云计算技术研究中心

Faculty

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栗力 Li Li

助理研究员
Assistant Professor
li.li@siat.ac.cn

Interests 研究方向

 栗力,博士,助理研究员。俄亥俄州立大学博士,深圳市海外高层次人才“孔雀计划”C类。主要研究方向为云计算,移动计算,分布式机器学习,在包括RTSS, INFOCOM ,ICDCS等顶级国际会议和期刊发表论文20余篇。

云计算,移动计算,分布式学习

参与项目:

  1. 国自然面上项目,面向多层级交互型应用的云原生系统资源管理与优化方法, 参与

  2. 广东省重点研发专项,面向云数据中心智能管控的软件定义方法与关键技术, 参与

代表性论文:

  1.  Li Li, Xiaorui Wang, Wenli Zheng, and ChengZhong Xu, “SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance”, IEEE International Conference on Computer Communications (INFOCOM 2021).

  2. Li Li, Xiaorui Wang, and Feng Qin, “EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point”, International Conference on Distributed Computing Systems (ICDCS 2020).

  3. Li Li, Jun Wang, Xu Chen, ChengZhong Xu, “Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning”, IEEE/ACM International Symposium on Quality of Service (IWQOS 2020).

  4. Li Li, Haoyi Xiong, Zhishan Guo, Jun Wang and ChengZhong Xu, “SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System”, IEEE Real-Time Systems Symposium (RTSS 2019).

  5. Li Li, Wenli Zheng, Xiaodong Wang, and Xiaorui Wang, “Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization,” the 11th International Conference on Autonomic Computing (ICAC 2014).

  6. Li Li, Jun Wang, Xiaorui Wang, Handong Ye, and Ziang Hu, “SceneMan: Bridging Mobile Apps with System Energy Manager via Scenario Notification,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED 2017).

  7. Cong Wang, Yanru Xiao, Xing Gao, Li Li, and Jun Wang, “Close the Gap between Deep Learning and Mobile Intelligence by Incorperating Training in the Loop”, ACM Multimedia (ACM MM 2019).

  8. Xing Gao, Zhang Xu, Haining Wang, Li Li and Xiaorui Wang, “Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center,” the Network and Distributed System Security Symposium (NDSS 2018).

  9. Kuangyu Zheng, Xiaodong Wang, Li Li, and Xiaorui Wang, “Joint Power Optimization of Data Center Network and Servers with Correlation Analysis, “ the 33rd IEEE International Conference on Computer Communications (INFOCOM 2014).

  10. Xing Gao, Guannan Liu, Zhang Xu, Haining Wang, Li Li, and Xiaorui Wang, “Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy”, in IEEE Transactions on Dependable and Secure Computing (TDSC 2021).

代表性专利:

  1. 栗力,须成忠. 联邦学习方法,存储介质,终端,服务器,联邦学习系统,CN201911175010.8, 初审

  2. 栗力,须成忠,高程希,孟天晖. 移动应用的能耗异常定位方法及系统,CN201911271744.6, 初审


Introduction 简介

 栗力,博士,助理研究员。俄亥俄州立大学博士,深圳市海外高层次人才“孔雀计划”C类。主要研究方向为云计算,移动计算,分布式机器学习,在包括RTSS, INFOCOM ,ICDCS等顶级国际会议和期刊发表论文20余篇。

云计算,移动计算,分布式学习

参与项目:

  1. 国自然面上项目,面向多层级交互型应用的云原生系统资源管理与优化方法, 参与

  2. 广东省重点研发专项,面向云数据中心智能管控的软件定义方法与关键技术, 参与

代表性论文:

  1.  Li Li, Xiaorui Wang, Wenli Zheng, and ChengZhong Xu, “SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance”, IEEE International Conference on Computer Communications (INFOCOM 2021).

  2. Li Li, Xiaorui Wang, and Feng Qin, “EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point”, International Conference on Distributed Computing Systems (ICDCS 2020).

  3. Li Li, Jun Wang, Xu Chen, ChengZhong Xu, “Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning”, IEEE/ACM International Symposium on Quality of Service (IWQOS 2020).

  4. Li Li, Haoyi Xiong, Zhishan Guo, Jun Wang and ChengZhong Xu, “SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System”, IEEE Real-Time Systems Symposium (RTSS 2019).

  5. Li Li, Wenli Zheng, Xiaodong Wang, and Xiaorui Wang, “Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization,” the 11th International Conference on Autonomic Computing (ICAC 2014).

  6. Li Li, Jun Wang, Xiaorui Wang, Handong Ye, and Ziang Hu, “SceneMan: Bridging Mobile Apps with System Energy Manager via Scenario Notification,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED 2017).

  7. Cong Wang, Yanru Xiao, Xing Gao, Li Li, and Jun Wang, “Close the Gap between Deep Learning and Mobile Intelligence by Incorperating Training in the Loop”, ACM Multimedia (ACM MM 2019).

  8. Xing Gao, Zhang Xu, Haining Wang, Li Li and Xiaorui Wang, “Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center,” the Network and Distributed System Security Symposium (NDSS 2018).

  9. Kuangyu Zheng, Xiaodong Wang, Li Li, and Xiaorui Wang, “Joint Power Optimization of Data Center Network and Servers with Correlation Analysis, “ the 33rd IEEE International Conference on Computer Communications (INFOCOM 2014).

  10. Xing Gao, Guannan Liu, Zhang Xu, Haining Wang, Li Li, and Xiaorui Wang, “Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy”, in IEEE Transactions on Dependable and Secure Computing (TDSC 2021).

代表性专利:

  1. 栗力,须成忠. 联邦学习方法,存储介质,终端,服务器,联邦学习系统,CN201911175010.8, 初审

  2. 栗力,须成忠,高程希,孟天晖. 移动应用的能耗异常定位方法及系统,CN201911271744.6, 初审


Research 科研

 栗力,博士,助理研究员。俄亥俄州立大学博士,深圳市海外高层次人才“孔雀计划”C类。主要研究方向为云计算,移动计算,分布式机器学习,在包括RTSS, INFOCOM ,ICDCS等顶级国际会议和期刊发表论文20余篇。

云计算,移动计算,分布式学习

参与项目:

  1. 国自然面上项目,面向多层级交互型应用的云原生系统资源管理与优化方法, 参与

  2. 广东省重点研发专项,面向云数据中心智能管控的软件定义方法与关键技术, 参与

代表性论文:

  1.  Li Li, Xiaorui Wang, Wenli Zheng, and ChengZhong Xu, “SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance”, IEEE International Conference on Computer Communications (INFOCOM 2021).

  2. Li Li, Xiaorui Wang, and Feng Qin, “EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point”, International Conference on Distributed Computing Systems (ICDCS 2020).

  3. Li Li, Jun Wang, Xu Chen, ChengZhong Xu, “Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning”, IEEE/ACM International Symposium on Quality of Service (IWQOS 2020).

  4. Li Li, Haoyi Xiong, Zhishan Guo, Jun Wang and ChengZhong Xu, “SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System”, IEEE Real-Time Systems Symposium (RTSS 2019).

  5. Li Li, Wenli Zheng, Xiaodong Wang, and Xiaorui Wang, “Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization,” the 11th International Conference on Autonomic Computing (ICAC 2014).

  6. Li Li, Jun Wang, Xiaorui Wang, Handong Ye, and Ziang Hu, “SceneMan: Bridging Mobile Apps with System Energy Manager via Scenario Notification,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED 2017).

  7. Cong Wang, Yanru Xiao, Xing Gao, Li Li, and Jun Wang, “Close the Gap between Deep Learning and Mobile Intelligence by Incorperating Training in the Loop”, ACM Multimedia (ACM MM 2019).

  8. Xing Gao, Zhang Xu, Haining Wang, Li Li and Xiaorui Wang, “Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center,” the Network and Distributed System Security Symposium (NDSS 2018).

  9. Kuangyu Zheng, Xiaodong Wang, Li Li, and Xiaorui Wang, “Joint Power Optimization of Data Center Network and Servers with Correlation Analysis, “ the 33rd IEEE International Conference on Computer Communications (INFOCOM 2014).

  10. Xing Gao, Guannan Liu, Zhang Xu, Haining Wang, Li Li, and Xiaorui Wang, “Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy”, in IEEE Transactions on Dependable and Secure Computing (TDSC 2021).

代表性专利:

  1. 栗力,须成忠. 联邦学习方法,存储介质,终端,服务器,联邦学习系统,CN201911175010.8, 初审

  2. 栗力,须成忠,高程希,孟天晖. 移动应用的能耗异常定位方法及系统,CN201911271744.6, 初审


Publications 研究成果

 栗力,博士,助理研究员。俄亥俄州立大学博士,深圳市海外高层次人才“孔雀计划”C类。主要研究方向为云计算,移动计算,分布式机器学习,在包括RTSS, INFOCOM ,ICDCS等顶级国际会议和期刊发表论文20余篇。

云计算,移动计算,分布式学习

参与项目:

  1. 国自然面上项目,面向多层级交互型应用的云原生系统资源管理与优化方法, 参与

  2. 广东省重点研发专项,面向云数据中心智能管控的软件定义方法与关键技术, 参与

代表性论文:

  1.  Li Li, Xiaorui Wang, Wenli Zheng, and ChengZhong Xu, “SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance”, IEEE International Conference on Computer Communications (INFOCOM 2021).

  2. Li Li, Xiaorui Wang, and Feng Qin, “EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point”, International Conference on Distributed Computing Systems (ICDCS 2020).

  3. Li Li, Jun Wang, Xu Chen, ChengZhong Xu, “Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning”, IEEE/ACM International Symposium on Quality of Service (IWQOS 2020).

  4. Li Li, Haoyi Xiong, Zhishan Guo, Jun Wang and ChengZhong Xu, “SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System”, IEEE Real-Time Systems Symposium (RTSS 2019).

  5. Li Li, Wenli Zheng, Xiaodong Wang, and Xiaorui Wang, “Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization,” the 11th International Conference on Autonomic Computing (ICAC 2014).

  6. Li Li, Jun Wang, Xiaorui Wang, Handong Ye, and Ziang Hu, “SceneMan: Bridging Mobile Apps with System Energy Manager via Scenario Notification,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED 2017).

  7. Cong Wang, Yanru Xiao, Xing Gao, Li Li, and Jun Wang, “Close the Gap between Deep Learning and Mobile Intelligence by Incorperating Training in the Loop”, ACM Multimedia (ACM MM 2019).

  8. Xing Gao, Zhang Xu, Haining Wang, Li Li and Xiaorui Wang, “Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center,” the Network and Distributed System Security Symposium (NDSS 2018).

  9. Kuangyu Zheng, Xiaodong Wang, Li Li, and Xiaorui Wang, “Joint Power Optimization of Data Center Network and Servers with Correlation Analysis, “ the 33rd IEEE International Conference on Computer Communications (INFOCOM 2014).

  10. Xing Gao, Guannan Liu, Zhang Xu, Haining Wang, Li Li, and Xiaorui Wang, “Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy”, in IEEE Transactions on Dependable and Secure Computing (TDSC 2021).

代表性专利:

  1. 栗力,须成忠. 联邦学习方法,存储介质,终端,服务器,联邦学习系统,CN201911175010.8, 初审

  2. 栗力,须成忠,高程希,孟天晖. 移动应用的能耗异常定位方法及系统,CN201911271744.6, 初审