Volume estimation using food specific shape templates in mobile image-based dietary assessment. - Junghoon Chae; Insoo Woo; SungYe Kim; Ross Maciejewski; Fengqing Zhu 001; Edward J. Delp; Carol J. Boushey; David S. Ebert (Computational Imaging, 2011)

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 (IEEE VAST, 2012)

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 (EuroVA@EuroVis, 2013)

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 001; David S. Ebert (IEEE VAST, 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)

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 003; Siqaio Chen; Hanye Xu; Jieqiong Zhao; William Hatton; Abish Malik; Sungahn Ko; David S. Ebert (VAST, 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 003; Abish Malik; Sungahn Ko; David S. Ebert (VAST, 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 003; Abish Malik; Sungahn Ko; et al. (VAST, 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 (EuroVA@EuroVis, 2015)

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)

A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation. - Jiawei Zhang 003; Benjamin Ahlbrand; Abish Malik; Junghoon Chae; Zhiyu Min; Sungahn Ko; David S. Ebert (Comput. Graph. Forum, 2016)

Visual analytics of location-based social networks for decision support - Junghoon Chae (2016)

Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations. - Junghoon Chae; Debsindhu Bhowmik; Heng Ma; Arvind Ramanathan; Chad A. Steed (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 (IEEE BigData, 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 (IEEE BigData, 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 (MLHPC@SC, 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 (Visualization and Data Analysis, 2019)

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 (CBMS, 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)

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 (IEEE BigData, 2021)

Data Analysis Approach for Large Data Volumes in a Connected Community. - Supriya Chinthavali; Sangkeun Lee 001; Michael R. Starke; Junghoon Chae; Varisara Tansakul; Jeffrey Munk; Helia Zandi; P. Teja Kuruganti; Heather Buckberry; Mahabir Bhandari; James Leverette (ISGT, 2021)

TangibleData: Interactive Data Visualization with Mid-Air Haptics. - Ayush Bhardwaj; Junghoon Chae; Richard Huynh Noeske; Jin Ryong Kim (VRST, 2021)

Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components. - Sangkeun Lee 002; Supriya Chinthavali; Sarah Tennille; Junghoon Chae; Anika Tabassum; Varisara Tansakul; Daniel Redmon; Robert Moncrief; Aaron Myers (IEEE Big Data, 2022)

QVis: A Visual Analytics Tool for Exploring Noise and Errors in Quantum Computing Systems. - Chad A. Steed; Junghoon Chae; Samudra Dasgupta; Travis S. Humble (QCE, 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 (Visualization and Data Analysis, 2023)

SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks. - Junghoon Chae; Seung-Hwan Lim; Shruti R. Kulkarni; Catherine D. Schuman (ICONS, 2024)

Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization. - Junghoon Chae; Chad A. Steed; Travis S. Humble (ISVLSI, 2024)