唐志清

北京师范大学 自然科学高等研究院

邮箱:zhiqingtang@bnu.edu.cn

唐志清是北京师范大学珠海校区自然科学高等研究院讲师,他于 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,导师是贾维嘉教授。他曾在澳门大学智慧城市物联网国家重点实验室从事博士后研究,合作导师为吴远教授。

他的研究方向主要包括边缘计算、物联网、边缘智能、人工智能、容器调度等。

教育经历

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

工作经历

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

论文发表

已发表(*通讯作者)

  1. Efficient Serverless Function Scheduling in Edge Computing
    Jiong Lou, Zhiqing Tang, Xinyu Lu, Shijing Yuan, Jie Li, Weijia Jia, Chentao Wu
    2024 IEEE International Conference on Communications (ICC). Accepted. (CCF-C) [PDF]
  2. Startup-aware Dependent Task Scheduling with Bandwidth Constraints in Edge Computing
    Jiong Lou, Zhiqing Tang*, Weijia Jia*, Wei Zhao, Jie Li
    IEEE Transactions on Mobile Computing (TMC), 2024, 23(2): 1586 - 1600. (CCF-A) [DOI] [PDF]
  3. Multi-user Layer-aware Online Container Migration in Edge-assisted Vehicular Networks
    Zhiqing Tang, Fangyi Mou, Jiong Lou, Weijia Jia, Yuan Wu, Wei Zhao
    IEEE/ACM Transactions on Networking (ToN), 2023, Early Access. (CCF-A) [DOI] [PDF]
  4. Joint Task Scheduling and Container Image Caching in Edge Computing
    Fangyi Mou, Zhiqing Tang*, Jiong Lou, Jianxiong Guo, Wenhua Wang, Tian Wang
    2023 19th International Conference on Mobility, Sensing and Networking (MSN). Accepted. (CCF-C) [PDF]
  5. 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), 2023, 22(10): 5829 - 5845. (CCF-A) [DOI] [PDF]
  6. Online Container Scheduling for Low-Latency IoT Services in Edge Cluster Upgrade: A Reinforcement Learning Approach
    Hanshuai Cui, Zhiqing Tang*, Jiong Lou, Weijia Jia*
    2023 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2023: 1-6. [DOI] [PDF]
  7. 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), 2023, 20(2): 961 - 973. (JCR-Q2) [DOI] [PDF]
  8. 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), 2023, 11(2): 1970 - 1984. (JCR-Q1) [DOI] [PDF]
  9. Layer Dependency-aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing
    Zhiqing Tang, Jiong Lou, Weijia Jia
    IEEE Transactions on Mobile Computing (TMC), 2023, 22(6): 3444 - 3459. (CCF-A) [DOI] [PDF]
  10. 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), 2023, 16(2): 1118 - 1131. (CCF-A) [DOI] [PDF]
  11. 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), 2022, 8(3): 795-808. (JCR-Q1) [DOI] [PDF]
  12. 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]
  13. 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]
  14. 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), 2020, 6(2): 269-282. (JCR-Q1) [DOI] [PDF]
  15. 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]
  16. 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), 2019, 12(5): 712-725. (CCF-A) [DOI] [PDF]
  17. 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]

更多信息请前往 Google Scholar 查看。

科研项目

  1. 面向数字孪生边缘网络的容器调度和资源优化研究,国家自然科学基金委青年科学基金项目,2024 – 2026,主持
  2. 边缘计算中基于存储共享的容器智能调度研究,广东省普通高校青年创新人才项目,2023 - 2025,主持
  3. 工业互联网中基于存储共享的轻量化容器调度研究,云南省软件工程重点实验室开放基金,2023 - 2024,主持
  4. 基于层共享的云边协同容器和资源调度,山东计算机学会省重点实验室联合开放基金,2023 - 2025,主持
  5. 面向边缘计算的容器调度和资源管理,北京师范大学引进人才启动经费,2023 - 2025,主持

学术经历

审稿人

  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Big Data
  • IEEE Transactions on Network and Service Management
  • IEEE Transactions on Vehicular Technology
  • IEEE Internet of Things Journal
  • IEEE INFOCOM
  • IEEE ICDCS
  • ACM Communications of the ACM
  • Computer Networks
  • Journal of Parallel and Distributed Computing
  • Future Generation Computer Systems
  • The Journal of Supercomputing
  • 计算机工程
  • Data Intelligence

TPC Member

  • IEEE Globecom 2024 NGNI
  • IEEE INFOCOM ICCN 2024

授课

  • 深度学习,北京师范大学本科生课程,2023 秋
  • 强化学习,北京师范大学研究生课程,2023 秋

助教

  • 人工智能导论,北京师范大学本科生课程,2023 秋
  • Modern Mobile Communications and Computing,上海交通大学研究生英文课程,2018

研究兴趣

  • 边缘计算
  • 物联网
  • 强化学习
  • 资源调度

团队成员

博士

  • 牟芳仪(2022 - 至今,北师港浸大,共同指导)
  • 崔涵帅(2022 - 至今,北京师范大学,共同指导)
  • 李振拯(2022 - 至今,北京师范大学,共同指导)
  • 王旭斌(2022 - 至今,北师港浸大,共同指导)
  • 姚智(2023 - 至今,北京师范大学,共同指导)
  • 王振胜(2023 - 至今,北京师范大学,共同指导)

硕士

  • 吴健飞(2023 - 至今,北京师范大学,共同指导)

科研助理

  • 周琨(2023 - 至今,北京师范大学,共同指导)

校友

  • 娄炯(博士,2020 - 2023,共同指导,上海交通大学助理研究员)

最后更新:2024-01-04