Personal Homepage

Academic Position

2009/06-Current	Professor and   Doctoral Supervisor, School of Computer Science, Nanjing University of   Information Science & Technology, China
2011/12-2013/05	Postdoctoral and   Senior Engineer, School of Atmospheric Sciences, Nanjing University of   Information Science and Technology， Postdoctoral Work Station of   CVIC Software Engineering Co., Ltd., JiNan, China
2015/09- 2016/09	Visiting Scholar, Department of Electronic   and Computer Engineering, University of Florida, USA
2021/09- 2022/08	Part-time professor, Meteorological Cadre Training College of the China   Meteorological Administration
Senior member of China Computer Society (CCF), executive   member of CCF computer application special committee,  project review expert of National Natural   Science Foundation of China,  project   review expert of Ministry of science and technology, review expert of degree   and graduate education development center of Ministry of education, final   judge of National Postdoctoral innovation and entrepreneurship competition,   senior expert of Guangxi artificial intelligence association. Served as chairman of International Conference on   Artificial Intelligence and Security (ICAIS2018,2019,2020,2021,2022,2023)   workshops and Academic branch of China Turing Congress(AIS 2019), technical   program committee members, CSSE 2021 International Conference co chairs, guest   editors of serval SCI journals such as Mathematics and Atmosphere, and   reviewers of many important academic journals such as IEEE Transactions on   Circuits and Systems for Video Technology 、IEEE Trans. on Geoscience and Remote Sensing、Pattern Recognition、Information Fusion、Neurocomputing、Knowledge-Based Systems、Expert Systems With Applications、Journal of Supercomputing, and so on.

Research Interests

Artificial Intelligence,  Cloud Computing，Computer Vision , Applied Meteorology，Big Data Analysis, Artificial Intelligence for Weather Forecasting, etc.

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., Sha, Y. ENSO-Former: spatiotemporal fusion network based on multivariate and dual-branch transformer for ENSO prediction[J]. Climate Dynamics,2025,63:131.(SCI)

[2]    Wei Fang, Zhong Yuan, Binglun Wang. TMC-Net: A Temporal Multivariate Correction Network in Temperature Forecasting[J]. Expert Systems With Applications.2025,274, 127015 .(SCI)

[3]    Fang Wei, Fu Haiyan A review of the application of deep learning in ENSO prediction[J]. Acta Atmospheric Sciences, 2025. (to be appeared)

[4]    W. Fang, L. Shen and V. S. Sheng. VRNet: A Vivid Radar Network for Precipitation Nowcasting[J]. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-11, 2024. (SCI)

[5]    Wei Fang, Yuxiang Fu, Victor S. Sheng. Dual Backbone Interaction Network For Burned Area Segmentation in Optical Remote Sensing Images[J], IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024. (SCI)

[6]    Yuxiang Fu, Wei Fang*, Victor S. Sheng. Burned Area Segmentation in Optical Remote Sensing Images Driven by U-shaped Multi- stage Masked Autoencoder[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 17, pp. 10770-10780, 2024. (SCI)

[7]    Wei Fang*,Yuxiang Fu,Victor S.Sheng. FPS-U2Net: Combining U2Net and Multi-levelAggregation Architecture for Fire Point Segmentation in Remote Sensing lmages[J]. Computers and Geosciences. .2024.vol 189, pp 105628. (SCI)

[8]    Zhangxiaozhi, Fang Wei *. Study on the prediction method of El Nino Southern Oscillation Based on enso-performer [J]. Acta Oceanographica Sinica, 2024, 46 (12).

[9]    Fang Wei, Zhang Xiaozhi, Qi meihan MEPM model: multivariate El Nino Southern Oscillation prediction model based on deep learning [J]. Journal of Geosciences and Environment, 2024,46 (03): 285-297.

[10] Jianghongru, Fang Wei * Review on the application of deep learning in meteorological data correction [J], Computer Applications, 2024, 44 (12): 3930-3940.

[11] Fang Wei, Dujuan, qimeihan, et al Tropical cyclone trajectory prediction method based on dstfn model [J]. Journal of Tropical Meteorology,2024, 40(6):989-1002.

[12] Zhengmengke, Fang Wei *, zhangxiaozhi Review on the application of deep learning in the prediction of Indian Ocean dipole [J]. Oceanographic Research, 2024, 42(3): 51-63.

[13] Fang Wei, Sha Yu, zhangxiaozhi ENSOMIM： A new ENSO spatiotemporal prediction model [J]. Chinese Scientific Papers,2024, 19(02):143-152+177.

[14] Fang Wei, Yuan Zhong, xueqiongying Temperature prediction based on improved diffusion model [J]. Chinese Scientific Papers,,2024, 19(02):215-223.

[15] Fang Wei, xueqiongying, taoenyi, Qi meihan Research on severe convective precipitation nowcasting based on spatio-temporal convolution [J], Meteorological Science，2024,44(3):487-497.

[16] W. Fang, L. Pang, V. S. Sheng and Q. Wang. STUNNER: Radar Echo Extrapolation Model Based on Spatio-Temporal Fusion Neural Network[J]. IEEE Transactions on Geoscience and Remote Sensing, vol. 61(4):1-14, 2023. (SCI)

[17] Wei Fang, Zhong Yuan, Xue Qiongying. SPM-Diffusion for Temperature Prediction[C].32nd International Conference on Artificial Neural Networks(ICANN 2023), Heraklion, Crete, Greece, ICANN 2023. Lecture Notes in Computer Science, vol 14262. pp 374–387 .(EI)

[18] Wei Fang, Yu Sha , Xiaozhi Zhang. Spatiotemporal model with attention mechanism for ENSO Predictions[C].32nd International Conference on Artificial Neural Networks(ICANN 2023), Heraklion, Crete, Greece,2023. Lecture Notes in Computer Science, vol 14262. pp 356–373 (EI)

[19] Fang Wei, Pang Lin, Yi Weinan Radar echo extrapolation model based on deep spatiotemporal fusion network[J]. Journal of Electronics，2023, 51(09): 2526-2538. (EI）

[20] Fang Wei, Shen Liang, zouliyao, et al A radar echo extrapolation method for short and imminent precipitation based on GCA convlstm[J]. Rainstorm Disaster, 2023,42(4):427-436.

[21] Fang Wei, Qi meihan. Research on high spatial-temporal resolution precipitation nowcasting method based on deep learning[J]. Journal of Geosciences and Environment, 2023,45(3):706-718.

[22] Fang Wei, Lijiaxin, Luwenhe. Research on satellite cloud image prediction based on 3D convolution and self-attention mechanism [J], Journal of Nanjing University Natural Science Edition, 2023, 59(1): 155-164.

[23] 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）

[24] Fang, W.; Sha, Y.; Sheng, V.S. Survey on the Application of Artificial Intelligence in ENSO Forecasting[J]. Mathematics.2022, 10(20): 3793. (SCI）

[25] Fang, W., Yi, W., Pang, L.. Study of cross-domain person re-identification based on DCGAN[J]. Multimedia Tools and Applications,2022, 81:36551–36565. (SCI）

[26] Fang, W.; Lu, W.; Li, J.;Zou, L. A Novel Tropical Cyclone Track Forecast Model Based on Attention Mechanism[J]. Atmosphere, 2022, 13(10),1607. (SCI）

[27] W. Fang, L. Shen, V. S. Sheng and Q. Xue. A novel method for precipitation nowcasting based on ST-LSTM[J]. CMC: Computers, Materials & Continua, 2022, 72(3): 4867–4877. (SCI）

[28] W. Fang, Y. Sha, M. Qi and V. S. Sheng. Movie recommendation algorithm based on ensemble learning[J]. Intelligent Automation & Soft Computing, 2022, 34(1):609–622. (SCI)

[29] Fang, W., Gu, E., Yi, W., Wang, W., Sheng, V. S. . A New Method of Image Restoration Technology Based on WGAN[J]. Computer Systems Science and Engineering. 2022, 41(2), 689–698. (SCI)

[30] Fang, W., Pang, L., Yi, W., Sheng, V. S.  AttEF: Convolutional LSTM Encoder-Forecaster with Attention Module for Precipitation Nowcasting[J]. Intelligent Automation & Soft Computing, 2021,30(2):453–466. (SCI)

[31] Fang W, Xue Q, Shen L, Sheng VS. Survey on the Application of Deep Learning in Extreme Weather Prediction[J]. Atmosphere. 2021,12(6):661. (SCI)

[32] Wei Fang, Feihong Zhang, Victor S. Sheng, Yewen Ding. SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network[J]. Neurocomputing, 2021,448: 10-20.(SCI)

[33] Fang Wei, Pang Lin, zhangfeihong, Sheng Shengli Radar echo extrapolation algorithm for adversarial short - and long-term memory networks[J]. Chinese Journal of Image and Graphics, 2021,26(05):1067-1080. (EI）

[34] Wei Fang, Feihong Zhang, Yewen Ding, Victor S. Sheng. A new sequential image prediction method based on LSTM and DCGAN[J]. CMC: Computers, Materials & Continua,2020, 64(1):217-231.(SCI)

[35] Wei Fang, Weinan Yi, Lin Pang, and Shuonan Hou. 2020. A Method of License Plate Location and Character Recognition based on CNN[J]. KSII Transactions on Internet and Information Systems, 2020,14(8): 3488-3500.(SCI)

[36] Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng. DOG ：A New Background Segmentation Recognition Method based on CNN[J]. Neurocomputing，2019,361: 85-91.（SCI) .

[37] Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng. Gesture recognition based on convolutional neural network for calculation and text output[J]. IEEE access，2019,7(1):28230-28237.（SCI)

[38] Wei Fang, Feihong Zhang, Victor S. Sheng, Yewen Ding. A Method for Improving CNN-Based Image Recognition Using DCGAN[J]. CMC: Computers, Materials & Continua, 2018, 57(1):167-178.（SCI)

[39] Wei Fang, Victor S. Sheng, XueZhi Wen. MeteCloud: Meteorological Cloud Computing Platform for Mobile Weather Forecasts based on Energy-aware Scheduling[J]. Journal of Internet Technology, 2018,19(3):959-967 (SCI).

[40] Wei Fang, XueZhi Wen, Jiang Xu, JieZhong Zhu. CSDA:a novel cluster-based secure data aggregation scheme for WSNs[J]. Cluster Computing, 2019, Vol 22:5233-5244. (SCI)

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

[42] Fang Wei, Pan Wubin, Cui Zhiming. View of MapReduce: Programming Model, Methods and it Applications[J].IETE TECHNICAL REVIEW,2012,Vol 29,5:380-387.( SCI)

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

[44] Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling. An optimal model with a lower bound of recall for imbalanced speech emotion recognition[J], Multimedia Tools and Applications , 2020.(SCI)

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

[46] 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)

[47] S. Wang, L. Qiao, W. Fang, G. Jing, V. S. Sheng et al..Air pollution prediction via graph attention network and gated recurrent unit[J].Computers, Materials & Continua, vol. 73, no.1, pp. 673–687, 2022. (SCI）

[48] X. Wen, L. Shao, Y. Xue and W. Fang, “A Rapid Learning Algorithm for Vehicle Classification”, Information Sciences[J], vol. 295, pp. 395–406, Feb. 2015.(SCI)

[49] Liumaofu, Ya Liu, Zhenguang Liu, Huijun Hu , Fang Wei. Pooling Based Quantitative Evaluation Approach to Image Binarization Algorithms[J], IEEE MultiMedia,2017,24(1):86-92（SCI)

[50] Maofu Liu , Luming Zhang, Ya Liu , Huijun Hu , Wei Fang. Recognizing semantic correlation in image-text weibo via feature space mapping[J], Computer Vision and Image Understanding,2017,163:58–66（SCI)

Textbook

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

 [2]  Wei Fang. Research on the Application of Artificial Intelligence in Meteorology. ElivaPress,2022-11-21，ISBN978-9994984138.

[3]   Wei Fang. Data Mining and Machine Learning with Applications，MDPI,2024 January，ISBN 978-3-0365-9807-9.

Projects

 "Research on short-term and impending precipitation prediction method based on multimodal meteorological data fusion", general project of National Natural Science Foundation of China in 2024 (no.42475149), 480000 yuan, under research, project leader

[2] "Research on the characteristics of typhoon track and intensity change based on deep learning", open project of State Key Laboratory of disastrous weather in 2024 (No. 2024lasw-b19), 30000 yuan, under research, project leader

[3] "Research on the short-term and impending prediction of heavy rainfall in Hubei basin based on deep learning", open research fund for the key open laboratory of heavy rainfall in the basin of China Meteorological Administration in 2023 (no.2023bhr-y14), 40000 yuan, under research, project leader

[4] "Research on key technologies for operation monitoring of a new generation of power grid object-oriented control system", science and technology information project of Guodian Nari Nanjing Control System Co., Ltd. (no.2023h581) in 2023, 400000 yuan, under research, project leader

[5] "Research on satellite remote sensing high-precision fire identification technology based on deep learning", the 2023 Alibaba Dharma Institute (Hangzhou) al earth joint innovation research plan, under research, project leader

[6] "Research on feature extraction and analysis algorithm of high frequency curve of process", Baoshan Iron and Steel Co., Ltd. unveiled its research and development project (no.2023h009) in 2022, with 380000 Yuan. Conclusion, project leader

[7] "Research and application of severe convective weather identification and prediction technology based on fy-4a meteorological satellite", open research fund for Key Open Laboratory of transportation meteorology, China Meteorological Administration (no.bjg202306), RMB 50000, under research, project leader

[8] "Research on short-term and impending precipitation forecasting method based on deep learning", open project of Jiangsu Provincial Key Laboratory of computer information processing technology in 2022 (no.kjs2275), 50000 yuan, under research, project leader

[9] "Urban forecast accuracy evaluation project", the development project entrusted by Beijing ink Fengyun Technology Co., Ltd. in 2022 (No. 2022h301), 80000 yuan, concluded, project leader

[10] "Weather radar intelligent technology application training system", the development project entrusted by Fujian Fengyun spatiotemporal Technology Co., Ltd. (No. 2022h302) in 2022, 384000 yuan, conclusion, project leader

[11] "Research on the application of deep learning in radar echo extrapolation and short-term and impending precipitation prediction", open project of State Key Laboratory of disastrous weather in 2021 (No. 2021lasw-b19), 30000 yuan, concluded, project leader

[12] "Research on radar echo extrapolation short-term and impending precipitation prediction based on sparse correspondence and depth neural network", general project of National Natural Science Foundation of China in 2020 (no.42075007), 580000 yuan, under research, project leader

[13] "Research and development of Lianchang logistics management system based on MVVM mode", a development project entrusted by Nanjing Lianchang cloud Technology Co., Ltd. (no.2020h275) in 2020, 500000 yuan, project leader

[14] "Research on cloud segmentation and recognition method based on deep learning", the 2019 open project of Jiangsu Provincial Key Laboratory of computer information processing technology (no.kjs1935), 50000 yuan, conclusion, project leader

[15] "Research on weather forecast technology based on artificial intelligence", Ministry of education Tiancheng Huizhi innovation and Education Promotion - scientific research and Innovation Fund (no.2018a03038) in 2019, 300000 yuan, conclusion, project leader

[16] "Research and development of radar and precipitation forecasting technology based on deep learning", a research and development project commissioned by Shaanxi Meteorological Bureau in 2019 (no.2020h005), 280000 yuan, conclusion, project leader

[17] "Research on Key Technologies of data security protection for general database". 2018 NSFC joint fund project (no.u1836115), 670000 yuan, conclusion, main participants

[18] "Research on Key Technologies of data security protection in cloud environment", a project funded by Jiangsu Provincial Natural Science Foundation in 2018, (No.BK20081408)， 100000 yuan, conclusion, main participants

[19] "Research on Deep Web incremental information acquisition method based on logic reinforcement learning", National Natural Science Foundation Project (no.60970015), 320000 yuan, conclusion, leader of sub project (ranking 2)

[20] "Research on logical model of incomplete knowledge processing for Deep Web", National Natural Science Foundation Project (no.60673092), 300000 yuan, final acceptance, main participant (ranking 4)

[21] "Research on Deep Web information integration system", 2009 Jiangsu basic research plan enterprise doctoral innovation project (no.bk2009563), 50000 yuan, concluded, project leader

[22] "Application of big data in smart weather research and planning", 2017 China Meteorological Administration soft science research plan project, conclusion, project leader

[23] "Research on the construction of meteorological business cloud platform and the improvement of the independent collaborative innovation ability of meteorological science and technology", 2013 China Meteorological soft science research general project (sk20120151), conclusion, project leader

[24] "Research on Deep Web uncertain pattern matching based on logic reinforcement learning", 2011 Jiangsu Provincial Department of Education University Natural Science Research General funding project (no.11kjb520010), conclusion, project leader

[25] "Regional service system for vehicle training based on cloud platform", 2016 Jiangsu Province prospective joint research project (by2016007-01), conclusion, main participants (ranking 3)

[26] "Development of thunderstorm and gale classification and recognition technology based on deep machine learning", a research and development project commissioned by Anhui Meteorological Bureau in 2017 (no.2017111154), The project cost is 50000 yuan, conclusion, project leader

[27] "Research and development of deep mining information integration system platform based on data space", major scientific and technological support and independent innovation project of Jiangsu Province in 2008 (no.be2008044), final acceptance, main participants (ranking 4)

[28] "Research on numerical weather forecast system based on inforsuite cloud virtualization technology", Shandong Province Post Doctoral innovation project special fund support project (no.201103002), conclusion, project leader

[29] "Yangzi petrochemical business cloud platform construction and application planning plan", enterprise planning project of Suzhou Institute of mathematics and urban research of Nanxin University in 2012 (no.nyf201203009), concluded, project leader

[30] "Research on Key Technologies of financial lean analysis in the big data environment", 2014 Nanjing sudie software development company project (no.2014h029), conclusion, project leader

[31] "Research on the privacy protection method of meteorological information in the cloud computing big data environment", open project (no.kfkt2014b21) of the State Key Laboratory of new technology of computer software (Nanjing University) in 2014, concluded, project leader

[32] "Research on the classification method of satellite big data cloud images based on hybrid CNN", open project (no.kfkt2018b23) of the State Key Laboratory of new technology in computer software (Nanjing University) in 2018, concluded, project leader

[33] "Research on radar image prediction technology based on LSTM and 3dcnn", open project of the State Key Laboratory of cad&cg, Zhejiang University in 2019 (no.a1916), concluded, project leader

Invention Patent

[1]    Fang Wei ,et al .An incremental information acquisition method for deep web pages, authorization date: August 7th, 2013, China, ZL201110020898.5

[2]    Fang Wei,et al. A method of image background segmentation and recognition based on convolutional neural network China, Zl201810468345.8 authorization date: April 26, 2022

[3]    Fang Wei, et al. A method of using dcgan to improve the performance of image recognition based on CNN China, zl201810467893.9 authorization date: December 7, 2021

[4]    Fang Wei, et al .Temporal image prediction method based on LSTM and dcgan Zl201910084351.8 authorization date: April 7, 2023

[5]    Fang Wei, et al ,A short-term and impending precipitation prediction method based on sparse correspondence and deep neural network, ZL 202010253414.0 authorization date: April 7, 2023

[6]    Fang Wei, et al. A convolutional long-term and short-term memory network time-space sequence prediction method improved by using the attention mechanism, ZL202011464171.1， Authorization date: August 22nd, 2023

[7]    Fang Wei, et al. A cross domain pedestrian re recognition method based on antagonistic neural network, ZL202011464169.4， Authorization date: April 26th, 2024

[8]    Fang Wei, et al. A weather radar echo extrapolation method and system based on self attention mechanism and predictive recurrent neural network, ZL2022 1 0286562.1，Authorization date: August 27th, 2024

[9]    Fang Wei ,et al. Gesture recognition method based on convolutional neural network and anti convolutional neural network Application No.: 2019100843560 January 29, 2019

[10] Fang Wei, et al. An improved short-term and impending precipitation forecasting method using random mask and transformer, application No.: 202310057412.8, January 14, 2013

[11] Fang Wei, et al. A prediction and correction method of spatial-temporal series of multiple meteorological elements using diffusion and 3dtcn, application No.: 202310043862.1, January 14, 2003

[12] Fang Wei ,et al. Identification method and system of satellite remote sensing burned area based on deep learning, application No.: 2024100249198, January 8th, 2024

[13] Fang Wei, et al. Fire point segmentation method and system of satellite remote sensing image based on deep learning, application No.: 202410024915x, January 8th, 2024

Programming Skills

l   Programming languages:  Java,C, Python,etc.

l  Scientific packages:  Pytorch

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