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李 向：男,1970年9月生,博士,副教授,1996-至今,中国地质大学计算机学院任教；2021年-2023年咸宁市政务服务和大数据局，副局长。 每年可招研究生2名，有兴趣的同学可以电话或者邮箱联系(lixiang@cug.edu.cn). 一、教育经历: 1992.9-1996.6 ,中国地质大学（武汉）,工学学士学位； 1998.9-2003.6 ,中国地质大学（武汉）,工学硕士学位； 2004.9-2008.6 ,中国地质大学（武汉）,工学博士学位； 2005.2-2005.7 ,四川大学出国培训部学习出国英语； 2009.12-2010.12,阿拉巴马大学（美国）,国家公派访问学者。 二、近几年代表性论文：[1]Li Xiang, Wang Lingling.On the study of fusion techniques for bad geological remote sensing image[J]. Journal of Ambient Intelligence and Humanized Computing. 2015, 6(1):141-149（SCI:000351243300012,EI:20150600497297）T4[2]Li Xiang,Wang Ge.Optimal Band Selection for Hyperspectral Data with Improved Differential Evolution[J]. Journal of Ambient Intelligence and Humanized Computing. 2015, 6(5):675-688（SCI:0003630419000161243300012,EI:20154301421416）T4[3]Li Guo, Xiang Li and Wenyin Gong.Ranking-based differential evolution for large-scale continuous optimization[J]. COMPUTING AND INFORMATICS,2018,37( 1) :1001-1027 EI检索T4(博士研究生)[4]XiangLi,HaoZhang. Identification of Remote Sensing Image of Adverse Geological Body based on Classification[J].Journal of Computational and Theoretical Nanoscience.2015,13（6）: 3790-3798 EI. SCI（BIC-TA 2015,BIO-INSPIRED COMPUTING - THEORIES AND APPLICATIONS,562:232-241）T4[5]Chen G, Li X, Liu L. A Study on the Recognition and Classification Method of High Resolution Remote Sensing Image Based on Deep Belief Network[M]// Bio-inspired Computing – Theories and Applications. Springer Singapore, 2016:362-370.（SCI/EI）(硕士研究生)[6]Xu H, Li X, Gong W. Research on recognition of landslides with remote sensing images based on extreme learning machine[C]//2017 IEEE international conference on computational science and engineering (CSE) and IEEE international conference on embedded and ubiquitous computing (EUC). IEEE, 2017, 1: 740-747.(硕士研究生)[7]Wang L, Gong W, Li X. Remote Sensing Identification of Black Cotton Soil based on Deep Belief Network[J]. International Journal of Performability Engineering, 2018, 14(11): 2820.(博士研究生)[8]Chen G, Cai Z, Li X. Recognition and Classification of High Resolution Remote Sensing Image based on Convolutional Neural Network[J]. International Journal of Performability Engineering, 2018, 14(11): 2852.(博士研究生)[9]Chen G, Cai Z, Li X. Classification of remote sensing images based on distributed convolutional neural network model[J]. International Journal of Performability Engineering, 2019, 15(6): 1508.(博士研究生)[10]Wang, L. , Gong, W. , & Li, X. . (2019). Deep Convolutional Neural Network and Its Application in Image Recognition of Road Safety Projects. International Journal of Performability Engineering, 15(8):2182-2192. DOI: 10.23940/ijpe.19.08.p18.21822189(博士研究生)[11]Liu, H., Li, X. & Gong, W. Rethinking the differential evolution algorithm. SOCA 14, 79–87 (2020). https://doi.org/10.1007/s11761-020-00286-x(博士研究生)[12]Qin, Cifeng, Wenyin Gong and Xiang Li. “Research on the Image Description Algorithm of Double-Layer LSTM Based on Adaptive Attention Mechanism.” Mathematical Problems in Engineering (2022): n. pag. [13]Liu, Hongwei & Li, Xiang & Gong, Wenyin. (2022). Research on Detection and Recognition of Traffic Signs Based on Convolutional Neural Networks. International Journal of Swarm Intelligence Research. 13. 10.4018/IJSIR.302614. (Ei,T4)[14]Qin, Cifeng, Wenyin Gong and Xiang Li. “Research on the Image Description Algorithm of Double-Layer LSTM Based on Adaptive Attention Mechanism.” Mathematical Problems in Engineering (2022): n. pag.(SCI,T4)[15]Zhang, Yiming and Xiang Li. “Yolo-Based Improvements in Remote Sensing Image Applications.” Mathematical Problems in Engineering (2022): n. pag.(SCI,T4)[16]Li, Yanchi, Guanyu Chen and Xiang Li. “Automated Recognition of Chemical Molecule Images Based on an Improved TN...

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