周知

教师简介: 

周知，副教授、博士生导师，分别于2012年、2014年和2017年在华中科技大学jbo竞博电竞官方网站取得本科、硕士和博士学位，2017年10月加入jbo竞博电竞官方网站。近年来的主要研究方向包括云计算与边缘计算、大数据处理和机器学习系统等，在PIEEE、IEEE/ACM ToN、IEEE JSAC、IEEE TC、IEEE TPDS、IEEE TMC、IEEE TWC和ACM TOMPECS等国际学术期刊以及IEEE INFOCOM、IEEE RTSS、IEEE ICDCS、ACM MobiHoc、ACM ICPP等国际学术会议发表论文90余篇，论文总引用次数逾6000次。曾获得广东省杰出青年科学基金、2019年中国计算机学会优秀博士学位论文奖提名、2018年ACM武汉优秀博士学位论文奖（唯一获奖者）、2018年湖北省计算机学会优秀博士学位论文奖（唯一获奖者）、IEEE IoTJ 2022年度最佳论文亚军奖、IEEE UIC2018国际学术会议最佳论文奖。目前主持国家自然科学基金等科研项目8项，并参与国家重点研发计划等项目多项。先后担任CBD 2023国际会议执行主席、ICCN 2022/2019国际研讨会共同主席、2019 MobiArch国际研讨会共同副主席、2020 IOIoT国际研讨会共同评委主席。

研究领域: 

云原生与边缘原生：服务器无感知计算（serverless）、微服务、天空计算、WebAssembly、云边协同

机器学习与大数据处理系统：边缘智能、云原生机器学习系统、分布式大数据处理、面向AI应用的异构协同与硬件加速

绿色计算与软件定义能源系统：数据中心能耗管理、软件定义电池、绿色AI

教育背景: 

2020.08 - 至今，jbo竞博电竞官方网站，副教授

2018.12 - 2020.07，jbo竞博电竞官方网站，特聘研究员

2017.10 - 2018.11，jbo竞博电竞官方网站，特聘副研究员

2016.08 - 2016.11，德国哥廷根大学，访问学生

2014.09 - 2017.09，华中科技大学，计算机系统机构，博士

2012.09 - 2014.06，华中科技大学，计算机技术，硕士

2009.09 - 2012.06，武汉大学，金融学，辅修

2008.09 - 2012.06，华中科技大学，计算机科学与技术，本科

获奖及荣誉: 

2023年全国开放式分布与并行计算学术年会（DPCS）最佳学生论文奖

2023年IEEE WCNC最佳论文奖提名（Best Paper Award Nomination）

2022年IEEE IoTJ年度最佳论文亚军奖（Best Paper Runner-Up Award）

2021年“智能基座”华为云与计算先锋教师

2019年中国计算机学会优秀博士学位论文奖提名

2018年ACM武汉优秀博士学位论文奖（唯一获奖者）

2018年湖北省计算机学会优秀博士学位论文奖（唯一获奖者）

2018 IEEE UIC最佳论文奖

研究生国家奖学金（2016年、2015年和2013年）

2015年湖北省优秀硕士学位论文奖

2013年华中科技大学三好研究生标兵

2013年Google卓越奖学金

2013年搜狐科研实践奖学金

2013年湖北省优秀学士学位论文奖

科研项目: 

广东省杰出青年科学基金，面向边缘智能的算法与软硬件一体化设计，主持，2023.01-2026.12

jbo竞博电竞官方网站青年拔尖人才培育项目，面向数据中心双碳的多路能源与异构负荷协同调度研究，主持，2023.01-2024.12

国家重点研发计划课题，服务器无感知计算性能隔离技术，子课题负责人，2022.10-2025.09

国家自然科学基金面上项目，面向边缘智能的神经网络模型与边缘计算系统协同设计，主持，2022.01-2025.12

国家自然科学基金青年项目，面向边缘计算的异构资源协同与全局效能优化研究，主持，2019.01-2021.12

广东省自然科学基金面上项目，面向边缘智能的分布式数据分析处理方法研究，主持，2021.01-2023.12

广东省自然科学基金自由申请项目，面向绿色移动边缘计算的效能管理机制研究，主持，2018.05-2021.04

中央高校基本科研业务费项目，面向边缘智能的轻量级机器学习技术，主持，2020.01-2022.12

中国电信委托课题，异构计算调度技术，主持，2022-2023

飞腾公司委托课题，飞腾并行体系结构下的算法/函数库深度优化实践，主持，2022-2023

国家重点研发计划课题，高效能云计算数据中心资源调度关键技术研究，参与，2017.10-2021.09

国家自然科学基金区域创新发展联合基金重点项目，面向智能服务的移动边缘智能网络及高效感知-接入-处理机制研究，参与，2021.01-2024.12

代表性论著: 

专著：

Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen, and Junshan Zhang. "Edge Intelligence in the Making: Optimization, Deep Learning, and Applications", 233 papges, Morgan & Claypool Publishers, 2021.

期刊论文:

[TMC2021] Song Yang, Fan Li, Zhi Zhou, Xu Chen, Yu Wang, and Xiaoming Fu, “Online Control ofService Function Chainings Across Geo-Distributed Datacenters,” accepted by IEEE Transactions on Mobile Computing (TMC), Dec. 2021.

[TMC2021] Ouyang Tao, Xu Chen, Zhi Zhou, and Xin Tang, “Adaptive User-managed Service Placement for Mobile Edge Computing via Contextual Multi-armed Bandit Learning,” accepted by IEEE Transactions on Mobile Computing (TMC), Aug. 2021.

[IoTJ2021] Lin Jia, Zhi Zhou*, Fei Xu, and Hai Jin, “Cost-Efficient Continuous Edge Learning for Artificial-Intelligence-of-Things (AIoT)”, accepted by IEEE Internet of Things Journal (IoTJ), Aug. 2021. 

[中国科学2021] 周知, 刘方明. “面向多租户数据中心资源回收利用的能效激励机制”, 中国科学: 信息科学, Vol.51, No.5, pp. 735-749, 2021.

[TMC2021] Bin Gao, Zhi Zhou, Fangming Liu, Fei Xu, and Bo Li, “An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing”, accepted by IEEE Transaction on Mobile Computing (TMC), Mar. 2021.

[IoTJ2021] Hai Jin, Lin Jia, Zhi Zhou*. “Boosting Edge Intelligence With Collaborative Cross-Edge Analytics”, IEEE Internet of Things Journal, Volume: 8, Issue: 4, Feb.15, 2021.

[TC2021] Fei Xu, Yiling Qin, Li Chen, Zhi Zhou, and Fangming Liu, “λDNN: Achieving Predictable Distributed DNN Training with Serverless Architectures”, accepted by IEEE Transactions on Computers (TC), Jan. 2021.

[ToN2021] Qiong Wu, Xu Chen, Zhi Zhou, Lian Chen, and Junshan Zhang, “Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control,” accepted by IEEE/ACM Transactions on Networking (ToN), Jan. 2021.

[TMC2020] Qiong Wu, Xu Chen, Zhi Zhou, and Junshan Zhang, “FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring,” accepted by IEEE Transactions on Mobile Computing (TMC), Dec. 2020.

[ToN2020] Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, and Junshan Zhang. "CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices", accepted by IEEE/ACM Transactions on Networking (ToN), Nov. 2020.

[TMC2020] Ruiting Zhou, Xueying Zhang, Shixin Qin, John C.S. Lui, Zhi Zhou, Hao Huang and Zongpeng Li. "Online Task Offloading for 5G Small Cell Networks", accepted by IEEE Transactions on Mobile Computing (TMC), Nov. 2020.

[TMC2020] Kaiwen He, Xu Chen, Qiong Wu, Shuai Yu, and Zhi Zhou​. "Graph Attention Spatial-Temporal Network with Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction", accepted by IEEE Transactions on Mobile Computing (TMC), 2020.

[TWC2020] Huirong Ma, Zhi Zhou, and Xu Chen. "Leveraging the Power of Prediction: Predictive Service Placement for Latency-Sensitive Mobile Edge Computing", IEEE Transactions on Wireless Communications (TWC), 2020.

[IoTJ2020] Zhi Zhou, Song Yang, Linjun Pu, and Shuai Yu. "CEFL: Online Admission Control, Data Scheduling and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes", IEEE Internet of Things Journal (IoTJ), 2020.

[IoTJ2020] Zhi Zhou, Shuai Yu, Wuhui Chen, and Xu Chen. "CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications", IEEE Internet of Things Journal (IoTJ), Vol.7, No. 9, pp. 8600 - 8614, May 2020.

[TPDS2020] Zhi Zhou，Fangming Liu, Shutong Chen, and Zongpeng Li. "A Truthful and Efficient Incentive Mechanism for Demand Response in Green Datacenters", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 31, No. 1, pp. 1 - 15, Jan. 2020.

[JSAC2020] Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, and Liang Chen, "DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network", IEEE Journal on Selected Areas in Communications (JSAC), March 2020.

[TWC2020] En Li, Liekang Zeng, Zhi Zhou, and Xu Chen. "Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing", IEEE Transactions on Wireless Communications (TWC), Vol. 19, No. 1, pp. 447 – 457, Jan. 2020. (200+ citations)

[PIEEE2019] Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, and Junshan Zhang. "Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing", Proceedings of the IEEE (PIEEE), Vol. 107, No. 8, pp.1738 – 1762, Aug. 2019. (Top#1 popular article of PIEEE from Jan. 2020 to Feb. 2021, 700+ citations)

[JSAC2019] Zhi Zhou, Qiong Wu, and Xu Chen. "Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing", IEEE Journal on Selected Areas in Communications (JSAC), Vol. 37, No. 8, pp. 1866 - 1880, Aug. 2019.

[TPDS2019] Fei Xu, Haoyue Zheng, Huan Jiang, Wujie Shao, Haikun Liu, and Zhi Zhou. "Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 30, No. 5, pp. 1036 – 1051, May 2019.

[TCC2019] Rui Li, Zhi Zhou, Xu Chen, and Qing Ling. "Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach", IEEE Transactions on Cloud Computing (TCC), Aug. 2019.

[JSAC2018] Tao Ouyang, Zhi Zhou, and Xu Chen. "Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing", IEEE Journal on Selected Areas in Communications (JSAC), Vol. 36, No. 10, pp. 2333-2345, Oct. 2018. (200+ citations)

[JSAC2016] Zhi Zhou, Fangming Liu, and Zongpeng Li. "Bilateral electricity trade between smart grids and green datacenters: Pricing models and performance evaluation", IEEE Journal on Selected Areas in Communications (JSAC), Vol. 34, No. 12, pp. 3993 – 4007, Dec. 2016.

[TPDS2016] Zhi Zhou, Fangming Liu, Ruolan Zou, Jiangchuan Liu, Hong Xu, and Hai Jin. "Carbon-aware Online Control of Geo-distributed Cloud Services", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 27, No. 9, pp. 2506–2519, Dec. 2016.

[TPDS2014] Fangming Liu, Zhi Zhou, Hai Jin, Bo Li, Baochun Li, and Hongbo Jiang. "On arbitrating the power-performance tradeoff in SaaS clouds", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 27, No. 9, pp. 2648–2658, Oct. 2014.

会议论文：

[WWW2022] Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, and Xu Chen, “Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing”, The ACM Web Conference (WWW), Online, 25-29 April, 2022.

[ICPP2020] Xueying Zhang, Ruiting Zhou, Zhi Zhou, John C.S. Lui, and Zongpeng Li. "An Online Learning-Based Task Offloading Framework for 5G Small Cell Networks", in Proc. of the 49th International Conference on Parallel Processing (ICPP), 2020.

[RTSS2019] Tao Ouyang, Xu Chen, Liekang Zeng, and Zhi Zhou. "Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning", in Proc. of IEEE Real-Time Systems Symposium (RTSS), 2019.

[INFOCOM2019] Bin Gao, Zhi Zhou, Fangming Liu, and Fei Xu. "Winning at the starting line: Joint network selection and service placement for mobile edge computing", in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2019. (100+ citations)

[INFOCOM2019] Tao Ouyang, Rui Li, Xu Chen, Zhi Zhou, and Xin Tang. "Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach", in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2019. (100+ citations)

[MobiHoc2019] Zhi Zhou, Xu Chen, Weigang Wu, Di Wu, and Junshan Zhang. "Predictive Online Server Provisioning for Cost-Efficient IoT Data Streaming Across Collaborative Edges", in Proc. of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2019.

[ICDCS2019] Siqi Luo, Xu Chen, and Zhi Zhou. "F3C: Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing", in Proc. of IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019.

[ICPP2019] Haoyue Zheng, Fei Xu, Li Chen, Zhi Zhou, and Fangming Liu. "Cynthia: Cost-efficient cloud resource provisioning for predictable distributed deep neural network training", in Proc. of the 48th International Conference on Parallel Processing (ICPP), 2019.

[UIC2018] Lin Jia, Zhi Zhou*, and Hai Jin. “Optimizing the performance-cost tradeoff in cross-edge analytics”, in Proc. of 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), 2018. (Best Paper Award)

[ICDCS2018] Fei Xu, Shuai Yang, Zhi Zhou, and Jia Rao. "eBrowser: Making Human-Mobile Web Interactions Energy Efficient with Event Rate Learning", in Porc. of IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018.

[IWQoS2018] Tao Ouyang, Zhi Zhou*, and Xu Chen*. "Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing", in Proc. of IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), 2018.

[MECOMM2018] En Li, Zhi Zhou, and Xu Chen. "Edge intelligence: On-demand deep learning model co-inference with device-edge synergy", in Proc, of ACM SIGCOMM Workshop on Mobile Edge Communications (MECOMM), 2018. (200+ citations)

[INFOCOM2015] Zhi Zhou, Fangming Liu, Zongpeng Li, and Hai Jin. "When Smart Grid Meets Geo-Distributed Cloud: An Auction Approach to Datacenter Demand Response. In Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2015.

[SIGMETRICS2015] Zhi Zhou, Fangming Liu, and Zongpeng Li. "Pricing Bilateral Electricity Trade between Smart Grids and Hybrid Green Datacenters", 2-pages Extended Abstract, in Proc. of ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2015.

[ICDCS2014] Zhi Zhou, Fangming Liu, Bo Li, Baochun Li, Hai Jin, Ruolan Zou, and Zhiyong Liu. "Fuel Cell Generation in Geo-Distributed Cloud Services: A Quantitative Study", in Proc. of IEEE 34th International Conference on Distributed Computing Systems (ICDCS), 2014.

[INFOCOM2013] Zhi Zhou, Fangming Liu, Hai Jin, Bo Li, Baochun Li, and Hongbo Jiang. "On arbitrating the power-performance tradeoff in SaaS clouds", in Proc. of IEEE International Conference on Computer Communications (INFOCOM), 2013. (150+ citations)

[MASCOTS2013] Zhi Zhou, Fangming Liu, Yong Xu, Ruolan Zou, Hong Xu, John CS Lui, and Hai Jin. "Carbon-aware Load Balancing for Geo-distributed Cloud Services", in Proc. of the 21th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2013. (90+ citations)