Oh-Hyun Kwon

I build data visualization and machine learning systems at Apple. I am also completing my PhD in Computer Science at the University of California, Davis, where I work with Prof. Kwan⁠-⁠Liu Ma. During my Ph.D. study, I have created machine learning techniques that assist users in producing effective visualizations of a network.

Industry Experience

Jun 2020 – Present

Apple

Design and develop data visualization and machine learning systems for analyzing large-scale data.

Nov 2019 – Jun 2020

Samsung Technology & Advanced Research Labs (Intern)

Designed and developed data visualization systems and deep learning models for analyzing large-scale networks.

Jul 2008 – Aug 2014

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 2009 – Apr 2012

Samsung Software Membership (Intern)

Designed user experience of web and mobile applications. Focused on scenarios, graphical user interfaces, and motion graphics design. Samsung Software Membership was a long-term, part-time internship program at Samsung Electronics.

Academic Research Experience

Jan 2016 – Jun 2020

Graduate Student Researcher

VIDI Labs, University of California, Davis

May 2019

Visiting Scholar

Institute of Statistical Science, Academia Sinica

Sep 2014 – Dec 2015

Visiting Student Researcher

VIDI Labs, University of California, Davis

Teaching Experience

Fall 2019

Teaching Assistant, University of California, Davis

ECS289H Immersive Visualization

Winter 2019, Winter 2020

Guest Lecturer, University of California, Davis

ECS163 Information Interfaces and ECS272 Information Visualization

Dec 2009 – Dec 2010

Instructor, MotionLab

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

Education

Jan 2016 – Present

Ph.D. Student in Computer Science

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

2017

M.S. in Computer Science

University of California, Davis

2013

Bachelor of Media

Ajou University, Advisor: Kyungwon Lee

Publications

Apr 2020

Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

Suyun Bae*, Oh⁠-⁠Hyun Kwon*, Senthil Chandrasegaran, and Kwan⁠-⁠Liu Ma, In Proc. ACM CHI 2020 (*equally contributed, acceptance rate: 24.3%)

Apr 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, In Proc. IEEE Pacific Visualization Symposium 2020 (acceptance rate: 24.0%)

Oct 2019

A Study of Colormaps in Network Visualization

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

May 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)

Apr 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)

Jan 2018

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%)

Oct 2017

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

Jul 2016

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)

Apr 2015

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)

Posters and Contests

Apr 2018

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 2017

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

Sep 2015

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

Oct 2014

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 2012

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

Aug 2011

Strata Treemaps

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

Service

Program Committee

2020

Jury

2020

IEEE PacificVis 2020 Visual Data Storytelling Contest

Reviewer

2020

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

2018

ACM SIGGRAPH

2020

ACM SIGGRAPH Asia

2018

ACM Symposium on Virtual Reality Software and Technology (VRST)

2020

American Medical Informatics Association Annual Symposium (AMIA)

2020

Computer Graphics Forum

2017, 2019–2020

Eurographics/IEEE VGTC Conference on Visualization (EuroVis)

2017–2018

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

2017–2019

IEEE Conference on Visual Analytics Science and Technology (VAST)

2017–2020

IEEE Conference on Information Visualization (InfoVis)

2018

IEEE Conference on Scientific Visualization (SciVis)

2019–2020

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

2017–2019

IEEE International Conference on Big Data (BigData)

2017–2020

IEEE Pacific Visualization Symposium (PacificVis)

2016

IEEE Symposium on Large Data Analysis and Visualization (LDAV)

2019–2020

IEEE Transactions on Visualization and Computer Graphics (TVCG)

2016, 2019–2020

International Symposium on Graph Drawing and Network Visualization (GD)

2019

Frontiers of Information Technology & Electronic Engineering

2017

Journal of Visualization

2018

Pacific Graphics

Talks

Mar 10, 2020

Immersive Visualization

Guest Lecture in ECS272 Information Visualization at the University of California, Davis

Feb 25, 2020

Immersive Visualization

Guest Lecture in ECS163 Information Interfaces at the University of California, Davis

Feb 13, 2020

Machine Learning and Visualization

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

Nov 6, 2019

Machine Learning Methods for Network Visualization and Analysis

Samsung Research America

Oct 23, 2017

A Deep Generative Model for Graph Layout

IEEE VIS 2019

Oct 17, 2019

Visualizing Network Data

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

Oct 3, 2019

Virtual Reality Technology and Programming

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

May 22, 2019

Machine Learning Methods for Network Visualization and Analysis

Institute of Statistical Science, Academia Sinica

May 13, 2019

Machine Learning Methods for Network Visualization and Analysis

Institute of Sociology, Academia Sinica

Feb 21, 2019

Immersive Visualization

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

Feb 19, 2019

Machine Learning and Visualization

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

Dec 13, 2017

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

UC Davis Network Science Meeting

Oct 5, 2017

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

IEEE VIS 2017 (InfoVis)

Oct 2, 2017

GraphRay: Distributed Pathfinder Network Scaling

IEEE Symposium on Large Data Analysis and Visualization 2017

May 2, 2017

A Machine Learning Approach to Large Graph Visualization

Department of Digital Media, Ajou University

Oct 25, 2016

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

IEEE VIS 2016 (InfoVis)

Apr 29, 2015

Immersive Graph Visualization

Department of Digital Media, Ajou University

Apr 15, 2015

Spherical Layout and Rendering Methods for Immersive Graph Visualization

IEEE Pacific Visualization Symposium 2015

Honors and Awards

Oct 2019

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

Apr 2017

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 2016

Unreal Dev Grant, Epic Games

Received a HTC Vive developer kit

Apr 2015

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

Sep 2014 – Aug 2015

Visiting Scholar Grant, Ajou University

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

Oct 2012

Winner in Science and Engineering, Ajou Undergraduate Research Award

Strata Treemap, Oh⁠-⁠Hyun Kwon and Jaeho Lee

Aug 2011

Semi-finalist, ACM Student Research Competition 2011

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

Sep 2009

Winner in Advertisement Design, Shinsegae Frontier Awards

Ryong Hwang, Myeongcheol Shin, and Oh⁠-⁠Hyun Kwon

Patents

May 2015

Treemap Visualization Method and Device Using the Method

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

Oct 2012

System for Controlling Treemap and Method thereof

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

Media

Sep 2016

NSF highlights the immersive graph visualization work

Nov 2011

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