李锐|博士后

       lirui@gbu.edu.cn          

              2014-2018，华南理工大学，信息工程，学士

     2018-2023，中山大学，计算机科学技术，博士                                            

科研领域

---

      

    李锐，博士毕业于中山大学，现为大湾区大学（筹）智能计算中心博士后。主要研究方向：边缘计算、智能物联网、分布式计算、在线（凸）优化、在线学习。在IEEE/ACM Transactions on Networking、IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Mobile Computing、IEEE Internet of Things Journal、IEEE Transactions on Cloud Computing、IEEE Conference on Computer Communications发表论文多篇。

   

      个人简历：https://scholar.google.com/citations?user=1jgHpssAAAAJ&hl=zh-CN

工作经历

---

• 2023.07-2025.03，中国电信广东研究院，研究员
• 2025.04-至今，大湾区大学（筹），博士后

主要成果

---

• Rui Li, Tao Ouyang, Liekang Zeng, Guocheng Liao, Zhi Zhou, and Xu Chen, “Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing,” in IEEE/ACM Transactions on Networking, doi:10.1109/TNET.2024.3421356.

• Rui Li, Zhi Zhou, Xiaoxi Zhang, and Xu Chen, “Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management,” in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 12, pp. 4581-4596, 1 Dec. 2022, doi: 10.1109/TPDS.2022.3195205.

• Rui Li, Qian Ma, Jie Gong, Zhi Zhou, and Xu Chen, “Age of Processing: Age-Driven Status Sampling and Processing Offloading for Edge-Computing-Enabled Real-Time IoT Applications,” in IEEE Internet of ThingsJournal, vol. 8, no. 19, pp. 14471-14484, 1 Oct.1, 2021, doi: 10.1109/JIOT.2021.3064055.

• Rui Li, Zhi Zhou, Xu Chen, and Qing Ling, “Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach,” in IEEE Transactions on Cloud Computing, vol. 10, no. 1, pp.648-661, 1 Jan.-March 2022, doi: 10.1109/TCC.2019.2937928.

• Huirong Ma, Rui Li, Xiaoxi Zhang, Zhi Zhou, and Xu Chen, “Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile Edge Computing,” in IEEE Internet of Things Journal, vol. 10, no. 13, pp. 11453-11464, 1 July1, 2023， doi:10.1109/JIOT.2023.3243266.

• Tao Ouyang, Rui Li, Xu Chen, Zhi Zhou, and Xin Tang, “Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach,” IEEE INFOCOM 2019 - IEEE Conference on ComputerCommunications, 2019, pp. 1468-1476, doi: 10.1109/INFOCOM.2019.8737560.

• Tao Ouyang, Xu Chen, Zhi Zhou, Rui Li, and Xin Tang, “Adaptive User-managed Service Placement for Mobile Edge Computing via Contextual Multi-armed Bandit Learning,” in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2021.3106746.