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Journal Articles
- 2023
[j1]Seungmin Jin, Hyunwook Lee
, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko:
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. IEEE Trans. Vis. Comput. Graph. 29(1): 1102-1112 (2023)
Conference and Workshop Papers
- 2022
- [c4]Hyeshin Chu, Joohee Kim, Seongouk Kim, Hongkyu Lim, Hyunwook Lee, Seungmin Jin, Jongeun Lee, Taehwan Kim, Sungahn Ko:
An Empirical Study on How People Perceive AI-generated Music. CIKM 2022: 304-314 - [c3]Hyunwook Lee, Seungmin Jin, Hyeshin Chu, Hongkyu Lim, Sungahn Ko:
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting. ICLR 2022 - 2021
- [c2]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. ICDE 2021: 1817-1822 - [c1]Yunha Han, Hwiyeon Kim, Hyeshin Chu, Joohee Kim, Hyunwook Lee, Seunghyeong Choe, Dooyoung Jung, Dongil Chung, Bum Chul Kwon, Sungahn Ko:
Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases. WWW 2021: 2476-2487
Informal and Other Publications
- 2022
- [i3]Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko:
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. CoRR abs/2208.04350 (2022) - 2021
- [i2]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. CoRR abs/2105.05504 (2021) - [i1]Hyunwook Lee, Seungmin Jin, Hyeshin Chu, Hongkyu Lim, Sungahn Ko:
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting. CoRR abs/2110.10380 (2021)
Coauthor Index
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