
  Nam Kyu Kang, Yong-chan Park, and U Kang
  ICASSP 2026 [ paper | bibtex ]

2025

• Offline and Online Coupled Tensor Factorization with Knowledge Graph
  SeungJoo Lee, Yong-chan Park, and U Kang
  PLOS ONE 2025 [ paper | bibtex | code ]

• SwaGNER: Leveraging Span-aware Grid Transformers for Accurate Nested Named Entity Recognition
  SeungJoo Lee, Yong-chan Park, and U Kang
  CIKM 2025 [ paper | bibtex ]

• PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization
  Yong-chan Park, Kisoo Kim, and U Kang
  KDD 2025 [ paper | bibtex | code | PPT ]

2024

• 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 ]

• 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 | PPT ]

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 2023 [ paper | bibtex | code ]

2022

• 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 ]

2021

• 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 ]

Awards

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• SNU CSE Best Ph.D. Thesis Award, 2026
• KDD 2025 Student Travel Award, 2025
• SNU BK21 Star Student Researcher Fellowship, 2023

Professional Services

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• Reviewer: KDD, NeurIPS, ICML, AAAI, and others
• Workshop Organizing Committees: Interplay Between Classical Tensor Methods And Foundation Models (KDD 2026)

Teaching Experiences

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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