Zhao's Website

I am Zhao Ming (in Chinese 明钊), PhD student majoring in Communication Engineering at the Centre for Wireless Communications (CWC), University of Oulu. My research interests include network slicing, multi-access edge computing, anomaly detection, and AI/ML technologies and their combinations.

Education

• PhD student, Communication Engineering, University of Oulu, Dec. 2022-Present, supervisor: Prof. Tarik Taleb.
• MEng, Software Engineering, Chongqing University (CQU), Sept. 2019-July 2022, supervisor: Prof. Xiuhua Li.
• Bachelor, Statistics, Wuhan University of Technology (WHUT), Sept. 2014-June 2018.

Publications

Journal Papers

1. Zhao Ming, Hao Yu, and Tarik Taleb, ‘‘Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6G Mobile Networks’’, IEEE Transactions on Mobile Computing (IEEE TMC), vol. 23, no. 12, pp. 11937-11953, Dec. 2024.
2. Zhao Ming and Tarik Taleb, ‘‘Proactive Anomaly Detection and Resource Allocation for Service Provision in Network Slices’’, IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), June 2026, DOI: 10.1109/TCCN.2026.3709879.
3. Zhao Ming, Xiuhua Li, Chuan Sun, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung, ‘‘Sleeping Cell Detection for Resiliency Enhancements in 5G/B5G Mobile Edge-Cloud Computing Networks'', ACM Transactions on Sensor Networks (ACM TOSN), vol. 18, no. 3, pp. 1-30, Apr. 2022.
4. Junnan Li, Zhengyi Yang, Kai Chen, Zhao Ming, Xiuhua Li, Qilin Fan, Jinlong Hao, Luxi Cheng, “Dependency-Aware Task Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing Networks”, Wireless Networks, pp. 1-13, Mar. 2023.

Conference Papers

1. Zhao Ming, Kai Dong, and Tarik Taleb, “Traffic Steering Based Anomaly Prevention for User Request Provision in 6G Network Slices”, in Proc. IEEE Global Communications Conference (IEEE GLOBECOM), Dec. 2025, pp. 1089-1094.
2. Zhao Ming, Hao Yu, and Tarik Taleb, “User Request Provisioning Oriented Slice Anomaly Prediction and Resource Allocation in 6G Networks”, in Proc. IEEE International Conference on Communications (IEEE ICC), June 2024, pp. 3640-3645.
3. Zhao Ming, Xiuhua Li, Chuan Sun, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung, “Dependency-Aware Hybrid Task Offloading in Mobile Edge Computing Networks”, in Proc. IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS), Dec. 2021, pp. 225-232.
4. Zhao Ming, Chuan Sun, Xiuhua Li, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung, “Ensemble Learning Based Sleeping Cell Detection in Cloud Radio Access Networks”, in Proc. IEEE Symposium on Computers and Communications (IEEE ISCC), July 2020, pp. 1-6.
5. Zhao Ming, Qize Guo, Hao Yu, and Tarik Taleb, “Deep Reinforcement Learning-based Task Offloading over In-Network Computing and Multi-Access Edge Computing”, in Proc. IEEE International Conference on Networking and Network Applications (IEEE NaNA), Aug 2023, pp. 281-286.
6. Qize Guo, Zhao Ming, Hao Yu, Yan Chen, and Tarik Taleb, “Profit-Aware Proactive Slicing Resource Provisioning with Traffic Uncertainty in Multi-Tenant FlexE-over-WDM Networks”, in Proc. IEEE International Conference on Communications (IEEE ICC), June 2024, pp. 3059-3064.
7. Hao Yu, Zhao Ming, Chenyang Wang, and Tarik Taleb, “Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction”, in Proc. IEEE International Conference on Communications (IEEE ICC), May 2023, pp. 4905-4911.

Patents

1. Xiuhua Li, Zhao Ming, et al., “Cell detection method based on anomaly detection and kernel density estimation (KDE) in mobile networks”, ( No. ZL201911402828.9), Authorized, 2022.
2. Xiuhua Li, Zhao Ming, et al., “Sleeping cell detection method based on anomaly detection and ensemble learning”, ( No. ZL201911408236.8), Authorized, 2022.
3. Xiuhua Li, Suning Han, Zhao Ming, et al., “A content request processing system based on recommendation awareness and cooperative edge caching”, ( No. ZL202110572916.4), Authorized, 2021.
4. Luxi Cheng, Xiuhua Li, Hui Li, Zhao Ming, “An identification analysis system based on prefabricated building”, ( No. ZL202110454843.9), Authorized, 2023.
5. Tao Song, Xiuhua Li, Hui Li, Zhao Ming, et al., “A safety risk assessment system for vehicle ECU based on machine learning algorithm”, ( No.ZL202110156103.7), Authorized, 2021.
6. Xiuhua Li, Fanfan Wu, Hui Li, Zhenghui Xu, Zhao Ming, et al., “A cost efficiency optimization system and method for task unloading in mobile edge computing system”, ( No.ZL202011595152.2), Authorized, 2021.
7. Luxi Cheng, Xiuhua Li, Hui Li, Zhao Ming, et al., “A networked collaborative manufacturing system for automotive industry supply chain”, ( No. 202110630511.1), 2021.

Services

Technical Programme Committee (TPC) Membership

1. IEEE Global Communications Conference (GlobeCom), Cape Town, South Africa, 2024.
2. EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (Qshine), Shenzhen, 2023.

Reviewer Experience

1. Journal: IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Consumer Electronics, IEEE Wireless Communication Magazine, IEEE Transactions on Cognitive Communications and Networking, IEEE Network, Computer Networks, Elsevier Computer Communications, IEEE Internet of Things Journal, Pattern Recognition, Journal of Cloud Computing, JSME, etc.
2. Conference: IEEE GlobeCom, IEEE INFOCOM Workshop, IFIP Networking, EAI QSHINE, IEEE HPCC, etc.

Honors & Awards

1. Nokia Scholarship 2025, Finland (9.89% acceptance rate).
2. A-level Scholarship for Postgraduates of Chongqing University, in 2019, 2020, and 2021, respectively.

Language & Computer Skills

1. Language Skills: English (IELTS 7 overall)
2. Computer Skills: Python, Linux, Docker, Git, SQL, MATLAB

Contact

zhao.ming AT oulu.fi, mingzhao2019 AT outlook.com