刘建春


姓名:刘建春

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。现为中国科大计算机学院特任副研究员,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30余篇,其中一作/通讯论文14篇(包括ToNTMCINFOCOMICDE等中科院一区/CCF A类中英论文9篇,IWQoSComNet等中科院二区/CCF B类中英论文3篇,1ESI高被引论文),申请国家发明专利10项,授权3项。同时,作为项目负责人或核心骨干参与国自然重点项目2项、省、校级青年项目各1项,以及OPPO、云融科技企业合作项目各1项。本人还承担多个国际知名期刊和会议的审稿人,包括IEEE JSACTMCTPDSTCCNTWCNetwork等。曾获2022年度中国科大优博、小米青年学者等。


获奖情况:

1.  2022年,小米青年学者

2. 2022年,中国科大优秀博士毕业论文

3. 2021年,姑苏优秀学生奖学金(特等)

4. 2020年,博士研究生国家奖学金


代表性著作:

1.       [INFOCOM'24] Jiaming Yan, *Jianchun Liu, Shilong Wang, *Hongli Xu, Haifeng Liu, Jianhua Zhou, Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks , IEEE INFOCOM, 2024. [CCF A]

2.       [ToN'23] Jun Liu, *Jianchun Liu, *Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma, YOGA: Adaptive Layer-wise Model Aggregation for Decentralized Federated Learning , IEEE/ACM Transactions on Networking (ToN), 2023. [CCF A]

3.       [TMC'23]Jianchun Liu, Jiaming Yan, Hongli Xu, Zhiyuan Wang, Jinyang Huang, Yang Xu, Finch: Enhancing Federated Learning with Hierarchical Neural Architecture Search , IEEE Transactions on Mobile Computing (TMC), 2023. [CCF A]

4.       [ToN'23] Jianchun Liu, Qingmin Zeng, Hongli Xu, Yang Xu, Zhiyuan Wang, He Huang, Adaptive Block-wise Regularization and Knowledge Distillation for Enhancing Federated Learning , IEEE/ACM Transactions on Networking (ToN), 2023. [CCF A]

5.       [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]

6.       [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]

7.       [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]

8.       [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]

9.       [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]

10.    [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]




(更新于2023年12月)