Minsuk Kahng

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Publications

Refereed Conference Papers

• 
  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), 2019.
  Open sourced with Google AI
  DOI PDF Slides Code Website
• 
  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.
  Deployed by Facebook
  DOI PDF Video Slides Website
• 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
• M-Flash: Fast Billion-scale Graph Computation Using a Bimodal Block Processing Model
  Hugo Gualdron, Robson Cordeiro, Jose Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U Kang
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), 2016.
  DOI
• 
  GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration
  Charles D. Stolper, Minsuk Kahng, Zhiyuan Lin, Florian Foerster, Aakash Goel, John Stasko, and 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, 2014.
  DOI PDF Website
• 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
• 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

Journal Articles

• 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 (Early Access).
  DOI PDF Website
• Chronodes: Interactive Multifocus Exploration of Event Sequences
  Peter J. Polack Jr., Shang-Tse Chen, Minsuk Kahng, Kaya De Barbaro, Rahul Basole, Moushumi Sharmin, Duen Horng (Polo) Chau
  ACM Transactions on Interactive Intelligent Systems (TiiS), 8(1), 2018.
  DOI PDF
• 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, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burton Lesnick, Beth L. Schissel, Michael Thompson
  Journal of the American Medical Informatics Association, 22(2) (Special Issue on Visual Analytics in Healthcare), 2015.
  DOI
• Constructing Compact and Effective Graphs for Recommender Systems via Node and Edge Aggregations
  Sangkeun Lee, Minsuk Kahng, and Sang-goo Lee
  Expert Systems with Applications, 42(7), 2015.
  DOI
• PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems
  Sangkeun Lee, Sungchan Park, Minsuk Kahng, Sang-goo Lee
  Expert Systems with Applications, 40(2), 2013.
  An extended version of the paper presented at CIKM 2012 listed above.
  DOI

Refereed Workshop, Poster, and Demo Papers

• Discovery of Intersectional Bias in Machine Learning Using Automatic Subgroup Generation
  Ángel Alexander Cabrera, Minsuk Kahng, Fred Hohman, Jamie Morgenstern, Duen Horng (Polo) Chau
  Debugging Machine Learning Models Workshop (at ICLR 2019), 2019.
  PDF
• Designing a Visual Analytic System for Industry-Scale Deep Neural Network Models
  Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro, Duen Horng (Polo) Chau
  Workshop on Visual Analytics for Deep Learning (VADL at IEEE VIS 2017), 2017.
  A summary version of the paper presented at VAST 2017 listed above.
  PDF
• mHealth Visual Discovery Dashboard
  Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al'Absi, Duen Horng (Polo) Chau
  ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017) (Demo), 2017.
  PDF Video
• 
  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.
  Deployed by Facebook
  DOI PDF Slides
• STEPS: A Spatio-temporal Electric Power Systems Visualization
  Robert Pienta, Leilei Xiong, Santiago Grijalva, Duen Horng (Polo) Chau, Minsuk Kahng
  ACM International Conference on Intelligent User Interfaces (IUI 2016) (Poster), 2016.
  DOI
• TimeStitch: Interactive Multi-focus Cohort Discovery and Comparison
  Peter Polack, Shang-Tse Chen, Minsuk Kahng, Moushumi Sharmin, Duen Horng (Polo) Chau
  IEEE Conference on Visual Analytics Science and Technology (VAST 2015) (Poster), IEEE, 2015.
  DOI PDF
• AdaptiveNav: Adaptive Discovery of Interesting and Surprising Nodes in Large Graphs
  Robert Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau
  IEEE VIS Conference (VIS 2015) (Poster), 2015.
  PDF
• A Visual Analytics Approach to Understanding Care Process Variation and Conformance
  Rahul C. Basole, Hyunwoo Park, Mayank Gupta, Mark Braunstein, Duen Horng (Polo) Chau, Michael Thompson, Vikas Kumar, Robert Pienta, Minsuk Kahng
  Workshop on Visual Analytics in Healthcare (at VIS 2015), 2015.
  DOI
• Bicentric Visualization of Pediatric Asthma Care Process Activities
  Rahul C. Basole, Hyunwoo Park, Vikas Kumar, Mark Braunstein, James Bost, Duen Horng (Polo) Chau, Minsuk Kahng
  IEEE VIS Workshop on EHR Data (at VIS 2014), 2014.
  PDF
• Towards Scalable Graph Computation on Mobile Devices
  Yiqi Chen, Zhiyuan Lin, Robert Pienta, Minsuk Kahng, Duen Horng (Polo) Chau
  IEEE BigData Workshop on Scalable Machine Learning (at BigData 2014), 2014.
  DOI PDF
• Exploring Clinical Care Processes Using Visual and Data Analytics: Challenges and Opportunities
  Vikas Kumar, Hyunwoo Park, Rahul C. Basole, Mark Braunstein, Minsuk Kahng, Duen Horng (Polo) Chau, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burton Lesnick, Beth Schissel, Michael Thompson
  KDD Workshop on Data Science for Social Good (at KDD 2014), 2014.
  PDF
• GLOs: Graph-Level Operations for Exploratory Network Visualization
  Charles D. Stolper, Florian Foerster, Minsuk Kahng, Zhiyuan Lin, Aakash Goel, John Stasko, and Duen Horng (Polo) Chau
  ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2014 Extended Abstracts), 2014.
  DOI PDF
• 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
  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.
  Best Paper Award
  DOI PDF Slides
• 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
• Si-Fi: Interactive Similar Item Finder
  Inbeom Hwang, Minsuk Kahng, Sung Eun Park, Jinwook Seo, Sang-goo Lee
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010) (Demo), 2010.
  DOI

Book Chapters and Invited Papers

• Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities
  Peter J. Polack Jr., Moushumi Sharmin, Kaya de Barbaro, Minsuk Kahng, Shang-Tse Chen, Duen Horng (Polo) Chau
  Mobile Health: Sensors, Analytic Methods, and Applications, Springer, 2017.
  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
• Exploiting Contextual Information from Event Logs for Personalized Recommendation
  Dongjoo Lee, Sung Eun Park, Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
  Computer and Information Science 2010, Studies in Computational Intelligence, Springer, 2010.
  DOI