Educational Background (in reverse chronological order)：

• 2008-2012: The Chinese University of Hong Kong, Doctoral Degree

• 2004-2008: South China University of Technology, Bachelor's Degree

Work Experience (in reverse chronological order)：

2016-Present: School of Computer Science, Sun Yat-sen University, Professor

• 2014-2016: University of Goettingen, Germany, Humboldt Research Fellow

• 2012-2014: Arizona State University, USA, Postdoctoral Research Fellow

Xu Chen is a Full Professor at the School of Computer Science and Engineering, Sun Yat-sen University, and Deputy Director of the National and Local Joint Engineering Laboratory, with selection for National and Guangdong provincial talent programs. He obtained his PhD in Information Engineering from The Chinese University of Hong Kong, and has worked as a Postdoctoral Fellow at Arizona State University in the US and an Alexander von Humboldt Research Fellow at the University of Goettingen in Germany. He has presided over a number of key and major projects including the Joint Key Program of the National Natural Science Foundation of China and the Guangdong Provincial Innovation Team Program, and has been honored with titles such as IEEE Distinguished Lecturer, the Hong Kong Young Scientist Award, and Runner-up of the IEEE Computer Society Annual Best Paper Award. He warmly welcomes research collaborations and applications from outstanding prospective students in the fields of multi-agents, agentic AI systems, on-device AI, cloud-edge-end AI computing, multimodal large models and AI4Energy.

Representative Publications (past 5-10 years, in order of impact)：

Shengyuan Ye, Bei Ouyang, Tianyi Qian, Liekang Zeng, Mu Yuan, Xiaowen Chu,Weijie Hong, and Xu Chen**, “Venus: An Efficient Edge Memory-and-Retrieval System for VLM-based Online Video Understanding,” IEEE International Conference on Computer Communications (INFOCOM*), Tokyo, Japan, 18 - 21 May 2026.

Jianxiong Liao, Quanxing Dong, Yunkai Liang, Zhi Zhou, and Xu Chen**, “Laser: Unlocking Layer-Level Scheduling for Efficient Multi-SLO LLM Serving,” ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP*), Sydney, Australia, 31 Jan. – 4 Feb. 2026.

Guihang Hong, Tao Ouyang, Kongyange Zhao, Zhi Zhou, and Xu Chen**, “CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing,” The IEEE Real-Time Systems Symposium (RTSS*), Boston, MA, USA, 2–5 Dec., 2025.

Zhi Zhou, *Xu Chen**, En Li, Liekang Zeng, Ke Luo, and Junshan Zhang, “Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing,” Proceedings of the IEEE, Vol. 107, No.9, pp. 1738 - 1762, Aug. 2019.

Books/Monographs：

Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen, and Junshan Zhang, Edge Intelligence in the Making: Optimization, Deep Learning, and Applications, 2nd Edition, Springer, 2025.