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ORCIDJunghoon Chae
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2020 – today
- 2024
[c21]Junghoon Chae, Chad A. Steed, Travis S. Humble:
Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization. ISVLSI 2024: 613-618- [i2]Junghoon Chae, Chad A. Steed, Travis S. Humble:
Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization. CoRR abs/2409.06159 (2024) - 2023
- [c20]Chad A. Steed, Junghoon Chae, Samudra Dasgupta, Travis S. Humble:
QVis: A Visual Analytics Tool for Exploring Noise and Errors in Quantum Computing Systems. QCE 2023: 211-214 - [c19]Junghoon Chae, Byung H. Park, Minsu Kim, Everett Neil Rush
, Özgür Özmen, Makoto Jones, Merry Ward, Jonathan R. Nebeker:
CPViz: Visualizing clinical pathways represented in higher-order networks. Visualization and Data Analysis 2023: 1-8 - 2022
- [c18]Sangkeun Lee, Supriya Chinthavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers:
Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components. IEEE Big Data 2022: 6749-6751 - 2021
- [c17]Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok:
Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. IEEE BigData 2021: 4381-4386 - [c16]Supriya Chinthavali, Sangkeun Lee, Michael R. Starke, Junghoon Chae, Varisara Tansakul, Jeffrey Munk, Helia Zandi, P. Teja Kuruganti, Heather Buckberry, Mahabir Bhandari, James Leverette:
Data Analysis Approach for Large Data Volumes in a Connected Community. ISGT 2021: 1-5 - [c15]Ayush Bhardwaj, Junghoon Chae, Richard Huynh Noeske, Jin Ryong Kim:
TangibleData: Interactive Data Visualization with Mid-Air Haptics. VRST 2021: 29:1-29:11 - 2020
- [j4]Chad A. Steed, John R. Goodall, Junghoon Chae, Artem Trofimov:
CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences. Graph. Vis. Comput. 3: 200013 (2020) - [c14]Junghoon Chae, Byung H. Park, Makoto Jones, Merry Ward, Jonathan R. Nebeker:
Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease. CBMS 2020: 453-456
2010 – 2019
- 2019
- [c13]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:
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 2019: 1488-1496 - [c12]Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad A. Steed:
Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations. IEEE BigData 2019: 1759-1764 - [c11]Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok:
Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData 2019: 4498-4502 - [c10]Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok:
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. MLHPC@SC 2019: 9-18 - [c9]Junghoon Chae, Chad A. Steed, John R. Goodall, Steven Hahn:
Dynamic Color Mapping with a Multi-Scale Histogram: A Design Study with Physical Scientists. Visualization and Data Analysis 2019 - [i1]Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz:
Exascale Deep Learning to Accelerate Cancer Research. CoRR abs/1909.12291 (2019) - 2016
- [b1]Junghoon Chae:
Visual analytics of location-based social networks for decision support. Purdue University, USA, 2016 - [j3]Jiawei Zhang, Benjamin Ahlbrand, Abish Malik, Junghoon Chae, Zhiyu Min, Sungahn Ko, David S. Ebert:
A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation. Comput. Graph. Forum 35(3): 441-450 (2016) - [j2]Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, David S. Ebert:
A Survey on Visual Analysis Approaches for Financial Data. Comput. Graph. Forum 35(3): 599-617 (2016) - 2015
- [c8]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:
Visual analytics for detecting communication patterns. VAST 2015: 137-138 - [c7]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:
Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge. VAST 2015: 149-150 - [c6]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:
ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1. VAST 2015: 179-180 - [c5]Junghoon Chae, Yuchen Cui, Yun Jang, Guizhen Wang, Abish Malik, David S. Ebert:
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media. EuroVA@EuroVis 2015: 43-47 - 2014
- [j1]Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert:
Public behavior response analysis in disaster events utilizing visual analytics of microblog data. Comput. Graph. 38: 51-60 (2014) - [c4]Sungahn Ko, Shehzad Afzal, Simon J. Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David S. Ebert:
Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration. IEEE VAST 2014: 83-92 - 2013
- [c3]Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert:
Visual Analytics of Microblog Data for Public Behavior Analysis in Disaster Events. EuroVA@EuroVis 2013 - 2012
- [c2]Junghoon Chae, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, Thomas Ertl:
Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition. IEEE VAST 2012: 143-152 - 2011
- [c1]Junghoon Chae, Insoo Woo, SungYe Kim, Ross Maciejewski, Fengqing Zhu, Edward J. Delp, Carol J. Boushey, David S. Ebert:
Volume estimation using food specific shape templates in mobile image-based dietary assessment. Computational Imaging 2011: 78730K
Coauthor Index
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