石方，女，博士，副教授，硕士生导师。主要研究方向包括人工智能、边缘智能、联邦学习、机器学习，目前已在IEEE Transactions on Mobile Computing、IEEE Transactions on Wireless Communications、IEEE Transactions on Fuzzy Systems、ACM Computing Surveys、IEEE Transactions on Industrial Informatics、计算机研究与发展、软件学报等核心期刊、会议上发表学术论文二十余篇，担任多个期刊会议审稿人。

2019.09-2023.09 华南理工大学 计算机科学与技术 博士

2016.09-2019.06 广州大学 计算机技术 硕士

2012.09-2016.06 海南师范大学 教育技术学 学士

2024.01-至今 华南农业大学 首聘副教授

办公室：华南农业大学数学与信息学院609
邮箱：csshifang@scau.edu.cn

[1]. Shi Fang, Lin Weiwei*, Wang Xiuming, Li Keqin, Zomaya, Albert Y.. The Analysis and Optimization of Volatile Clients in Over-the-Air Federated Learning.  IEEE Transactions on Mobile Computing, 2024, 23(12), 13144-13157. (CCF A, IF：7.7)

[2]. Shi Fang, Lin Weiwei*, Fan Lisheng, Lai Xiazhi, Wang Xiuming. Efficient client selection based on contextual combinatorial multi-arm bandits[J]. IEEE Transactions on Wireless Communications, 2023, 22(8),5265-5277. (JCR-Q1, IF：8.9)

[3]. Shi Fang, Lin Weiwei, Peng Chaoda, Zhong Cankun, Wang Dong, Cheng Mingyue*. Dynamic Client Selection for Over-the-Air Federated Learning Network[J]. IEEE Internet of Things Journal, 2025, doi: 10.1109/JIOT.2024.3523947. (JCR-Q1，IF：8.2)

[4]. Shi Fang, Hu Chunchao, Lin Weiwei*, Fan Lisheng, Huang Tiansheng, Wu Wentai. VFedCS: Optimizing client selection for volatile federated learning[J]. IEEE Internet of Things Journal, 2022, 9(24): 24995-25010. (JCR-Q1，IF：8.2)

[5]. Lin Weiwei, Shi Fang*, Wu Wentai, Li Keqin, Wu Gangxin, MOHAMMED A. A. A taxonomy and survey of power models and power modeling for cloud servers[J]. ACM Computing Surveys, 2020, 53(5): 1-41. (JCR-Q1, IF：23.8) 唯一通信

[6]. Wu Haijie, Lin Weiwei*, Chen Yuehong, Shi Fang*（申请人）, Shen, Wangbo, Chen, C. L. philip. Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set with Automatic Determination of Hyperparameters[J]. IEEE Transactions on Fuzzy Systems. 2025, doi: 10.1109/TFUZZ.2025.3530458. (JCR-Q1, IF：10.7) 共同通信

[7]. Shi Fang, Fan Lisheng, Lai Xiazhi, Chen Yuehong, Lin Weiwei*. A hierarchical caching strategy in content delivery network[J]. Computer Communications. 2021, 179: 92-101. (JCR-Q1)

[8]. Shi Fang, Junjuan Xia*, Na, Zhenyu, Liu, Xin, Ding Yunfei, Wang Zhi. Secure probabilistic caching in random multi-user multi-UAV relay networks[J]. Physical Communication, 2019, 32: 31-40. (JCR-Q2)

[9]. Li, Dongdong, Liu Bo, Yang Chunqiao, Shi Fang, Peng, Yunfei, Lin, Weiwei*. K-Core Structure Feature Encoding-Based Enhanced Federated Graph Learning Framework[J]. IEEE Transactions on Emerging Topics in Computational Intelligence. 2025, doi: 10.1109/TETCI.2025.3526278. (JCR-Q1)

[10]. Lin Weiwei, Xiong Chennian, Wu Wentai, Shi Fang, Li Keqin, Xu Minxian. Performance Interference of Virtual Machines: A Survey[J]. ACM Computing Surveys, 2023, 55(12): 1-37. (JCR-Q1)

[11]. Shen Wangbo, Lin Weiwei*, Wu Yulei, Shi Fang, Wu Wentai, Li Keqin. Evolving deep multiple kernel learning networks through genetic algorithms[J]. IEEE Transactions on Industrial Informatics, 2022, 19(2): 1569-1580. (JCR-Q1)

[12]. Zhou Naqin, Lin Weiwei, Feng Wei, Shi Fang, Pang Xiongwen. Budget-deadline constrained approach for scientific workflows scheduling in a cloud environment[J]. Cluster Computing, 2023, 26(3): 1737-1751. (JCR-Q1)

[13]. You Deguang, Lin Weiwei, Shi Fang, Li Jianzhuo, Qi Deyu, Fong Simon. A novel approach for CPU load prediction of cloud server combining denoising and error correction[J]. Computing, 2023: 1-18. (JCR-Q1)

[14]. Lin Weiwei, Xu Yinhai, Liu Bo, Li, Dongdong, Huang, Tiansheng, Shi Fang（申请人）. Contribution-based Federated. Learning client selection[J]. International Journal of Intelligent Systems, 2022, 37(10): 7235-7260. (JCR-Q1)

[15]. Lin Weiwei, Huang Tiansheng, Li Xin, Shi Fang, Wang, Xiuming, and Hsu, Ching-Hsien. Energy-efficient computation offloading for UAV-assisted MEC: A two-stage optimization scheme[J]. ACM Transactions on Internet Technology, 2021, 22(1): 1-23. (JCR-Q1)

[16]. 林伟伟; 石方; 曾岚; 李董东; 许银海; 刘波. 联邦学习开源框架综述[J]. 计算机研究与发展, 2023, 60(7): 1551-1580. (CCF A中文期刊)

[17]. 李俊祺, 林伟伟, 石方, 李克勤. 基于混合群智能的节能虚拟机整合方法[J]. 软件学报, 2022, 33(11): 3944-3966. (CCF A中文期刊)

[18]. 林伟伟, 石方. 面向不稳定联邦学习场景的客户端选择优化方法及装置，2022.04.，ZL202210426304.9

[19]. 范立生，石方，林晓升，夏隽娟，谭伟强. 一种安全概率缓存策略及其生成方法，2021-3-30, 中国, ZL201810913309.8.

[20]. 林伟伟, 许银海, 石方, 王江涛, 上官栋栋. 面向X86和ARM混合云计算的节能调度系统、方法和存储介质, 2023-5-30, 中国, ZL202110452258.5.