Changfu Xu, Ph.D., from Hong Kong Baptist University, is a visiting scholar at the Hong Kong Polytechnic University, mainly engaged in research in edge computing, reinforcement learning, and generative artificial intelligence. He has published more than 10 papers in international high-level journals and conferences such as TMC, TMech, ICDCS, IWQoS, and other international high-level journals and conferences (9 papers have been published as the first/total one/student first/corresponding author), and won the second runner-up of the IWQoS 2024 Best Paper Award, the third prize of the 4th Guangdong-Hong Kong-Macao Outstanding Graduate Paper Competition, and the Outstanding Achievement Award of the 6th Interdisciplinary Frontier Forum.

[1] Xu, Changfu, Guo, Jianxiong, Li, Yupeng, Zou, Haodong, Jia, Weijia, Wang, Tian*. Dynamic Parallel Multi-server Selection and Allocation in Collaborative Edge Computing. IEEE Transactions on Mobile Computing, 2024. (CCF A) 

[2] Xu, Changfu, Guo, Jianxiong, Zeng, Jiandian, Meng, Shengguang, Chu, Xiaowen, Cao, Jiannong, Wang, Tian*.  Enhancing AI-Generated Content Efficiency Through Adaptive Multi-Edge Collaboration.  The 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS 2024),  2024. (CCF B) 

[3] Changfu Xu, Jianxiong Guo, Jiandian Zeng, Yupeng Li, Jiannong Cao, and Tian Wang*. Incorporating Startup Delay into Collaborative Edge Computing for Superior Task Efficiency. The IEEE/ACM International Symposium on Quality of Service (IWQoS 2024), 2024. (CCF B, Best Paper Runner-up Award )