Yuyol Shin

Visiting Scholar (UC Berkeley) 2022.10 ~ present

Postdoctoral Research Fellow (KAIST) 2022.09 ~ present

E-mail: yuyol.shin@kaist.ac.kr

Research Interests

Traffic Forecasting
Graph Neural Networks
Transportation Network Analysis
Spatial-Temporal Data Mining

Bio:

My research interests are spatial-temporal data mining, artificial intelligence in the field of transportation engineering, and transportation network analysis. My recent works have focused on developing models for traffic forecasting in urban areas using Graph Neural Networks and time-series models such as LSTM and causal convolution. Recently, I am investigating the field of AI-based maritime transportation including topics such as vessel intention prediction, weather routing, and smart port operation.

I am currently a postdoc at KAIST (Korea Advanced Institute of Science and Technology, Daejeon, South Korea) TRUE Lab, and a visiting scholar at UC Berkeley. I received my Ph.D. from KAIST Civil and Environmental Engineering advised by Yoonjin Yoon. I also received my Bachelor's degree from KAIST. I am more than open to any discussions and/or collaboration opportunities, and please feel free to contact me!

Please take a look at the research page and Google Scholar for more.

Highlights

Reflecting Time-Varying Spatial Correlation Using Dynamic Graphs for Traffic Forecasting

Performance Evaluation of Basic Elements of Deep Neural Network Models for Traffic Forecasting

GNN-based Traffic Forecasting Using Various Structural Characteristics

Publications

Y. Shin, Y. Yoon*, "Incorporating Dynamicity of Transportation Network With Multi-Weight Traffic Graph Convolutional Network for Traffic Forecasting", IEEE Transactions on Intelligent Transportation Systems, 23(3), 2082-2092, 2022.
Y. Shin, Y. Yoon*, "Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting", (Under review - Expert Systems with Applications).
Y. Shin, Y. Yoon*, "PGCN: Progressive Graph Convolutional Networks for Traffic Forecasting", (Under review - IEEE Transactions on Intelligent Transportation Systems).

Conferences

Y. Shin, Y. Yoon*, "A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting", AAAI-22 workshop: AI for Transportation, 2022.
S. Kim, Y. Shin, Y. Yoon*, "Topological Data Analysis on the Northeast Asian Air Route Network", 9th International Conference for Research in Air Transportation (ICRAT 2020), 2020.
Y. Shin, J. Cho, N. Kim, Y. Yoon*, "Predicting Seoul Subway Hourly Passenger Demand Using Neural Network Models", The 2nd Asian Conference on Railway Engineering and Transportation (ART 2018), 2018. (Best paper award)

Educations

Ph.D., Dept. of Civil and Environmental Engineering [2016.09 – 2022.06]
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
B.S., Dept. of Civil and Environmental Engineering [2011.09 – 2016.06]
Double Major: Dept. of Industrial and Systems Engineering
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea