Xiaoming Li
Orcid: 0000-0003-2441-4462Affiliations:
- Concordia University, Montreal, Canada
- Shenyang Aerospace University, School of Computer Science, Shenyang, China
According to our database1,
Xiaoming Li
authored at least 14 papers
between 2020 and 2023.
Collaborative distances:
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Online presence:
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on orcid.org
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Bibliography
2023
GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems.
IEEE Trans. Mob. Comput., December, 2023
XRMDN: A Recurrent Mixture Density Networks-based Architecture for Short-Term Probabilistic Demand Forecasting in Mobility-on-Demand Systems with High Volatility.
CoRR, 2023
Demand Density Forecasting in Mobility-on-Demand Systems Through Recurrent Mixture Density Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
A Data-Driven Approach for Vehicle Relocation in Car-Sharing Services with Balanced Supply-Demand Ratios.
Int. J. Intell. Transp. Syst. Res., 2022
Ride-Sharing Matching Under Travel Time Uncertainty Through Data-Driven Robust Optimization.
IEEE Access, 2022
A Pricing Mechanism for Ride-Hailing Systems in the Presence of Driver Acceptance Uncertainty.
IEEE Access, 2022
2021
Towards smart transportation: A learning-based data-driven optimization approach for electric taxi dispatch problem.
Internet Technol. Lett., 2021
Ride-Sharing Matching under Travel Time Uncertainty through A Data-Driven Robust Optimization Approach.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Driver guidance and rebalancing in ride-hailing systems through mixture density networks and stochastic programming.
Proceedings of the IEEE International Smart Cities Conference, 2021
2020
CoRR, 2020
DDKSP: A Data-Driven Stochastic Programming Framework for Car-Sharing Relocation Problem.
CoRR, 2020
Reducing Car-Sharing Relocation Cost through Non-Parametric Density Estimation and Stochastic Programming.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Learning-based open driver guidance and rebalancing for reducing riders' wait time in ride-hailing platforms.
Proceedings of the IEEE International Smart Cities Conference, 2020