Professional Title / Position：Professor
Research Direction：Edge Intelligence, Federated Learning, Mobile Crowdsensing, Artificial Intelligence
Team：Parallel acceleration and performance optimization of heterogeneous computing power
Email：csxlzhang@scut.edu.cn
Biography：
Xinglin Zhang, a member of IEEE, ACM and CCF, graduated from the Hong Kong University of Science and Technology with a Ph.D. He has published over 40 papers in CCF A and the first-tier journals of the Chinese Academy of Sciences. He has been included in the " World's Top 2% Scientists" released by Stanford University for five consecutive years. He has successively presided over or participated in multiple projects such as the National Natural Science Foundation of China's general and key projects, and the key research and development plans of the Ministry of Science and Technology.
I am looking for highly self-motivated students.
Education：
2010, Sun Yat-sen University, Bachelor's Degree
2014, The Hong Kong University of Science and Technology, Doctoral Degree
Work Experience：
2015-2016 Postdoctoral Fellow, School of Computer Science and Engineering, South China University of Technology
2017-2021 Associate Professor, School of Computer Science and Engineering, South China University of Technology
2022-present Professor, School of Computer Science and Engineering, South China University of Technology
Projects：
1. Research on Key Technologies of Intelligent Edge Network Services for Federated Learning, NSFC General Project, In progress, Principal Investigator
2. Research on Spatiotemporal Sensitive Cooperative Decision-making and Sustainable Computing in Swarm Intelligence, National Key Research and Development Program, Completed, Participant
3. Privacy Protection Methods for Crowd Sensing, National Key Basic Research Project, Completed, Principal Investigator
4. Research on Task Allocation Algorithms for Multi-objective Crowdsensing, NSFC General Project, Completed, Principal Investigator
5. Research on Online Incentive Mechanism for Dynamic Users in Crowd Sensing, NSFC Youth Program, Completed, Principal Investigator
Publications：
Haoyu Fu, Fengsen Tian, Guoqiang Deng, Lingyu Liang, Xinglin Zhang*, Reads: A Personalized Federated Learning Framework With Fine-Grained Layer Aggregation and Decentralized Clustering, IEEE Transactions on Mobile Computing, 2025
Fengsen Tian, Mingzi Wang, Yu Zhang, Guoqiang Deng, Lingyu Liang, Xinglin Zhang*, A Pricing Game for Federated Learning Supporting Lightweight Local Model Training, IEEE Transactions on Mobile Computing, 2025
Qihang Zhou, Xinglin Zhang*, Zheng Yang, Unknown Worker Recruitment With Long-Term Incentive in Mobile Crowdsensing, IEEE Transactions on Mobile Computing, 2025
Fengsen Tian, Xinglin Zhang*, Xiumin Wang, Yue-Jiao Gong, Two-Layer Optimization With Utility Game and Resource Control for Federated Learning in Edge Networks, IEEE Transactions on Mobile Computing, 2024
Jinyi Zhang, Xinglin Zhang*, Multi-task allocation in mobile crowd sensing with mobility prediction, IEEE Transactions on Mobile Computing, 2023
(https://scholar.google.com/citations?user=ecFvovoAAAAJ&hl=zh-CN)
Awards：
2018 Recipient, Guangdong Distinguished Young Scholars
2018 Recipient, Guangdong Province Special Support Program for Leading Young Talents in Science and Technology Innovation
2018 Recipient, Guangzhou Pearl River Rising Star in Science & Technology
2021 First-Class Prize for Outstanding Paper, Computer Academy of Guangdong
2023 First-Class Prize for Outstanding Paper, Computer Academy of Guangdong
