News

• (Sept. 2018) New paper, GAN Lab, accepted to IEEE VAST'18! Try our demo here!
• (Aug. 2018) Co-organized IDEA workshop at KDD 2018.
• (May 2018) New survey paper on visual analytics for deep learning accepted to IEEE TVCG.
• (Apr. 2018) Thrilled to be awarded the Google PhD Fellowship!
• (Apr. 2018) Awarded the Graduate TA of the Year in School of Computer Science!

Selected Publications

• GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation.
  Minsuk Kahng, Nikhil Thorat, Duen Horng (Polo) Chau, Fernanda Viégas, Martin Wattenberg.
  IEEE Transactions on Visualization and Computer Graphics, 25(1) (VAST 2018) (To appear).
  DOI PDF Source Demo
• Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.
  Fred Hohman, Minsuk Kahng, Robert Pienta, Duen Horng (Polo) Chau.
  IEEE Transactions on Visualization and Computer Graphics (To appear).
  DOI PDF
• ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models.
  Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng (Polo) Chau.
  IEEE Transactions on Visualization and Computer Graphics, 24(1) (VAST 2017), 2018.
  DOI PDF Video Slides Webpage
• FACETS: Adaptive Local Exploration of Large Graphs.
  Robert Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau.
  SIAM International Conference on Data Mining (SDM 2017), 2017.
  DOI PDF
• Interactive Browsing and Navigation in Relational Databases.
  Minsuk Kahng, Shamkant B. Navathe, John T. Stasko, Duen Horng (Polo) Chau.
  Proceedings of the VLDB Endowment, 9(12) (VLDB 2016), 2016.
  DOI PDF Slides
• Visual Exploration of Machine Learning Results using Data Cube Analysis.
  Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau.
  Workshop on Human-In-the-Loop Data Analytics (HILDA at SIGMOD 2016), 2016.
  DOI PDF Slides
• Understanding Variations in Pediatric Asthma Care Processes in the Emergency Department using Visual Analytics.
  Rahul C. Basole, Mark Braunstein, Vikas Kumar, Hyunwoo Park, Minsuk Kahng, Duen Horng (Polo) Chau, ...
  Journal of the American Medical Informatics Association, 22(2) (JAMIA), 2015.
  DOI
• Scalable Graph Exploration and Visualization: Sensemaking Challenges and Opportunities.
  Robert Pienta, James Abello, Minsuk Kahng, Duen Horng (Polo) Chau.
  International Conference on Big Data and Smart Computing (Invited), 2015.
  DOI PDF
• GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration.
  Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John Stasko, Duen Horng (Polo) Chau.
  IEEE Transactions on Visualization and Computer Graphics, 20(12) (InfoVis 2014), 2014.
  DOI PDF Video
• MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mappping.
  Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng (Polo) Chau, Ho Lee, U Kang.
  IEEE International Conference on Big Data (BigData 2014), 2014.
  DOI PDF Website
• GLOs: Graph-Level Operations for Exploratory Network Visualization.
  Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John Stasko, Duen Horng (Polo) Chau.
  ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2014 Extended Abstracts), 2014.
  DOI PDF
• PathRank: A Novel Node Ranking Measure on a Heterogeneous Graph for Recommender Systems.
  Sangkeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee.
  ACM Conference on Information and Knowledge Management (CIKM 2012), 2012.
  DOI DOI (extended)
• Exploiting Paths for Entity Search in RDF Graphs.
  Minsuk Kahng, Sang-goo Lee.
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012) (Poster), 2012.
  DOI PDF Poster
• Ranking Objects by Following Paths in Entity-Relationship Graphs. (Best Paper Award)
  Minsuk Kahng, Sangkeun Lee, Sang-goo Lee.
  ACM Workshop for Ph.D. Students in Information and Knowledge Management (Ph.D. Workshop at CIKM 2011), 2011.
  DOI PDF Slides
• Random Walk based Entity Ranking on Graph for Multidimensional Recommendation.
  Sangkeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee.
  ACM Conference on Recommender Systems (RecSys 2011), 2011.
  DOI PDF DOI (extended)
• Ranking in Context-Aware Recommender Systems.
  Minsuk Kahng, Sangkeun Lee, Sang-goo Lee.
  International Conference on World Wide Web (WWW 2011) (Poster), 2011.
  DOI PDF Poster

A full list of papers available here and Google Scholar.

Honors and Awards

• 2018 - 2019 Google PhD Fellowship, Google

  Full tuition and stipend support

• Aug. 2018 Invited to present at ACM SIGGRAPH as one of five top IEEE TVCG papers
• Apr. 2018 Graduate Teaching Assistant of the Year, Center for Teaching and Learning, Georgia Tech

  Best graduate TA in computer science

• 2014 - 2017 NSF Graduate Research Fellowship, National Science Foundation

  Full tuition and stipend support for three years

• June 2016 Student Travel Award, HILDA Workshop at SIGMOD 2016, supported by Paxata
• Oct. 2011 Best Paper Award, Ph.D. Workshop at CIKM Conference
• 2005 - 2009 National Scholarship for Science and Engineering, Korea Student Aid Foundation

  Full tuition support for all four undergraduate years by Korean government

Education

• 2013 - 2019
  (expected) Ph.D. Student in Computer Science
  Georgia Institute of Technology, Atlanta, Georgia, USA
  Advisor: Polo Chau
• 2009 - 2011 M.S. in Computer Science and Engineering
  Seoul National University, Seoul, South Korea
  Thesis: Context-Aware Recommendation Using Learning-to-Rank (Advisor: Sang-goo Lee)
• 2005 - 2009 B.S. in Electrical and Computer Engineering
  Seoul National University, Seoul, South Korea

Industry Research Experience

• Summer 2017 Software Engineering Intern
  Big Picture Visualization Research Group (part of Google Brain)
  Google, Cambridge, Massachusetts, USA

  Developed interactive, visual tools to help non-experts learn machine learning.

• Summer 2016 Research Intern
  Facebook, Menlo Park, California, USA

  Developed visual analytics tools for exploring and interpreting deep neural network models, deployed on Facebook's machine learning platform.

• Summer 2015 Research Intern
  Facebook, Menlo Park, California, USA

  Developed interactive, visual data exploration tools for analyzing machine learning results by slicing and dicing them based on features.

Teaching Experience

• Fall 2017 Teaching Assistant and Guest Lecturer
  Georgia Institute of Technology, Atlanta, Georgia, USA
  Course: Database Systems Concepts and Design (CS 6400) (Instructor: Sham Navathe)

  Served as a TA in the graduate-level database course.
  Lectured on data management challenges in practical machine learning.

• Fall 2014 Teaching Assistant
  Georgia Institute of Technology, Atlanta, Georgia, USA
  Course: Data and Visual Analytics (CSE 6242 / CX 4242) (Instructor: Polo Chau)

  Served as a TA in the graduate-level course on analyzing and visualizing big data.

• Fall 2012 Instructor
  Sookmyung Women's University, Seoul, Korea
  Course: Databases for Statistics

  Taught an introductory database course to undergraduate students in the Department of Statistics. Topics included relational models, SQL, entity-relationship models, data mining, and R programming.

• May 2012 Guest Lecturer
  Seoul National University, Seoul, Korea
  Title: State-of-the-Art Methods and Trends in Information Retrieval for Database Researchers

  Lectured on information retrieval, including language models, learning-to-rank, and topic models.

Professional Service

• Workshop Co-organizer
  KDD Workshop on Interactive Data Exploration and Analytics (IDEA 2018)
• Program Committee
  Symposium on Visualization in Data Science (VDS at IEEE VIS 2018)
  Workshop on Visualization for AI Explainability (at IEEE VIS 2018)
  KDD Workshop on Interactive Data Exploration and Analytics (IDEA) (2017, 2016)
  Workshop on Visual Analytics for Deep Learning (VADL at IEEE VIS 2017)
• Reviewer
  • CHI 2018, 2017, 2014
  • VIS (VAST & InfoVis) 2018
  • EuroVis 2018
  • SDM 2017, 2016, 2014
  • VDS (at VIS) 2017
  • KDD 2016, 2015, 2014
  • IUI 2016
  • RecSys 2016
  • ACM Transactions on Computer-Human Interaction (2015)
  • Expert Systems with Applications (2015)
  • SIGMOD 2013
  • DASFAA 2011
  • SAC 2011
  • CEC 2010
• Webmaster and Web Designer
  9th ACM International Conference on Web Search and Data Mining (WSDM 2016)

Last updated: September 9, 2018