唐志清，男，现任北京师范大学珠海校区人工智能与未来网络研究院讲师。在上海交通大学计算机系获得工学博士学位。研究兴趣包括边缘计算、物联网、资源调度、容器调度等相关领域。已在高水平国际会议和期刊上发表论文 10 余篇，其中以第一作者/通信作者发表 CCF A 类论文 5 篇。 

个人主页：https://www.zhiqingtang.com

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)

2. 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

3. 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)

4. 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.

5. 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)

6. 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.

7. 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)

8. 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.

9. 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)

10. 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.

11. 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)

12. 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.

13. Container Scheduling and Resource Allocation in Edge Computing (面向边缘计算的容器调度和资源管理)

14. 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)

2. 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.

3. 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)

4. Principle Invistigator, Beijing Normal University (北京师范大学教学建设与改革项目), 2024 - 2026.

5. Exemplary Ideological and Political Education in "Information Processing Technology" Course (信息处理技术-课程思政示范课堂)

6. Principle Invistigator, Beijing Normal University (北京师范大学教学建设与改革项目), 2024 - 2026.

Journal Publications  (*Corresponding author):

1. QoS-aware Energy-efficient Multi-UAV Offloading Ratio and Trajectory Control Algorithm in Mobile Edge Computing
Jiajie Yin, Zhiqing Tang*, Jiong Lou, Jianxiong Guo, Hui Cai, Xiaoming Wu, Tian Wang, Weijia Jia
IEEE Internet of Things Journal (IoTJ), 2024, Early Access. (JCR-Q1) [DOI] [PDF]

2. Online Container Scheduling with Fast Function Startup and Low Memory Cost in Edge Computing
Zhenzheng Li, Jiong Lou, Jianfei Wu, Jianxiong Guo, Zhiqing Tang*, Pingshen, Weijia Jia, Wei Zhao
IEEE Transactions on Computers (TC), 2024, Early Access. (CCF-A) [DOI] [PDF]

3. 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]

4. 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]

5. 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]

6. 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]

7. 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]

8. 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]

9. 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]

10. 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]

11. 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]

12. 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]

13. 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]

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. 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]

Conference Publications (*Corresponding author):

1. Dynamic Offloading Control for Waste Sorting Based on Deep Q-Network
Jing Wang, Xiaoyang Wang, Jianxiong Guo, Zhiqing Tang, Xingjian Ding, Tian Wang
2024 24th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP). Accepted. (CCF-C)

2. Online Worker Scheduling for Maximizing Long-Term Utility in Spatiotemporal Crowdsensing
Jiajun Wang, Xingjian Ding, Jianxiong Guo, Zhiqing Tang, Deying Li
2024 IEEE/CIC International Conference on Communications in China (ICCC). Accepted.

3. Low-Latency Layer-Aware Proactive and Passive Container Migration in Meta Computing
Mengjie Liu, Yihua Li, Fangyi Mou, Zhiqing Tang*, Jiong Lou, Jianxiong Guo, Weijia Jia
2024 The 1st IEEE International Conference on Meta Computing (ICMC). Accepted. (Invited Paper) [PDF]

4. Policy-Based Reinforcement Learning for Online Container Scheduling in Meta Computing
Jianqiu Wu, Jianxiong Guo, Zhiqing Tang, Tianhui Meng, Weijia Jia
2024 The 1st IEEE International Conference on Meta Computing (ICMC). Accepted.

5. VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework
Zhi Yao, Zhiqing Tang*, Jiong Lou, Ping Shen, Weijia Jia
2024 IEEE International Conference on Web Services (ICWS). Accepted (Acceptance rate 80/409=19.56%). (CCF-B) [PDF]

6. 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]

7. 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) [DOI][PDF]

8. 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]

9. 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) (Invited Paper) [DOI] [PDF]

10. 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) (Invited Paper) [DOI] [PDF]

11. 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]

Reviewer

1. IEEE Transactions on Mobile Computing

2. IEEE Transactions on Services Computing

3. IEEE Transactions on Parallel and Distributed Systems

4. IEEE Transactions on Wireless Communications

5. IEEE Transactions on Big Data

6. IEEE Transactions on Network and Service Management

7. IEEE Transactions on Vehicular Technology

8. IEEE Transactions on Network Science and Engineering

9. IEEE Internet of Things Journal

10. IEEE Open Journal of the Communications Society

11. IEEE INFOCOM

12. IEEE ICDCS

13. IEEE VTC2024-Spring

14. IEEE VTC2024-Fall

15. ACM Communications of the ACM

16. Computer Networks

17. Journal of Systems Architecture

18. Journal of Parallel and Distributed Computing

19. Future Generation Computer Systems

20. The Journal of Supercomputing

21. Peer-to-Peer Networking and Applications

22. Computer Engineering (计算机工程)

23. China Communications (中国通讯)

24. Internet of Things and Cyber-Physical Systems

25. Data Intelligence

26. Cluster Computing

27. Computing

TPC Member

1. IEEE Globecom 2024: Green Communication Systems and Networks

2. IEEE Globecom 2024: Next-Generation Networking and Internet

3. 2024 IEEE/CIC International Conference on Communications in China (ICCC)

4. International Conference on Ubiquitous Communication (Ucom 2024)

5. IEEE INFOCOM ICCN 2024