Jaegul Choo (주재걸) [Short Bio] [CV]
Address : Anam-dong 5-ga, Seongbuk-gu
Seoul 136-713, South Korea
Office :  Room# 510A, Science Library Building
Office Phone: +82-2-3290-4602
E-mail: jchoo@korea.ac.kr
Meeting Request: Schedule a Meeting
- Image made by my student, Sattam. Thanks, Sattam! :)
Announcement
  • I am looking for highly motivated Postdocs, Ph.D, and M.S students. If you're interested, send me an email with your full Curriculum Vitae and transcript. 
  • I am also looking for undergraduate students interested in working on data mining, machine learning, artificial intelligence, and visual analytics. If interested, send me an email with your full Curriculum Vitae and transcript. 
News
  • (July 2017) A new paper, 'MMGAN: Manifold Matching Generative Adversarial Network for Generating Images,' is available HERE. The code can be found HERE
  • (July 2017) The paper, 'Localized User-Driven Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization,got accepted to KAIS
  • (July 2017) The paper, 'ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding,got accepted to VAST'17, part of IEEE VIS'17 (21% acceptance rate), which will be published at TVCG
  • (May 2017) The paper, 'Toward Predicting Social  Support Needs in Online Health Social Networks,got accepted to JMIR
  • (May 2017) The paper, 'When Bitcoin Encounters Information in an Online Forum: Using Text Mining to Analyse User Opinions and Predict Value Fluctuation,got accepted to PLoS ONE
  • (April 2017) The paper, 'End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks,got accepted to IJCAI'17 (26% acceptance rate). 
  • (March 2017) The paper, 'VisIRR: An Interactive Visual System for Information Retrieval and Recommendation for Large-scale Document Data,got accepted to TKDD
  • (February 2017) My lecture slides and demo codes (all credits to my student, Jurim Lee) on infovis and visual analytics at DB Society Winter School on 2/24/2017 are available: [PDF][CODE] 
  • (December 2016) The ICDM'16 paper shown below received the Best Student Paper Award
  • (November 2016) The paper, 'PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering,got accepted to AAAI'17 (25% acceptance rate). 
  • (November 2016) A new paper, 'PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding,' is available HERE. The code can be found HERE
  • (October 2016) I gave a TALK at the Department of Computer Science, Virginia Tech hosted by Prof. Chandan K. Reddy
  • (September 2016) The paper, 'L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization,got accepted as a regular paper to ICDM'16 (8.5% acceptance rate for regular papers). 
  • (August 2016) The paper, 'Personas in online health communities,' got accepted to JBI
  • (July 2016) Two papers, 'TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections' and 'Axisketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings,' got accepted to VAST'16, part of IEEE VIS'16 (21% acceptance rate), which will be published at TVCG
  • (October 2015) I gave a talk at the Department of Computer Science, Wayne State University hosted by Prof. Chandan K. Reddy
  • (August 2015) I gave a talk at the School of Information Technologies, University of Sydney hosted by Prof. Seok-Hee Hong. Slides can be found HERE
  • (July 2015) Two papers, 'InterAxis: Steering Scatterplot Axes via Observation-Level Interaction' and 'VisOHC: Designing Visual Analytics for Online Health Communities,' got accepted to VAST'15, part of IEEE VIS'15 (22% acceptance rate), which will be published at TVCGAnother paper, 'DemographicVis: Analyzing Demographic Information based on User Generated Content,' got accepted to VAST'15 as a conference-track paper. 
  • (May 2015) The paper, 'Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization,' got accepted to KDD'15 (19% acceptance rate). 
  • (April 2015) I received an Outstanding Research Scientist Award from Georgia Tech. 
  • (Mar 2015) The paper, 'Project Recommendation Using Heterogeneous Traits in Crowdfunding,' got accepted to ICWSM'15 (19% acceptance rate). 
  • (Mar 2015) I left Georgia Tech and joined the faculty at Korea University. 
  • (Nov 2014) The poster paper, 'PIVE: Per-Iteration Visualization Environment for Supporting Real-Time Interactions with Computational Methods,' received the Best Poster Award at VAST'14
Courses
  • Spring 2017, COSE111 (03): Math for Computer Science I (Linear Algebra)
  • Spring 2017, AAA638: Visual Analytics
  • Spring 2017, CVH126: Data Science
  • Fall 2016, COSE112 (02): Math for Computer Science II (Probability and Statistics)
  • Fall 2016, AAA625: Numerical Linear Algebra
  • Spring 2016, COSE111 (01): Math for Computer Science I (Linear Algebra)
  • Spring 2016, CRE653: Data Mining
  • Fall 2015, COSE472: Information Retrieval
  • Fall 2015, AAA638: Visual Analytics
  • Spring 2015, COSE111 (01): Math for Computer Science I (Linear Algebra)
  • Spring 2015, CRE653: Data Mining

Research Interest

I am broadly interested in leveraging both data mining and interactive visualization for big data analyses. As main data mining techniques, I am primarily interested in dimension reduction and clustering, which play essential roles in visualizing large-scale high-dimensional data and supporting user interactions with them. My research focuses on making these techniques visually and semantically meaningful and real-time interactive. 

Publications [Google Scholar]

2018
  • ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding
    Deokgun Park, Seungyeon Kim, Jurim Lee, Jaegul Choo, Nicholas Diakopoulos, and Niklas Elmqvist
    IEEE Trans. on Visualization and Computer Graphics (TVCG), 2017 (Proc. IEEE Vis'17), Accepted
    [PDF][VIDEO][WEBSITE]
2017
  • MMGAN: Manifold Matching Generative Adversarial Network for Generating Images
    Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, and Youngmin Kim
    arXiv preprint arXiv:1707.08273

    [PDF][CODE]
  • Localized User-Driven Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
    Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, and Jaegul Choo
    Knowledge and Information Systems (KAIS), 2017, Accepted
  • Toward Predicting Social Support Needs in Online Health Social Networks
    Min-Je Choi, Sung-Hee Kim, Sukwon Lee, Bum Chul Kwon, Ji Soo Yi, Jaegul Choo, and Jina Huh
    Journal of Medical Internet Research (JMIR), 2017, Accepted
  • Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
    Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K. Reddy
    International Joint Conference on Artificial Intelligence (IJCAI), 2017, Melbourne, Australia, Invited to Best Sister Conferences Paper Track as the ICDM'16 Best Student Paper. 

  • End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks
    Min-Je Choi, Sehun Jeong, Hakjoo Oh, and Jaegul Choo
    International Joint Conference on Artificial Intelligence (IJCAI), 2017, Melbourne, Australia, Accepted

    [PDF]
  • When Bitcoin Encounters Information in an Online Forum: Using Text Mining to Analyse User Opinions and Predict Value Fluctuation
    Young Bin Kim, Jurim Lee, Nuri Park, Jaegul Choo, Jong-Hyun Kim, and Chang Hun Kim
    PLoS ONE
    Vol. 12, No. 5, pp. 1598-1621, 2017
    [PDF]
  • VisIRR: An Interactive Visual System for Information Retrieval and Recommendation for Large-scale Document Data
    Jaegul Choo, Hannah Kim, Edward Clarkson, Zhiecheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John Stasko, and Haesun Park
    ACM Transactions on Knowledge Discovery from Data (TKDD), 2017, Accepted

    [PDF][VIDEO]
  • PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering
  • Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, and Haesun Park
    AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, CA

    [PDF][VIDEO]
  • TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections
    Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, and Niklas Elmqvist
    IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 23, No. 1, pp. 151-160, 2017 (Proc. IEEE Vis'16)

    [PDF][VIDEO]
  • Axisketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings
    Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, and Alex Endert
    IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 23, No. 1, pp. 221-230, 2017 (Proc. IEEE Vis'16)

    [PDF][VIDEO]
2016
  • L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
    Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K. Reddy
    IEEE International Conference on Data Mining (ICDM), 2016, Barcelona, Spain
    BEST STUDENT PAPER AWARD
    [PDF][CODE]
  • PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding
    Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, and Jaegul Choo
    arXiv preprint arXiv:1611.02568

    [PDF][CODE]
  • Personas in Online Health Communities
    Jina Huh, Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jihoon Kim, Min-Je Choi, and Ji Soo Yi
    Journal of Biomedical Informatics (JBI), Vol. 63, pp. 212-225, 2016
    [PDF]
  • InterAxis: Steering Scatterplot Axes via Observation-Level Interaction
  • Hannah Kim, Jaegul Choo, Haesun Park, and Alex Endert
    IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 22, No. 1, pp. 131-140, 2016 (Proc. IEEE Vis'15)
    [PDF]
    [INTRO_VIDEO][VIDEO]
  • 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 Trans. on Visualization and Computer Graphics (TVCG), Vol. 22, No. 1, pp. 71-80, 2016  (Proc. IEEE Vis'15)
    [PDF]
    [INTRO_VIDEO]
  • ReVACNN: Real-Time Visual Analytics for  Convolutional Neural Network
    Sunghyo Chung, Sangho Suh, Cheonbok Park, Kyeongpil Kang, Jaegul Choo, and Bum Chul Kwon
    ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (KDD-IDEA), 2016, San Francisco, CA
    [PDF]
  • Tile-Based Spatio-Temporal Visual Analytics via Topic Modeling on Social Media
    Minsuk Choi, Jaeseong Yoo, Ashley S. Beavers, Scott Langevin, Chris Bethune, Sean McIntyre, Barry L. Drake, Jaegul Choo, and Haesun Park
    IEEE Conference on Visual Analytics Science and Technology (VAST), 2016, Baltimore, MD (Poster paper)
    [PDF]
2015
  • 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), Vol. 29, No. 6, pp. 1598-1621, 2015
    [PDF]
  • 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, Vol. 150, Part B, No. 12, pp. 570-582, 2015
    [PDF]
  • 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
    [PDF]
  • 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
    [PDF]
  • 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, Chicago, Il
    [PDF]
    [YOUTUBE]
  • Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering
    Da Kuang, Jaegul Choo, and Haesun Park
    Partitional Clustering Algorithms, pp. 215-243, Springer, 2015 (Book chapter)
    [PDF]
  • 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
    [PDF]
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
    [PDF] 
    [SLIDE]
  • 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
    [PDF] 
    [SLIDE]
  • 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
    [PDF] 
    [INTRO_VIDEO] [VIDEO]
  • 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)
    [PDF] 
    [INTRO_VIDEO] [VIDEO]
  • 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)
    [PDF] 
    [MC1_VIDEO] [MC2_VIDEO]
  • 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)
    [PDF]
2013
  • UTOPIAN: User-driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization
    Jaegul Choo, Changhyun Lee, Chandan K. Reddy, and Haesun Park
    IEEE Trans. on Visualization and Computer Graphics (TVCG), Vol. 19, No. 12, pp. 1992-2001, 2013 (Proc. IEEE Vis'13)
    [PDF] 
    [SLIDE] [YOUTUBE]
  • Customizing Computational Methods for Visual Analytics with Big Data
    Jaegul Choo and Haesun Park
    IEEE Computer Graphics and Applications (CG&A), Vol. 33, Issue 4, pp. 22-28, 2013
    [PDF]
  • 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 Trans. on Visualization and Computer Graphics (TVCG), Vol. 19, No. 10, pp. 1646-1663, 2013
    [PDF] 
    [VIDEO]
  • 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
    [PDF] 
    [VIDEO] [WEBSITE]
  • 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
    [PDF]
  • 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
    [PDF]
  • 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
    [PDF]
  • 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)
    [PDF] 
    [WEBSITE]
  • 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)
    [PDF]
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
    [PDF]
  • 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), Vol. 31, Issue 3pt3, pp. 1155-1164, 2012  (Proc. EuroVis'12)
    [PDF] 
    [VIDEO]
2011
  • A Visual Analytics Approach for Protein Disorder Prediction
    Jaegul Choo, Fuxin Li, and Haesun Park
    Expanding the Frontiers of Visual Analytics and Visualization, pp. 163-174, Springer, 2011 (Book chapter)
    [PDF]
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
    [PDF]
  • 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
    [PDF]
  • 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)
    [PDF]
  • 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)
    [PDF]
  • 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
    [PDF]
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
    [PDF]
  • 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
    [PDF]
  • 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)
    [PDF]
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
    [PDF]
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
    [PDF]