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Research Interests

Data Mining,   Artificial Intelligence，Applied Meteorology，Big Data Analytics

Teaching

[1]     Undergraduate Course: “Java Programming Language”. Spring 2012, Spring 2013, Spring 2014

[2]     Graduate Course: “Web Data Mining”. Spring 2011, Spring 2013

[3]     Undergraduate Course: “Management Information Systems”, Spring 2012, Spring 2013, Spring 2014

[4]     Undergraduate Course: “Oracle Database Application”, Fall 2012, Spring 2020

Publications

[1] 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)

[2] 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)

[3] 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)

[4] 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)

[5] 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)

[6] 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)

[7] 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)

[8] 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)

[9] 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).

[10] 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)

[11] Fang Wei, WenXueZhi. A Survey of Big Data Security and privacy Preserving., IETE TECHNICAL REVIEW,2017,Vol. 34(5): 544-560. ( SCI)

[12] 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)

[13] Fang Wei, Sheng.V.S, WenXueZhi. Meteorological Data Analysis Using MapReduce, The Scientific World Journal,2014(2014):1-10. (SCI)

[14] 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)

[15] Sheng,V.S, GuBin, Fang Wei.Cost-Sensitive Learning for Defect Escalation, Knowledge-Based Systems, 2014,66:146-155.(SCI）

[16] 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)

[17] 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）

[18] 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)

[19] 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)

[20] 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)

[21] 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)

[22] Wei Fang, Yewen Ding, Feihong Zhang. A Novel Convolution Neural Network for Background Segmentation Recognition. Lecture Notes in Computer Science, 2018:172-182. (EI)

[23] 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)

[24] Fang Wei,Wen XueZhi, Xu Jiang. An Elastic Meteorological Cloud Platform Based on Xen. Information Technology Journal,2013(15):3174-3178.(EI：20142317798832)

[25] Fang Wei, Pan Wubin, CuiZhiming. A novel method on Incremental information acquisition for Deep Web, Journal of Convergence Information Technology,Vol.6(6):390-399, 2011.(EI:20112814133811)

[26] Fang Wei,Wen Xuezhi.An approach on Deep Web incremental information acquisition based on LRL, Journal of Computational Information Systems,Vol.7 (15):5469-5475 ,2011.(EI:20115014602807)

[27] FangWei, CuiZhiming. Semi-Supervised Classification with Co-training for Deep Web. Key Engineering Materials,Vol.439-440:183-188,2010.(EI:20103313148307)

[28] Wei Fang, Zhiming Cui, Pengpeng Zhao. Ontology-Based Focused Crawling of Deep Web Sources. KSEM 2007, LNAI, Vol. 4798,pp.514–519, Melbourne,2007.11.27-29,大会报告 (EI:080411048668)

[29] Wei Fang, Pengyu Hu，Zhiming CUI. Ontology-Based Deep Web Data Sources Selection. HAIS 2008, LNCS (LNAI), Vol. 5271,483-490, Spain ,2008.09.28-30,大会报告. (EI:20094512430130)

[30] Wei Fang, Lin Pang, Weinan Yi. Survey on the Application of Deep Reinforcement Learning in Image Processing. Journal on Artificial Intelligence,2020, Vol.2(1):39-58.

[31] Fang Wei, Xian Xuefeng, Zhao Pengpeng, Cui ZhiMing. A Dynamic Fuzzy Description Logic. Wuhan University Journal of Natural Sciences, 13(4):417-420, 2008.

Textbook

[1] Fang Wei . Oracle Database Application and Practice. TSingHua University Press,2014.ISBN: 9787302377085.

Projects

[1]  2014.6-2016.6 Research on Meteorological Privacy Preserving on cloud computing.  the open research project of State Key Lab. for Novel Software Technology，Nanjing University, P.R. China(No. KFKT2014B21)

[2]  2013.1-2013.12. Research on Meteorological operational cloud platform   

Construction and improve Meteorological collaborative innovation capacity, the 2013 project of Meteorological soft science of China ([2013] No. 055).

[3]  2011.1-2013.3.  Research on numerical weather forecast system virtualization technology based on InforSuite Cloud Middleware, Shandong Province Postdoctoral special innovative projects funded project (No.201103002).

[4]  2011.9-2013.12.  Research on Uncertain Schema Mapping of Deep Web based   

on Logic Reinforcement Learning (No.11KJB520010).  Project of 2011 University Science Research Project of Jiangsu Province.

[5]  2010.1-2012.12.  Research of Incremental Information Acquisition method of Deep Web based on Logical Reinforcement Learning (NO.60970015). National Foundation of Natural Science, China.

[6]  2009.9-2011.9 .Research of Deep Web Information Integration System based on the Evolution of Mechanisms(NO.BK2009563).the ’2009  Basic Research Project of Enterprises Doctoral Innovation in Jiangsu Province.

Invention Patent

[1]  A page query interface extraction method based on visual features, China (No. ZL200710019543.8)

[2]  A data source discovery method of integrated data source for Deep Web, China (No.ZL200710021883.4)

[3]  A wrapper generating method for a complex site automatically, China (No. ZL200910029561.3)

[4]  A classification management method based on the Deep Web data source query interface connection diagram, China (No.ZL200810024251.8)

[5]  A data source selection method for Deep Web data integration, China (No.ZL201010250124.7)

[6]  A low-contrast images of vehicles wavelet feature extraction method, China (No.ZL201010280831.0)

[7]  A incremental information acquisition method for Deep Web, China (No.ZL201110020898.5)

Programming Skills

l  High-level languages:  Java

l  Scientific packages:  Matlab

l  OS:  GNU/Linux, Windows,Solaris

Languages

l  Chinese:  Mother tongues.

l  English:  Good level reading, writing and speaking.

Honours and Awards

[1]  First prize: College Multimedia Courseware Competition Award in Jiangsu province of China, 2013  

[2]  Outstanding Teacher:  Teaching Competition in NanJing University of Information Science & Technology, 2011

[3]  Best Paper Award:  The Tenth National Symposium of Search Engine and Web Mining (SEWM2007), 2007