个人简历

学习经历\r
2003.9-2006.6 苏州大学，计算机应用技术专业，获工学硕士学位\r
2006.9-2009.6 苏州大学，计算机应用技术专业，获工学博士学位\r
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工作经历\r
2021.9-2022.8 中国气象局气象干部培训学院（挂职）\r
2009.6 至今 南京信息工程大学计算机与软件学院，教授、副教授\r
2018.8-2019.8 南京市六合区雄州街道办事处副主任、六合高新区管委会副主任（挂职）\r
2011.1-2013.3 南京信息工程大学大气科学学院/中创软件工程股份有限公司，博士后/高级工程师\r
2015.9-2016.9 美国佛罗里达大学(University of Florida),访问学者

研究领域

""主要从事人工智能、数据挖掘、计算机视觉和气象大数据分析等方面的科研与教学工作。\r
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研究方向包括\r
a) 大数据分析与处理（AI、Deep Learning,Spark,Big Data,etc)\r
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b) 计算机视觉(人脸识别、行人重识别、云图识别等）\r
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c) Web数据挖掘（聚类、分类、半监督学习算法等）\r
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d) 信息检索（Deep Web,搜索引擎和推荐系统等）\r
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e) 应用气象（基于AI的卫星云图识别、短临降水预报、强降水、台风灾害预警预报和空气质量检测等）\r
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f) 软件工程（基于Java EE的软件开发，SSH,SSM框架，Spring Cloud,Spring Boot, Node.js, Vue.js,微服务架构等软件开发技术）""""

近期论文

Fang, W., Gu, E., Yi, W., Wang, W., Sheng, V. S. . A New Method of Image Restoration Technology Based on WGAN. Computer Systems Science and Engineering. 2022, 41(2), 689–698. (SCI)\r
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Fang, W., Pang, L., Yi, W., Sheng, V. S. (). AttEF: Convolutional LSTM Encoder-Forecaster with Attention Module for Precipitation Nowcasting. Intelligent Automation & Soft Computing, 2021,30(2):453–466. (SCI)\r
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Fang W, Xue Q, Shen L, Sheng VS. Survey on the Application of Deep Learning in Extreme Weather Prediction. Atmosphere. 2021,12(6):661. (SCI)\r
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Wei Fang, Feihong Zhang, Victor S. Sheng, Yewen Ding. SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network, Neurocomputing, 2021,448: 10-20.(SCI二区)\r
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Wei Fang, Feihong Zhang, Yewen Ding, Victor S. Sheng. A new sequential image prediction method based on LSTM and DCGAN. CMC: Computers, Materials & Continua,2020, 64(1):217-231.(SCI二区)\r
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Wei Fang, Weinan Yi, Lin Pang, and Shuonan Hou. 2020. A Method of License Plate Location and Character Recognition based on CNN. KSII Transactions on Internet and Information Systems, 2020,14(8): 3488-3500.(SCI)\r
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Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng. DOG ：A New Background Segmentation Recognition Method based on CNN. NEUROCOMPUTING， 7 October 2019, 2019,361: 85-91.（SCI二区)\r
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Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng. Gesture recognition based on convolutional neural network for calculation and text output. IEEE access，2019,7(1):28230-28237.（SCI二区)\r
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Wei Fang, Feihong Zhang, Victor S. Sheng, Yewen Ding. A Method for Improving CNN-Based Image Recognition Using DCGAN. CMC: Computers, Materials & Continua, 2018, 57(1):167-178.（SCI)\r
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Wei Fang, Victor S. Sheng, XueZhi Wen. MeteCloud: Meteorological Cloud Computing Platform for Mobile Weather Forecasts based on Energy-aware Scheduling. Journal of Internet Technology, 2018,19(3):959-967 (SCI).\r
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Wei Fang, XueZhi Wen, Jiang Xu, JieZhong Zhu. CSDA:a novel cluster-based secure data aggregation scheme for WSNs. Cluster Computing, 2019, Vol 22:5233-5244. (SCI)\r
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Fang Wei, WenXueZhi. A Survey of Big Data Security and privacy Preserving., IETE TECHNICAL REVIEW,2017,Vol. 34(5): 544-560. ( SCI)\r
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Fang Wei, Pan Wubin, Cui Zhiming. View of MapReduce: Programming Model, Methods and it Applications, IETE TECHNICAL REVIEW,2012,Vol 29,5:380-387.( SCI)\r
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Fang Wei, Sheng.V.S, WenXueZhi. Meteorological Data Analysis Using MapReduce, The Scientific World Journal,2014(2014):1-10. (SCI)\r
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Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling. An optimal model with a lower bound of recall for imbalanced speech emotion recognition, Multimedia Tools and Applications , 2020,DOI.10.1007/s11042-020-09155-3(SCI)\r
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Sheng,V.S, GuBin, Fang Wei.Cost-Sensitive Learning for Defect Escalation, Knowledge-Based Systems, 2014,66:146-155.(SCI）\r
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Xuezhi Wen, Ling Shao, Wei Fang, Yu Xue. Efficient Feature Selection and Classification for Vehicle Detection, IEEE Transactions on Circuits and Systems for Video Technology.2014,25(3):508-517.(SCI)\r
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Yu Zheng, Jiezhong Zhu, Wei Fang, and Lian-Hua Chi, “Deep Learning Hash for Wireless Multimedia Image Content Security,” Security and Communication Networks, vol. 2018, Article ID 8172725, 13 pages, 2018.(SCI）\r
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X. Wen, L. Shao, Y. Xue and W. Fang, “A Rapid Learning Algorithm for Vehicle Classification”, Information Sciences, vol. 295, pp. 395–406, Feb. 2015.(SCI)\r
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Liumaofu, Ya Liu, Zhenguang Liu, Huijun Hu , Fang Wei. Pooling Based Quantitative Evaluation Approach to Image Binarization Algorithms, IEEE MultiMedia,2017,24(1):86-92（SCI)