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2020 – today
- 2024
[j4]Yuyol Shin
, Namwoo Kim, Hyeyeong Lee, Soh Young In, Mark Hansen, Yoonjin Yoon:
Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks. Eng. Appl. Artif. Intell. 132: 107936 (2024)- [j3]Yuyol Shin, Yoonjin Yoon:
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 25(7): 7633-7644 (2024) - 2023
- [j2]Yuyol Shin, Yoonjin Yoon:
Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting. IEEE Access 11: 136478-136495 (2023) - [c1]Yuyol Shin, Gwanghwan Seong, Namwoo Kim, Seyun Kim, Yoonjin Yoon:
Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data. UrbanAI@SIGSPATIAL 2023: 71-80 - 2022
- [j1]Yu Yol Shin, Yoonjin Yoon:
Incorporating Dynamicity of Transportation Network With Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 23(3): 2082-2092 (2022) - [i5]Yu Yol Shin, Yoonjin Yoon:
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting. CoRR abs/2202.08982 (2022) - 2021
- [i4]Yu Yol Shin, Yoonjin Yoon:
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting. CoRR abs/2111.07513 (2021) - 2020
- [i3]Jungwoo Cho, Soohwan Oh, Seyun Kim, Namwoo Kim, Yu Yol Shin, Haechan Cho, Yoonjin Yoon:
COVID-19 Mobility Data Collection of Seoul, South Korea. CoRR abs/2006.08365 (2020) - [i2]Jungwoo Cho, Yu Yol Shin, Seyun Kim, Namwoo Kim, Soohwan Oh, Haechan Cho, Yoonjin Yoon:
Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea. CoRR abs/2009.09073 (2020)
2010 – 2019
- 2019
- [i1]Yu Yol Shin, Yoonjin Yoon:
Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting. CoRR abs/1909.07105 (2019)
Coauthor Index
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