Junghoon Chae

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 16

Top Topics

Molecular Dynamics

Visual Analytics

Grand Challenge

Movement Patterns

Top Venues

Comput. Graph. Forum

Publications

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)
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)
Sangkeun Lee, Supriya Chintavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers
Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components. Big Data (2022)
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)
Supriya Chinthavali, Sangkeun Lee, Michael 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)
Ayush Bhardwaj, Junghoon Chae, Richard Huynh Noeske, Jin Ryong Kim
TangibleData: Interactive Data Visualization with Mid-Air Haptics. VRST (2021)
Junghoon Chae, Byung Hoon Park, Makoto Jones, Merry Ward, Jonathan R. Nebeker
Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease. CBMS (2020)
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 (2020)
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)
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)
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 (2019)
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)
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)
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)
Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, K. Beck, Yun Jang, William Ribarsky, David S. Ebert
A Survey on Visual Analysis Approaches for Financial Data. Comput. Graph. Forum 35 (3) (2016)
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) (2016)
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)
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)
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)
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)
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 (2014)
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)
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)
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)
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)