Zhiqing Tang（唐志清）

Advanced Institute of Natural Sciences
Beijing Normal University

Email: zhiqingtang@bnu.edu.cn

Zhiqing Tang is an Assistant Professor in the Advanced Institute of Natural Sciences at Beijing Normal University. He received the PhD degree in the Department of Computer Science and Engineering at Shanghai Jiao Tong University in 2022, supervised by Prof. Weijia Jia. He was a Postdoc in the State Key Laboratory of Internet of Things for Smart City at University of Macau, working with Prof. Yuan Wu.

His current research interests include edge computing, internet of things, edge intelligence, container scheduling, and resource scheduling.

Education

  • Shanghai Jiao Tong University (SJTU) 
    • Ph.D., Department of Computer Science and Engineering, 2015.09 - 2022.03
  • University of Electronic Science and Technology of China (UESTC) 
    • B.S., School of Information and Communication Engineering, 2011.09 - 2015.06

Employment

  • Beijing Normal University (BNU)
    • Assistant Professor, Advanced Institute of Natural Sciences, 2022.12 - Present
  • University of Macau (UM)
    • Postdoctoral Fellow, State Key Laboratory of Internet of Things for Smart City, 2022.07 - 2022.12
  • Beijing Normal University (BNU)
    • Research Assistant, Institute of AI and Future Networks, 2020.10 - 2022.07
  • University of Macau (UM)
    • Research Assistant, State Key Laboratory of Internet of Things for Smart City, 2018.07 - 2020.07

Publications

Published (*Corresponding author)

  1. 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]
  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), 2023, 22(10): 5829 - 5845. (CCF-A) [DOI][PDF]
  3. 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]
  4. 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]
  5. 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]
  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), 2023, 22(6): 3444 - 3459. (CCF-A) [DOI] [PDF]
  7. 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]
  8. 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), 2023, Early Access. (CCF-A) [DOI][PDF]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]

For more information, please go to my Google Scholar page.

Research Experience

Reviewer

  • IEEE Transactions on Services Computing
  • IEEE Internet of Things Journal
  • IEEE Transactions on Network and Service Management
  • IEEE INFOCOM
  • IEEE ICDCS
  • ACM Communications of the ACM
  • Computer Networks
  • Journal of Parallel and Distributed Computing
  • Computer Engineering (计算机工程)
  • Data Intelligence

Teaching

  • Deep Learning, Beijing Normal University, Fall 2023
  • Reinforcement Learning, Beijing Normal University, Fall 2023

Teaching Assistant

  • Introduction to Artificial Intelligence, Beijing Normal University, Fall 2023
  • Modern Mobile Communications and Computing, Shanghai Jiao Tong University, 2018

Research Interests

  • Edge computing
  • Internet of Things
  • Container scheduling
  • Resource scheduling

Group Members

Ph.D.

  • Fangyi Mou, since 2022, UIC, co-supervised
  • Hanshuai Cui, since 2022, BNU, co-supervised
  • Zhenzheng Li, since 2022, BNU, co-supervised
  • Xubin Wang, since 2022, UIC, co-supervised
  • Zhi Yao, since 2023, BNU, co-supervised
  • Zhensheng Wang, since 2023, BNU, co-supervised

Master

  • Jianfei Wu, since 2023, BNU, co-supervised

Alumni

  • Jiong Lou, Ph.D., 2020 - 2023, co-supervised, Research Assistant Professor, Shanghai Jiao Tong University

Last Update: 2023-08-24