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杨磊

姓名 杨磊
教师编号 81094
性别
学校 华南理工大学
部门 软件学院
学位 副教授
学历 副教授
职称 副教授
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更新日期:2022年6月22日 姓 名 杨磊 性 别 男 出生年月 1986年10月 籍贯 湖北仙桃市 民 族 汉族 政治面貌 中国共产党党员 最后学历 博士研究生 最后学位 哲学博士 技术职称 副教授 导师类别 博导 行政职务 系主任 Email sely@scut.edu.cn 工作单位 软件学院 邮政编码 510006 通讯地址 广州市大学城华南理工大学B8楼 单位电话 个人简介 华南理工大学软件学院副教授,博士生导师,2014年11月-2016年2月任香港理工大学博士后研究员。2012年12月-2013年3月德国达姆施塔特工业大学访问学者。2016年3月通过华南理工大学骨干教师人才引进加入软件学院。主要研究领域为网络与分布式系统、边缘计算与云计算、分布式机器学习、物联网与移动计算等。近年来在IEEE TMC、IEEE TC、IEEE TSC、IEEE TPDS、IEEE TCC、ACM TKDD等国际顶级期刊以及 IEEE INFOCOM等国际权威会议发表论文六十余篇,申请发明专利十余件。荣获2018年教育部自然科学奖二等奖(排名第3),IEEE TCCLD Research Innovation Award (排名第2)。发表论文曾获云计算顶级期刊IEEE TCC当期唯一Spotlight论文。单篇论文Google Scholar 最高引用491次。主持国家自然科学基金面上与青年项目、广东省自然科学基金项目、广州市科技计划项目、中央高校科研业务经费、CCF-腾讯犀牛鸟创意基金等项目。担任多个国际会议程序委员会委员以及国际重要期刊审稿人。 工作经历 2016年3月-至今 华南理工大学软件学院, 副教授2014年11月-2016年2月,香港理工大学博士后 教育经历 2010年7月-2014年5月, 香港理工大学电子计算学系,博士2012年11月-2013年3月,德国达姆斯塔特工业大学,访问学者2007年9月 - 2010年6月,中科院计算所,硕士2003年9月 - 2007年6月,武汉大学,学士 社会、学会及学术兼职 IEEE 会员、CCF会员,担任多个国际会议TPC成员 研究领域 网络与分布式系统、边缘计算与云计算、分布式机器学习、物联网与移动计算 科研项目 协作式边缘计算下网络感知的任务调度技术研究,国家自然科学基金面上项目,主持移动云计算下针对数据流应用的动态计算切分研究,国家自然科学基金青年项目,主持边缘计算中基于多层次结构的分布式模型训练方法研究,广东省自然科学基金项目,主持面向差异化应用的边缘云性能优化,广东省自然科学基金项目,主持面向边缘智能的分布式模型学习方法研究,广州市基础与应用基础研究项目,主持移动边缘计算性能建模与优化,华南理工大学中央高校业务经费,主持基于行为分析的移动应用隐私保护研究,CCF-腾讯犀牛鸟项目,主持 发表论文 代表性论文:1. Ziqi He, Lei Yang(*), Wanyu Lin, Weigang Wu. Improving Accuracy and Convergence in Group-based Federated Learning on Non-IID Data. IEEE Transactions on Network Science and Engineering. DOI: 10.1109/TNSE.2022.31632792. Lei Yang, Junzhong Jia, Hongcai Lin, Jiannong Cao. Reliable Dynamic Service Chain Scheduling in 5G Networks. IEEE Transactions on Mobile Computing. DOI: 10.1109/TMC.2022.31573123. Lei Yang, Yingqi Gan, Jiannong Cao, Zhenyu Wang. Optimizing Aggregation Frequency for Hierarchical Model Training in Heterogeneous Edge Computing. IEEE Transactions on Mobile Computing. DOI: 10.1109/TMC.2022.31495844. Lei Yang, Fulin Wen, Jiannong Cao, Zhenyu Wang. EdgeTB: a Hybrid Testbed for Distributed Machine Learning at the Edge with High Fidelity. IEEE Transactions on Parallel and Distributed Systems. 33(10):2540-2553, 20225. Yimin Shi , Haihan Duan, Lei Yang, Wei Cai. An Energy-efficient and Privacy-aware Decomposition Framework for Edge-assisted Federated Learning. ACM Transactions on Sensor Networks. https://doi.org/10.1145/35227416. Lei Yang, Xi Yu, Jiannong Cao, Wengen Li, Yuqi Wang, Michal Szczecinski. A Novel Demand Dispatching Model for Autonomous On-Demand Services. IEEE Transactions on Services Computing. 5(1): 322-333 , Jan 20227. Shaoshuai Ding, Lei Yang (*), Jiannong Cao, Wei Cai, Mingkui Tan, Zhenyu Wang. Partitioning Stateful Data Stream Applications in Dynamic Edge Cloud Environments. IEEE Transactions on Services Computing. DOI: 10.1109/TSC.2021.30510468. Lei Yang, Jiannong Cao, Zhenyu Wang, Weigang Wu. Network aware Mobile Edge Computation Partitioning in Multi-user Environments. IEEE Transactions on Services Computing. Vol.14, No. 5, Sept.- Oct., 2021, pp. 1478 – 1491. 9. Lei Yang, Bo Liu, Jiannong Cao, Yuvraj Sahni, Zhenyu Wang. Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Cloud. IEEE Transactions on Services Computing. Vol.14, No. 5, Sept.- Oct., 2021, pp. 1439 – 1452. 10. Lei Yang, Xi Yu, Jiannong Cao, Xuxun Liu, Pan Zhou. Exploring Deep Reinforcement Learning for Demand Dispatching in Autonomous On-Demand Services. ACM Transactions on Knowledge Discovery from Data. Vol.15, Issue 3, Article No.:44, pp 1-23, April 202111. Lei Yang, Yanyan Lu, Jiannong Cao, Jiaming Huang, Mingjin Zhang. E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI. IEEE Internet of Things Journal. Vol.8, No.14, July 2021, pp.11290 – 11304.12. Junzhong Jia, Lei Yang*, Jiannong Cao. Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning. IEEE International Conference on Computer Communications (INFOCOM 2021). 13. Yuvraj Sahni, Jiannong Cao, Lei Yang, Yusheng Ji. Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing. IEEE Transactions on Parallel and Distributed Systems. DOI: 10.1109/TPDS.2020.3042224, 202014. Yichen Liu, Pan Zhou, Lei Yang, Yulei Wu, Zichuan Xu, Kai Liu, Xiuming Wang. Privacy-Preserving Context-based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach.  IEEE Transactions on Emerging Topics in Computational Intelligence. DOI: 10.1109/TETCI.2021.308596415. Lei Yang, Lingling Zhang, Zongjian He, Jiannong Cao, Weigang Wu. Efficient Hybrid Data Dissemination in Edge Assisted Automated Driving. IEEE Internet of Things Journal.7(1):148 – 159, 202016. Xuxun Liu, Anfeng Liu, Tie Qiu, Bin Dai, Tian Wang, Lei Yang (*). Restoring Connectivity of Damaged Sensor Networks for Long-Term Survival in Hostile Environments. IEEE Internet of Things Journal. 7(2): 1205 – 1215, 202017. Fulin Wen, Lei Yang*, Wei Cai and Pan Zhou, DP-Hybrid: A Two-Layer Consensus Protocol for High Scalability in Permissioned Blockchain, International Conference on Blockchain and Trustworthy Systems (BlockSys 2020), Aug. 6-7, 2020.18. Xuxun Liu, Tie Qiu, Xiaobo Zhou, Tian Wang, Lei Yang and Victor Chang. Latency-Aware Anchor-Point Deployment for Disconnected Sensor Networks with Mobile Sinks. IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2019.291630019. Jin Cao, Lei Yang(*), Jiannong Cao. Revisiting Computation Partitioning in Future 5G based Edge Computing Environments. IEEE Internet of Things Journal, 6(2): 2427 – 2438, 201920. Rui Liu, Jiannong Cao, K. Zhang, W. Gao, Lei Yang, J. Liang, R. Yu. Understanding Mobile Users’ Privacy Expectations: A Recommendation-based Method through Crowdsourcing. IEEE Transactions on Services Computing. 12(2):304-318, 201921. Rui Lui, Jiannong Cao, K. Zhang, W. Gao, J. Liang, Lei Yang. When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps based on Crowdsourcing. IEEE Transactions on Services Computing. 11(5): 864 – 878, 2018              22. Weiqing Liu, Jiannong Cao, Lei Yang, Lin Xu, Xuanjia Qiu, Jing Li. AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning. IEEE Transactions on Parallel and Distributed Systems. 28(6): 1593-1606, 2017. 23. Lei Yang, Jiannong Cao, Guanqing Liang, Xu Han. Cost Aware Service Placement and Load Dispatching in Mobile Cloud Systems. IEEE Transactions on Computers. 65(5): 1440-1452, 2016. 24. Lei Yang, Jiannong Cao, Shaojie Tang, Di Han, Neeraj Suri. Run Time Application Repartitioning in Dynamic Mobile Cloud Environments. IEEE Transactions on Cloud Computing. 4(3): 336-348, 2016. 25. Lei Yang, Jianong Cao, Weiping Zhu, Shaojie Tang. Accurate and Efficient Object Tracking based on Passive RFID. IEEE Transactions on Mobile Computing. 14(11): 2188-2200, 2015. 26. Lei Yang, Jiannong Cao, Hui Cheng, and Yusheng Ji. Multi-user Computation Partitioning for Latency Sensitive Mobile Cloud Applications. IEEE Transactions on Computers, 64(8): 2253-2266, 2015 27. Weiping Zhu, Jiannong Cao, Yi Xu, Lei Yang, Junjun Kong. Fault-Tolerant RFID Reader Localization Based on Passive RFID Tags. IEEE Transactions on Parallel and Distributed Systems. 25(8): 2065 - 2076, 2014 28. Lei Yang, Jiannong Cao, Yin Yuan, Tao Li, Andy Han, Alvan Chan. A Framework for Partitioning and Execution of Data Stream Application in Mobile Cloud Computing. ACM SigMetrics Performance Evaluation Review, vol 40, no.4, pp.23-32, 2013 29. Lei Yang, Jiannong Cao, Weiping Zhu, Shaojie Tang. A Hybrid Method for achieving High Accuracy and Efficiency in Object Tracking using Passive RFID. 10th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom), Mar 19-23 2012, Lugano, Switzerland 科研创新 1. Xi Yu and Lei Yang. “A Many-to-Many Demand Dispatching Model for On-Demand Services 一种基于按需服务的多对多需求分配方法”. 201910280813.32. Linlin Zhang and Lei Yang. “A Hybrid Data Dissemination Approach for Edge based Vehicular Networks 一种基于边缘计算的车联网混合数据分发方法”. 201910349740.93. Lei Yang. “Data Configuration Processing Approach and Apparatus 数据配置处理方法及装置”. CN2017103996427 教学活动 本科生课程:《软件体系结构》《数据库系统》《数据库实训》研究生课程:《云计算技术》 指导学生情况 指导毕业的硕士研究生十余人,目前就职于华为、腾讯、阿里、小米、虎牙等知名企业。

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