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周欢

综合介绍 General Introduction 2014 年 3 月毕业于浙江大学控制科学与工程学院,获工学博士学位;2012 年 11 月-2013 年 5 月,在美国 Temple University 计算机与信息科学系交流访问;2016年 11月-2017年 11月,在加拿大 The University of British Columbia 进行博士后研究。2017年获聘湖北省“楚天学者”,2018年破格晋升为教授,2022年入选湖北省青年拔尖人才,2022-2023年入选全球前2%顶尖科学家榜单。主持国家自然科学基金3 项,湖北省杰青项目1项。现担任 SCI 期刊 EURASIP Journal on Wireless Communications and Networking和IEEE Access的编委;曾担任国际会议EAI GameNets 2022 和BDTA 2020的TPC Chair, IEEE ICET 2022/2023的Track Chair,SCI 期刊Pervasive and Mobile Computing 的客座主编等学术职务。发表和录用IEEE Trans. /J. /Mag. 论文 50余篇,其中一作 19篇,通讯17篇,包括IEEE JSAC 4篇,ESI 热点论文 2篇,ESI 高被引论文7篇;曾获得国际会议 I-SPAN 2014/2018 和IEEE iSCI的最佳论文奖,2016 年中国自动化学会优秀博士学位论文奖,以及2023年中国自动化学会自然科学奖一等奖等。 个人相册

教育教学

教育教学 Education and teaching 招生信息 所在团队为於志文教授担任主任的智能感知与计算工业和信息化部重点实验室。欢迎对边缘智能/车联网/人工智能/联邦学习等相关领域感兴趣的同学报考硕士/博士研究生。具有较强英文读写能力、算法设计与分析能力、数学理论功底的优先考虑。课题组同美国、加拿大、英国等多个国内外科研团队具有良好合作关系,将为研究生提供全方位的科研指导及国际合作条件。

荣誉获奖

科学研究 Scientific Research 目前主要从事移动边缘计算,车联网,群智感知,联邦学习和移动社交网络等方面的研究。

科学研究

学术成果 Academic Achievements 代表性论文:[1] H. Zhou, J. Chen, J. Fan, Y. Du, and S. K. Das. ConSub: Incentive-Based Content Subscribing in Selfish Opportunistic Mobile Networks, IEEE Journal on Selected Areas in Communications, 31(9): 669-679, 2013. (CCF A, IF: 16.4)[2] H. Zhou, X. Chen, S. He, J. Chen, and J. Wu. DRAIM: A Novel Delay-constraint and Reverse Auction-based Incentive Mechanism for WiFi Offloading, IEEE Journal on Selected Areas in Communication, vol. 38, no. 4, pp. 711-722, 2020. (CCF A, IF: 16.4)[3] H. Zhou, T. Wu, H. Zhang, and J. Wu. Incentive-driven Deep Reinforcement Learning for Content Caching and D2D Offloading, IEEE Journal on Selected Areas in Communication, 39(8): 2445-2460, August 2021. (CCF A, IF: 16.4)[4] H. Zhou, M. Li, N. Wang, G. Min, and J. Wu, Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading, IEEE Transactions on Parallel and Distributed System, 34(2): 475-488, 2023. (CCF A, IF: 5.3)[5] H. Zhou, T. Wu, X. Chen, S. He, D. Guo, and J. Wu, Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing, IEEE Transactions on Mobile Computing, 22(10): 6144-6159, 2023. (CCF A, IF: 7.9)[6] Y. Zhang, H. Zhang, H. Zhou, K. Long, and G. Karagiannidis, Resource Allocation in Terrestrial-Satellite based Next Generation Multiple Access Networks with Interference Cooperation, IEEE Journal on Selected Areas in Communication, vol. 40, no. 4, pp. 1210-1221, 2022. (CCF A, IF: 16.4, 通信)[7] H. Zhou, J. Wu, H. Zhao, S. Tang, C. Chen, and J. Chen. Incentive-Driven and Freshness-Aware Content Dissemination in Selfish Opportunistic Mobile Networks, IEEE Transactions on Parallel and Distributed System, 26(9): 2493-2505, 2015. (CCF A, IF: 5.3)[8] H. Zhou, Z. Zhang, D. Li, and Z. Su, Joint Optimization of Computing Offloading and Service Caching in Edge Computing-based Smart Grid, IEEE Transactions on Cloud Computing, 11(2): 1122-1132, 2023.(CCF B, IF: 6.5)[9] H. Zhou, X. Chen, S. He, C. Zhu, and Victor C. M. Leung. Freshness-aware Seed Selection for Offloading Cellular Traffic through Opportunistic Mobile Networks, IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2658-2669, April 2020. (CCF B, IF: 10.4)[10]  H. Zhou, K. Jiang, G. Min, S. He, and J. Wu, Distributed Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet of Vehicles, IEEE Transactions on Wireless Communications, accepted to appear. (CCF B, IF: 10.4)

学术成果

综合介绍