单维锋 (Weifeng Shan)

 

Professor

School of Emergency Management, Institute of Disaster Prevention

Langfang, Hebei 065201, China

E-mail: william.shan@gmail.com

[Google Scholar] [GitHub] [Researchgate] [ORCID] [百度百科]

Research interests

Deep learning, Machine Learning, Swarm intelligence algorithm, Evolutionary algorithm, Earthquake prediction, Emergency Management, Big data visualization

Education

Experience

publication

  1. 李良超,刘海军,单维锋,雷东兴,袁静. 地磁时变观测数据中高压直流输电干扰事件多尺度表示及识别方法 [J]. 地球物理学报, 2024, 67 (03): 969-981.（SCI）
  2. 刘海军,雷东兴,袁静,乐会军,单维锋. 基于注意力机制LSTM的电离层TEC预测 [J]. 地球物理学报, 2024, 67 (02): 439-451.（SCI）
  3. Liangchao Li, Haijun Liu, Huijun Le, Jing Yuan, Haoran Wang, Yi Chen, Weifeng Shan, Li Ma, Chunjie Cui. ED‐AttConvLSTM: An ionospheric TEC map prediction model using adaptive weighted spatiotemporal featuresn[J]. Space Weather,2024,22(3):e2023SW003740.（SCI）
  4. He X, Shan W*, Zhang R, Heidari A A, Chen H, Zhang Y. Improved Colony Predation Algorithm Optimized Convolutional Neural Networks for Electrocardiogram Signal Classification[J]. Biomimetics.2023,8(3):268.https://doi.org/10.3390/biomimetics8030268（SCI）
  5. Li L, Liu H, Le H; Yuan J, Shan W, Han Y, Yuan G, Cui C, Wang J. Spatiotemporal Prediction of Ionospheric Total Electron Content Based on ED-ConvLSTM[J]. Remote Sensing.2023,15(12):3064.https://doi.org/10.3390/rs15123064（SCI）
  6. Hu H, Shan W*, Chen J, Xing L, Heidari A A, Chen H*, He X, Wang M. Dynamic Individual Selection and Crossover Boosted Forensic-Based Investigation Algorithm for Global Optimization and Feature Selection[J]. Journal of Bionic Engineering.2023,20(5):2416–2442.https://doi.org/10.1007/s42235-023-00367-5（SCI）
  7. 单维锋,闫非石,刘海军,李志扬,刘高川,陈俊. 基于深度学习的地磁观测数据高压直流输电干扰事件识别[J]. 地球物理学报.2023,66(4):1575-1455.https://doi.org/10.6038/cjg2022Q0110（SCI）
  8. Shan W, He X, Liu H, Heidari A A, Wang M, Cai Z, Chen H*. Cauchy mutation boosted Harris hawk algorithm: Optimal performance design and engineering applications[J]. Journal of Computational Design and Engineering. 2023,10(2):503-526. https://doi.org/10.1093/jcde/qwad002. (SCI)
  9. 单维锋，李志扬等.应用卷积神经网络和自注意力机制识别地磁场干扰事件.地震地磁观测与研究.2022,43(5):49-63
  10. Hu H, Shan W*, Tang Y, Heidari A A, Chen H*, Liu H, Wang M, Escorcia-Gutierrez J, Mansour R F, Chen J. Horizontal and Vertical Crossover of Sine Cosine Algorithm with Quick Moves for Optimization and Feature Selection[J]. Journal of Computational Design and Engineering, 2022,9(6):2524–2555. https://doi.org/10.1093/jcde/qwac119. (SCI)
  11. Shan W, Zhang M, Wang M, Chen H, Zhang R, Yang G, Tang Y, Teng Y, Chen J. EPM-DCNN: Earthquake Prediction Models Using Deep Convolutional Neural Networks[J]. Bulletin of the Seismological Society of America,2022,112(6):2933–2945.https://doi.org/10.1785/0120220058. (SCI)
  12. Shan W, Hu H, Cai Z, Chen H, Liu H, Wang M, et al. Multi-strategies Boosted Mutative Crow Search Algorithm for Global Tasks: Cases of Continuous and Discrete Optimization. Journal of Bionic Engineering. 2022,19(6):1830-1849. https://doi.org/10.1007/s42235-022-00228-7. (SCI)
  13. Shan W, Qiao Z, Heidari AA, Gui W, Chen H, Teng Y, et al. An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis. Computers in Biology and Medicine. 2022,146:105563.https://doi.org/10.1016/j.compbiomed.2022.105563. (SCI)
  14. Qiao Z, Shan W*, Jiang N, Heidari AA, Chen H, Teng Y, et al. Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns. International Journal of Intelligent Systems. 2022,37(6):3193-254. https://doi.org/10.1002/int.22658. (SCI)
  15. Liu G, Shan W*, Chen J, Che M, Teng Y, Huang Y. Automatic classification and recognition of geomagnetic interference events based on machine learning. Journal of Computational Methods in Sciences and Engineering. 2022,22(4):1157-70. https://doi.org/10.3233/JCM-226015. (EI)
  16. Shan W, Li J, Teng Y, Chen H, Li Z, Wang M. A Progressive Real-time Visualization Method for Earthquake Big Data. Journal of Computers. 2022;33(1):87-100. https://doi.org/10.53106/199115992022023301009. (EI)
  17. 王茂发,章赫,黄鸿亮,单维锋,龚启舟,冷志雄.BiLSTM与多头注意力机制结合的生成式中文自动文摘[J].山西大学学报(自然科学版),2022,45(04):996-1003.
  18. Shan W, Qiao Z, Heidari AA, Chen H, Turabieh H, Teng Y. Double adaptive weights for stabilization of moth flame optimizer: balance analysis, engineering cases, and medical diagnosis. Knowledge-Based Systems. 2021,214:106728. https://doi.org/10.1016/j.knosys.2020.106728. (SCI)
  19. Shan W, Wang Z, Teng Y, Wang M. Temporal and Spatial Evolution Analysis of Earthquake Events in California and Nevada Based on Spatial Statistics. ISPRS International Journal of Geo-Information. 2021,10(7):465. https://doi.org/10.3390/ijgi10070465. (SCI)
  20. 王志浩,单维锋*,滕云田:中国地震科学试验场地震时空演变规律研究[J].世界地震工程,2021,37(2):223-231
  21. 杨玉,吴云龙,姚运生,单维锋.采用长短时记忆网络训练的卫星重力数据粗差探测方法与应用[J].地震地质,2021,43(05):1326-1338.
  22. 杨冠泽,单维锋*.地震前兆大数据可视化相似度评价技术研究[J].防灾科技学院学报,2020,22(03):42-46.
  23. 刘海军,单维锋,耿贵珍.基于溶解氡数据和长短期记忆网络的地震预报[J].科学技术与工程,2020,20(10):4029-4035.
  24. 单维锋,滕云田,刘海军,杨冠泽.大数据环境下地震观测数据存储方案研究[J].中国地震,2019,35(03):558-564.
  25. 单维锋,李军,石云.Baytap-G潮汐分析辅助软件的设计与实现[J].大地测量与地球动力学,2017,37(06):644-646.
  26. 单维锋,廖湖声,王茂发,刘海军.基于模型检测技术的XML乐观并发控制协议[J].计算机应用研究,2017,34(11):3237-3241.
  27. Liao H, Shan W*. FOCCX: an optimistic concurrency control protocol over XML. International Journal of Database Theory and Application. 2015;8(2):215-22.(EI)
  28. Shan W, Liao H. XML Optimistic Concurrency Control Protocol for DOM API. 2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming; 2014: IEEE.(EI)
  29. Shan W, Liao H, Jin X. XML Concurrency Control Protocols: A Survey. International Conference on Web-Age Information Management; 2012: Springer.(EI)

Funding

  1. 2022-2024, Shan W, Liu H, Li Z, Zhang R. Natural Science Foundation of Hebei Province,Research on deep learning method of HVDC transmission interference recognition based on swarm intelligence algorithm, D2022512001.
  2. 2022-2025, Wang M, Shan W. National Natural Science Foundation of China,Research on strong robust vectorization of analogue seismograms based on deep meta learning,42164002.
  3. 2018-2021, Shan W. National Key R&D Program of China,Application of big data processing technology in earthquake precursor information mining, 2018YFC1503806-07.
  4. 2016-2019,Shan W, Spark Program of Earthquake Science and Technology,Research and application of rapid visualization technology for massive seismic data based on cloud computing,XH16059.
  5. 2016-2019, Shan W,Hebei Science and Technology Support Program,Research on automatic identification algorithm of precursory anomalies in fluid observation data based on big data technology,16210126.

MS students