Ming Zhu

Orcid: 0000-0002-0251-8116

Affiliations:
  • Shanghai Jiao Tong University, Department of Computer Science and Engineering, China


According to our database1, Ming Zhu authored at least 14 papers between 2013 and 2024.

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Bibliography

2024
Dynamic datasets and market environments for financial reinforcement learning.
Mach. Learn., May, 2024

2023
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems.
CoRR, 2023

2022
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Convolutional Graph-Tensor Net for Graph Data Completion.
CoRR, 2021

2019
An Online Ride-Sharing Path-Planning Strategy for Public Vehicle Systems.
IEEE Trans. Intell. Transp. Syst., 2019

Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks.
CoRR, 2019

2018
Joint Transportation and Charging Scheduling in Public Vehicle Systems - A Game Theoretic Approach.
IEEE Trans. Intell. Transp. Syst., 2018

2016
Public Vehicles for Future Urban Transportation.
IEEE Trans. Intell. Transp. Syst., 2016

Transfer Problem in a Cloud-based Public Vehicle System with Sustainable Discomfort.
Mob. Networks Appl., 2016

Traffic big data based path planning strategy in public vehicle systems.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

2015
Traffic efficiency improvement and passengers comfort in ridesharing systems in VANETs.
Proceedings of the International Conference on Connected Vehicles and Expo, 2015

A Public Vehicle System with Multiple Origin-Destination Pairs on Traffic Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
The charging-scheduling problem for electric vehicle networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

2013
An algorithm of lane change using two-lane NaSch model in traffic networks.
Proceedings of the International Conference on Connected Vehicles and Expo, 2013


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