Email：zhaoym@ustc.edu.cn
课题组主页：http://staff.ustc.edu.cn/~xuhongli/int/
主要研究方向：量子通信、网络通信系统、分布式系统、机器学习
赵阳明，男，出生于1986年，现为开云手机登录入口,开云(中国)特任研究员。2015年博士毕业于电子科技大学。毕业后供职于上海贝尔实验室、2016年3月赴纽约州立大学布法罗分校，任研究科学家。赵阳明长期从事网络通信系统，分布式系统的研究。近年来发表高水平论文40余篇，其中CCF A类论文16篇，B类论文10篇，并长期担任IEEE/ACM TON, IEEE TPDS，IEEE JSAC等CCF A类期刊的审稿工作。
我们由衷欢迎相关专业的优秀本科生报考我们课题组的研究生，同时也欢迎低年级本科生提前加入我们，一起探索网络领域的难题。
代表性论著：
Y. Zhao, C. Tian, J. Fan, T. Guan, X. Zhang and C. Qiao “Joint Reducer Placement and Coflow Bandwidth Scheduling for Computing Clusters”, IEEE/ACM Transactions on Networking (CCF A类)
Y. Zhao, X. Liu, L. Tu, C. Tian and C. Qiao “Dynamic Service Entity Placement for Latency Sensitive Applications in Transportation Systems”,IEEE Transactions on Mobile Computing, Volume: 20, Issue: 2, pp. 460-472, Feb. 2021 (CCF A类)
J. Fan, M. Jiang, Ori Rottenstreich, Y. Zhao*, T. Guan, R. Ramesh, S. Das and C. Qiao, “A Framework for Provisioning Availability of NFV in Data Center Networks”, IEEE J. of Sele. Area in Commu. , Volume: 36, Issue: 10, pp. 2246 – 2259, Oct. 2018 (corresponding author) (CCF A类)
Y. Zhao, C. Tian, Z. Zhu, J. Cheng, C. Qiao and A. Liu “Minimize the Make-span of Batched Requests for FPGA Pooling in Cloud Computing”, IEEE Transactions on Parallel and Distributed Systems, Volume: 29, Issue: 11, pp. 2514 – 2527, Nov. 2018 (CCF A类)
S. Luo, H. Yu, Y. Zhao, B. Wu, S. Wang. S. Yu and L. Li, “Towards Practical and Near-optimal Coflow Scheduling for Data Center Networks”, IEEE Trans. on Parallel and Distributed Systems, Volume: 27, Issue: 11, pp. 3366 – 3380, Nov. 2016 (CCF A类)
Y. Zhao and C. Qiao “Redundant Entanglement Provisioning and Selection for Throughput Maximization in Quantum Networks”, IEEE International Conference on Computer Communications (INFOCOM) 2021 (CCF A类)
Z. Wang, H. Xu, J. Liu, H. Huang, C. Qiao and Y. Zhao “Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing”, IEEE International Conference on Computer Communications (INFOCOM) 2021 (CCF A类)
Z. Meng, H. Xu, M. Chen, Y. Xu, Y. Zhao and C. Qiao, “Learning-Driven Decentralized Machine Learning in Resource-Constrained Wireless Edge Computing”, IEEE International Conference on Computer Communications (INFOCOM) 2021 (CCF A类)
Y. Zhao, J. Fan, L. Su, T. Song, S. Wang and C. Qiao “SNAP: A Communication Efficient Distributed Machine Learning Framework for Edge Computing”, IEEE International Conference on Distributed Computing Systems (ICDCS) 2020 (CCF B类)
Y. Zhao, C. Tian, J. Fan, T. Guan and C. Qiao “RPC: Joint Online Reducer Placement and Coflow Bandwidth Scheduling for Clusters”, IEEE International Conference on Network Protocols (ICNP) 2018 (CCF B类)
