教育经历 1988.9 - 1992.7：华中理工大学，本科毕业，获学士学位。 1998.9 - 2006.12：华中科技大学，研究生毕业，获博士学位。 工作经历 2003.7 - 至今：华中科技大学计算机科学与技术学院，担任副教授。 2003.7 - 2010.6：华中科技大学计算机科学与技术学院计算机应用系，担任副主任。 2010.7 - 至今：华中科技大学计算机科学与技术学院并行与分布式计算所，担任副所长。 2013.9 - 2013.12：美国卡内基梅隆大学计算机系，担任访问学者。 2017.9 - 2017.10：澳大利亚悉尼大学分布式计算所，担任访问学者。

主要从事移动互联网、大数据等方向的研究

CCF教育专委会会员

[1] (14) Feng Lu; Wei Li; Hai Jin; Lu Gan; Albert Y. Zomaya; Shadow-chain: A Decentralized Storage System for Log Data, IEEE Network, 2020, 34(4):68-74. http://dx.doi.org/10.1109/MNET.011.1900385. . [2] (13) Feng Lu, Ruoxue Liu, Wei Li, Hai Jin, and Albert Y. Zomaya. Efficient Mobile Code Offloading in Heterogeneous Wireless Networks. Concurrency and Computation Practice & Experience. 2021; 33:e5128. https://doi.org/10.1002/cpe.5128.（2016YFB1000501, 2016B03036003,2016B030305002）（ISSN: 1532-0626, CCF-C, 中科院4区，JCR-Q3, google引用7）. [3] (12) Guoxing Tang+; Ying Luo+; Feng Lu+; Wei Li+; Xiongcheng Liu; Yucen Nan; Yufei Ren; Xiaofei Liao; Song Wu; Hai Jin*; Albert Y. Zomaya*; Ziyong Sun*; Prediction of Sepsis in COVID-19 Using Laboratory Indicators, Frontiers in Cellular and Infection Microbiology, 2021.3, 10: 901. https://doi.org/10.3389/fcimb.2020.586054. . [4] (11) Feng Lu, Wei Li, Song Lin, Chengwagnli Peng, Zhiyong Wang, Bin Qian, Rajiv Ranjan, Hai Jin, Albert Y. Zomaya. Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images, ACM Transactions on Internet of Things, 3(1)(2021), pp.2:1-2: 19. https://doi.org/10.1145/3477540.. [5] (10) Jainmin Ling#, Tongzhou Liao#, Yanqing Wu, Zhaohua Wang, Hai Jin, Feng Lu*, Minghao Fang*. Predictive Value of Red Blood Cell Distribution Width in Septic Shock Patients with Thrombocytopenia: A Retrospective Study Using Machine Learning. Journal of Clinical Laboratory Analysis. Clin Lab Anal. 2021.10;00:e24053. http://doi.org/10.1002/jcla.24053. [6] (9) Yucen Nan, Wei Li, Feng Lu, Chengwen Luo, Jianqiang Li, Albert Y Zomaya. Developing Practical Multi‑view Learning for Clinical Analytics in P4 Medicine. IEEE Transactions on Emerging Topics in Computing, 2022, 10(2):948-961. http://dx.doi.org/10.1109/TETC.2021.3054761. . [7] (8) 卢云,张梦月,夏赫,邹小静,李炜,金海,陆枫*,房明浩*.基于LightGBM及SHAP对1055例新型冠状病毒肺炎重型患者中西医结合及西医治疗的多中心回顾性研究,北京中医药大学学报.2021,44(12):1098-1107. http://dx.doi.org/10.3969/j.issn.1006-2157.2021.12.007.. [8] (7) Lu Feng, Gu Lin, Tian Xuehua, Song Cheng, Zhou Lun. Federated Learning Based on Extremely Sparse Series Clinic Monitoring Data[J]. ZTE Communications, 2022, 20(3): 27-34. http://zte.magtechjournal.com/EN/10.12142/ZTECOM.202203004. . [9] (6) Feng Lu, Wei Li, Canyu Li, Shuai Liu, Dong Wu, Minghao Fang, Xiaojing Zou, Mi Li, Ran Zheng, Yufei Ren, Xiaofei Liao, Hai Jin, and Albert Y. Zomaya, Fine-grained Lesion Classification Framework for Early Auxiliary Diagnosis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. http://dx.doi.org/10.1109/TCBB.2023.3260108. .