About me

Welcome to my homepage!

I am an Associate Professor at the Cyberspace Institute of Advanced Technology (Fang Class), Guangzhou University. I received my Ph.D. from the School of Computer Science at University College Cork under the supervision of Prof. Ken Brown in 2021 (Cork, Ireland). Before joining in University College Cork, I was a Research Engineer in Shenzhen Institute of Advanced Technology, Chinese Academic of Science in Prof. Yong Zhang’s group. I was a Post-Doctoral Fellow in Cyberspace Institute of Advanced Technology at Guangzhou University, working with Prof. Zhihong Tian from 2021 to 2023.

Research Interests

  1. Inference Learning and Intelligent Decision-making in Internet of Things.
  2. Distributed Learning and Federated Learning with Multi-modal Data.
  3. Privacy and Security Protection in Distributed Learning.

Publications

  1. Cai, Xiao and Sun, Yanbin and Shi, Kaibo and Xie, Xiangpeng and Soh, Yeng Chai and Qiao, Cheng and Tian, Zhihong. “Enhancing Networked Control System Resilience to TCP/IP Protocol DoS Attacks: Performance Analysis and Intelligent Controller Design”, IEEE Transactions on Automation Science and Engineering (early access), 2024.
  2. Zhao, Bowen and Guo, Weibin and Tian, Bo and Qiao, Cheng and Pei, Qingqi and Liu, Ximeng. “RATE: Privacy-Preserving Task Assignment with Bi-objective Optimization for Mobile Crowdsensing”, IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 13851-13865, 2024.
  3. Xiao Cai; Kaibo Shi; Yanbin Sun; Jinde Cao; Oh-Min Kwon; Cheng Qiao; Zhihong Tian. “Design of Intelligent Control Under Machine Learning Supervision and Signal Compression Mechanism Design for NCSs Under DoS Attacks”, IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 10, pp. 15116-15121, 2024.
  4. Huang, Rui and Wen, Wushao and Zhou, Zhi and Dong, Chongwu and Cheng Qiao and Tian, ZhiHong and Chen, Xu. “Dynamic Task Offloading for multi-UAVs in Vehicular Edge Computing With Delay Guarantees: A Consensus ADMM-based Optimization”, IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 13696-13712, 2024.
  5. Cheng Qiao, Yanqing Zeng, Hui Lu, Yuan Liu and Zhihong Tian. “An Efficient Incentive Mechanism for Federated Learning in Vehicular Networks”, IEEE Network, vol. 38, no. 5, pp. 189-195, 2024.
  6. Cheng Qiao, Mianjie Li, Yuan Liu and Zhihong Tian, “Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey” in IEEE Communications Surveys & Tutorials, vol. 27, no. 1, pp. 509-545, 2024.
  7. Xiao Cai, Kaibo Shi, Yanbin Sun, Jinde Cao, Shiping Wen, Cheng Qiao, Zhihong Tian. “Stability Analysis of Networked Control Systems under DoS Attacks and Security Controller Design with Mini-batch Machine Learning Supervision”, IEEE Transactions on Information Forensics and Security, vol 19, pp.3857-3865, 2024.
  8. Cheng Qiao, Kenneth N Brown, Fan Zhang, and Zhihong Tian. “Adaptive Asynchronous Clustering Algorithm for Wireless Mesh Networks”, IEEE Transactions on Knowledge & Data Engineering, vol. 35, no. 3, pp. 2610-2627, March 2023.
  9. Cheng Qiao, Jing Qiu, Zhiyuan Tan, Geyong Min, Albert Y.Zomaya and Zhihong Tian. “Evaluation Mechanism for Decentralized Collaborative Pattern Learning in Heterogeneous Vehicular Networks”, IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 11, pp. 13123-13132, Nov. 2023.
  10. Cheng Qiao, Kenneth N. Brown, Yong Zhang, and Zhihong Tian “CWEmd: A light-weight Similarity Measurement for Resource Constraint Vehicular Networks”, IEEE Internet of Things Journal, 10 (22), 19655 - 19665, 2023.
  11. Chen, Zhiwen and Hao, Qiong and Huang, Hong and Qiao, Cheng. “Delay-Tolerant Distributed Algorithms for Decision-Making in Vehicular Networks”, Asia-Pacific Journal of Operational Research, 40(04), 2340004, 2023.

Awarded Fundings

  1. 2023–25. “Research on Reliability Decision-Making in Decentralized Heterogeneous IoT”. National Natural Science Foundation of China, Youth Project (62202114). PI.
  2. 2023–25. “Research on Active Discovery and Suppression Mechanisms for Network Security Risks Based on Intelligent Game Theory”, Sub-project of the National Key R\&D Program, PI.
  3. 2022–23. “Research on Distributed Clustering Methods in Heterogeneous IoT”, China Postdoctoral Science Foundation General Program (2022M710861), PI.
  4. 2022–23. “Research on Incentive-Driven Intelligent Decision-Making in Multi-Regime Networks”, China Postdoctoral Science Foundation Special Grant (2023T160141), PI.
  5. 2023–26. “Research on Key Technologies of Fuzz Testing for Large-Scale Software Systems”, National Natural Science Foundation of China, General Program (62272121), Core member.
  6. 2023–26. “Research on Key Technologies of High-Performance Blockchain Sharding Consensus”, National Natural Science Foundation of China, General Program (62272120), Core member.

Hobbies

  1. Running and traveling give me good relaxation apart from doing research.
  2. Playing dota2 is also a good option to kill time. Wraith King and Juggernaut are my favorite melee carries and I also prefer to play supports (i.e., Lion and Witch Doctor). For sure, I can support if you wanna carry the game.

Contact

Email: mcheng.qiao[at]gmail.com

Looking for highly self-motivated students to work with me at Guangzhou University. I would kindly suggest you read the Advice for Prospective Research Students by Prof. David Evans before contacting.