Zhiqing Tang

Department of Computer Science and Engineering

Shanghai Jiao Tong University

 

 

 

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

Zhiqing Tang received the PhD degree in the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China, in 2022, and received the BS degree from the School of Communication and Information Engineering, University of Electronic Science and Technology of China, China, in 2015. His current research interests include edge computing, internet of things, and reinforcement learning.

Education

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

Employment

  • Beijing Normal University
    • 2020.10 - 2022.07, Research AssistantInstitute of AI and Future Networks
  • University of Macau
    • 2018.07 - 2020.07, Research AssistantState Key Laboratory of Internet of Things for Smart City

Publications

Published (*Corresponding author)

  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, Accepted. (JCR-Q2)
  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]

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

Research Experience

  • Reviewer
    • IEEE Transactions on Services Computing
    • IEEE Internet of Things Journal
  • Teaching Assistant, Modern Mobile Communications and Computing, 2018.03 - 2018.07

Research Interests

  • Edge computing
  • Internet of Things
  • Reinforcement learning
  • Resource scheduling

Programming Skills

  • Python
  • C / C++

Last Update: 2022-01-30 @Suzhou