唐志清

智慧城市物联网国家重点实验室

澳门大学

 

 

 

 

 

邮箱:zhiqingtang[at]um.edu.mo / root[at]tzq.net

唐志清于 2015 年毕业于电子科技大学信息与通信工程学院网络工程系,2022 年获得上海交通大学电子信息与电气工程计算机博士学位。他的研究方向主要包括边缘计算、物联网、容器调度等。

教育经历

  • 上海交通大学
    • 2015.09 - 2022.03博士,计算机科学与工程系
  • 电子科技大学
    • 2011.09 - 2015.06本科,信息与通信工程学院

工作经历

  • 澳门大学
    • 2022.07 - 2022.12博士后,智慧城市物联网国家重点实验室
  • 北京师范大学
    • 2020.10 - 2022.03助理研究员,珠海校区人工智能与未来网络研究院
  • 澳门大学
    • 2018.07 - 2020.07助理研究员,智慧城市物联网国家重点实验室

论文发表

已发表(*通讯作者)

  1. Energy-efficient Joint Task Assignment and Migration in Data Centers: A Deep Reinforcement Learning Approach
    Jiong Lou, Zhiqing Tang*, Weijia Jia*
    IEEE Transactions on Network and Service Management (TNSM), 2022, Early Access. (JCR-Q2) [DOI][PDF]
  2. Cost-Effective Scheduling for Dependent Tasks with Tight Deadline Constraints in Mobile Edge Computing
    Jiong Lou, Zhiqing Tang*, Songli Zhang, Weijia Jia*, Wei Zhao, Jie Li
    IEEE Transactions on Mobile Computing (TMC), 2022, Early Access. (CCF-A) [DOI][PDF]
  3. Pricing Model for Dynamic Resource Overbooking in Edge Computing
    Zhiqing Tang, Fuming Zhang, Xiaojie Zhou, Weijia Jia, Wei Zhao

    IEEE Transactions on Cloud Computing (TCC), 2022, Early Access. (JCR-Q1) [DOI][PDF]
  4. Efficient Instance Reuse Approach for Service Function Chain Placement in Mobile Edge Computing
    Songli Zhang, Weijia Jia, Zhiqing Tang, Jiong Lou, Wei Zhao
    Computer Networks (CN), 2022: 109010. (CCF-B) [DOI] [PDF]
  5. Efficient Container Assignment and Layer Sequencing in Edge Computing
    Jiong Lou, Hao Luo, Zhiqing Tang*, Weijia Jia*, Wei Zhao
    IEEE Transactions on Services Computing (TSC), 2022, Early Access. (CCF-B) [DOI] [PDF]
  6. Layer Dependency-aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing
    Zhiqing Tang, Jiong Lou, Weijia Jia
    IEEE Transactions on Mobile Computing (TMC), 2022, Early Access. (CCF-A) [DOI] [PDF]
  7. Dependent Task Offloading for Multiple Jobs in Edge Computing
    Zhiqing Tang, Jiong Lou, Fuming Zhang, Weijia Jia
    2020 29th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2020: 1-9. (CCF-C) [DOI] [PDF]
  8. Representation and Reinforcement Learning for Task Scheduling in Edge Computing
    Zhiqing Tang, Weijia Jia, Xiaojie Zhou, Wenmian Yang, Yongjian You
    IEEE Transactions on Big Data (TBD), 2020, 8(3): 795-808. (JCR-Q1) [DOI] [PDF]
  9. Online Joint Scheduling of Delay-Sensitive and Computation-Oriented Tasks in Edge Computing
    Fuming Zhang, Zhiqing Tang, Jiong Lou, Weijia Jia
    2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN). IEEE, 2019: 303-308. (CCF-C) [DOI] [PDF]
  10. A Dynamic Resource Overbooking Mechanism in Fog Computing
    Fuming Zhang, Zhiqing Tang, Mincheng Chen, Xiaojie Zhou, Weijia Jia
    2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2018: 89-97. (CCF-C) [DOI] [PDF]
  11. WiFind: Driver fatigue detection with fine-grained Wi-Fi signal features
    Weijia Jia, Na Ruan, Hongjian Peng, Zhiqing Tang, Wei Zhao
    IEEE Transactions on Big Data (TBD), 2018, 6(2): 269-282. (JCR-Q1) [DOI] [PDF]
  12. Migration Modeling and Learning Algorithms for Containers in Fog Computing
    Zhiqing Tang, Xiaojie Zhou, Fuming Zhang, Weijia Jia, Wei Zhao
    IEEE Transactions on Services Computing (TSC), 2018, 12(5): 712-725. (CCF-B) [DOI] [PDF]

更多信息请前往 Google Scholar 查看。

学术经历

  • 审稿人
    • IEEE Transactions on Services Computing
    • IEEE Internet of Things Journal
    • IEEE INFOCOM
    • IEEE ICDCS
    • ACM Journal of the ACM
  • 助教
    • 上海交通大学研究生英文课程,Modern Mobile Communications and Computing,2018

研究兴趣

  • 边缘计算
  • 物联网
  • 强化学习
  • 资源调度

编程语言

  • Python
  • C / C++

最后更新:2022-09-29 @Macau