Junghoon Chae

According to our database, Junghoon Chae authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization.

Junghoon Chae, Chad A. Steed, Travis S. Humble

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks.

Junghoon Chae, Seung-Hwan Lim, Shruti R. Kulkarni, Catherine D. Schuman

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

CPViz: Visualizing clinical pathways represented in higher-order networks.

Junghoon Chae, Byung H. Park, Minsu Kim, Everett Neil Rush, Özgür Özmen, Makoto Jones, Merry Ward, Jonathan R. Nebeker

Proceedings of the Visualization and Data Analysis 2023, 2023

QVis: A Visual Analytics Tool for Exploring Noise and Errors in Quantum Computing Systems.

Chad A. Steed, Junghoon Chae, Samudra Dasgupta, Travis S. Humble

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components.

Sangkeun Lee, Supriya Chinthavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers

Proceedings of the IEEE International Conference on Big Data, 2022

2021

TangibleData: Interactive Data Visualization with Mid-Air Haptics.

Ayush Bhardwaj, Junghoon Chae, Richard Huynh Noeske, Jin Ryong Kim

Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021

Data Analysis Approach for Large Data Volumes in a Connected Community.

Supriya Chinthavali, Sangkeun Lee, Michael R. Starke, Junghoon Chae, Varisara Tansakul, Jeffrey Munk, Helia Zandi, P. Teja Kuruganti, Heather Buckberry, Mahabir Bhandari, James Leverette

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis.

Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences.

Chad A. Steed, John R. Goodall, Junghoon Chae, Artem Trofimov

Graph. Vis. Comput., 2020

Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease.

Junghoon Chae, Byung H. Park, Makoto Jones, Merry Ward, Jonathan R. Nebeker

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Dynamic Color Mapping with a Multi-Scale Histogram: A Design Study with Physical Scientists.

Junghoon Chae, Chad A. Steed, John R. Goodall, Steven E. Hahn

Proceedings of the Visualization and Data Analysis 2019, 2019

Fine-Grained Exploitation of Mixed Precision for Faster CNN Training.

Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

Exascale Deep Learning to Accelerate Cancer Research.

Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Visualization System for Evolutionary Neural Networks for Deep Learning.

Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations.

Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad A. Steed

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2016

Visual analytics of location-based social networks for decision support

Junghoon Chae

PhD thesis, 2016

A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation.

Jiawei Zhang, Benjamin Ahlbrand, Abish Malik, Junghoon Chae, Zhiyu Min, Sungahn Ko, David S. Ebert

Comput. Graph. Forum, 2016

A Survey on Visual Analysis Approaches for Financial Data.

Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, David S. Ebert

Comput. Graph. Forum, 2016

2015

Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media.

Junghoon Chae, Yuchen Cui, Yun Jang, Guizhen Wang, Abish Malik, David S. Ebert

Proceedings of the 6th International EuroVis Workshop on Visual Analytics, 2015

ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1.

Jieqiong Zhao, Guizhen Wang, Junghoon Chae, Hanye Xu, Siqaio Chen, William Hatton, Sherry Towers, Mahesh Babu Gorantla, Benjamin Ahlbrand, Jiawei Zhang, Abish Malik, Sungahn Ko, David S. Ebert

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Visual analytics for detecting communication patterns.

William Hatton, Jieqiong Zhao, Mahesh Babu Gorantla, Junghoon Chae, Benjamin Ahlbrand, Hanye Xu, Siqaio Chen, Guizhen Wang, Jiawei Zhang, Abish Malik, Sungahn Ko, David S. Ebert

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge.

Junghoon Chae, Guizhen Wang, Benjamin Ahlbrand, Mahesh Babu Gorantla, Jiawei Zhang, Siqaio Chen, Hanye Xu, Jieqiong Zhao, William Hatton, Abish Malik, Sungahn Ko, David S. Ebert

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

2014

Public behavior response analysis in disaster events utilizing visual analytics of microblog data.

Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert

Comput. Graph., 2014

Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration.

Sungahn Ko, Shehzad Afzal, Simon J. Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David S. Ebert

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

2013

Visual Analytics of Microblog Data for Public Behavior Analysis in Disaster Events.

Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert

Proceedings of the 4th International EuroVis Workshop on Visual Analytics, 2013

2012

Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition.

Junghoon Chae, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, Thomas Ertl

Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012

2011

Volume estimation using food specific shape templates in mobile image-based dietary assessment.

Junghoon Chae, Insoo Woo, SungYe Kim, Ross Maciejewski, Fengqing Zhu, Edward J. Delp, Carol J. Boushey, David S. Ebert

Proceedings of the Computational Imaging IX, 2011