My study "Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks" is now available at Engineering Applications of Artificial Intelligence! [Link]
My study "PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting" is now available at IEEE Transactions on Intelligent Transportation Systems! [Link]
Proceeding for UrbanAI 2023 paper "Understanding Urban Economics Status through GNN-based Urban Representation Learning Using Mobility Data" is now available! [Link]
Article "Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting" accepted at IEEE Access [Link]
Study overview
Hosted KAIST-NYU Young Researcher Day (Oct. 27th & Nov. 3rd). Thanks to all participants and congratulations to award winners!
More information available at Urban@KAIST.
Invited Seminar: KAIST Urban X - Short-term traffic forecasting in urban areas - element-wise performance evaluation in diverse study sites
I have been invited to KAIST Urban X seminar series and have given a presentation about my research on short-term traffic forecasting.
More information can be found on the Urban@KAIST website (https://urban.kaist.ac.kr/urban-x-seminar-series) and the YouTube channel (https://www.youtube.com/watch?v=w9s0VWz4s1Y&t=10s)