SCTE: Software Component Testing Environments. - Haeng-Kon Kim; Oh-Hyun Kwon (ICCSA (2), 2005)

Perspective of the Future Semiconductor Industry: Challenges and Solutions. - Oh-Hyun Kwon (DAC, 2007)

Design and Implementation of Control Point under the Home Network Environments. - Oh-Hyun Kwon; Sung-Min Cho (SERA, 2007)

Mobile GUI Testing Tool based on Image Flow. - Oh-Hyun Kwon; Sun-Myung Hwang (ACIS-ICIS, 2008)

Centroid Neural Network With a Divergence Measure for GPDF Data Clustering. - Dong-Chul Park; Oh-Hyun Kwon; Jio Chung (IEEE Trans. Neural Networks, 2008)

Eco-friendly semiconductor technologies for healthy living. - Oh-Hyun Kwon (ISSCC, 2011)

Strata treemaps. - Junghong Choi; Oh-Hyun Kwon; Kyungwon Lee (SIGGRAPH Posters, 2011)

Spherical layout and rendering methods for immersive graph visualization. - Oh-Hyun Kwon; Chris Muelder; Kyungwon Lee; Kwan-Liu Ma (PacificVis, 2015)

Proximity Based Circular Visualization for Similarity Analysis of UNGA Voting Patterns. - Hyoji Ha; Seongmin Mun; Oh-Hyun Kwon; Kyungwon Lee (BDVA, 2015)

A Study of Layout, Rendering, and Interaction Methods for Immersive Graph Visualization. - Oh-Hyun Kwon; Chris Muelder; Kyungwon Lee; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2016)

GraphRay: Distributed pathfinder network scaling. - Alessio Arleo; Oh-Hyun Kwon; Kwan-Liu Ma (LDAV, 2017)

What Would a Graph Look Like in this Layout? A Machine Learning Approach to Large Graph Visualization. - Oh-Hyun Kwon; Tarik Crnovrsanin; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2018)

A Study of Mental Maps in Immersive Network Visualization. - Joseph Kotlarek; Oh-Hyun Kwon; Kwan-Liu Ma; Peter Eades; Andreas Kerren; Karsten Klein 001; Falk Schreiber (PacificVis, 2020)

Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations. - Suyun "Sandra" Bae; Oh-Hyun Kwon; Senthil K. Chandrasegaran; Kwan-Liu Ma (CHI, 2020)

Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning. - Takanori Fujiwara; Oh-Hyun Kwon; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2020)

A Deep Generative Model for Graph Layout. - Oh-Hyun Kwon; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2020)

A Deep Generative Model for Matrix Reordering. - Oh-Hyun Kwon; Chiun-How Kao; Chun-Houh Chen; Kwan-Liu Ma (CoRR, 2021)

CNNC: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks. - Xiwei Xuan; Xiaoyu Zhang 014; Oh-Hyun Kwon; Kwan-Liu Ma (CoRR, 2021)

A Multi-Layout Approach to Immersive Visualization of Network Data. - David Bauer; Chengbo Zheng; Oh-Hyun Kwon; Kwan-Liu Ma (CoRR, 2021)

Urban green space and happiness in developed countries. - Oh-Hyun Kwon; Inho Hong; Jeasurk Yang; Donghee Yvette Wohn; Woo-Sung Jung; Meeyoung Cha (EPJ Data Sci., 2021)

VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks. - Xiwei Xuan; Xiaoyu Zhang 014; Oh-Hyun Kwon; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2022)

A Deep Generative Model for Reordering Adjacency Matrices. - Oh-Hyun Kwon; Chiun-How Kao; Chun-Houh Chen; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2023)

Multiple gravity laws for human mobility within cities. - Oh-Hyun Kwon; Inho Hong; Woo-Sung Jung; Hang-Hyun Jo (EPJ Data Sci., 2023)

A Multi-Layout Design For Immersive Visualization of Hierarchical Network Data. - David Bauer; Chengbo Zheng; Oh-Hyun Kwon; Kwan-Liu Ma (ISMAR, 2024)