趙陽明

Email：zhaoym@ustc.edu.cn

課題組主頁：http://staff.ustc.edu.cn/~xuhongli/int/ 

主要研究方向：量子通信、網絡通信係統、分布式係統、機器學習


 

趙陽明，男，出生於1986年，現為188bet亚洲体育博彩及真人 特任研究員。2015年博士畢業於電子科技大學。畢業後供職於上海貝爾實驗室、2016年3月赴紐約州立大學布法羅分校，任研究科學家。趙陽明長期從事網絡通信係統，分布式係統的研究。近年來發表高水平論文40餘篇，其中CCF A類論文16篇，B類論文10篇，並長期擔任IEEE/ACM TON, IEEE TPDS，IEEE JSAC等CCF A類期刊的審稿工作。

我們由衷歡迎相關專業的優秀本科生報考我們課題組的研究生，同時也歡迎低年級本科生提前加入我們，一起探索網絡領域的難題。

 

代表性論著：

  1. 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類)

  2. 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類)

  3. 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類)

  4. 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類)

  5. 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類)

  6. 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類)

  7. 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類)

  8. 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類)

  9. 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類)

  10. 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類)

 



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