Oh⁠-⁠Hyun Kwon

I am a Ph.D. candidate in computer science at the University of California, Davis. My general research interest is to design visualization and machine learning techniques that help people understand complex data and communicate their findings. Recently, I have created machine learning models that assist users in producing effective visualizations for data analysis and communication.

Education

Ph.D. Student in Computer Science

University of California, Davis, Advisor: Kwan⁠-⁠Liu Ma

Jan 2016 – Present

M.S. in Computer Science

University of California, Davis

Aug 2017

Bachelor of Media

Ajou University, Advisor: Kyungwon Lee

Feb 2013

Experience

Graduate Student Researcher

VIDI Labs, University of California, Davis

Jan 2016 – Present

Teaching Assistant

ECS289H Immersive Visualization, University of California, Davis

Fall 2019

Visiting Scholar

Institute of Statistical Science, Academia Sinica

May 2019

Guest Lecturer

ECS163 Information Interfaces and ECS272 Information Visualization, University of California, Davis

Winter 2019

Visiting Student Researcher

VIDI Labs, University of California, Davis

Sep 2014 – Dec 2015

Freelance Software Engineer

Developed software applications (e.g., data visualization systems, interactive kiosks, and content management systems) for various companies and research groups including Samsung Electronics, S-OIL, Korea Institute of Science and Technology, Korea Gas Corporation, Seoul National University, Seoul Dongdaemun Design Plaza, and 25Frame.

Jul 2008 – Aug 2014

User Experience Designer

Samsung Software Membership (a long-term, part-time internship program in Samsung Electronics)

Jul 2009 – Apr 2012

Instructor

Interactive Media Arts Course, MotionLab. Taught artists and graphic designers with no prior programming experience to create interactive media arts using Processing and Arduino.

Dec 2009 – Dec 2010

Publications

Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

Suyun Bae*, Oh⁠-⁠Hyun Kwon*, Senthil Chandrasegaran, and Kwan⁠-⁠Liu Ma, Conditionally accepted to the ACM CHI Conference on Human Factors in Computing Systems 2020 (*equally contributed)

2020

A Study of Mental Maps in Immersive Network Visualization

Joseph Kotlarek, Oh⁠-⁠Hyun Kwon, Kwan⁠-⁠Liu Ma, Peter Eades, Andreas Kerren, Karsten Klein, and Falk Schreiber, Conditionally accepted to the IEEE Pacific Visualization Symposium 2020

2020

A Study of Colormaps in Network Visualization

Raja Mubashar Karim, Oh⁠-⁠Hyun Kwon, Chanhee Park, and Kyungwon Lee, Applied Sciences, 9(20):4228

Oct 2019

Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning

Takanori Fujiwara, Oh⁠-⁠Hyun Kwon, and Kwan⁠-⁠Liu Ma, arXiv:1905.03911, IEEE Transactions on Visualization and Computer Graphics, 26(1):45–55, In Proc. IEEE VIS 2019 (VAST, acceptance rate: 24.7%), Best Paper Honorable Mention Award (Top 3 of 170 submissions)

May 2019

A Deep Generative Model for Graph Layout

Oh⁠-⁠Hyun Kwon and Kwan⁠-⁠Liu Ma, arXiv:1904.12225, IEEE Transactions on Visualization and Computer Graphics, 26(1):665–675, In Proc. IEEE VIS 2019 (InfoVis, acceptance rate: 24.8%), Featured on HotComputerScience as the most popular computer science paper of the day (Jul 18, 2019)

Apr 2019

What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization

Oh⁠-⁠Hyun Kwon, Tarik Crnovrsanin, and Kwan⁠-⁠Liu Ma, IEEE Transactions on Visualization and Computer Graphics, 24(1):478–488, In Proc. IEEE VIS 2017 (InfoVis, acceptance rate: 22.9%)

Jan 2018

GraphRay: Distributed Pathfinder Network Scaling

Alessio Arleo, Oh⁠-⁠Hyun Kwon, and Kwan⁠-⁠Liu Ma, In Proc. IEEE Symposium on Large Data Analysis and Visualization 2017 (acceptance rate: 30.3%), pages 74–83

Oct 2017

A Study of Layout, Rendering, and Interaction Methods for Immersive Graph Visualization

Oh⁠-⁠Hyun Kwon, Chris Muelder, Kyungwon Lee, and Kwan⁠-⁠Liu Ma, IEEE Transactions on Visualization and Computer Graphics, 22(7):1802–1815, Invited talk at IEEE VIS 2016 (InfoVis)

Jul 2016

Spherical Layout and Rendering Methods for Immersive Graph Visualization

Oh⁠-⁠Hyun Kwon, Chris Muelder, Kyungwon Lee, and Kwan⁠-⁠Liu Ma, In Proc. IEEE Pacific Visualization Symposium 2015 (Visualization Notes, acceptance rate: 43.2%), pages 63–67, Best Note Award (Top 1 of 37 submissions)

Apr 2015

Posters and Contests

North Korea: Real or Paper Tiger?

Hide Shidara, Chris Bryan, Oh⁠-⁠Hyun Kwon, and Kwan⁠-⁠Liu Ma, IEEE Pacific Visualization Symposium 2018 Visual Storytelling Contest

Apr 2018

Bullies and Victims: How Bullying Incidents Vary in Grades and How They are Reported

Oh⁠-⁠Hyun Kwon, Jia-Kai Chou, and Kwan⁠-⁠Liu Ma, IEEE Pacific Visualization Symposium 2017 Visual Storytelling Contest, Winner

Apr 2017

Proximity Based Circular Visualization for Similarity Analysis of UNGA Voting Patterns

Hyoji Ha, Seongmin Mun, Oh⁠-⁠Hyun Kwon, and Kyungwon Lee, In Proc. International Symposium on Big Data Visual Analytics 2015 Posters

Sep 2015

Proximity-based Visualization of UNGA Voting Data

Oh⁠-⁠Hyun Kwon, Byung-Won On, Manjai Lee, and Kyungwon Lee, In Proc. International Workshop on Vision, Modeling and Visualization 2014 Posters

Oct 2014

Interaction Techniques for a Strata Treemap

Oh⁠-⁠Hyun Kwon, Junghong Choi, and Kyungwon Lee, In Proc. IEEE Symposium on Large Data Analysis and Visualization 2012 Posters

Oct 2012

Strata Treemaps

Junghong Choi, Oh⁠-⁠Hyun Kwon, and Kyungwon Lee, In Proc. ACM SIGGRAPH 2011 Posters, ACM Student Research Competition Semi-finalist

Aug 2011

Service

Program Committee

2020

Reviewer

ACM CHI Conference on Human Factors in Computing Systems (CHI)

2020

ACM SIGGRAPH

2018

ACM Symposium on Virtual Reality Software and Technology (VRST)

2018

Eurographics/IEEE VGTC Conference on Visualization (EuroVis)

2017, 2019

EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRVVV)

2017, 2018

IEEE Conference on Visual Analytics Science and Technology (VAST)

2017–2019

IEEE Conference on Information Visualization (InfoVis)

2017–2019

IEEE Conference on Scientific Visualization (SciVis)

2018

IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

2019, 2020

IEEE International Conference on Big Data (BigData)

2017–2019

IEEE Pacific Visualization Symposium (PacificVis)

2017–2020

IEEE Symposium on Large Data Analysis and Visualization (LDAV)

2016

IEEE Transactions on Visualization and Computer Graphics (TVCG)

2019

International Symposium on Graph Drawing and Network Visualization (GD)

2016, 2019

Frontiers of Information Technology & Electronic Engineering

2019

Journal of Visualization

2017

Pacific Graphics

2018

Talks

Machine Learning Methods for Network Visualization and Analysis

Samsung Research America

Nov 6, 2019

A Deep Generative Model for Graph Layout

IEEE VIS 2019

Oct 23, 2017

Visualizing Network Data

Guest Lecture in ECS289H Immersive Visualization at the University of California, Davis

Oct 17, 2019

Virtual Reality Technology and Programming

Guest Lecture in ECS289H Immersive Visualization at the University of California, Davis

Oct 3, 2019

Machine Learning Methods for Network Visualization and Analysis

Institute of Statistical Science, Academia Sinica

May 22, 2019

Machine Learning Methods for Network Visualization and Analysis

Institute of Sociology, Academia Sinica

May 13, 2019

Immersive Visualization

Guest Lectures in ECS163 Information Interfaces and ECS272 Information Visualization at the University of California, Davis

Feb 21, 2019

Machine Learning and Visualization

Guest Lectures in ECS163 Information Interfaces and ECS272 Information Visualization at the University of California, Davis

Feb 19, 2019

What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization

UC Davis Network Science Meeting

Dec 13, 2017

What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization

IEEE VIS 2017 (InfoVis)

Oct 5, 2017

GraphRay: Distributed Pathfinder Network Scaling

IEEE Symposium on Large Data Analysis and Visualization 2017

Oct 2, 2017

A Machine Learning Approach to Large Graph Visualization

Department of Digital Media, Ajou University

May 2, 2017

A Study of Layout, Rendering, and Interaction Methods for Immersive Graph Visualization

IEEE VIS 2016 (InfoVis)

Oct 25, 2016

Immersive Graph Visualization

Department of Digital Media, Ajou University

Apr 29, 2015

Spherical Layout and Rendering Methods for Immersive Graph Visualization

IEEE Pacific Visualization Symposium 2015

Apr 15, 2015

Honors and Awards

Best Paper Honorable Mention Award (Top 3 of 170 submissions), IEEE VIS 2019 (VAST)

Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning, Takanori Fujiwara, Oh⁠-⁠Hyun Kwon, Kwan⁠-⁠Liu Ma

Oct 2019

Winner, IEEE PacificVis 2017 Visual Storytelling Contest

Bullies and Victims: How Bullying Incidents Vary in Grades and How They are Reported, Oh⁠-⁠Hyun Kwon, Jia-Kai Chou, and Kwan⁠-⁠Liu Ma

Apr 2017

Unreal Dev Grant, Epic Games

Received a HTC Vive developer kit

Apr 2016

Best Note Award (Top 1 of 37 submissions), IEEE PacificVis 2015

Spherical Layout and Rendering Methods for Immersive Graph Visualization, Oh⁠-⁠Hyun Kwon, Chris Muelder, Kyungwon Lee, and Kwan⁠-⁠Liu Ma

Apr 2015

Visiting Scholar Grant, Ajou University

Received KRW 36,000,000 (approx. USD 34,000)

Sep 2014 – Aug 2015

Winner in Science and Engineering, Ajou Undergraduate Research Award

Strata Treemap, Oh⁠-⁠Hyun Kwon and Jaeho Lee

Oct 2012

Semi-finalist, ACM Student Research Competition 2011

Strata Treemaps, Junghong Choi and Oh⁠-⁠Hyun Kwon, Advisor: Kyungwon Lee

Aug 2011

Winner in Advertisement Design, Shinsegae Frontier Awards

Ryong Hwang, Myeongcheol Shin, and Oh⁠-⁠Hyun Kwon

Sep 2009

Patents

Treemap Visualization Method and Device Using the Method

Oh⁠-⁠Hyun Kwon and Kyungwon Lee, Korea Patent 10-1782816

May 2015

System for Controlling Treemap and Method thereof

Kyungwon Lee, Oh⁠-⁠Hyun Kwon, and Junghong Choi, Korea Patent 10-1277487

Oct 2012

Media

NSF highlights the immersive graph visualization work

Sep 2016

Chosunilbo, a major news media in Korea, highlights the strata treemap work

Nov 2011