Oh-Hyun Kwon

Apple

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

Samsung Research America (Intern)

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

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.

Samsung Electronics (Intern)

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

Graduate Student Researcher

VIDI Labs, University of California, Davis

Visiting Scholar

Institute of Statistical Science, Academia Sinica

Visiting Student Researcher

VIDI Labs, University of California, Davis

Teaching Assistant, University of California, Davis

ECS289H Immersive Visualization

Guest Lecturer, University of California, Davis

ECS163 Information Interfaces and ECS272 Information Visualization

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.

Ph.D. in Computer Science

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

Dissertation: Machine Learning and Immersive Approaches to Graph Visualization

M.S. in Computer Science

University of California, Davis

Bachelor of Media

Ajou University, Advisor: Kyungwon Lee

A Deep Generative Model for Reordering Adjacency Matrices

Oh⁠-⁠Hyun Kwon, Chiun⁠-⁠How Kao, Chun⁠-⁠houh Chen, and Kwan⁠-⁠Liu Ma, arXiv:2110.04971, IEEE Transactions on Visualization and Computer Graphics, 29(7):31956–3208

Paper

VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks

Xiwei Xuan, Xiaoyu Zhang, Oh⁠-⁠Hyun Kwon, and Kwan⁠-⁠Liu Ma, arXiv:2110.13252, IEEE Transactions on Visualization and Computer Graphics, 28(6):2326–2337, In Proc. IEEE Pacific Visualization Symposium 2022

Paper

Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations

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

Paper, Video Preview, Talk

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%)

Paper

A Study of Colormaps in Network Visualization

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

Paper

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)

Paper, Supplement, Video Preview, Talk

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%)

Paper, Supplement, Video Preview, Talk

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%)

Paper, Video Preview, Talk, Code (Aesthetic Metrics)

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

Paper, Code

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)

Paper, Video, Code

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)

Paper, Video

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

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

Slideshow

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

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

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

Strata Treemaps

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

Immersive Visualization

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

Immersive Visualization

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

Machine Learning and Visualization

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

Machine Learning Methods for Network Visualization and Analysis

Samsung Research America

A Deep Generative Model for Graph Layout

IEEE VIS 2019

Visualizing Network Data

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

Virtual Reality Technology and Programming

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

Machine Learning Methods for Network Visualization and Analysis

Institute of Statistical Science, Academia Sinica

Machine Learning Methods for Network Visualization and Analysis

Institute of Sociology, Academia Sinica

Immersive Visualization

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

Machine Learning and Visualization

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

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

UC Davis Network Science Meeting

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

IEEE VIS 2017 (InfoVis)

GraphRay: Distributed Pathfinder Network Scaling

IEEE Symposium on Large Data Analysis and Visualization 2017

A Machine Learning Approach to Large Graph Visualization

Department of Digital Media, Ajou University

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

IEEE VIS 2016 (InfoVis)

Immersive Graph Visualization

Department of Digital Media, Ajou University

Spherical Layout and Rendering Methods for Immersive Graph Visualization

IEEE Pacific Visualization Symposium 2015

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

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

Unreal Dev Grant, Epic Games

Received a HTC Vive developer kit

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

Visiting Scholar Grant, Ajou University

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

Winner in Science and Engineering, Ajou Undergraduate Research Award

Strata Treemap, Oh⁠-⁠Hyun Kwon and Jaeho Lee

Semi-finalist, ACM Student Research Competition 2011

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

Winner in Advertisement Design, Shinsegae Frontier Awards

Ryong Hwang, Myeongcheol Shin, and Oh⁠-⁠Hyun Kwon

Treemap Visualization Method and Device Using the Method

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

System for Controlling Treemap and Method thereof

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

NSF highlights the immersive graph visualization work

Facebook, Twitter

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

Article (Korean)