Interactively Visualizing Procedurally Encoded Scalar Fields. - Yun Jang; Manfred Weiler; Matthias Hopf; Jingshu Huang; David S. Ebert; Kelly P. Gaither; Thomas Ertl (VisSym, 2004)

Illustration and Photography Inspired Visualization of Flows and Volumes. - Nikolai A. Svakhine; Yun Jang; David S. Ebert; Kelly P. Gaither (IEEE Visualization, 2005)

Hardware-Assisted Feature Analysis and Visualization of Procedurally Encoded Multifield Volumetric Data. - Manfred Weiler; Ralf Peter Botchen; Simon Stegmaier; Thomas Ertl; Jingshu Huang; Yun Jang; David S. Ebert; Kelly P. Gaither (IEEE Computer Graphics and Applications, 2005)

Interactive Visualization and Analysis of Network and Sensor Data on Mobile Devices. - Avin Pattath; Brian D. Bue; Yun Jang; David S. Ebert; Xuan Zhong; Aaron Ault; Edward J. Coyle (IEEE VAST, 2006)

Enhancing the Interactive Visualization of Procedurally Encoded Multifield Data with Ellipsoidal Basis Functions. - Yun Jang; Ralf Peter Botchen; Andreas Lauser; David S. Ebert; Kelly P. Gaither; Thomas Ertl (Comput. Graph. Forum, 2006)

Visual Analytics on Mobile Devices for Emergency Response. - SungYe Kim; Yun Jang; Angela K. Mellema; David S. Ebert; Timothy W. Collins (IEEE VAST, 2007)

LAHVA: Linked Animal-Human Health Visual Analytics. - Ross Maciejewski; Benjamin Tyner; Yun Jang; Cheng Zheng; Rimma V. Nehme; David S. Ebert; William S. Cleveland; Mourad Ouzzani; Shaun J. Grannis; Lawrence T. Glickman (IEEE VAST, 2007)

Procedural encoding and visualization of large volumetric scattered data - Yun Jang (2007)

Interactive Volume Rendering of Functional Representations in Quantum Chemistry. - Yun Jang; Ugo Varetto (IEEE Trans. Vis. Comput. Graph., 2009)

Volumetric Evaluation of Meshless Data From Smoothed Particle Hydrodynamics Simulations. - Yun Jang; Raphael Fuchs; Benjamin Schindler; Ronald Peikert (VG@Eurographics, 2010)

Abstract Feature Space Representation for Volumetric Transfer Function Exploration. - Ross Maciejewski; Yun Jang; David S. Ebert; Kelly P. Gaither (Scientific Visualization: Interactions, Features, Metaphors, 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)

A correlative analysis process in a visual analytics environment. - Abish Malik; Ross Maciejewski; Niklas Elmqvist; Yun Jang; David S. Ebert; Whitney K. Huang (IEEE VAST, 2012)

MarketAnalyzer: An Interactive Visual Analytics System for Analyzing Competitive Advantage Using Point of Sale Data. - Sungahn Ko; Ross Maciejewski; Yun Jang; David S. Ebert (Comput. Graph. Forum, 2012)

Spatial Text Visualization Using Automatic Typographic Maps. - Shehzad Afzal; Ross Maciejewski; Yun Jang; Niklas Elmqvist; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2012)

Time-Varying Data Visualization Using Functional Representations. - Yun Jang; David S. Ebert; Kelly P. Gaither (IEEE Trans. Vis. Comput. Graph., 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)

Smart Transparency for Illustrative Visualization of Complex Flow Surfaces. - Robert Carnecky; Raphael Fuchs; Stephanie Mehl; Yun Jang; Ronald Peikert (IEEE Trans. Vis. Comput. Graph., 2013)

Bristle Maps: A Multivariate Abstraction Technique for Geovisualization. - SungYe Kim; Ross Maciejewski; Abish Malik; Yun Jang; David S. Ebert; Tobias Isenberg 001 (IEEE Trans. Vis. Comput. Graph., 2013)

Abstracting Attribute Space for Transfer Function Exploration and Design. - Ross Maciejewski; Yun Jang; Insoo Woo; Heike Jänicke; Kelly P. Gaither; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2013)

Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities. - David S. Ebert; Kelly P. Gaither; Yun Jang; Sonia Lasher-Trapp (Scientific Visualization, 2014)

Scalable Representation. - Yun Jang (Scientific Visualization, 2014)

A Mobile Visual Analytics Approach for Law Enforcement Situation Awareness. - Ahmad M. Razip; Abish Malik; Shehzad Afzal; Matthew Potrawski; Ross Maciejewski; Yun Jang; Niklas Elmqvist; David S. Ebert (PacificVis, 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 001; David S. Ebert (IEEE VAST, 2014)

Volume curtaining: a focus+context effect for multimodal volume visualization. - Adam J. Fairfield; Jonathan Plasencia; Yun Jang; Nicholas Theodore; Neil R. Crawford; David H. Frakes; Ross Maciejewski (Computer-Aided Diagnosis, 2014)

Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process. - Silvia Oliveros Torres; Yang Yang; Yun Jang; Ben Maule; David S. Ebert (EuroVA@EuroVis, 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)

A visual analytics process for maritime response, resource allocation and risk assessment. - Abish Malik; Ross Maciejewski; Yun Jang; Silvia Oliveros Torres; Yang Yang; Ben Maule; Matthew White; David S. Ebert (Inf. Vis., 2014)

Big Data Visual Analytics System for Disease Pattern Analysis. - Seokyeon Kim; Seongmin Jeong; Sung Uk An; Jae-Seok Yoo; Sang Min Han; Hanbyul Yeon; Sangbong Yoo; Yun Jang (BigDAS, 2015)

Predictive Visual Analytics using Topic Composition. - Hanbyul Yeon; Yun Jang (VINCI, 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)

Chair message. - Daniel Weiskopf; Yingcai Wu; Tim Dwyer; Yun Jang; Naohisa Sakamoto (PacificVis, 2017)

Personal visual analytics for android security risk lifelog. - Sangbong Yoo; Hong Ryeol Ryu; Hanbyul Yeon; Taekyoung Kwon 002; Yun Jang (VINCI, 2017)

Predictive visual analytics of event evolution for user-created context. - Hanbyul Yeon; Seokyeon Kim; Yun Jang (J. Vis., 2017)

Gaze Data Clustering and Analysis. - Sangbong Yoo; Sujin Jeong; Yun Jang (IUI Companion, 2018)

VR sickness measurement with EEG using DNN algorithm. - Dae Kyo Jeong; Sangbong Yoo; Yun Jang (VRST, 2018)

Data Flow Analysis and Visualization for Spatiotemporal Statistical Data without Trajectory Information. - Seokyeon Kim; Seongmin Jeong; Insoo Woo; Yun Jang; Ross Maciejewski; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2018)

Research on Denoising of Finger Vein Image Based on Deep Convolutional Neural Network. - Chaoping Zhu; Yongbin Yang; Yun Jang (ICCSE, 2019)

Gaze Attention and Flow Visualization using the Smudge Effect. - Sangbong Yoo; Seongmin Jeong; Seokyeon Kim; Yun Jang (PG (Short Papers), 2019)

Visual predictive modeling of incomplete time series panel data. - Hanbyul Yeon; Mingyu Pi; Hyesook Son; Yun Jang (VINCI, 2019)

Cybersickness Analysis with EEG Using Deep Learning Algorithms. - Dae Kyo Jeong; Sangbong Yoo; Yun Jang (VR, 2019)

The Study of a Classification Technique for Numeric Gaze-Writing Entry in Hands-Free Interface. - Sangbong Yoo; Dae Kyo Jeong; Yun Jang (IEEE Access, 2019)

Visual analytics and visualization for android security risk. - Sangbong Yoo; Hong Ryeol Ryu; Hanbyul Yeon; Taekyoung Kwon 002; Yun Jang (J. Comput. Lang., 2019)

Visual Imputation Analytics for Missing Time-Series Data in Bayesian Network. - Hanbyul Yeon; Hyesook Son; Yun Jang (BigComp, 2020)

Partial Convolutional LSTM for Spatiotemporal Prediction of Incomplete Data. - Hyesook Son; Yun Jang (IEEE Access, 2020)

Multimodal Epidemic Visual Analytics and Modeling. - Yun Jang; Seokyeon Kim (HICSS, 2021)

Image-Based TF Colorization With CNN for Direct Volume Rendering. - Seokyeon Kim; Yun Jang; Seung-Eock Kim (IEEE Access, 2021)

Deep Learning-Based Anomaly Detection to Classify Inaccurate Data and Damaged Condition of a Cable-Stayed Bridge. - Hyesook Son; Yun Jang; Seung-Eock Kim; Dongjoo Kim; Jong-Woong Park (IEEE Access, 2021)

Visual performance improvement analytics of predictive model for unbalanced panel data. - Hanbyul Yeon; Hyesook Son; Yun Jang (J. Vis., 2021)

SSVM: An Ultra-Low-Power Strain Sensing and Visualization Module for Long-Term Structural Health Monitoring. - Suleman Khan 002; Jongbin Won; Junsik Shin; Junyoung Park 002; Jong-Woong Park; Seung-Eock Kim; Yun Jang; Dong Joo Kim (Sensors, 2021)

Development of Low-Cost Wireless Sensing System for Smart Ultra-High Performance Concrete. - Huy Viet Le; Tae-Uk Kim; Suleman Khan 002; Junyoung Park 002; Jong-Woong Park; Seung-Eock Kim; Yun Jang; Dong Joo Kim (Sensors, 2021)

Damage Localization and Severity Assessment of a Cable-Stayed Bridge Using a Message Passing Neural Network. - Hyesook Son; Van-Thanh Pham; Yun Jang; Seung-Eock Kim (Sensors, 2021)

Gaze Behavior Effect on Gaze Data Visualization at Different Abstraction Levels. - Sangbong Yoo; Seongmin Jeong; Yun Jang (Sensors, 2021)

Saliency-Based Gaze Visualization for Eye Movement Analysis. - Sangbong Yoo; Seongmin Jeong; Seokyeon Kim; Yun Jang (Sensors, 2021)

Visual Cause Analytics for Traffic Congestion. - Mingyu Pi; Hanbyul Yeon; Hyesook Son; Yun Jang (IEEE Trans. Vis. Comput. Graph., 2021)

Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies. - Hyein Hong; Sangbong Yoo; Yejin Jin; Chanyoung Yoon; Soobin Yim; Seokhwan Choi; Yun Jang (IEEE Big Data, 2022)

A Mental Workload Estimation for Visualization Evaluation Using EEG Data and NASA-TLX. - Soobin Yim; Chanyoung Yoon; Sangbong Yoo; Yun Jang (EuroVis (Posters), 2022)

Visual analysis for panel data imputation with Bayesian network. - Hanbyul Yeon; Seongbum Seo; Hyesook Son; Yun Jang (J. Supercomput., 2022)

A Mental Workload Estimation Model for Visualization Using EEG. - Soobin Yim; Chanyong Yoon; Sangbong Yoo; Yun Jang (HICSS, 2023)

How Can We Improve Data Quality for Machine Learning? A Visual Analytics System using Data and Process-driven Strategies. - Hyein Hong; Sangbong Yoo; Yejin Jin; Yun Jang (PacificVis, 2023)

DiffGSL: A Graph Structure Learning Diffusion Model for Dynamic Spatio-Temporal Forecasting. - Chanyoung Jung; Yun Jang (IEEE Big Data, 2024)

Time Series Imputation with Multivariate Radial Basis Function Neural Network. - Chanyoung Jung; Yun Jang (ECAI, 2024)

A Prompt Chaining Framework for Long-Term Recall in LLM-Powered Intelligent Assistant. - Seongbum Seo; Sangbong Yoo; Yun Jang (IUI, 2025)

Discrepancies in Mental Workload Estimation: Self-Reported versus EEG-Based Measures in Data Visualization Evaluation. - Soobin Yim; Sangbong Yoo; Chanyoung Yoon; Chanyoung Jung; Chansoo Kim; Yun Jang; Ghulam Jilani Quadri (CoRR, 2025)

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement. - Hyein Hong; Sangbong Yoo; SeokHwan Choi; Jisue Kim; Seongbum Seo; Haneol Cho; Chansoo Kim; Yun Jang (CoRR, 2025)

Data Transformation Strategies to Remove Heterogeneity. - Sangbong Yoo; Jaeyoung Lee; Chanyoung Yoon; Geonyeong Son; Hyein Hong; Seongbum Seo; Soobin Yim; Chanyoung Jung; Jungsoo Park; Misuk Kim; Yun Jang (CoRR, 2025)

V-DCRNN: Virtual Network-Based Diffusion Convolutional Recurrent Neural Network for Estimating Unobserved Traffic Data. - Chanyoung Yoon; Soobin Yim; Sangbong Yoo; Chanyoung Jung; Hanbyul Yeon; Yun Jang (IEEE Trans. Intell. Transp. Syst., 2025)

OID-PPO: Optimal Interior Design using Proximal Policy Optimization by Transforming Design Guidelines into Reward Functions. - Chanyoung Yoon; Sangbong Yoo; Soobin Yim; Chansoo Kim; Yun Jang (CoRR, 2025)

CATOM: Causal Topology Map for Spatiotemporal Traffic Analysis With Granger Causality in Urban Areas. - Chanyoung Jung; Soobin Yim; Giwoong Park; Simon Oh; Yun Jang (IEEE Trans. Vis. Comput. Graph., 2025)

Two-Level Transfer Functions Using t-SNE for Data Segmentation in Direct Volume Rendering. - Sangbong Yoo; Seokyeon Kim; Yun Jang (IEEE Trans. Vis. Comput. Graph., 2025)