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2020 – today
- 2024
[j3]Xiaojian Zhang
, Qian Ke, Xilei Zhao:
Travel Demand Forecasting: A Fair AI Approach. IEEE Trans. Intell. Transp. Syst. 25(10): 14611-14627 (2024)- [i20]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 abs/2404.07399 (2024) - [i19]Luyu Liu, Xiaojian Zhang, Shangkun Jiang, Xilei Zhao:
Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian. CoRR abs/2407.15249 (2024) - 2023
- [j2]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): 8507-8518 (2023) - [c4]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: 7-12 - [i18]Xiaojian Zhang, Qian Ke, Xilei Zhao:
Enhancing Fairness in AI-based Travel Demand Forecasting Models. CoRR abs/2303.01692 (2023) - [i17]Yuran Sun, Shih-Kai Huang, Xilei Zhao:
Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Models. CoRR abs/2303.06557 (2023) - [i16]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 abs/2304.06233 (2023) - [i15]Yiming Xu, Qian Ke, Xiaojian Zhang, Xilei Zhao:
ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility. CoRR abs/2306.13897 (2023) - [i14]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 abs/2310.01565 (2023) - 2022
- [i13]Xiaojian Zhang, Xiang Yan, Zhengze Zhou, Yiming Xu, Xilei Zhao:
Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning. CoRR abs/2209.07980 (2022) - 2021
- [c3]Xiaojian Zhang, Yu Yang, Abigail L. Cochran, Noreen McDonald, Xilei Zhao:
Optimizing Demand-Responsive Paratransit Operations: A Mixed Integer Programming Approach. CISS 2021: 1-6 - [i12]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 abs/2103.09060 (2021) - [i11]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 abs/2107.04412 (2021) - [i10]Xiaojian Zhang, Xilei Zhao:
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago. CoRR abs/2109.03433 (2021) - [i9]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 abs/2109.07745 (2021) - [i8]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 abs/2111.01355 (2021) - 2020
- [i7]Shirin Noei, Xilei Zhao, Carl D. Crane:
Longitudinal Control of Vehicles in Traffic Microsimulation. CoRR abs/2003.07861 (2020) - [i6]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 abs/2010.12006 (2020)
2010 – 2019
- 2019
- [j1]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) - [i5]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 abs/1902.02904 (2019) - [i4]Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck:
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. CoRR abs/1910.13930 (2019) - [i3]Xinyu Liu, Pascal Van Hentenryck, Xilei Zhao:
Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data. CoRR abs/1911.05777 (2019) - 2018
- [c2]Xilei Zhao, James C. Spall:
A Markovian Framework for Modeling Dynamic Network Traffic. ACC 2018: 6616-6621 - [i2]Xilei Zhao, James C. Spall:
Modeling Traffic Networks Using Integrated Route and Link Data. CoRR abs/1811.01314 (2018) - [i1]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 abs/1811.01315 (2018) - 2016
- [c1]Xilei Zhao, James C. Spall:
Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems. ACC 2016: 803-808
Coauthor Index
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