李圣文 (教授)

个人简历

李圣文，男，博士，教授，博士生导师，软件工程系主任，中国计算机学会(CCF)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；近年来主持和参与国家项目10项，其中主持国家自然科学基金面上项目2项，任SCI期刊Computational Urban Science编委；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] 时空大数据挖掘

主讲课程

     近年主要主讲本科生《Java软件开发》、《自然语言处理》、《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。

近期科研论文        

[1]  Zhou D, Duan Y, Li S, et al. Open-world semi-supervised relation extraction[J/OL]. Neural Networks, 2025, 186: 107266. DOI:10.1016/j.neunet.2025.107266.

[2]  Fan C, Ye Y, Yao H, et al. Activity Semantics Embedding‐Based Trajectory Similarity Computation[J/OL]. Transactions in GIS, 2025, 29(4): e70085. DOI:10.1111/tgis.70085.

[3]  Li S, Liu K, Chen R, et al. Synthesizing event semantics for geographical entity representation[J/OL]. International Journal of Geographical Information Science, 2025: 1-23. DOI:10.1080/13658816.2025.2505050.

[4]  Li S, Wu Y, Fan C, et al. Fine-grained geographic named entity recognition with few-shot learning[J/OL]. International Journal of Geographical Information Science, 2025: 1-25. DOI:10.1080/13658816.2025.2505046.

[5]  Fang F, Kang J, Li S, et al. Multi-Granularity Domain-Adaptive Teacher for Unsupervised Remote Sensing Object Detection[J/OL]. Remote Sensing, 2025, 17(10): 1743. DOI:10.3390/rs17101743.

[6]  Zhou D, Li S, Yao H. Mineral resource prediction based on representation learning[J/OL]. Expert Systems with Applications, 2025: 128286. DOI:10.1016/j.eswa.2025.128286.

[7]  Chu D, Wan B, Liu Y, et al. An integrated machine learning framework using borehole descriptions for 3D lithological modeling[J/OL]. Engineering Geology, 2025, 351: 108050. DOI:10.1016/j.enggeo.2025.108050.

[8]  Wu Y, Zeng Z, Liu K, et al. Text Geolocation Prediction via Self-Supervised Learning[J/OL]. ISPRS International Journal of Geo-Information, 2025, 14(4): 170. DOI:10.3390/ijgi14040170.

[9]  Zhou Y, Duan Y, Yao H, et al. Incorporating hydrological constraints with deep learning for streamflow prediction[J/OL]. Expert Systems with Applications, 2025, 259: 125379. DOI:10.1016/j.eswa.2024.125379.

[10]  朱瑞, 叶亚琴, 李圣文, 等. 基于层次结构嵌入的动态社区检测[J]. 计算机科学, 2025.

[11]  Chen R, Lei J, Yao H, et al. Anchor-Enhanced Geographical Entity Representation Learning[J/OL]. IEEE Transactions on Neural Networks and Learning Systems, 2025: 1-15. DOI:10.1109/TNNLS.2023.3329822.

[12]  Li S, Fan C, Li T, et al. Content-Aware Human Mobility Pattern Extraction[J/OL]. Big Data, 2024: big.2022.0281. DOI:10.1089/big.2022.0281.

[13]  Zhou D, Li S, Dong L, et al. C-KGE: Curriculum learning-based Knowledge Graph Embedding[J/OL]. Computer Speech & Language, 2024: 101689. DOI:10.1016/j.csl.2024.101689.

[14]  朱俊杰, 余丽, 李圣文, 等. 综合成分句法分析的技术名称识别[J/OL]. 计算机应用, 2024, 44(4): 1072-1079. DOI:10. 11772/j. issn. 1001-9081. 2023040532.

[15]  Zhou D, Li S, Chen Q, et al. Improving few-shot named entity recognition via Semantics induced Optimal Transport[J/OL]. Neurocomputing, 2024: 127938. DOI:10.1016/j.neucom.2024.127938.

[16]  Li S, Huang S, Cheng X, et al. Transfer Learning-Based Region Statistical Data Completion via Double Graphs[J/OL]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024: 1-11. DOI:10.1109/TETCI.2024.3406734.

[17]  Zhou, S.; Feng, Y.; Li, S.; Zheng, D.; Fang, F.; Liu, Y.; Wan, B. DSM-Assisted Unsupervised Domain Adaptive Network for Semantic Segmentation of Remote Sensing Imagery. IEEE Trans. Geosci. Remote Sensing 2023, 61, 1–16.

[18]  Zheng, D.; Li, S.; Fang, F.; Zhang, J.; Feng, Y.; Wan, B.; Liu, Y. Utilizing Bounding Box Annotations for Weakly Supervised Building Extraction From Remote-Sensing Images. IEEE Trans. Geosci. Remote Sensing 2023, 61, 1–17.

[19]  Ye, Y.; Xiao, Y.; Zhou, Y.; Li, S.; Zang, Y.; Zhang, Y. Dynamic multi-graph neural network for traffic flow prediction incorporating traffic accidents. Expert Systems with Applications 2023, 234, 121101.

[20]  Wan, B.; Dong, S.; Chu, D.; Li, H.; Liu, Y.; Fu, J.; Fang, F.; Li, S.; Zhou, D. A deep neural network model for coreference resolution in geological domain. Information Processing & Management 2023, 60, 103268.

[21]  Li, S.; Yang, W.; Huang, S.; Chen, R.; Cheng, X.; Zhou, S.; Gong, J.; Qian, H.; Fang, F. A hierarchical constraint-based graph neural network for imputing urban area data. International Journal of Geographical Information Science 2023, 1–22.

[22]  Fang, F.; Xu, R.; Li, S.; Hao, Q.; Zheng, K.; Wu, K.; Wan, B. Semi-supervised building instance extraction from high-resolution remote sensing imagery. IEEE Trans. Geosci. Remote Sensing 2023, 1–1.

[23]  Chen, Q.; Yao, H.; Zhou, D.; Li, S.; Dong, L. Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation. Computers & Geosciences 2023, 178, 105416.

[24]  Chen, Q.; Yao, H.; Li, S.; Li, X.; Kang, X.; Lai, W.; Kuang, J. Fact-condition statements and super relation extraction for geothermic knowledge graphs construction. Geoscience Frontiers 2023, 14, 101412.

[25]  Li, S.; Sun, C.; Chen, R.; Li, X.; Liang, Q.; Gong, J.; Yao, H. Location-aware neural graph collaborative filtering. International Journal of Geographical Information Science 2022, 36, 1550–1574.

[26]  Li, S.; Chen, R.; Sun, C.; Yao, H.; Cheng, X.; Li, Z.; Li, T.; Kang, X. Region-aware neural graph collaborative filtering for personalized recommendation. International Journal of Digital Earth 2022, 15, 1446–1462.

[27]  Fang, F.; Zheng, D.; Li, S.; Liu, Y.; Zeng, L.; Zhang, J.; Wan, B. Improved Pseudomasks Generation for Weakly Supervised Building Extraction from High-Resolution Remote Sensing Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022, 15, 1629–1642.

[28]  Fang, F.; Zeng, L.; Li, S.; Zheng, D.; Zhang, J.; Liu, Y.; Wan, B. Spatial context-aware method for urban land use classification using street view images. ISPRS Journal of Photogrammetry and Remote Sensing 2022, 192, 1–12.

[29]  Zhang, X.; Zhang, Z.-K.; Wang, W.; Hou, D.; Xu, J.; Ye, X.; Li, S. Multiplex network reconstruction for the coupled spatial diffusion of infodemic and pandemic of COVID-19. International Journal of Digital Earth 2021, 14, 401–423.

[30]  Ye, X.; Li, S.; Peng, Q. Measuring interaction among cities in China: A geographical awareness approach with social media data. Cities 2021, 109, 103041.

[31]  Ye, X.; Gong, J.; Li, S. Analyzing Asymmetric City Connectivity by Toponym on Social Media in China. Chin. Geogr. Sci. 2021, 31, 14–26.

[32]  Li, S.; Li, B.; Yao, H.; Zhou, S.; Zhu, J.; Zeng, Z. Completing WordNets with Sememe Knowledge. Electronics 2021, 11, 79.

[33]  Lee, J.; Li, S.; Wang, S.; Wang, J.; Li, J. Spatio-Temporal Nearest Neighbor Index for Measuring Space-Time Clustering among Geographic Events. Papers in Applied Geography 2021, 7, 117–130.

[34]  Gong, J.; Li, S.; Ye, X.; Peng, Q.; Kudva, S. Modelling impacts of high-speed rail on urban interaction with social media in China’s mainland. Geo-spatial Information Science 2021, 24, 638–653.

[35]  Fang, F.; Yu, Y.; Li, S.; Zuo, Z.; Liu, Y.; Wan, B.; Luo, Z. Synthesizing location semantics from street view images to improve urban land-use classification. International Journal of Geographical Information Science 2021, 35, 1802–1825.

[36]  Fang, F.; Wu, K.; Liu, Y.; Li, S.; Wan, B.; Chen, Y.; Zheng, D. A Coarse-to-Fine Contour Optimization Network for Extracting Building Instances from High-Resolution Remote Sensing Imagery. Remote Sensing 2021, 13, 3814.

[37] Dong, L.; Yao, H.; Li, D.; Wang, Y.; Li, S.; Liang, Q. Improving graph neural network via complex-network-based anchor structure. Knowledge-Based Systems 2021, 233, 107528. 

联系方式