Zhiqing Tang(唐志清)

Assistant Professor, Ph.D. Advisor
Beijing Normal University, China.

Email: zhiqingtang@bnu.edu.cn

Zhiqing Tang is an Assistant Professor in the Institute of AI and Future Networks 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.

Recruiting: We are recruiting Postdocs, Ph.Ds, Masters, Research Assistants, and Undergraduates for various interesting research topics and research projects on edge computing, edge intelligence, container scheduling, reinforcement learning, and large language models. Our team is based in the Interdisciplinary Intelligence Super Computer Center of Beijing Normal University at Zhuhai and is responsible for managing 400 A100/A800 GPUsPlease contact me if you are interested.

Education

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

Employment

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

Selected Publications

News

  1. 2024-06-17: One paper is accepted by IEEE/CIC ICCC.
  2. 2024-05-16: Two papers are accepted by IEEE ICMC (Invited Paper).
  3. 2024-05-14: One paper is accepted by IEEE ICWS (CCF-B, Acceptance rate = 19.56%).
  4. 2024-04-15: One paper is accepted by IEEE Transactions on Services Computing (CCF-A).
  5. 2024-04-05: One paper is accepted by IEEE Transactions on Mobile Computing (CCF-A).

Full publication list is here. (*Corresponding author)

  1. Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach
    Hanshuai Cui, Zhiqing Tang*, Jiong Lou, Weijia Jia*, Wei Zhao
    IEEE Transactions on Services Computing (TSC), 2024, Early Access. (CCF-A) [DOI] [PDF]
  2. 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), 2024, 32(2): 1807 - 1822. (CCF-A) [DOI] [PDF]
  3. Joint Resource Overbooking and Container Scheduling in Edge Computing
    Zhiqing Tang, Fangyi Mou, Jiong Lou, Weijia Jia, Yuan Wu, Wei Zhao
    IEEE Transactions on Mobile Computing (TMC), 2024, Early Access. (CCF-A) [DOI] [PDF]
  4. 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]
  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. 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. 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]

For more information, please refer to: Full Publication List or Google Scholar.

Projects

Research Projects

  1. Research on Key Technologies of Lightweight Containers Supporting Edge Computing in Smart Cities (轻量化容器支撑智慧城市边缘计算的关键技术研究)
    Principle Invistigator, Yunnan Key Laboratory of Intelligent Systems and Computing (云南省智能系统与计算重点实验室开放基金), 2024 - 2025
  2. Research on Key Technologies of Cloud-Edge Collaboration for Smart Cities (面向智慧城市的云边协同关键技术研究)
    Principle Investigator, Guangxi Key Lab of Multi-source Information Mining & Security (广西多源信息挖掘与安全重点实验室开放基金), 2024 – 2026.
  3. Online Container Scheduling and Resource Optimization for Digital Twin Edge Networks (面向数字孪生边缘网络的容器调度和资源优化研究)
    Principle Investigator, National Natural Science Foundation of China (国家自然科学基金委青年科学基金项目), 2024 – 2026.
  4. Layer-aware Cloud-Edge Collaborative Container and Resource Scheduling (基于层共享的云边协同容器和资源调度)
    Principle Investigator, Shandong Computer Society (山东计算机学会省重点实验室联合开放基金), 2024 - 2026.
  5. Intelligent Container Scheduling based on Storage Sharing in Edge Computing (边缘计算中基于存储共享的容器智能调度研究)
    Principle Investigator, Department of Education of Guangdong Province (广东省普通高校青年创新人才项目), 2023 - 2025.
  6. Lightweight Layer-sharing Container Scheduling in the Industrial Internet (工业互联网中基于存储共享的轻量化容器调度研究)
    Principle Investigator, Yunnan Key Laboratory of Software Engineering (云南省软件工程重点实验室开放基金), 2023 - 2025.
  7. Container Scheduling and Resource Allocation in Edge Computing (面向边缘计算的容器调度和资源管理)
    Principle Investigator, Beijing Normal University (北京师范大学引进人才启动经费), 2023 - 2025.

Teaching Reform Projects

  1. The Role of Large-Scale AI Models in the Digital Transformation of Education and Case Studies on Implementation Pathways (人工智能大模型在教育数字化转型中的作用及其实现路径案例研究)
    Principle Invistigator, Guangdong Assiciation of Higher Education (广东省高等教育学会“十四五”规划2024年度高等教育研究课题), 2024 - 2026.
  2. Research on Digital Course Resource Development Based on RLHF-Enabled LLM for Education (基于RLHF的教学大模型数字化课程资源建设研究)
    Principle Invistigator, Beijing Normal University (北京师范大学教学建设与改革项目), 2024 - 2026.
  3. Exemplary Ideological and Political Education in "Information Processing Technology" Course (信息处理技术-课程思政示范课堂)
    Principle Invistigator, Beijing Normal University (北京师范大学教学建设与改革项目), 2024 - 2026.

Research Experience

Reviewer

  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Big Data
  • IEEE Transactions on Network and Service Management
  • IEEE Transactions on Vehicular Technology
  • IEEE Internet of Things Journal
  • IEEE Open Journal of the Communications Society
  • IEEE INFOCOM
  • IEEE ICDCS
  • IEEE VTC2024-Spring
  • IEEE VTC2024-Fall
  • ACM Communications of the ACM
  • Computer Networks
  • Journal of Systems Architecture
  • Journal of Parallel and Distributed Computing
  • Future Generation Computer Systems
  • The Journal of Supercomputing
  • Computer Engineering (计算机工程)
  • Internet of Things and Cyber-Physical Systems
  • Data Intelligence
  • Cluster Computing

TPC Member

  • IEEE Globecom 2024: Green Communication Systems and Networks
  • IEEE Globecom 2024: Next-Generation Networking and Internet
  • 2024 IEEE/CIC International Conference on Communications in China (ICCC)
  • International Conference on Ubiquitous Communication (Ucom 2024)
  • IEEE INFOCOM ICCN 2024

Teaching

Course Instructor

  • 10310170971, Deep Learning, Beijing Normal University, Fall 2023 ~ Fall 2024
  • POA21182601, Reinforcement Learning, Beijing Normal University, Fall 2023 ~ Fall 2024
  • AIE33520571, Artificial Intelligence and Big Data Analytics, Beijing Normal University, Fall 2024
  • GEN04221, Fundamentals of Information Processing, Beijing Normal University, Fall 2024

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.

  1. Fangyi Mou, since 2022, UIC, co-supervised
  2. Hanshuai Cui, since 2022, BNU, co-supervised
  3. Zhenzheng Li, since 2022, BNU, co-supervised
  4. Xubin Wang, since 2022, UIC, co-supervised
  5. Zhi Yao, since 2023, BNU, co-supervised
  6. Zhensheng Wang, since 2023, BNU, co-supervised
  7. Kun Zhou, since 2024, BNU, co-supervised
  8. Baoxu An, since 2024, BNU, co-supervised

Master

  1. Jianfei Wu, since 2023, BNU, co-supervised

Research Assistant

  1. Jinhao Sheng, since 2024, BNU, supervised
  2. Wentao Peng, since 2024, BNU, supervised

Undergraduate

  1. Jiajie Yin, since 2023, BNU, supervised
  2. Min Rao, since 2023, BNU, supervised
  3. Yuting Hu, since 2023, BNU, supervised
  4. Xinpu Chen, since 2023, BNU, supervised
  5. Yumin Lin, since 2023, BNU, supervised
  6. Mengjie Liu, since 2024, BNU, supervised
  7. Xuan Xie, since 2024, BNU, supervised
  8. Weikai Zhang, since 2024, BNU, supervised
  9. Luodong Li, since 2024, BNU, supervised
  10. Haolin Zhang, since 2024, BNU, supervised

Alumni

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

Last Update: 2024-07-09