Kijung Shin

Kijung Shin

Korea Advanced Institute of Science and Technology

Assistant Professor

School of Electrical Engineering

Graduate School of AI

Research Area

  • #Computer science
  • #Tensor
  • #Scalability
  • #Algorithm
  • #Streaming algorithm
  • #Structure analysis
  • #Mathematics
  • #Vertex (geometry)
  • #Clustering coefficient
  • #Graph drawing

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Related papers to
‘ Computer science ‘ : 4

  • Fully Scalable Methods for Distributed Tensor Factorization

    2017/01

    2.8 Impact Factor

    60 citations

    Kijung Shin, Lee Sael, U Kang

    DOI : 10.1109/TKDE.2016.2610420

    • #Computer science
    • #Theoretical computer science
    • #Matrix (mathematics)
    • #Convergence (routing)
    • #Scalability
    • #Stress (mechanics)
    • #Tensor
    • #Memory management
    • #Matrix decomposition
    • #Coordinate descent

All papers authored by
‘ Kijung Shin ’ : 5

  • Fully Scalable Methods for Distributed Tensor Factorization

    2017/01
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

    2.8 Impact Factor

    60 citations

    Kijung Shin, Lee Sael, U Kang

    DOI : 10.1109/TKDE.2016.2610420

    • #Computer science
    • #Theoretical computer science
    • #Matrix (mathematics)
    • #Convergence (routing)
    • #Scalability
    • #Stress (mechanics)
    • #Tensor
    • #Memory management
    • #Matrix decomposition
    • #Coordinate descent

Related papers to
‘ Computer science ‘ : 4

  • Fully Scalable Methods for Distributed Tensor Factorization

    2017/01
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

    2.8 Impact Factor

    60 citations

    Kijung Shin, Lee Sael, U Kang

    DOI : 10.1109/TKDE.2016.2610420

    • #Computer science
    • #Theoretical computer science
    • #Matrix (mathematics)
    • #Convergence (routing)
    • #Scalability
    • #Stress (mechanics)
    • #Tensor
    • #Memory management
    • #Matrix decomposition
    • #Coordinate descent
  • Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining

    2018/01
    ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA

    2.5 Impact Factor

    12 citations

    Kijung Shin, Bryan Hooi, Christos Faloutsos

    DOI : 10.1145/3154414

    • #Computer science
    • #Algorithm
    • #Scalability
    • #Upper and lower bounds
    • #Tensor
    • #Anomaly detection
    • #Lockstep
    • #Scale (descriptive set theory)

Get access to
Contact information

Log in

All papers authored by
‘ Kijung Shin ’ : 5

  • Fully Scalable Methods for Distributed Tensor Factorization

    2017/01
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

    2.8 Impact Factor

    60 citations

    Kijung Shin, Lee Sael, U Kang

    DOI : 10.1109/TKDE.2016.2610420

    • #Computer science
    • #Theoretical computer science
    • #Matrix (mathematics)
    • #Convergence (routing)
    • #Scalability
    • #Stress (mechanics)
    • #Tensor
    • #Memory management
    • #Matrix decomposition
    • #Coordinate descent
  • Patterns and anomalies in k -cores of real-world graphs with applications

    2018/03
    KNOWLEDGE AND INFORMATION SYSTEMS

    2.4 Impact Factor

    35 citations

    Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos

    DOI : 10.1007/S10115-017-1077-6

    • #Mathematics
    • #Discrete mathematics
    • #Combinatorics
    • #Structure analysis
    • #Streaming algorithm
    • #Vertex (geometry)
    • #Clustering coefficient
    • #Graph drawing
    • #Degeneracy (graph theory)

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