About me

I am a Ph.D. student majoring in Computer Science Engineering at Seoul National University. My research interests include tensor mining and time series analysis. I am currently advised by Prof. U Kang. I received B.S. in Mechanical & Aerospace Engineering at Seoul National University.

Research Interest

Efficient Tensor Analysis, Time Series Analysis

Education

  • M.S. & Ph.D. student (Mar. 2017 - Present)
    Computer Science and Engineering
    Seoul National University

  • Bachelor of Science (Feb. 2017)
    Mechanical & Aerospace Engineering
    Seoul National University

Publications

[C2] D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors.
Jun-Gi Jang and U Kang.
36th IEEE International Conference on Data Engineering (ICDE) 2020, Dallas, Texas, USA. [paper] [homepage]

[J2] S3CMTF: Fast, accurate, and scalable method for incomplete coupled matrix-tensor factorization.
Dongjin Choi, Jun-Gi Jang, and U Kang.
PLOS ONE 14(6): e0217316.
[paper] [bibtex] [homepage]

[J1] High-Performance Tucker Factorization on Heterogeneous Platforms.
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, and U Kang.
IEEE Transactions on Parallel and Distributed Systems (TPDS), Apr. 1, 2019.
[paper] [bibtex] [code]

[C1] Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range.
Jun-Gi Jang, Dongjin Choi, Jinhong Jung, and U Kang.
ACM International Conference on Information and Knowledge Management (CIKM) 2018, Lingotto, Turin, Italy.
[paper] [bibtex] [homepage]

Awards & Honors

  • Humantech Paper Award, Honorable Mention (Feb. 2018). Samsung Electronics

Professional Services

Conference Reviews

  • CIKM (International Conference on Information and Knowledge Management) [2018, 2019]
  • ICDM (International Conference on Data Mining) [2018]
  • KDD (International Conference on Knowledge Discovery and Data Mining) [2019, 2020]
  • WWW (International World Wide Web Conference) [2019]
  • WSDM (International Conference on Web Search and Data Mining) [2018, 2019]

Teaching Experiences

Teaching Assistant

  • M2177.004900 Theory and Lab of IoT, AI, and Big Data (Spring 2020) Seoul National University
  • M2177.004900 Theory and Lab of IoT, AI, and Big Data (Fall 2019) Seoul National University
  • M2177.004900 Theory and Lab of IoT, AI, and Big Data (Spring 2019) Seoul National University
  • M1522.001400 Introduction to Data Mining (Spring 2018) Seoul National University
  • M1522.000900 Data Structure (Fall 2017) Seoul National University

Invited Talks

  • Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range NC Soft, Jan. 2019