34 citations · 53 across the 14 of their papers we have counts for
4 papers · 1 filter
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery
Chenguang Wang, Yepeng Liu, Xiaojian Zhang +6
Timely and accurate assessment of hurricane-induced building damage is crucial for effective post-hurricane response and recovery efforts. Recently, remote sensing technologies pro…
ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility
Yiming Xu, Qian Ke, Xiaojian Zhang +1
Accurate shared micromobility demand predictions are essential for transportation planning and management. Although deep learning models provide powerful tools to deal with demand…
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires
Xiaojian Zhang, Xilei Zhao, Yiming Xu +2
Real-time forecasting of travel demand during wildfire evacuations is crucial for emergency managers and transportation planners to make timely and better-informed decisions. Howev…
Travel Demand Forecasting: A Fair AI Approach
Xiaojian Zhang, Qian Ke, Xilei Zhao
Artificial Intelligence (AI) and machine learning have been increasingly adopted for travel demand forecasting. The AI-based travel demand forecasting models, though generate accur…