Xilei Zhao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Machine Learning

Demand Forecasting

Damage Detection

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Zhuoqun Xue, Xiaojian Zhang, David O. Prevatt, Jennifer Bridge, Susu Xu, Xilei Zhao
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach. CoRR (2024)
Luyu Liu, Xiaojian Zhang, Shangkun Jiang, Xilei Zhao
Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian. CoRR (2024)
Chenguang Wang, Yepeng Liu, Xiaojian Zhang, Xuechun Li, Vladimir Paramygin, Arthriya Subgranon, Y. Peter Sheng, Xilei Zhao, Susu Xu
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery. CoRR (2023)
Yiming Xu, Qian Ke, Xiaojian Zhang, Xilei Zhao
ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility. CoRR (2023)
Xiaojian Zhang, Qian Ke, Xilei Zhao
Enhancing Fairness in AI-based Travel Demand Forecasting Models. CoRR (2023)
Yuran Sun, Shih-Kai Huang, Xilei Zhao
Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Models. CoRR (2023)
Yiming Xu, Xilei Zhao, Xiaojian Zhang, Mudit Paliwal
Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Xiaojian Zhang, Xilei Zhao, Yiming Xu, Ruggiero Lovreglio, Daniel Nilsson
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires. CoRR (2023)
Chenguang Wang, Yepeng Liu, Xiaojian Zhang, Xuechun Li, Vladimir Paramygin, Arthriya Subgranon, Y. Peter Sheng, Xilei Zhao, Susu Xu
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery. EM-GIS (2023)
Xiaojian Zhang, Xiang Yan, Zhengze Zhou, Yiming Xu, Xilei Zhao
Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning. CoRR (2022)
Xiang Yan, Wencui Yang, Xiaojian Zhang, Yiming Xu, Ilir Bejleri, Xilei Zhao
Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data. CoRR (2021)
Xinyi Wang, Xiang Yan, Xilei Zhao, Zhuoxuan Cao
Identifying latent shared mobility preference segments in low-income communities: ride-hailing, fixed-route bus, and mobility-on-demand transit. CoRR (2021)
Xiaojian Zhang, Xilei Zhao
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago. CoRR (2021)
Xiaojian Zhang, Yu Yang, Abigail L. Cochran, Noreen McDonald, Xilei Zhao
Optimizing Demand-Responsive Paratransit Operations: A Mixed Integer Programming Approach. CISS (2021)
Yiming Xu, Mudit Paliwal, Xilei Zhao
Real-time Forecasting of Dockless Scooter-Sharing Demand: A Context-Aware Spatio-Temporal Multi-Graph Convolutional Network Approach. CoRR (2021)
Xilei Zhao, Yiming Xu, Ruggiero Lovreglio, Erica Kuligowski, Daniel Nilsson, Thomas Cova, Alex Wu, Xiang Yan
Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data. CoRR (2021)
Shirin Noei, Xilei Zhao, Carl D. Crane
Longitudinal Control of Vehicles in Traffic Microsimulation. CoRR (2020)
Yiming Xu, Xiang Yan, Virginia P. Sisiopiku, Louis A. Merlin, Fangzhou Xing, Xilei Zhao
Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data. CoRR (2020)
Wan Li, Yihua Zhang, Yuehan He, Yahui Wang, Shanshan Guo, Xilei Zhao, Yuyan Feng, Zhaona Song, Yuqing Zou, Weiming He, Lina Chen
Candidate gene prioritization for non-communicable diseases based on functional information: Case studies. J. Biomed. Informatics 93 (2019)
Xilei Zhao, Xiang Yan, Pascal Van Hentenryck
Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach. CoRR (2019)
Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. CoRR (2019)
Xinyu Liu, Pascal Van Hentenryck, Xilei Zhao
Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data. CoRR (2019)
Xilei Zhao, James C. Spall
A Markovian Framework for Modeling Dynamic Network Traffic. ACC (2018)
Xilei Zhao, James C. Spall
Modeling Traffic Networks Using Integrated Route and Link Data. CoRR (2018)
Xilei Zhao, Xiang Yan, Alan Yu, Pascal Van Hentenryck
Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models. CoRR (2018)
Xilei Zhao, James C. Spall
Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems. ACC (2016)