Junghoon Chae - RankMe

29 papers B 3Misc 3Journal 6Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks. ICONS Junghoon Chae, Seung-Hwan Lim, Shruti R. Kulkarni, Catherine D. Schuman
2024	—	`conf`	Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization. ISVLSI Junghoon Chae, Chad A. Steed, Travis S. Humble
2024	J	`jnl`	Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization. CoRR Junghoon Chae, Chad A. Steed, Travis S. Humble
2023	Misc	`conf`	CPViz: Visualizing clinical pathways represented in higher-order networks. Visualization and Data Analysis Junghoon Chae, Byung H. Park, Minsu Kim, Everett Neil Rush, Özgür Özmen, Makoto Jones, Merry Ward, Jonathan R. Nebeker
2023	Misc	`conf`	QVis: A Visual Analytics Tool for Exploring Noise and Errors in Quantum Computing Systems. QCE Chad A. Steed, Junghoon Chae, Samudra Dasgupta, Travis S. Humble
2022	B	`conf`	Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components. IEEE Big Data Sangkeun Lee, Supriya Chinthavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers
2021	—	`conf`	Data Analysis Approach for Large Data Volumes in a Connected Community. ISGT Supriya Chinthavali, SangKeun Lee, Michael R. Starke, Junghoon Chae, Varisara Tansakul, Jeffrey Munk, Helia Zandi, P. Teja Kuruganti, Heather Buckberry, Mahabir Bhandari, James Leverette
2021	B	`conf`	TangibleData: Interactive Data Visualization with Mid-Air Haptics. VRST Ayush Bhardwaj, Junghoon Chae, Richard Huynh Noeske, Jin Ryong Kim
2021	—	`conf`	Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. IEEE BigData Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok
2020	B	`conf`	Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease. CBMS Junghoon Chae, Byung H. Park, Makoto Jones, Merry Ward, Jonathan R. Nebeker
2020	J	`jnl`	CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences. Graph. Vis. Comput. Chad A. Steed, John R. Goodall, Junghoon Chae, Artem Trofimov
2019	Misc	`conf`	Dynamic Color Mapping with a Multi-Scale Histogram: A Design Study with Physical Scientists. Visualization and Data Analysis Junghoon Chae, Chad A. Steed, John R. Goodall, Steven E. Hahn
2019	—	`conf`	Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 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
2019	J	`jnl`	Exascale Deep Learning to Accelerate Cancer Research. CoRR 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
2019	—	`conf`	Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. MLHPC@SC Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok
2019	—	`conf`	Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations. IEEE BigData Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad A. Steed
2019	—	`conf`	Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok
2016	J	`jnl`	A Survey on Visual Analysis Approaches for Financial Data. Comput. Graph. Forum Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, David S. Ebert
2016	J	`jnl`	A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation. Comput. Graph. Forum Jiawei Zhang, Benjamin Ahlbrand, Abish Malik, Junghoon Chae, Zhiyu Min, Sungahn Ko, David S. Ebert
2016	—	`—`	Visual analytics of location-based social networks for decision support Junghoon Chae
2015	—	`conf`	ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1. VAST 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
2015	—	`conf`	Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media. EuroVA@EuroVis Junghoon Chae, Yuchen Cui, Yun Jang, Guizhen Wang, Abish Malik, David S. Ebert
2015	—	`conf`	Visual analytics for detecting communication patterns. VAST 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
2015	—	`conf`	Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge. VAST 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
2014	—	`conf`	Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration. IEEE VAST Sungahn Ko, Shehzad Afzal, Simon J. Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David S. Ebert
2014	J	`jnl`	Public behavior response analysis in disaster events utilizing visual analytics of microblog data. Comput. Graph. Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert
2013	—	`conf`	Visual Analytics of Microblog Data for Public Behavior Analysis in Disaster Events. EuroVA@EuroVis Junghoon Chae, Dennis Thom, Yun Jang, SungYe Kim, Thomas Ertl, David S. Ebert
2012	—	`conf`	Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition. IEEE VAST Junghoon Chae, Dennis Thom, Harald Bosch, Yun Jang, Ross Maciejewski, David S. Ebert, Thomas Ertl
2011	—	`conf`	Volume estimation using food specific shape templates in mobile image-based dietary assessment. Computational Imaging Junghoon Chae, Insoo Woo, SungYe Kim, Ross Maciejewski, Fengqing Zhu, Edward J. Delp, Carol J. Boushey, David S. Ebert