Xiaoming Li

Orcid: 0000-0003-2441-4462

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
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5
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

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
BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems.
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
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming.
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


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