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)

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)

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

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

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

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

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)