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个人简介

学习经历 2003.9-2006.6 苏州大学,计算机应用技术专业,获工学硕士学位 2006.9-2009.6 苏州大学,计算机应用技术专业,获工学博士学位 工作经历 2021.9-2022.8 中国气象局气象干部培训学院,兼职教授 2009.6 至今 南京信息工程大学计算机与软件学院,教授 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) 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 2015.9-2016.9 美国佛罗里达大学(University of Florida),访问学者

研究领域

1) 大数据分析(AI、Deep Learning,Spark,Big Data,etc) 2) 计算机视觉(人脸识别、目标检测与分割、图像增强、行人重识别、云图识别等) 3) 数据挖掘(聚类、分类、半监督学习算法等) 4) 信息检索(Deep Web,搜索引擎和推荐系统等) 5) 气象信息技术(基于AI的卫星云图识别、天气预报、强对流天气、数据订正、资料同化、台风强度和路径预测、气象灾害预警预报和空气质量检测以及气象元宇宙等) 6) 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

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

W. Fang, L. Pang, V. S. Sheng and Q. Wang. STUNNER: Radar Echo Extrapolation Model Based on Spatio-Temporal Fusion Neural Network. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023. (SCI一区) Wei Fang, Meihan Qi.SWINAT-UNET: A NEW BACKBONE FOR PRECIPITATION NOWCASTING, 2023 IEEE International Conference on Image Processing(ICIP2023) Kuala Lumpur, Malaysia,2023.(EI,CCF-C类) Wei Fang, Zhong Yuan, Xue Qiongying. SPM-Diffusion for Temperature Prediction.32nd International Conference on Artificial Neural Networks(ICANN 2023), Heraklion, Crete, Greece,2023.(EI,CCF-C类) Wei Fang, Yu Sha , Xiaozhi Zhang. Spatiotemporal model with attention mechanism for ENSO Predictions.32nd International Conference on Artificial Neural Networks(ICANN 2023), Heraklion, Crete, Greece,2023.(EI,CCF-C类) Fang, W.; Sha, Y.; Sheng, V.S. Survey on the Application of Artificial Intelligence in ENSO Forecasting. Mathematics.2022, 10(20): 3793. (SCI) Fang, W., Yi, W., Pang, L.. Study of cross-domain person re-identification based on DCGAN. Multimedia Tools and Applications,2022, 81:36551–36565. (SCI)(CCF-C类) Fang, W.; Lu, W.; Li, J.;Zou, L. A Novel Tropical Cyclone Track Forecast Model Based on Attention Mechanism. Atmosphere, 2022, 13(10),1607. (SCI) 方巍,庞林,易伟楠.基于深度时空融合网络的雷达回波外推模型.电子学报,2023. 12(EI,CCF-T1类) 方巍,沈亮, 邹立尧,等..基于GCA-ConvLSTM的短临降水雷达回波外推方法研究[J].暴雨灾害.2023.6(T2类) 方巍,齐媚涵.基于深度学习的高时空分辨率降水临近预报方法研究[J].地球科学与环境学报, 2023,45(3):706-718. (T2类) 方巍, 伏宇翔. 元宇宙:概念、技术及应用研究综述[J]. 南京信息工程大学学报,2023. W. Fang, X. Jia, W. Zhang and V. S. Sheng, A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU[J]. KSII Transactions on Internet and Information Systems, 2023,17(02): 486-503. (SCI) W. Fang, L. Shen, V. S. Sheng and Q. Xue. A novel method for precipitation nowcasting based on ST-LSTM. CMC: Computers, Materials & Continua, 2022, 72(3): 4867–4877. (SCI) W. Fang, Y. Sha, M. Qi and V. S. Sheng. Movie recommendation algorithm based on ensemble learning. Intelligent Automation & Soft Computing, 2022, 34(1):609–622. (SCI) 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) 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) 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) 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) (CCF-C类) 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) 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) Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng. DOG :A New Background Segmentation Recognition Method based on CNN. Neurocomputing,2019,361: 85-91.(SCI二区) (CCF-C类) 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) 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) 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). 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) Fang Wei, WenXueZhi. A Survey of Big Data Security and privacy Preserving., IETE TECHNICAL REVIEW,2017,Vol. 34(5): 544-560. ( SCI) 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) Fang Wei, Sheng.V.S, WenXueZhi. Meteorological Data Analysis Using MapReduce, The Scientific World Journal,2014(2014):1-10. (SCI) 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) Sheng,V.S, GuBin, Fang Wei.Cost-Sensitive Learning for Defect Escalation, Knowledge Based Systems, 2014,66:146-155.(SCI) 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) S. Wang, L. Qiao, W. Fang, G. Jing, V. S. Sheng et al., "Air pollution prediction via graph attention network and gated recurrent unit," Computers, Materials & Continua, vol. 73, no.1, pp. 673–687, 2022. (SCI) 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) 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) Maofu Liu , Luming Zhang, Ya Liu , Huijun Hu , Wei Fang. Recognizing semantic correlation in image-text weibo via feature space mapping, Computer Vision and Image Understanding,2017,163:58–66(SCI) Wei Fang, TianXiao Jiang, Ke Jiang, Feihong Zhang and Yewen Ding. A method of automatic text summarization based on long short-term memory. Int. J. Computational Science and Engineering( IJCSE),2020, Vol. 22(1):39-49. (EI) Wei Fang, Yewen Ding, Feihong Zhang. A Novel Convolution Neural Network for Background Segmentation Recognition. Lecture Notes in Computer Science, 2018:172-182. (EI) Wei Fang, Xuezhi Wen and Yu Zheng. A Duplicate Data Detection Approach Based on MapReduce and HDFS. Recent Patents on Computer Science, 2017,Vol. 10(2):140-148.(EI)

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