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DAVIAN

Research

 2015


  • InterAxis: Observation-level Interactive Axis Steering for Scatterplots of Multi-Dimensional Data Visualization
    • Hannah Kim, Jaegul Choo, Haesun Park, and Alex Endert
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), 2015, Accepted. 
  • VisOHC: Designing Visual Analytics for Online Health Communities
    • Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jina Huh, and Ji Soo Yi
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), 2015, Accepted.
  • DemographicVis: Analyzing Demographic Information based on User Generated Content
    • Wenwen Dou, Isaac Cho, Omar ElTayeby, Jaegul Choo, Derek Xiaoyu Wang, and William Ribarsky
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2015, Accepted.
  • Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization
    • Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, and Haesun Park
    • 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015, Sydney, Australia
  • Opinion Marks: A Human-Based Computation Approach to Instill Structure into Unstructured Text on the Web
    • Bum Chul Kwon, Jaegul Choo, Sung-Hee Kim, Daniel Keim, Haesun Park, and Ji Soo Yi
    • ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2015, Sydney, Australia
  • Project Recommendation Using Heterogeneous Traits in Crowdfunding
    • Vineeth Rakesh, Jaegul Choo, and Chandan K. Reddy
    • 9th International AAAI Conference on Web and Social Media (ICWSM), 2015, Oxford, UK
  • Doubly Supervised Embedding Based on Class Labels and Intrinsic Clusters for High-Dimensional Data Visualization
    • Hannah Kim, Jaegul Choo, Chandan K. Reddy, and Haesun Park
    • Neurocomputing, Volume 150, Part B, Number 12, pages 570-582, 2015
  • Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering
    • Da Kuang, Jaegul Choo, and Haesun Park
    • Partitional Clustering Algorithms, pages 215-243, Springer, 2015 (Book chapter)

 

 

 

 2014


  • Weakly Supervised Nonnegative Matrix Factorization for User-Driven Clustering
    • Jaegul Choo, Changhyun Lee, Chandan K. Reddy, and Haesun Park
    • Data Mining and Knowledge Discovery (DMKD), pages 1-24, 2014
  • To Gather Together for a Better World: Understanding and Leveraging Communities in Micro-lending Recommendation
    • Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, and Haesun Park
    • 23rd International Conference on World Wide Web (WWW), 2014, Seoul, Korea
  • Understanding and Promoting Micro-finance Activities in Kiva.org
    • Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, and Haesun Park
    • 7th ACM International Conference on Web Search and Data Mining (WSDM), 2014, New York, NY
  • PIVE: Per-Iteration Visualization Environment for Supporting Real-Time Interactions with Computational Methods
    • Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Barry L. Drake, and Haesun Park
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, Paris, France (Poster paper), BEST POSTER AWARD
  • VisIRR: Visual Analytics for Information Retrieval and Recommendation for Large-Scale Document Data
    • Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John Stasko, Barry L. Drake, and Haesun Park
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, Paris, France (Poster paper)
  • Exploring Anomalies in GAStech: VAST Mini Challenge 1 and 2
    • Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, and John Stasko
    • IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2014, Paris, France (Poster paper)
  • Visual Analytics for Interactive Exploration of Large-Scale Document Data via Nonnegative Matrix Factorization
    • Jaegul Choo, Barry L. Drake, and Haesun Park
    • BigData Innovators Gathering (BIG), 2014, Seoul, Korea (Demo paper)

 

 

 

 2013


  • UTOPIAN: User-driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization
    • Jaegul Choo, Changhyun Lee, Chandan K. Reddy, and Haesun Park
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 19, Number 12, pages 1992-2001, 2013
  • Customizing Computational Methods for Visual Analytics with Big Data
    • Jaegul Choo and Haesun Park
    • IEEE Computer Graphics and Applications (CG&A), Volume 33, Issue 4, pages 22-28, 2013
  • Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw
    • Carsten Görg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, and John Stasko
    • IEEE Transactions on Visualization and Computer Graphics (TVCG), Volume 19, Number 10, pages 1646-1663, 2013
  • An Interactive Visual Testbed System for Dimension Reduction and Clustering of Large-Scale High-Dimensional Data
    • Jaegul Choo, Hanseung Lee, Zhicheng Liu, John Stasko, and Haesun Park
    • Proc. SPIE 8654, Visualization and Data Analysis (VDA), 2013, Burlingame, CA
  • Fast Interactive Visualization for Multivariate Data Exploration
    • Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, and Haesun Park
    • ACM SIGCHI Work-in-progress (CHI-WIP), 2013, Paris, France
  • Augmenting MATLAB with Semantic Objects for an Interactive Visual Environment
    • Changhyun Lee, Jaegul Choo, Haesun Park, and Duen Horng (Polo) Chau
    • ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2013, Chicago, IL
  • Lytic: Synthesizing High-Dimensional Algorithmic Analysis with Domain-Agnostic, Faceted Visual Analytics
    • Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, and Haesun Park
    • ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2013, Chicago, IL
  • CiteVis: Exploring Conference Paper Citation Data Visually
    • John Stasko, Jaegul Choo, Yi Han, Mengdie Hu, Hannah Pileggi, Ramik Sadana, and Charles D. Stolper
    • IEEE Conference on Information Visualization (InfoVis), 2013, Atlanta, GA (Poster paper)
  • Augmenting MATLAB with Semantic Objects for an Interactive Visual Environment
    • Changhyun Lee, Jaegul Choo, Haesun Park, and Duen Horng (Polo) Chau
    • IEEE International Conference on Data Mining (ICDM), 2013, Dallas, TX (Demo paper)

 

 

 

 2012


  • Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling
    • Jaegul Choo, Shawn Bohn, Grant C. Nakamura, Amanda M. White, and Haesun Park
    • SIAM International Conference on Data Mining (SDM), 2012, Anaheim, CA
  • iVisClustering: An Interactive Visual Clustering for Documents via Topic Modeling
    • Hanseung Lee, Jaeyeon Kihm, Jaegul Choo, John Stasko, and Haesun Park
    • Computer Graphics Forum (CGF), Volume 31, Issue 3pt3, pages 1155-1164, 2012

 

 

 

 2011


  • A Visual Analytics Approach for Protein Disorder Prediction
    • Jaegul Choo, Fuxin Li, and Haesun Park
    • Expanding the Frontiers of Visual Analytics and Visualization, pages 163-174, Springer, 2011 (Book chapter)

 

 

 

 2010


  • p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics
    • Jaegul Choo, Chandan K. Reddy, Hanseung Lee, and Haesun Park
    • SIAM International Conference on Data Mining (SDM), 2010, Columbus, OH
  • iVisClassifier: An Interactive Visual Analytics System for Classification based on Supervised Dimension Reduction
    • Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, and Haesun Park
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2010, Salt Lake City, UT
  • Data Ingestion and Evidence Marshalling in Jigsaw
    • Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, and John Stasko
    • IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2010, Salt Lake City, UT  (Poster paper)
  • GeneTracer: Gene Sequence Analysis of Disease Mutations
    • Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, and John Stasko
    • IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2010, Salt Lake City, UT (Poster paper)
  • Combining Computational Analyses and Interactive Visualization to Enhance Information Retrieval
    • Carsten Görg, Jaeyeon Kihm, Jaegul Choo, Zhicheng Liu, Sivasailam Muthiah, Haesun Park, and John Stasko
    • 4th Workshop on Human-Computer Interaction and Information Retrieval (HCIR), 2010, New Brunswick, NJ

 

 

 

 2009


  • Hierarchical Linear Discriminant Analysis for Beamforming
    • Jaegul Choo, Barry L. Drake, and Haesun Park 
    • SIAM International Conference on Data Mining (SDM), 2009, Sparks, NV
  • Two-stage Framework for Visualization of Clustered High Dimensional Data
    • Jaegul Choo, Shawn Bohn, and Haesun Park
    • IEEE Conference on Visual Analytics Science and Technology (VAST), 2009, Atlantic City, NJ
  • Timeline analysis of undercover activities
    • Jaegul Choo, Emily Fujimoto, Hanseung Lee, and Pedro R. Walteros
    • IEEE Conference on Visual Analytics Science and Technology Challenge (VAST Challenge), 2009, Atlantic City, NJ (Poster paper)

 

 

 

 2008


  • Linear Discriminant Analysis for Data with Subcluster Structure
    • Haesun Park, Jaegul Choo, Barry L. Drake, and Jinwoo Kang 
    • International Conference on Pattern Recognition (ICPR), 2008, Tampa, FL

 

 

 

 2007


  • A Comparison of Unsupervised Dimension Reduction Algorithms for Classification
    • Jaegul Choo, Hyunsoo Kim, Haesun Park, and Hongyuan Zha 
    • IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2007, Fremont, CA
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