Xilei Zhao

Orcid: 0000-0002-7903-4806

According to our database1, Xilei Zhao authored at least 26 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Travel Demand Forecasting: A Fair AI Approach.
IEEE Trans. Intell. Transp. Syst., October, 2024

Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian.
CoRR, 2024

Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach.
CoRR, 2024

2023
Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach.
IEEE Trans. Intell. Transp. Syst., August, 2023

ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility.
CoRR, 2023

Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires.
CoRR, 2023

Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Models.
CoRR, 2023

Enhancing Fairness in AI-based Travel Demand Forecasting Models.
CoRR, 2023

Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery.
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Security Response using GIS 2023, 2023

2022
Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning.
CoRR, 2022

2021
Real-time Forecasting of Dockless Scooter-Sharing Demand: A Context-Aware Spatio-Temporal Multi-Graph Convolutional Network Approach.
CoRR, 2021

Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data.
CoRR, 2021

A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago.
CoRR, 2021

Identifying latent shared mobility preference segments in low-income communities: ride-hailing, fixed-route bus, and mobility-on-demand transit.
CoRR, 2021

Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data.
CoRR, 2021

Optimizing Demand-Responsive Paratransit Operations: A Mixed Integer Programming Approach.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data.
CoRR, 2020

Longitudinal Control of Vehicles in Traffic Microsimulation.
CoRR, 2020

2019
Candidate gene prioritization for non-communicable diseases based on functional information: Case studies.
J. Biomed. Informatics, 2019

Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data.
CoRR, 2019

Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation.
CoRR, 2019

Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach.
CoRR, 2019

2018
Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models.
CoRR, 2018

Modeling Traffic Networks Using Integrated Route and Link Data.
CoRR, 2018

A Markovian Framework for Modeling Dynamic Network Traffic.
Proceedings of the 2018 Annual American Control Conference, 2018

2016
Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems.
Proceedings of the 2016 American Control Conference, 2016


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