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. Thanks, Sattam! :)
Announcement
  • I am looking for self-motivated Postdocs, prospective graduate students, and undergraduate students. If you're interested, send me an email with your full Curriculum Vitae and transcript. 
Courses
  • [VIDEO] Fall 2017, COSE492: Deep Learning
  • [VIDEO] Fall 2017, COSE112: Math for Computer Science II (Probability and Statistics)
  • [VIDEO] Fall 2017, CVH109: Big Data and Information Retrieval 
  • [VIDEO] Fall 2017, DFE606: Big Data Analysis Basics
  • [VIDEO] Spring 2017, COSE111: Math for Computer Science I (Linear Algebra)
  • [VIDEO] Spring 2017, AAA638: Visual Analytics
  • [VIDEO] Spring 2017, CVH126: Data Science
  • [VIDEO] Fall 2016, COSE112: Math for Computer Science II (Probability and Statistics)
  • [VIDEO] Fall 2016, AAA625: Numerical Linear Algebra
  • [VIDEO] Spring 2016, COSE111: 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: Math for Computer Science I (Linear Algebra)
  • Spring 2015, CRE653: Data Mining

Research Interest

  • Visual analytics for user-driven machine learning and deep learning
  • Large-scale interactive 2D embedding using t-SNE
  • Nonnegative matrix factorization (NMF) for clustering and topic modeling 
  • Deep learning for program debugging and auto-completion
  • Deep learning for reading comprehension-based question answering
  • Image generation and translation via generative adversarial networks
  • Social media analysis and text mining
  • Web and user log mining

Invited Talks (Partial List)

Awards

Publications [Google Scholar]

2018
  • ExTopicTile: Tile-Based Spatio-Temporal Event Analytics on Social Media
    Minsuk Choi, Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry Drake, Haesun Park, and Jaegul Choo
    ACM CHI Conference on Human Factors in Computing Systems (CHI), 2018, Conditionally accepted
    [PDF][VIDEO][WEBSITE]
  • 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), 2018 (Proc. IEEE Vis'17), Accepted (21% acceptance rate). 
    [PDF][VIDEO][WEBSITE]
2017
  • StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
  • Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo
    arXiv preprint arXiv:1711.09020
    [PDF][CODE][VIDEO]
  • Consistent Comic Colorization with Pixel-wise Background Classification
  • Sungmin Kang, Jaegul Choo, and Jaehyuk Chang
    NIPS'17 Workshop on Machine Learning for Creativity and Design, 2017, Accepted
  • Predicting the Currency Market in Online Gaming via Topic Modeling on Its Online Forum
  • Young Bin Kim, KyungPil Kang, Jaegul Choo, Shin Jin Kang, TaeHyeong Kim, JaeHo Im, Jong-Hyun Kim, and Chang Hun Kim
    Complexity (IF=4.621), 2017, Accepted
  • STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection
  • Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Drake Barry, Haesun Park, and Jaegul Choo
    IEEE International Conference on Data Mining (ICDM), 2017, New Orleans, LA
    Accepted (9.2% acceptance rate for regular papers). 
  • 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)Vol. 19, No. 8: e272, 2017
    [PDF]
  • 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. 
    [PDF]
  • 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 (26% acceptance rate)

    [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 
    (25% acceptance rate)
    [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) 
    (21% acceptance rate)
    [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) 
    (21% acceptance rate)
    [PDF][VIDEO]
  • High-Recall Document Retrieval from Large-Scale Noisy Documents via Visual Analytics based on Targeted Topic Modeling
  • Hannah Kim, Jaegul Choo, Alex Endert, and Haesun Park
    IEEE Conference on Visual Analytics Science and Technology (VAST), 2017, Phoenix, AZ (Poster paper)
    [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 
    (8.5% acceptance rate for regular papers), 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) (22% acceptance rate)
    [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) 
  • (22% acceptance rate) 
    [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 (19% acceptance rate)
    [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 (19% acceptance rate)
    [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]