- Hu, S., Yang, Z., Xing, H., Chen, Z., Liu, W., Ao, Z., ... & Li, J. (2024). Identifying urban villages: an attention-based deep learning approach that integrates remote sensing and street-level images. International Journal of Geographical Information Science, 1-23.（第一作者，中科院一区）
- Hu, S., Xing, H., Luo, W., Wu, L., Xu, Y., Huang, W., ... & Li, T. (2023). Uncovering the association between traffic crashes and street-level built-environment features using street view images. International Journal of Geographical Information Science, 37(11), 2367-2391.（第一作者，中科院一区）
- Hu, S., Xu, Y., Wu, L., Wu, X., Wang, R., Zhang, Z., ... & Mao, W. (2021). A framework to detect and understand thematic places of a city using geospatial data. Cities, 109, 103012.（唯一第一作者，中科院一区）
- Hu, S., Gao, S., Wu, L., Xu, Y., Zhang, Z., Cui, H., & Gong, X. (2021). Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach. Computers, Environment and Urban Systems, 87, 101619.（第一作者，高被引论文，中科院一区）
- Hu, S., He, Z., Wu, L., Yin, L., Xu, Y., & Cui, H. (2020). A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data. Computers, Environment and Urban Systems, 80, 101442.（第一作者，中科院一区）
- Hu, S., Gao, S., Luo, W., Wu, L., Li, T., Xu, Y., & Zhang, Z. (2023). Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data. Annals of GIS, 29(4), 499-516.（第一作者，中科院三区）
- Xu, Y., Mao W., & Hu, S.*, (2025) Unveiling the pulse of urban metro stations: a TOD-driven approach to measuring vibrancy using geographically weighted random forest, International Journal of Digital Earth, 18:1, 2524054, DOI: 10.1080/17538947.2025.2524054（通讯作者，中科院二区）
- Gong, X., Li, T., Wang, R., Hu, S.*, & Yuan, S. (2025). Beyond the Remote Sensing Ecological Index: A Comprehensive Ecological Quality Evaluation Using a Deep-Learning-Based Remote Sensing Ecological Index. Remote Sensing, 17(3), 558.（通讯作者，中科院二区）
胡胜，华南师范大学特聘副研究员、硕士研究生导师、在站博士后，从事城市大数据智能理解和分析、城市空间结构建模与应用研究。发展了地理空间主题词向量、街道功能语义识别、城市感知区域提取等模型与方法，相关成果在国内外权威期刊International Journal of Geographical Information Science、Computers, Environment and Urban Systems、Cities等以第一作者或通讯作者发表论文9篇（1篇ESI高被引论文），Google Scholar总被引次数 747次，单篇最高被引用149次（https://scholar.google.com/citations?user=eHpSMiwAAAAJ，截止2025.7.1）。曾获全国高校GIS新秀、CPGIS International Conference on Geoinformatics最佳学生论文奖等，担任IJGIS、CEUS和GeoInformatica等多个国内外期刊的审稿人。曾在新加坡国立大学骆威教授团队进行为期1年的博士联合培养，期间系统学习了地理人工智能、城市空间建模与分析相关技术和方法。目前主持博士后面上资助、广东省青年基金、教育部人文社科青年基金等项目。 谷歌学术：https://scholar.google.com/citations?user=eHpSMiwAAAAJ&hl=en ResearchGate：https://www.researchgate.net/profile/Sheng-Hu-17
