Cornell University
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Jaeyeon Kihm

PhD Candidate

Areas of Interest

designing user interfaces and interactions between human and mobile devices especially for low power consumptions and studying how computational power can simplify the way people interact with data using information visualization and machine learning.

Biography

 

Jaeyeon is a second year Ph.D student in the Information Science Department at Cornell University, working with Francois Guimbretiere.

His research interests lie in two areas: 1)designing user interfaces and interactions between human and mobile devices especially for low power consumptions and 2)studying how computational power can simplify the way people interact with data using information visualization and machine learning.

He received a Master’s degree in Computer Science from Georgia Tech in 2011 and a Bachelor’s degree in Computer Science from Illinois Tech in 2009.

Publications

 

2013

  • Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw
    C. Gorg, Z. Liu, J. Kihm, J. Choo, H. Park, J. T. Stasko
    IEEE Transactions on Visualization and Computer Graphics, vol. 99, no. PrePrints, p. 1, , 2013 [PDF]

2012

  • iVisClustering: An Interactive Visual Clustering for Documents via Topic Modeling
    H. Lee, J. Kihm, J. Choo, J. Stasko, and H. Park
    Computer Graphics Forum (Eurovis 2012), 31: 1155–1164 [PDF]

2010

  • iVisClassifier: An Interactive Visual Analytics System for Classification based on Supervised Dimension Reduction
    J. Choo, H. Lee, J. Kihm, and H. Park
    IEEE Conference on Visual Analytics Science and Technology (VAST), 2010, pages 27-34
    [PDF][VIDEO]
  • Data Ingestion and Evidence Marshalling in Jigsaw
    Z. Liu, C. Görg, J. Kihm, H. Lee, J. Choo, H. Park, and J. Stasko
    IEEE Conference on Visual Analytics Science and Technology (VAST Challenge), 2010, pages 271-272
    [PDF]
  • GeneTracer: Gene Sequence Analysis of Disease Mutations
    H. Lee, J. Choo, C. Görg, J. Shim, J. Kihm, Z. Liu, H. Park, and J. Stasko
    IEEE Conference on Visual Analytics Science and Technology (VAST Challenge), 2010, pages 291-292
    [PDF]
  • Combining Computational Analyses and Interactive Visualization to Enhance Information Retrieval
    C. Gorg, J. Kihm, J. Choo, Z. Liu, S. Muthiah, H. Park and J. Stasko
    In proceedings of the 2010 Fourth Workshop on Human-Computer Interaction and Information Retrieval (HCIR 10), pp. 16-19 [PDF] [VIDEO]