100 citations · 326 across the 8 of their papers we have counts for
8 papers
A Multi-Layout Design for Immersive Visualization of Network Data
David Bauer, Chengbo Zheng, Oh-Hyun Kwon +1
Visualization plays a vital role in making sense of complex network data. Recent studies have shown the potential of using extended reality (XR) for the immersive exploration of ne…
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks
Xiwei Xuan, Xiaoyu Zhang, Oh-Hyun Kwon +1
The rapid development of Convolutional Neural Networks (CNNs) in recent years has triggered significant breakthroughs in many machine learning (ML) applications. The ability to und…
A Deep Generative Model for Reordering Adjacency Matrices
Oh-Hyun Kwon, Chiun-How Kao, Chun-houh Chen +1
Depending on the node ordering, an adjacency matrix can highlight distinct characteristics of a graph. Deriving a "proper" node ordering is thus a critical step in visualizing a gr…
A Study of Mental Maps in Immersive Network Visualization
Joseph Kotlarek, Oh-Hyun Kwon, Kwan-Liu Ma +4
The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investigate the effects of a 3D immers…
Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations
Suyun "Sandra" Bae, Oh-Hyun Kwon, Senthil Chandrasegaran +1
Mind mapping is a popular way to explore a design space in creative thinking exercises, allowing users to form associations between concepts. Yet, most existing digital tools for m…
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning
Takanori Fujiwara, Oh-Hyun Kwon, Kwan-Liu Ma
Dimensionality reduction (DR) is frequently used for analyzing and visualizing high-dimensional data as it provides a good first glance of the data. However, to interpret the DR re…
A Deep Generative Model for Graph Layout
Oh-Hyun Kwon, Kwan-Liu Ma
Different layouts can characterize different aspects of the same graph. Finding a "good" layout of a graph is thus an important task for graph visualization. In practice, users oft…
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
Using different methods for laying out a graph can lead to very different visual appearances, with which the viewer perceives different information. Selecting a "good" layout metho…