Yang Lei, an associate professor, received his Ph.D. from Department of Electronic Computing, Hong Kong Polytechnic University in 2014. He was a postdoctoral fellow of Hong Kong Polytechnic University from November 2014 to February 2016 and a visiting Scholar in Damstadt University of Technology, Germany from December in 2012 to March in 2013. In March 2016, he joined the School of Software Engineering through the introduction of key teachers from South China University of Technology. His main research areas are mobile cloud computing, Internet of Things, big data processing and so on. In recent years, he has published more than 30 papers in some important international journals and conferences, such as IEEE Tran. on Mobile Computing, IEEE Tran. on Computers, and IEEE PERCOM. He is presiding over the youth project of the National Natural Science Foundation of China.
E-mail: sely@scut.edu.cn
Research Direction:Distributed Computing and Networks, Edge Computing and Edge Intelligence, Distributed Machine Learning, Cloud Computing and Big Data
Representative Papers
1.Jiajun Yao, Lei Yang(*), Hao Liu, Hui Xiong. Joint Dependency and Conflicting Task Allocation in Collaboration-aware Spatial Crowdsourcing. 41st IEEE International Conference on Data Engineering (ICDE). May 19-23, 2025, Hong Kong, China.
2.Hao Cheng , Lei Yang(*), Qingfeng Zhang , Weiping Zhu. Reliable Routing and Scheduling in Time Sensitive Networks based on Reinforcement Learning. IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2025.3546100
3.Jingke Tu, Lei Yang(*), Jiannong Cao. Distributed Machine Learning in Edge Computing: Challenges, Solutions and Future Directions. ACM Computing Surveys, 57(5): 132:1-132:37, January, 2025
4.Yuesheng Tan, Lei Yang(*), Wenhao Li, Yuda Wu. RoleML: a Role-Oriented Programming Model for Customizable Distributed Machine Learning on Edges. 25th ACM/IFIP International Middleware Conference (Middleware 2024). December 2024, Hong Kong, China
5.Zhongyun Zhang, Lei Yang (*), Jiajun Yao, Chao Ma, Jianguo Wang. Joint Optimization of Pricing, Dispatching and Repositioning in Ride-hailing with Multiple Models Interplayed Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering. 36(12):8593-8606. December 2024 (CCF-A)
