Name：Xiumin Wang
Professional Title / Position：Professor
Research Direction：Edge intelligent computing, Federated learning, Incentive mechanism design
Team：Computer Architecture
Email：xmwang@scut.edu.cn
Biography：
I received my PhD degree in Computer Science and Engineering at University of Science and Technology in 2011, and a joint PhD degree in Computer Science and Engineering at City University of Hongkong in 2011. I worked as a Postdoc at MIT-Singapore design center, Singapore University of Technology and Design in 2011. After that, I worked in the School of Computer and Information at Hefei University and Technology. I have joined South China University of Technology since April 2017.
I am seeking motivated graduate students who are passionate about research in areas such as federated learning, edge intelligence, distributed systems and so on. Applicants should have a solid foundation in computer science, including proficiency in programming, and basic mathematical skills.
Course：
Mathematical Modeling and Experiments, Embedded System, Database
Projects：
1. Guangdong Provincial Natural Science Foundation – Outstanding Youth Project, “Research on Key Technologies of Resource Allocation in Edge Intelligence Computing,” January 2022 – December 2025, RMB 1,000,000, PI.
2. National Natural Science Foundation of China, “Research on Key Technologies for Efficient and Trustworthy Collaborative Computing in Mobile Edge Computing Environments,” January 2019 – December 2022, RMB 712,000, PI.
3. National Natural Science Foundation of China, “Research on Delay-Optimized Mechanisms for Wireless Cooperative Data Exchange Based on Network Coding,” January 2014 – December 2016, RMB 270,000, PI.
4. Guangdong Provincial Natural Science Foundation – General Program, “Research on Incentive Mechanisms for Service Nodes in Mobile Edge Computing,” October 2019 – September 2022, RMB 100,000, PI.
5. Guangzhou Fundamental Research Project, “Research on Task Allocation Algorithms in Mobile Edge Computing,” 202002030426, April 2020 – March 2022, RMB 200,000, PI.
Publications：
1. Xin Zhao, Xiumin Wang*, Weiwei Lin, W. W. Y. Ng and Kai Liu, Fairness-Aware Client Selection and Payment Determination for Differentially Private Federated Learning, in IEEE Transactions on Information Forensics and Security, vol. 20, pp. 9818-9831, 2025.
2. Wanwei Xu, Xiumin Wang*, W. W. Y. Ng and Kai Liu, Incentive Mechanism for Heterogeneous Federated Learning with Budget Constraint, in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2025.3592252, 2025.
3. Weijian Pan, Xiumin Wang*, Pan Zhou, and Weiwei Lin*, “Time-Sensitive Federated Learning with Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach,” in IEEE Transactions on Emerging Topics in Computational Intelligence, vol.8, no. 2, pp. 1402-1415, Apr. 2024.
4. Manying Zeng, Xiumin Wang*, Weijian Pan and Pan Zhou, Heterogeneous Training Intensity for Federated Learning: A Deep Reinforcement Learning Approach, in IEEE Transactions on Network Science and Engineering, vol. 10, no. 2, pp. 990-1002, Mar. 2023.
5. Ying Cheng, Xiumin Wang*, Pan Zhou, Xinglin Zhang and Weiwei Wu, “Freshness-Aware Incentive Mechanism for Mobile Crowdsensing with Budget Constraint,” in IEEE Transactions on Services Computing, vol. 16, no. 6, pp. 4248-4260, Nov. 2023.
6. Shuai Chen, Xiumin Wang*, Pan Zhou, Weiwei Wu, Weiwei Lin* and Z. Wang, Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach, in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 5, pp. 1113-1124, Oct. 2022.
7. Xiumin Wang, Yang Sui, Jianping Wang*, Chau Yuen and Weiwei Wu, “A distributed truthful auction mechanism for task allocation in mobile cloud computing,” in IEEE Transactions on Services Computing, vol. 14, no. 3, pp. 628-638, May 2021.
8. Chenxin Dai, Xiumin Wang*, Kai Liu, Deyu Qi, Weiwei Lin, and Pan Zhou, Stable Task Assignment for Mobile Crowdsensing with Budget Constraint, in IEEE Transactions on Mobile Computing, vol. 20, no. 12, pp. 3439-3452, Dec. 2021.
Awards：
2021 Second Prize of Guangdong Provincial Science and Technology Progress Award, “Cloud Computing Scheduling Optimization Technology.”
