Yoonjin Yoon

Orcid: 0000-0002-3550-4431

According to our database1, Yoonjin Yoon authored at least 21 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

Multi-modal Based Region Representation Learning Considering Mobility Data in Seoul.
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

Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in the a Congested Environment.
CoRR, 2022

Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT).
CoRR, 2022

PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting.
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

Short-Term Traffic Prediction With Deep Neural Networks: A Survey.
IEEE Access, 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

COVID-19 Mobility Data Collection of Seoul, South Korea.
CoRR, 2020

2019
Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting.
CoRR, 2019

Unmanned Aerial Vehicle Impacts on Heat-Strengthened Glass.
IEEE Access, 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


  Loading...