李圣文 (副教授)

个人简历

李圣文，男，软件工程系主任，副教授，博士，硕士生导师，中国计算机学会(CCF)会员，AAG会员。2000年7月-至今，任教于中国地质大学（武汉）计算机学院软件工程系；2015年1月-2016年1月，赴KSU访问学习一年。近年来主持和参与国家自然科学基金面上项目、国家重点研发计划等项目6项；出版专著1部，教材3部；指导学生在全国高校互联网应用创新大赛等获奖多项。

研究方向    

   [1] 机器学习（自然语言处理方向）

   [2] 知识图谱

   [3] 时空大数据挖掘

主讲课程

     近年主要主讲本科生《Java与.Net软件开发》、《Web软件开发》、《计算机网络》、《软件测试》、《面向对象软件工程》、《软件工程专业前沿文献》及研究生《高级程序设计》、《知识图谱》等课程及相关实习实践课程。

近年科研论文        

[1]  S. Li, R. Chen, C. Sun, H. Yao, X. Cheng, Region-aware neural graph collaborative filtering for personalized recommendation, Int. J. Digit. Earth ISSN. 15 (2022) 1446–1462. https://doi.org/10.1080/17538947.2022.2113463.

[2]  S. Li, C. Sun, R. Chen, X. Li, Q. Liang, J. Gong, H. Yao, Location-aware neural graph collaborative filtering, Int. J. Geogr. Inf. Sci. 36 (2022) 1550–1574. https://doi.org/10.1080/13658816.2022.2073594.

[3]  F. Fang, L. Zeng, S. Li^*, D. Zheng, J. Zhang, Spatial context-aware method for urban land use classification using street view images, ISPRS J. Photogramm. Remote Sens. 192 (2022) 1–12. https://doi.org/10.1016/j.isprsjprs.2022.07.020.

[4]  Q. Chen, H. Yao, S. Li, X. Li, X. Kang, W. Lai, J. Kuang, Fact-condition statements and super relation extraction for geothermic knowledge graphs construction, Geosci. Front. (2022) 101412. https://doi.org/10.1016/j.gsf.2022.101412.

[5]  S. Li, B. Li, H. Yao, Z. Zeng, S. Zhou, J. Zhu, Completing wordnets with sememe knowledge, Electron. 11 (2022) 1–15. https://doi.org/10.3390/electronics11010079.

[6]  X. Zhang, Y. Zheng, X. Ye, Q. Peng, W. Wang, S. Li, Clustering with implicit constraints: A novel approach to housing market segmentation, Trans. GIS. 26 (2022) 585–608. https://doi.org/10.1111/tgis.12878.

[7]  F. Fang, D. Zheng, S. Li, Y. Liu, L. Zeng, J. Zhang, B. Wan, Improved Pseudomasks Generation for Weakly Supervised Building Extraction from High-Resolution Remote Sensing Imagery, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 15 (2022) 1629–1642. https://doi.org/10.1109/JSTARS.2022.3144176.

[8]  L. Dong, H. Yao, D. Li, Y. Wang, S. Li, Q. Liang, Improving graph neural network via complex-network-based anchor structure, Knowledge-Based Syst. 233 (2021) 107528. https://doi.org/10.1016/j.knosys.2021.107528.

[9]  J. Gong, S. Li, X. Ye, Q. Peng, S. Kudva, Modelling impacts of high-speed rail on urban interaction with social media in China’s mainland, Geo-Spatial Inf. Sci. 24 (2021) 638–653. https://doi.org/10.1080/10095020.2021.1972771.

[10]  F. Fang, K. Wu, Y. Liu, S. Li, B. Wan, Y. Chen, D. Zheng, A Coarse-to-Fine Contour Optimization Network for Extracting Building Instances from High-Resolution Remote Sensing Imagery, Remote Sens. 13 (2021) 3814. https://doi.org/10.3390/rs13193814.

[11]  X. Ye, S. Li, Q. Peng, Measuring interaction among cities in China: A geographical awareness approach with social media data, Cities. 109 (2021) 103041. https://doi.org/10.1016/j.cities.2020.103041.

[12]  X. Ye, J. Gong, S. Li^*, Analyzing Asymmetric City Connectivity by Toponym on Social Media in China, Chinese Geogr. Sci. 31 (2021) 14–26. https://doi.org/10.1007/s11769-020-1172-6.

[13]  J. Lee, S. Li, S. Wang, J. Wang, J. Li, Spatio-Temporal Nearest Neighbor Index for Measuring Space-Time Clustering among Geographic Events, Pap. Appl. Geogr. 7 (2021) 117–130. https://doi.org/10.1080/23754931.2020.1810112.

[14]  S. Li, R. Chen, B. Wan, J. Gong, L. Yang, H. Yao, DAWE: A Double Attention-Based Word Embedding Model with Sememe Structure Information, Appl. Sci. 10  (2020) 5804. https://doi.org/10.3390/app10175804.

[15]  J. Gong, J. Lee, S. Zhou, S. Li*, Toward Measuring the Level of Spatiotemporal Clustering of Multi-Categorical Geographic Events, ISPRS Int. J. Geo-Information. 9  (2020) 440. https://doi.org/10.3390/ijgi9070440.

[16]  X. Kang, B. Li, H. Yao, Q. Liang, S. Li, J. Gong, X. Li, Incorporating Synonym for Lexical Sememe Prediction : An Attention-Based Model, Appl. Sci. (2020). https://doi.org/10.3390/app10175996.

[17]  W. Zhen, L. Yang, M. Kwan, Z. Zuo, B. Wan, S. Zhou, S. Li, Y. Ye, H. Qian, X. Pan, Capturing what human eyes perceive : A visual hierarchy generation approach to emulating saliency-based visual attention for grid-like urban street networks, Comput. Environ. Urban Syst. 80 (2020) 101454. https://doi.org/10.1016/j.compenvurbsys.2019.101454.

[18]  J. Gong, S. Li, B. Wan, A Regional Approach to Assessing and Visualizing Spatiotemporal Clustering of Crime Events, Pap. Appl. Geogr. 5 (2019) 1–19. https://doi.org/10.1080/23754931.2019.1611625.

[19]  J. Gong, R. Li, H. Yao, X. Kang, S. Li*, Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning, Int. J. Environ. Res. Public Health. 16 (2019) 3955.

[20]  J. Gong, S. Li, J. Lee, Space, time, and disease on social media: a case study of dengue fever in China, Geomatica. 72 (2019) 112–126. https://doi.org/10.1139/geomat-2018-0016.

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