Ø 个人简介
李杰，男，工学博士，华南师范大学副研究员。于暨南大学获得计算机应用技术专业博士学位。曾作为骨干成员参与国家自然科学基金面上项目基金、广东省国际合作项目、广东省市联合基金项目等。在计算机体系结构、进化计算等领域的相关重要国际期刊与会议发表论文二十余篇，包括CCF推荐的transactions类期刊与会议。
Biography：My name is Jie Li. I received the Ph.D. degree from Jinan University in 2023. My research interests include cloud computing, resource schedule, data placement, and evolutionary computation. I have published serveral papers in IEEE TC, IEEE TCC, IEEE TSUSC, IEEE TSC, IEEE TNSM, HPCC, ACM PACT, etc. In July 2023, I joined the School of Artificial Intelligence, South China Normal University, China.
Ø 研究领域
云计算，资源调度，数据放置，进化计算，计算智能等
Ø 代表性项目
[1]国家自然科学基金面上项目《基于热循环的大规模分布式存储系统数据放置策略研究（62072214）》2020（主要参与，在研）
[2]广东省国际合作项目《面向数据中心的气流组织感知型数据布局方法研究（2020A0505100040）》2020年（主要参与）
[3]广西研究生教育创新计划项目编号（YCSW2018122）2018年（主持，结题）。
[4] 华南师范大学青年教师科研培育基金项目《面向热量循环型云数据中心温度预测及资源管理方法研究（23KJ16）》(主持，在研)
Ø 学术期刊论文
[1]Jie Li, Yuhui Deng, Yi Zhou., Zhen Zhang, Gengyong Min, and Xiao Qin. Towards Thermal-Aware Workload Distribution in Cloud Data Centers Based on Failure Models, IEEE Transactions on Computers (TC), vol. 72, no. 2, pp. 586-599, 2023. (CCF A类, SCI, JCR Q2, IF 3.7)
[2] Jie Li，Yuhui Deng，Rui Wang，Yi Zhou，Hao Feng，Geyong Min，andXiao Qin，“BTVMP: A Burst-aware and Thermal-efficient Virtual MachinePlacement Approach for Cloud Data Centers，”IEEE Transactions on ServicesComputing (TSC)，DOI: 10.1109/TSC.2023.3338267，2023.（IEEE 汇刊、CCF A、SCI 2 区、JCR Q1，IF 8.1）
[3]Jie Li, Yuhui Deng, Yi Zhou, Zhaorui Wu, Shujie Pang, and Geyong Min, TADRP: Towards Thermal-Aware Data Replica Placement in Data-intensive Data Centers, IEEE Transactions on Network Service Management (TNSM) DOI: 10.1109/TNSM.2023.3263864, 2023. (CCF , SCI , JCR Q2, IF 5.3)
[4]Jie Li,Yuhui Deng，Zhifeng Fan，Zijie Zhong，and Geyong Min，“TowardsEnergy-Efficient and Thermal-Aware Data Placement for Storage Clusters，”IEEE Transactions on Sustainable Computing （TSUSC），pp. 1-17，2024，doi: 10.1109/TSUSC.2024.3351684. (IEEE 汇刊、CCF、SCI、JCR Q1，IF 3.9)
[5]Datong Zhang, Yuhui Deng, Yi Zhou, Jie Li, Weiheng Zhu, and Geyong Min, MGRM: A Multi-segment Greedy Rewriting Method to Alleviate Data Fragmentation in Deduplication-based Cloud Backup Systems, IEEE Transactions on Cloud Computing (TCC) 2022, DOI: 10.1109/TCC.2022.3214816. (CCF, SCI, JCR Q1 IF 6.5)
[6]Zhaorui Wu,Yuhui Deng , Yi Zhou, Jie Li,Shujie Pang Xiao Qin. FaaSBatch: Boosting serverless efficiency with in-container parallelism and resource multiplexing[J]. IEEE Transactions on Computers (TC), 2024. (CCF A类, SCI, JCR Q2, IF 3.7)
[7] Shuijie Pang, Yuhui Deng, Genxiong Zhang, Yi Zhou, Xiao Qin, Zhaorui Wu, Jie Li. PcGC: A Parity-Check Garbage Collection for Boosting 3-D NAND Flash Performance, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol.42, no. 12, pp.4364-4377, 2023.(CCF A 类，SCI 2区，JCR Q2, IF 2.7)
[8]Luna Fan, Jie Li*, Jingxin Liu, an enhanced spotted hyena optimization algorithm and its application to engineering design scenario. International Journal on Artificial Intelligence Tools (IJAIT), vol. 32, no.06, pp.1-28, 2023. (SCI，JCR Q4, IF 1.2)
[9]Qifang Luo, Jie Li, Yongquan Zhou, Spotted hyena optimizer with lateral inhibition for image matching. Multimedia Tools and Applications (MTA), vol. 78, pp. 34277–34296, 2019. (CCF, SCI, JCR Q2, IF 3.6)
[10]Qifang Luo, Jie Li, Ling Liao, Yongquan Zhou, Using Spotted Hyena Optimizer for Training Feedforward Neural Networks. Cognitive Systems Research (CSR)，2020，vol. 65, pp. 1-16. (SCI, JCR Q1, IF 3.9)
[11]Guo Zhou, Jie Li, Zhonghua Tang, Qifang Luo, Yongquan Zhou. An improved spotted hyena optimizer for PID parameters in an AVR system. Mathmatical Biosciences and Engineering, vol.17, no.4, pp.3757-3783, 2020.
[12]Hao Feng, Yuhui Deng, and Jie Li, A global-energy-aware virtual machine placement strategy for cloud data centers, Journal of Systems Architecture (JSA), 2021, 116, pp. 1-15 (CCF B, SCI, JCR Q1, IF 4.5).
Ø 学术会议论文
[1]Jie Li, Yuhui Deng, Zhaorui Wu, Shujie Pang, A Thermal-Aware Data Replica Placement Strategy in Data-intensive Data Centers, The 31st International Conference on Parallel Architectures and Compilation Techniques (PACT 2022), DOI:10.1145/3559009.3569679, (CCF B类会议)
[2]Jie Li, Yuhui Deng, Zhifeng Fan, and Zijie Zhong, Energy-Efficient Thermal-Aware Data Placement Strategy for Storage Clusters, In proceeding of 24th International Conference on High-Performance Computing and Communications (IEEE HPCC 2022), DOI: 10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00181, (CCF C类会议)
[3]Zijie Zhong, Yuhui Deng, and Jie Li, A Heat-Recirculation-Aware Data Placement Strategytowards Data Centers, In Proceedings of the 28th IEEE International Conferenceon Parallel and Distributed Systems (ICPADS 2022), Nanjing, China, DOI: 10.1109/ICPADS56603.2022.00081.(CCF C).
[4]Zhaorui Wu, Yuhui Deng, Yi Zhou, Jie Li, and Shujie Pang. FaaSBatch: Enhancing the Efficiencyof Serverless Computing by Batching and Expanding the Functions. In Proceedigns ofthe 43rd IEEE International Conference on Distributed Computing Systems (ICDCS 2023).Hongkong. IEEE Accepted (CCF B).
Ø 联系方式
Email：lijie@m.scnu.edu.cn
个人主页：https://url.scnu.edu.cn/record/view/index.html?key=6adecc71d0cf92388d11d1c0f8ecc873