李嘉伦

研究方向：云数据中心智能运维、多数据中心资源管理、机器学习与数据挖掘

办公邮箱：jialun.li@gpnu.edu.cn

个人简介：

李嘉伦，博士，讲师。长期从事云计算系统的智能运维与资源管理方面的相关研究。以第一作者身份和共同作者身份在IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Cloud Computing和Future Generation Computer Systems等国际期刊和会议上发表学术论文十余篇，参与包括国家重点研发计划子课题、国家自然科学基金重点项目、广东省自然科学基金项目等多项科研项目。

教育背景：

2019.09-2024.06：中山大学，计算机科学与技术专业，工学博士。

2015.09-2019.06：中南大学，物联网工程专业，工学学士。

工作经历：

2024.07至今：广东技术师范大学计算机科学学院，担任专任教师，从事教学科研工作。

代表性科研项目：

1. 广东省自然科学基金面上项目，2024A1515010378，边缘场景下基于拆分学习的模型微调训练框架的研究，2024/1至今，20万，主要参与人。

代表性科研成果：

1. DFECTS: A Deep Fuzzy Ensemble Clusterer for Time Series，2023年，International Conference on Algorithms and Architectures forParallel Processing（ICA3PP），Best Paper Award.

代表性论文:

1.  Jialun Li, Danyang Xiao, Diying Yang, Xuan Mo, Weigang Wu. Integrated and Fungible Scheduling of Deep Learning Workloads Using Multi-Agent Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 36(3): 391-406 (2025). (CCF-A类)

2.  Jialun Li, Jieqian Yao, Danyang Xiao, Diying Yang, Weigang Wu. EvoGWP: Predicting Long-Term Changes in Cloud Workloads Using Deep Graph-Evolution Learning. IEEE Trans. Parallel Distributed Syst. 35(3): 499-516 (2024). (CCF-A类)

3. Jialun Li, Diying Yang, Hairui Guo, Xuan Mo, Weigang Wu. Forecasting resource usage pattern changes in clouds via contrast graph-evolution learning. Future Gener. Comput. Syst. 154: 373-383 (2024).

4. Danyang Xiao, Diying Yang, Jialun Li, Xu Chen, Weigang Wu. Privacy Leakage from Logits Attack and its Defense in Federated Distillation. DSN 2024: 169-182. (CCF-B类)

5. Jieqian Yao, Jialun Li, Xuan Mo, Weigang Wu. Modeling Memory Bandwidth Interference in Cloud Data Centers via Deep Learning. ICCCS 2024: 441-447.

6. Yang Xu, Jiazhao Yu, Hairui Guo, Jialun Li. Weigang Wu. A Distributed State Management Approach for FaaS Platforms. ICCCS 2024: 1306-1312.

7. Jialun Li, Danyang Xiao, Jieqian Yao, Yujie Long, Weigang Wu. Learning Scheduling Policies for Co-Located Workloads in Cloud Datacenters. IEEE Trans. Cloud Comput. 11(4): 3725-3736 (2023).

8. Dechong Wu, Jialun Li, Xuan Mo, Weigang Wu. DFECTS: A Deep Fuzzy Ensemble Clusterer for Time Series. ICA3PP (1) 2023: 61-80. (Best Paper Award)

9. Xi Xiu, Jialun Li, Yujie Long, Weigang Wu. MRLCC: an adaptive cloud task scheduling method based on meta reinforcement learning. J. Cloud Comput. 12(1): 75 (2023).

10. Hairui Guo, Jialun Li, Yang Xu, Yujie Long, Jieying Zhou, Weigang Wu. FaaSCom: Mitigate Cold Start Problem in FaaS via Function Community. ICPADS 2023: 1023-1030.

11. Danyang Xiao, Congcong Zhan, Jialun Li, Weigang Wu. Bi-level Sampling: Improved Clients Selection in Heterogeneous Settings for Federated Learning. IPCCC 2023: 430-435.

12. Wenkang Qi, Jieqian Yao, Jialun Li, Weigang Wu. Performer: A Resource Demand Forecasting Method for Data Centers. GPC 2022: 204-214.

13. Weiguan Li, Jialun Li, Yujie Long, Weigang Wu. Interval Matching Algorithm for Task Scheduling with Time Varying Resource Constraints. MSN 2022: 942-947.

14. Weiguan Li, Jialun Li, Weigang Wu. A Dynamic Scheduling Algorithm with Time Varying Resource Constraints in Colocation Data Centers. ICICS 2022: 115-120.

15. Kehua Guo, Yan He, Xiaoyan Kui, Paramjit S. Sehdev, Tao Chi, Ruifang Zhang, Jialun Li. LLTO: Towards efficient lesion localization based on template occlusion strategy in intelligent diagnosis. Pattern Recognit. Lett. 116: 225-232 (2018).

16. Yan He, Kehua Guo, Ruifang Zhang, Jialun Li, Wei Liu. Towards Efficient Lesion Localization Based on Template Occlusion Strategy in Intelligent Diagnosis. IScIDE 2018: 44-56.

主要授权发明专利：

1. 一种面向混合部署数据中心场景的离线作业任务调度算法, 专利号： ZL 202111089490.3, 发明专利，已授权, 授权日期：2023年09月19日.

主要学术兼职：

1. IEEE Transactions on Cloud Computing 期刊审稿人

2. IEEE Transactions on Network and Service Management 期刊审稿人

3. Journal of Cloud Computing 期刊审稿人