个人简历

研究领域

"研究兴趣包括：通信网络资源优化、共享经济、强化学习、机器学习。近期工作主要集中在：\r
1、分布式学习与优化(联邦学习)\r
2、基于图神经网络的交通行为预测\r
3、基于强化学习的交通信号灯控制\r
工作内容是针对以上问题，设计有效的算法，进行理论分析和仿真验证。"

近期论文

PRGLight: A novel traffic light control framework with Pressure-based-Reinforcement Learning and Graph Neural Network.[会议录]:IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems (RL4ITS) Workshop,2021\r
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On the Performance of Multi-message Algebraic Gossip Algorithms in Dynamic Random Geometric Graphs.[期刊]:IEEE Communication Letter,2018\r
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Resource Allocation for Device-to-Device Communications As an Underlay Using Nash Bargaining Game Theory.[会议录]:IEEE ICTC2015,2015\r
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On the Network Sharing of Mixed Network Coding and Routing Data Flows in Congestion Networks.[期刊]:IEEE Trans. On Vehicular Technology,2014\r
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The novel generating algorithm and properties of hybrid-P-ary generalized bridge functions.[期刊]:Science in China: Series F Information Sciences,2005
中国电子学会高级会员，IEEE 会员。