Yoonjin Yoon

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Convolutional Network

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Daegyu Lee, Hyunki Seong, Gyuree Kang, Seungil Han, David Hyunchul Shim, Yoonjin Yoon
Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
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 (2024)
Yuyol Shin, Yoonjin Yoon
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
Hyeyeong Lee, Namwoo Kim, Seyun Kim, Yoonjin Yoon
Detecting socioeconomic changes of Chicago regions between 2013 and 2020 using urban region representation learning. ANT/EDI40 (2023)
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)
Namwoo Kim, Hyeyeong Lee, Yoonjin Yoon
A Heterogeneous Attention Network Model for Longitudinal Analysis of Socioeconomic and Racial Inequalities in Urban Regions: Evidence from Chicago, IL. SIGSPATIAL/GIS (2023)
Yuyol Shin, Yoonjin Yoon
Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting. IEEE Access 11 (2023)
Gwanghwan Seong, Namwoo Kim, Seyun Kim, Yoonjin Yoon
Multi-modal Based Region Representation Learning Considering Mobility Data in Seoul. ANT/EDI40 (2023)
Yu Yol Shin, Yoonjin Yoon
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting. CoRR (2022)
Namwoo Kim, Yoonjin Yoon
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT). CoRR (2022)
Daegyu Lee, Hyunki Seong, Seungil Han, Gyuree Kang, David Hyunchul Shim, Yoonjin Yoon
Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in the a Congested Environment. CoRR (2022)
Soohwan Oh, Yoonjin Yoon, Seyun Kim
Risk Analysis of Unmanned Aerial System Operations in Urban Airspace Considering Spatiotemporal Population Dynamics. ITSC (2022)
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) (2022)
Namwoo Kim, Yoonjin Yoon
Regionalization for urban air mobility application with analyses of 3D urban space and geodemography in San Francisco and New York. ANT/EDI40 (2021)
Namwoo Kim, Yoonjin Yoon
Representation learning of urban regions via mobility-signature-based zone embedding: a case study of Seoul, South Korea. LocalRec@SIGSPATIAL (2021)
Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee
Short-Term Traffic Prediction With Deep Neural Networks: A Survey. IEEE Access 9 (2021)
Yu Yol Shin, Yoonjin Yoon
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting. CoRR (2021)
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 (2020)
Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee
Short-term Traffic Prediction with Deep Neural Networks: A Survey. CoRR (2020)
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 (2020)
Yu Yol Shin, Yoonjin Yoon
Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting. CoRR (2019)
Yuna Noh, Seyun Kim, Yoonjin Yoon
Evaluation on Diversity of Drivers' Cognitive Stress Response using EEG and ECG Signals during Real-Traffic Experiment with an Electric Vehicle. ITSC (2019)
Jeongyun Han, Eunjung Lee, Hyunghun Cho, Yoonjin Yoon, Hyoseop Lee, Wonjong Rhee
Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building. Sensors 18 (5) (2018)
Jungwoo Cho, Yoonjin Yoon
GIS-Based Analysis on Vulnerability of Ambulance Response Coverage to Traffic Condition: A Case Study of Seoul. ITSC (2015)