An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. - Hyunwook Lee; Cheonbok Park; Seungmin Jin; Hyeshin Chu; Jaegul Choo; Sungahn Ko (ICDE, 2021)

Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases. - Yunha Han; Hwiyeon Kim; Hyeshin Chu; Joohee Kim; Hyunwook Lee; Seunghyeong Choe; Dooyoung Jung; Dongil Chung; Bum Chul Kwon; Sungahn Ko (WWW, 2021)

An Empirical Study on How People Perceive AI-generated Music. - Hyeshin Chu; Joohee Kim; Seongouk Kim; Hongkyu Lim; Hyunwook Lee; Seungmin Jin; Jongeun Lee; Taehwan Kim; Sungahn Ko (CIKM, 2022)

Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting. - Hyunwook Lee; Seungmin Jin; Hyeshin Chu; Hongkyu Lim; Sungahn Ko (ICLR, 2022)

A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. - Seungmin Jin; Hyunwook Lee; Cheonbok Park; Hyeshin Chu; Yunwon Tae; Jaegul Choo; Sungahn Ko (IEEE Trans. Vis. Comput. Graph., 2023)