Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting. - Yu Yol Shin; Yoonjin Yoon (CoRR, 2019)

COVID-19 Mobility Data Collection of Seoul, South Korea. - Jungwoo Cho; Soohwan Oh; Seyun Kim; Namwoo Kim; Yu Yol Shin; Haechan Cho; Yoonjin Yoon (CoRR, 2020)

Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea. - Jungwoo Cho; Yu Yol Shin; Seyun Kim; Namwoo Kim; Soohwan Oh; Haechan Cho; Yoonjin Yoon (CoRR, 2020)

A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting. - Yu Yol Shin; Yoonjin Yoon (CoRR, 2021)

Incorporating Dynamicity of Transportation Network With Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting. - Yu Yol Shin; Yoonjin Yoon (IEEE Trans. Intell. Transp. Syst., 2022)

Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data. - Yuyol Shin; Gwanghwan Seong; Namwoo Kim; Seyun Kim; Yoonjin Yoon (UrbanAI@SIGSPATIAL, 2023)

Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting. - Yuyol Shin; Yoonjin Yoon (IEEE Access, 2023)

Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks. - Yuyol Shin; Namwoo Kim; Hyeyeong Lee; Soh Young In; Mark Hansen; Yoonjin Yoon (Eng. Appl. Artif. Intell., 2024)

PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting. - Yuyol Shin; Yoonjin Yoon (IEEE Trans. Intell. Transp. Syst., 2024)