Oh-Hyun Kwon

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 19

Top Topics

Visual Analytics

Convolutional Neural Networks

Volume Visualization

Dimensionality Reduction

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Oh-Hyun Kwon, Inho Hong, Woo-Sung Jung, Hang-Hyun Jo
Multiple gravity laws for human mobility within cities. EPJ Data Sci. 12 (1) (2023)
Oh-Hyun Kwon, Chiun-How Kao, Chun-Houh Chen, Kwan-Liu Ma
A Deep Generative Model for Reordering Adjacency Matrices. IEEE Trans. Vis. Comput. Graph. 29 (7) (2023)
Xiwei Xuan, Xiaoyu Zhang, Oh-Hyun Kwon, Kwan-Liu Ma
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks. IEEE Trans. Vis. Comput. Graph. 28 (6) (2022)
David Bauer, Chengbo Zheng, Oh-Hyun Kwon, Kwan-Liu Ma
A Multi-Layout Approach to Immersive Visualization of Network Data. CoRR (2021)
Oh-Hyun Kwon, Chiun-How Kao, Chun-Houh Chen, Kwan-Liu Ma
A Deep Generative Model for Matrix Reordering. CoRR (2021)
Oh-Hyun Kwon, Inho Hong, Jeasurk Yang, Donghee Yvette Wohn, Woo-Sung Jung, Meeyoung Cha
Urban green space and happiness in developed countries. EPJ Data Sci. 10 (1) (2021)
Xiwei Xuan, Xiaoyu Zhang, Oh-Hyun Kwon, Kwan-Liu Ma
CNNC: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks. CoRR (2021)
Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil K. Chandrasegaran, Kwan-Liu Ma
Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations. CHI (2020)
Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma, Peter Eades, Andreas Kerren, Karsten Klein, Falk Schreiber
A Study of Mental Maps in Immersive Network Visualization. CoRR (2020)
Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma, Peter Eades, Andreas Kerren, Karsten Klein, Falk Schreiber
A Study of Mental Maps in Immersive Network Visualization. PacificVis (2020)
Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil K. Chandrasegaran, Kwan-Liu Ma
Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations. CoRR (2020)
Oh-Hyun Kwon, Kwan-Liu Ma
A Deep Generative Model for Graph Layout. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning. CoRR (2019)
Oh-Hyun Kwon, Kwan-Liu Ma
A Deep Generative Model for Graph Layout. CoRR (2019)
Oh-Hyun Kwon, Tarik Crnovrsanin, Kwan-Liu Ma
What Would a Graph Look Like in this Layout? A Machine Learning Approach to Large Graph Visualization. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Alessio Arleo, Oh-Hyun Kwon, Kwan-Liu Ma
GraphRay: Distributed pathfinder network scaling. LDAV (2017)
Oh-Hyun Kwon, Tarik Crnovrsanin, Kwan-Liu Ma
What Would a Graph Look Like in This Layout? A Machine Learning Approach to Large Graph Visualization. CoRR (2017)
Oh-Hyun Kwon, Chris Muelder, Kyungwon Lee, Kwan-Liu Ma
A Study of Layout, Rendering, and Interaction Methods for Immersive Graph Visualization. IEEE Trans. Vis. Comput. Graph. 22 (7) (2016)
Oh-Hyun Kwon, Chris Muelder, Kyungwon Lee, Kwan-Liu Ma
Spherical layout and rendering methods for immersive graph visualization. PacificVis (2015)
Hyoji Ha, Seongmin Mun, Oh-Hyun Kwon, Kyungwon Lee
Proximity Based Circular Visualization for Similarity Analysis of UNGA Voting Patterns. BDVA (2015)
Oh-Hyun Kwon
Eco-friendly semiconductor technologies for healthy living. ISSCC (2011)
Junghong Choi, Oh-Hyun Kwon, Kyungwon Lee
Strata treemaps. SIGGRAPH Posters (2011)
Dong-Chul Park, Oh-Hyun Kwon, Jio Chung
Centroid Neural Network With a Divergence Measure for GPDF Data Clustering. IEEE Trans. Neural Networks 19 (6) (2008)
Oh-Hyun Kwon, Sun-Myung Hwang
Mobile GUI Testing Tool based on Image Flow. ACIS-ICIS (2008)
Oh-Hyun Kwon
Perspective of the Future Semiconductor Industry: Challenges and Solutions. DAC (2007)
Oh-Hyun Kwon, Sung-Min Cho
Design and Implementation of Control Point under the Home Network Environments. SERA (2007)
Haeng-Kon Kim, Oh-Hyun Kwon
SCTE: Software Component Testing Environments. ICCSA (2) (2005)