夏有华

特聘副研究员

学习&工作经历：

2016年6月毕业于福建师范大学，获计算机应用技术硕士学位；

2022年12月毕业于武汉大学，获计算机科学博士学位。

博士期间主要从事车联网中的调度算法研究，参与车联网的协作机制及可靠通信方法研究、基于5G和云平台的智能交通关键技术研究等。近年来，作为审稿人参与IEEE Transactions on Vehicular Technology, The Journal of Supercomputing等期刊的论文评审工作。迄今，已在IEEE Internet of Things Journal、IEEE Transactions on Vehicular Technology等刊物发表论文十余篇，参与国家自然科学基金项目四余项，申请专利三余项。

邮箱：xiayouhua@gml.ac.cn

研究领域：大型语言模型，强化学习，车联网，智能交通，机器学习，区块链和隐私保护

代表性成果：

1. Xia Y, Wu L, Zheng X, Yu T, Jin J. Data Dissemination With Trajectory Privacy Protection for 6G-Oriented Vehicular Networks[J]. IEEE Internet of Things Journal, 2022, 9(21): 21469-21480.

2. Xia Y, Zhang T, Wu L, Zheng X, Jin J. Privacy-Preserving Data Scheduling in Incentive-Driven Vehicular Network[J]. IEEE Internet of Things Journal, 2022, 9(22): 22669-22681.

3. Xia Y, Wu L, Wang Z, Zheng X, Jin J. Cluster-enabled cooperative scheduling based on reinforcement learning for high-mobility vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(11): 12664-12678.

发表论文论著：

1. Xia Y, Wu L, Zheng X, Yu T, Jin J. Data Dissemination With Trajectory Privacy Protection for 6G-Oriented Vehicular Networks[J]. IEEE Internet of Things Journal, 2022, 9(21): 21469-21480.

2. Xia Y, Zhang T, Wu L, Zheng X, Jin J. Privacy-Preserving Data Scheduling in Incentive-Driven Vehicular Network[J]. IEEE Internet of Things Journal, 2022, 9(22): 22669-22681.

3. Xia Y, Wu L, Wang Z, Zheng X, Jin J. Cluster-enabled cooperative scheduling based on reinforcement learning for high-mobility vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(11): 12664-12678.

4. Xia Y, Wu L, Jin J, et al. Privacy-aware key task scheduling in vehicular networks based on incentive mechanism[C]//2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2020: 1030-1035.

5. Dibaei M, Zheng X, Xia Y, et al. Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(2): 683-700.

申请专利：

1. 吴黎兵,夏有华,王志波,夏振厂. 一种基于激励机制的车联网隐私感知数据调度方法 申请(专利)号：CN202010111580.7 申请公布号：CN111314883A