电 话:
电子邮箱:jcliu17@ustc.edu.cn
个人主页:https://jcliu17.github.io/
课题组主页:https://int-ustc.github.io/
主要研究方向:物联网、边缘计算、云计算、联邦学习
刘建春,男,江苏盐城人。2017年于华北电力大学计算机系获学士学位,2022年于中国科学技术大学大数据学院获博士学位。现为中国科大我院特任副研究员,硕士生导师。主要从事物联网、边缘计算、云计算等方面的研究。近五年共发表高水平论文20余篇(包括 CCF A 类论文11篇),其中一作/通讯论文7篇(包括ToN、TMC、INFOCOM、ICDE等 CCF A 类论文4篇,ComNet等CCF B类论文2篇),申请国家发明专利6项。
获奖情况:
1. 2022年,中国科大优秀博士毕业论文
2. 2021年,姑苏优秀学生奖学金(特等)
3. 2020年,博士研究生国家奖学金
代表性著作:
[ICDE'22] Jianchun Liu, *Yang Xu, *Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang, Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing, IEEE International Conference on Data Engineering (ICDE),2022. [CCF A]
[TMC'21] Jianchun Liu, *Hongli Xu, Lun Wang, *Yang Xu, Chen Qian, Jinyang Huang, He Huang, Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing, IEEE Transactions on Mobile Computing (TMC), 2021. [CCF A]
[INFOCOM’20] Jianchun Liu, *Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Liusheng Huang, Incremental Server Deployment for Scalable NFV-enabled Networks, INFOCOM’20 , July. 2020. [CCF A]
[ToN'20] Jianchun Liu, *Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Xuwei Yang, Huang He, Incremental Server Deployment for Software-Defined NFV-enabled Networks IEEE/ACM Transactions on Networking (ToN), 2020. [CCF A]
[ComNet'21] Jianchun Liu, *Hongli Xu, *Yang Xu, Zhenguo Ma, Zhiyuan Wang, Chen Qian, He Huang, Communication-Efficient Asynchronous Federated Learning in Resource-Constrained Edge Computing, Computer Networks (ComNet), 2021. [CCF B]
[ComNet'19] *Hongli Xu, Jianchun Liu, Chen Qian, He Huang, Chunming Qiao, Reducing Controller Response Time with Hybrid Routing in Software Defined Networks, Computer Networks (ComNet) , 2019. [CCF B]
[TMC'22] Zhiyuan Wang, *Hongli Xu,Jianchun Liu,Yang Xu, He Huang, Yangming Zhao, Accelerating Federated Learning with Cluster Construction and Hierarchical Aggregation, IEEE Transactions on Mobile Computing (TMC), 2022. [CCF A]
[ToN'22] Hongli Xu, Peng Xi, Gongming Zhao, Jianchun Liu, Chen Qian, Liusheng Huang, SAFE-ME: Scalable and Flexible Policy Enforcement in Middlebox Networks, IEEE/ACM Transactions on Networking (ToN), 2022. [CCF A]
[ICDE'22] Lun Wang, *Yang Xu, *Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang, Enhancing Federated Learning with In-Cloud Unlabeled Data, IEEE International Conference on Data Engineering (ICDE),2022. [CCF A]
[INFOCOM’21] Zhiyuan Wang, *Hongli Xu, Jianchun Liu, He Huang, Chunming Qiao, Yangming Zhao, Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing, INFOCOM’21, May. 2021. [CCF A]
(更新于2022年12月)