Yoonjin Yoon
Orcid: 0000-0002-3550-4431
According to our database1,
Yoonjin Yoon
authored at least 22 papers
between 2015 and 2024.
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Bibliography
2024
Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment.
IEEE Trans. Intell. Transp. Syst., August, 2024
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., July, 2024
Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks.
Eng. Appl. Artif. Intell., 2024
2023
Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting.
IEEE Access, 2023
Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, 2023
A Heterogeneous Attention Network Model for Longitudinal Analysis of Socioeconomic and Racial Inequalities in Urban Regions: Evidence from Chicago, IL.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Proceedings of the 14th International Conference on Ambient Systems, 2023
Detecting socioeconomic changes of Chicago regions between 2013 and 2020 using urban region representation learning.
Proceedings of the 14th International Conference on Ambient Systems, 2023
2022
Incorporating Dynamicity of Transportation Network With Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., 2022
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT).
CoRR, 2022
Risk Analysis of Unmanned Aerial System Operations in Urban Airspace Considering Spatiotemporal Population Dynamics.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting.
CoRR, 2021
Representation learning of urban regions via mobility-signature-based zone embedding: a case study of Seoul, South Korea.
Proceedings of the LocalRec '21: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2021
Regionalization for urban air mobility application with analyses of 3D urban space and geodemography in San Francisco and New York.
Proceedings of the 12th International Conference on Ambient Systems, 2021
2020
Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea.
CoRR, 2020
2019
Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting.
CoRR, 2019
Evaluation on Diversity of Drivers' Cognitive Stress Response using EEG and ECG Signals during Real-Traffic Experiment with an Electric Vehicle.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building.
Sensors, 2018
2015
GIS-Based Analysis on Vulnerability of Ambulance Response Coverage to Traffic Condition: A Case Study of Seoul.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015