Minsuk Kahng

Hi, I'm a final-year computer science PhD student at Georgia Tech, advised by Polo Chau.

I'll be joining Oregon State University as an Assistant Professor in the School of Electrical Engineering and Computer Science this winter!

My research on "Human-Centered AI through Scalable Visual Data Analytics" focuses on building novel data visualization tools for helping people explore, interpret, and interact with machine learning systems, by combining methods from data visualization, machine learning, databases, data mining, and human-computer interaction.

I have been supported by a Google PhD Fellowship and an NSF Graduate Research Fellowship. During my PhD studies, I have been fortunate to work with amazing people at Google Brain and Facebook Research, resulting in publications and open-sourced and deployed systems.

Prior to Georgia Tech, I completed both my master's and bachelor's degrees at Seoul National University in South Korea.

News

July 2019 New paper, FairVis, on visual analysis of ML bias accepted to IEEE VIS'19!
June 2019 I'll be joining Oregon State University as an Assistant Professor this winter!
Sept 2018 New paper, GAN Lab, accepted to IEEE VIS'18. Try our live system here!
May 2018 New survey paper on visual analytics for deep learning accepted to IEEE TVCG.
Apr 2018 Thrilled to be awarded a Google PhD Fellowship!

Research Highlights

ActiVis

Visual Exploration of Industry-Scale Deep Learning Models

Collaborated with Facebook. Presented at IEEE VIS'17

DOI PDF Video Website

GAN Lab

Playing with Generated Adversarial Networks in Browser

Collaborated with Google Brain's PAIR. Presented at IEEE VIS'18

DOI PDF Code Website

ETable

Interactive Browsing and Navigation in Relational Databases

Presented at VLDB'16

DOI PDF Slides

Education

Ph.D. Candidate in Computer Science, Georgia Institute of Technology, USA 2013-2019
Thesis: Human-Centered AI through Scalable Visual Data Analytics
Committee: Polo Chau, Sham Navathe, Alex Endert, Martin Wattenberg, Fernanda Viégas
M.S. in Computer Science and Engineering, Seoul National University, South Korea 2009-2011
Thesis: Context-Aware Recommendation using Learning-to-Rank
B.S. in Electrical and Computer Engineering, Seoul National University, South Korea 2005-2009

Awards (selected)

Google PhD Fellowship, Google AI 2018-2019
Graduate TA of the Year in School of Computer Science, Georgia Tech Apr 2018
NSF Graduate Research Fellowship, National Science Foundation 2014-2017
Best Paper Award, PhD Workshop at CIKM Oct 2011
National Scholarship for Science and Engineering, Korea Student Aid Foundation 2005-2009

Industry Research Experience

Google, Software Engineering Intern at Google Brain's People+AI Research Group Summer 2017
Facebook, Research Intern at Applied ML Research Group Summer 2016
Facebook, Research Intern at Applied ML Research Group Summer 2015

Selected Publications Full list (h-index: 13)

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng (Polo) Chau
IEEE Conference on Visual Analytics Science and Technology (VAST'19), 2019. (To appear)
arXiv PDF Blog Code
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'18), 2019.
Open sourced with Google AI
DOI PDF Slides Code Website
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, 25(8), 2019.
DOI PDF Website Medium
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'17), 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'17), 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'16), 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'16), 2016.
Deployed by Facebook
DOI PDF Slides
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'14), 2014.
DOI PDF Video
Exploiting Paths for Entity Search in RDF Graphs
Minsuk Kahng, Sang-goo Lee
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'12) (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'11), 2011.
DOI PDF Slides
Ranking in Context-Aware Recommender Systems
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
International Conference on World Wide Web (WWW'11) (Poster), 2011.
DOI PDF Poster

Full list of papers