张金泉，工学博士，广东工业大学讲师。主要研究方向为云计算资源管理、无服务器计算、调度优化、大模型推理优化。在IEEE Transactions on Parallel and Distributed Systems (TPDS)、IEEE Transactions on Services Computing (TSC)、Future Generation Computer Systems (FGCS)、IEEE Transactions on Cloud Computing (TCC)、MLSys、SIGKDD等国际知名学术期刊和会议上发表学术论文十余篇。参与国家重点研发计划项目、国家自然科学基金项目、企业合作项目等多项课题研究。获得华为火花奖，指导学生获全国研究生数学建模竞赛国家一等奖，专利和软件著作权各一项。

研究方向：云计算与智能调度，无服务器计算、大模型推理优化。

联系方式：zjq8860@gdut.edu.cn。

欢迎大家加入课题组！

主要成果：

[1] J. Zhang, H. Cao, L. Chen, S. Li, X. Li*, B. Ai. "Container-State-Aware Energy Consumption Minimization for Serverless Functions," in IEEE Transactions on Services Computing, 2026. (CCF A)

[2] J. Zhang, X. Li*, L. Chen, R. Ruiz. "Scheduling Workflows With Limited Budget to Cloud Server and Serverless Resources," in IEEE Transactions on Services Computing, 2024. (CCF A)

[3] Zhang, Jinquan, Li Xiaoping*, Ding Zhicheng, Li Yibo, Bao Guoqiang, Chen Long*. Dynamic Function Deployment and Task Offloading in Serverless Multi-Edge Systems. ICWS2026 (CCF B)

[4] Zhang, Jinquan, Li, Xiaoping*, Rajput, Kamran Yaseen, Chen, Long. Reinforcement Learning Based Memory Configuration for Linear Dynamic Function Chains. 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE, 2024 (CCF C)

[5] 考虑价值因素的服务调用网资源配置与在离线业务混部调度. 华为火花奖. 第一完成人．（授权机构：华为技术有限公司）. 2024.09

社会服务：

担任相关领域众多期刊和会议的审稿人：IEEE Transactions on Services Computing, IEEE Transactions on Systems, Man and Cybernetics，IEEE Transactions on Sustainable Computing, IEEE Transactions on Industrial Informatics, Journal of the Franklin Institute, Journal of Grid Computing, Cluster Computing, Future Generation Computer Systems, Journal of Supercomputing , Computing, Journal of Scheduling, IC3APP, ICPADS, ICWS, ChineseCSCW等。

学生成果：

[1] 蒋丰铠. 第二十二届中国研究生数学建模竞赛. 国家一等奖. （授权机构：中国学位与研究生教育学会）. 2025.12

[2] 冯远聪. 植株叶片植食率智能检测系统. 本科生毕业设计创新奖.（授权机构：广东工业大学）. 2026.06

[3] Jiang Fengkai, Kou Fulu, Zhang Jinquan*, Yang Rui, Pang Shujie. EcoFlow: Cost-Aware LLM Serving on Heterogeneous GPUs via Min-Cost Max-Flow. ICWS2026 (CCF B)

[4] Tan Yinming, Zhang, Jinquan*, Chen Long, Di Kai, Li Pan. CompQ: QoE-Aware Compensation for Resumed Requests in Interactive LLM Inference Services. ICWS 2026 (CCF B)

[5] Ling Jianfeng, Feng Feilong, Zhang, Jinquan*, Chen Long, Wan Jihong. FedAlloy: Dual-Channel Federated Learning across Quantized and Heterogeneous Language Models. ICWS2026 (CCF B)

[6] Guo, Kejia, Zhang, Jinquan*, Li, Xiaoping*. DSPJ: Deep Reinforcement Learning-based Scheduling Algorithm for Parallel Multi-stage Cloud Fuzzy Jobs. 2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS), 2025: 1-4 (CCF C)

[7] Fengkai Jiang, Jinquan Zhang*, Xiaoping Li. Chorus: Mitigating GPU Fragmentation in LLM Serving by Unifying Prefill-Decode Disaggregation and Aggregation. ChineseCSCW 2025.（EI检索）

[8] Jie Qiu, Jinquan Zhang, Xiaoping Li*. Deadline- and Reliability-Constrained Workflow Scheduling in GDCs. 20th CCF Conference on Computer Supported Cooperative Work and Social Computing, 2025.（EI检索）

[9] 郭可珈, 张金泉, 李小平. 一种异构集群并行多阶段模糊作业调度方法. 发明专利申请号: 202511293756.4

[10] 邱杰, 李小平, 张金泉. 一种动态截止期与可靠性约束的云工作流调度方法. 发明专利申请号: 202511557707.7