个人简介
伏舒存，2025年毕业于东南大学江苏省网络与信息安全重点实验室，获计算机科学与技术博士学位，导师为东方教授。目前在许小龙教授的数据科学与智能软件服务团队从事边缘智能、大小模型协同、智能体服务等方向的研究。在IEEE TMC、IEEE TSC、IEEE TETCI、ACM TIST、IEEE IoTJ等国际期刊以及IEEE SECON、IEEE ICWS、ACM ICPP等国际会议上发表论文20余篇。ACM南京分会优秀博士论文奖获得者，担任ACM南京学生分会主席。
发表论文（*通讯作者）：
[TMC] Shucun Fu, Fang Dong, Xiaolong Xu, Dian Shen, Muhammad Bilal, Schahram Dustdar. CODEA: Online Container Deployment and Edge Association for Multi-Edge Federated Synergy Learning. IEEE Transactions on Mobile Computing (TMC), 2026.（CCF-A 类期刊）
[TMC] Shucun Fu, Fang Dong, Runze Chen, Dian Shen, Jinghui Zhang, Qiang He. Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning. IEEE Transactions on Mobile Computing (TMC), 2025, 24(7): 6243-6258.（CCF-A 类期刊）
[TSC] Shucun Fu, Fang Dong, Dian Shen, Jinghui Zhang, Zhaowu Huang, Qiang He. Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning. IEEE Transactions on Service Computing (TSC), 17(1): 251-262, 2024.（CCF-A 类期刊）
[SECON'23] Shucun Fu, Fang Dong, Dian Shen, Qiang He. Joint Quality Evaluation, Model Splitting and Resource Provisioning for Split Edge Learning. IEEE International Conference on Sensing, Communication, and Networking (SECON), 2023: 420-428.（CCF-B 类会议）
[SPE] Shucun Fu, Fang Dong, Dian Shen, Tianyang Lu. Privacy-preserving model splitting and quality-aware device association for federated edge learning. Software: Practice and Experience (SPE), 2023.（CCF-B 类期刊）
[IoTJ] Shucun Fu, Runze Chen, Xuhao Shi, Xiaolong Xu*, Muhammad Bilal. ODRO: Online Device Selection and Resource Orchestration for Split Federated Learning. IEEE Internet of Things Journal, 2026. (中科院1区，CCF-C类期刊)
[TIST] Shucun Fu, Fang Dong, Dian Shen, Runze Chen and Jiangshan Hao. DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT. ACM Transactions on Intelligent Systems and Technology (TIST), 15(5): 1-28, 2024.（CCF-C 类期刊，JCR Q1）
[TOSN] Fang Dong, Runze Chen, Shucun Fu*, Wangbing Cheng, Ruiting Zhou, Xu Zhang. Enabling Efficient Synergistic Multi-view Inference across Heterogeneous Edge Devices. ACM Transactions on Sensor Networks (TOSN), 2025.（CCF-B 类期刊，JCR Q1）
[IoTJ] Jieming Zhou, Xiaolong Xu, Guangming Cui, Shucun Fu*, Muhammad Bilal. Workload-Oriented Computation Offloading Game for UAV-Assisted Mobile Edge Computing: A Game-Theoretic Approach. IEEE Internet of Things Journal, 2026. (中科院1区，CCF-C类期刊)
[CBD'25] Zishun Rui, Shucun Fu, Haolong Xiang, Siyu Wu, Shengjie Chen and Xiaolong Xu. Knowledge Graph-Enhanced Large Language Model Reasoning with Prompt Engineering. The International Conference on Advanced Cloud and Big Data, 2025: 199-204. (Best Application Paper Award)
[IoTJ] Jie Chen, Xiaolong Xu, Haolong Xiang, Shucun Fu, Muhammad Bilal. pFedBlock: A Blockchain-Enhanced Split Federated Learning Framework for Robust and Traceable Model Training. IEEE Internet of Things Journal, 2025. (中科院1区，CCF-C类期刊)
[TETCI] Xiaolong Xu, Shucun Fu, Weimin Li, Fei Dai, Honghao Gao, Victor Chang. Multi-Objective Data Placement for Workflow Management in Cloud Infrastructure Using NSGA-II. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 4(2020): 605-615, 2020.（JCR Q2）
[ICWS'19] Xiaolong Xu, Shucun Fu, Lianyong Qi, Xuyun Zhang, Wanchun Dou. A Multi-Objective Crowdsourcing Method for Mobile Video Streaming. IEEE International Conference on Web Services (ICWS), 2019.（CCF-B 类会议）
[JNCA] Xiaolong Xu, Shucun Fu, Lianyong Qi, Xuyun Zhang, Qingxiang Liu, Qiang He, Shancang Li. An IoT-oriented data placement method with privacy preservation in cloud environment. Journal of Network and Computer Applications (JNCA), 124(2018): 148-157, 2018.（CCF-C 类期刊）
[JCA] 伏舒存, 付章杰, 邢国稳, 刘庆祥, 许小龙. 移动边缘环境下面向工作流管理的计算迁移方法. 计算机应用, 39(5): 1523-1527, 2019. （中文核心，CCF-T2 类期刊）
科研项目：
国家自然科学基金，青年科学基金项目（C类），2027-2029，主持
中国博士后科学基金，面上项目，2026-2027，主持
江苏省卓越博士后计划（B类），2026-2028，主持
计算机软件新技术全国重点实验室，开放课题，2026-2028，主持
教育经历
[1] 东南大学 工学博士学位
工作经历
[1] 2025.6- 至今
南京信息工程大学 计算机学院、软件学院
社会兼职
- 暂无内容
研究方向
[1] 边缘智能
[2] 联邦学习
其他联系方式
团队成员
暂无内容