个人简介

南京大学空间地球科学研究院助理教授，特聘研究员，博士生导师。

本科毕业于中国地质大学（武汉）信息工程专业（2014-2018），博士毕业于北京大学地图学与地理信息系统专业（2018-2023）。博士毕业后在北京大学遥感所继续从事博士后研究工作（2023-2025）。

曾获得中国地质大学(武汉)李四光计划，北京大学优秀博士论文，北京大学优秀毕业生，北京大学博雅博士后，博士后创新人才支持计划等荣誉，累计发表文章30余篇。

现任：

Resources, Environment and Sustainability青年编委

Electronics专题编辑

Remote Sensing 专题编辑

担任课程

《空间分析》（研）

欢迎计算机科学，地理信息系统， 遥感领域的同学加入课题组，有意向请联系baoyi@nju.edu.cn

研究领域

地球大数据、城市可持续发展、GeoAI

学术成果

主持项目：
♦博士后创新人才支持计划 “ 基于深度学习的高分辨率建成环境物质存量时空演化及人-地关系动态模拟” (2024-2025)

♦国家自然科学基金青年项目 “顾及大范围与高分辨率的全国城市建成环境物质存量估算方法及应用” (2025-2027)

♦国家重点研发计划子课题 “重点项目安全事件多模态信息全局协同分析技术”(2024-2026)

♦中国博士后科学基金第77批面上资助“融合多源地理大数据的长时序城市物质存量精细化估算与格局演变研究”（2024-2025）

♦武汉大学测绘遥感信息工程国家重点实验室开放基金“面向灾害监测预警的多模态知识图谱构建与协同分析”（2024-2026）

发表文章列表：

1. Bao, Y., Huang, Z., Li, L., Wang, Y. & Liu, Y. A BiLSTM-CNN model for predicting users’ next locations based on geotagged social media. International Journal of Geographical Information Science 35, 639–660 (2021).

2. 鲍毅, 黄舟, 郭庆华, & 刘瑜. 城市建成环境存量的空间计算: 进展及展望. 遥感学报 26, 1909–1919 (2022).

3. Bao, Y., Gui, Z., Sun, Z., An, Z. & Huang, Z. Spatial blockchain: Enhancing spatial queries and applications through integrating blockchain and spatial database technologies. Electronics 12, 4287 (2023).

4. Bao, Y., Huang, Z., Gong, X., Zhang, Y., Yin, G. & Wang, H. Optimizing segmented trajectory data storage with HBase for improved spatio-temporal query efficiency. International Journal of Digital Earth 16, 1124–1143 (2023).

5. Bao, Y., Huang, Z., Li, L., Wang, H., Lin, J. & Liu, G. Evaluating the human use efficiency of urban built environment and their coordinated development in a spatially refined manner. Resources, Conservation and Recycling 189, 106723 (2023).

6. Bao, Y., Huang, Z., Mao, R., Liu, G., Wang, H. & Yin, G. High-resolution mapping of material stocks in the built environment across 50 Chinese cities. Resources, Conservation and Recycling 199, 107232 (2023).

7. Bao, Y., Huang, Z., Wang, H., Yin, G., Zhou, X. & Gao, Y. High-resolution quantification of building stock using multi-source remote sensing imagery and deep learning. Journal of Industrial Ecology 27, 350–361 (2023).

8. Huang, Z.#, Bao, Y.#, Mao, R.#, Wang, H., Yin, G., Wan, L., Qi, H., Li, Q., Tang, H., Liu, Q., & others. Big geodata reveals spatial patterns of built environment stocks across and within cities in China. Engineering 34, 143–153 (2024).

9. Yin, G., Feng, Y., Jiang, Y. & Bao, Y.* A scene–object–economy framework for identifying and validating urban–rural fringe using multisource geospatial big data. Applied Sciences 14, 10191 (2024).

10. Bao, Y., Du, H., Huang, Z., Ren, S., Yin, G. & Mao, R. Assessing and mitigating the carbon emissions from illegal urban buildings: A spatial lifecycle analysis. Resources, Conservation and Recycling 215, 108097 (2025).

11. Bao, Y., Huang, Z., Yin, G., Ren, S., Yan, X. & Qi, J. Quantifying the impact of building material stock and green infrastructure on urban heat island intensity. Building and Environment 113068 (2025).

12. Peng, X., Wu, Y., Gui, Z., Liu, Y., Huang, Z. & Bao, Y.* Dynamic graph attention network for local leisure event recommendation in event-based social networks. International Journal of Digital Earth 18, 2534016 (2025).

13. Zheng, J., Huang, Z., Bao, Y.*, Ren, S., Yan, X., Scheuer, B., ... & Yin, G. (2026). Mining travel carbon emission patterns and evaluating equity in public transportation based on smart card data. International Journal of Digital Earth, 19(1), 2616573.

14. Zhang, Z., Bao, Y.*, Chen, N., Zhang, Y., & Huang, Z. (2026). IceCT: A MoE‐based model for seasonal Arctic sea ice concentration and thickness prediction. Journal of Geophysical Research: Machine Learning and Computation, 3(1), e2025JH001010.

15. Lu, L., Huang, Z., Bao, Y.*, Wan, L., & Li, Z. (2026). Multimodal large language models meet self-supervised diffusion for real-world aerial image super-resolution. International Journal of Applied Earth Observation and Geoinformation, 146, 105136.

16. Mao, R., Bao, Y., Huang, Z., Liu, Q. & Liu, G. High-resolution mapping of the urban built environment stocks in Beijing. Environmental science & technology 54, 5345–5355 (2020).

17. Peng, X., Bao, Y. & Huang, Z. Perceiving Beijing’s “city image” across different groups based on geotagged social media data. Ieee Access 8, 93868–93881 (2020).

18. Li, Z., Guo, Z., Chen, Z., Poulton, S., Bao, Y., Zhao, L. & Zhang, F. A novel carbon cycle turbulence index identifies environmental and ecological perturbations. Geochemical Perspectives Letters 20, 11–15 (2021).

19. Mao, R., Bao, Y., Duan, H. & Liu, G. Global urban subway development, construction material stocks, and embodied carbon emissions. Humanities and Social Sciences Communications 8, 1–11 (2021).

20. Wang, H., Huang, Z., Yin, G., Bao, Y., Zhou, X. & Gao, Y. Gwrboost: a geographically weighted gradient boosting method for explainable quantification of spatially-varying relationships. arXiv preprint arXiv:2212.05814 (2022).

21. Wang, H., Huang, Z., Zhou, X., Yin, G., Bao, Y. & Zhang, Y. Doufu: a double fusion joint learning method for driving trajectory representation. Knowledge-Based Systems 258, 110035 (2022).

22. Zhou, X., Huang, Z., Wang, H., Yin, G., Bao, Y., Dong, Q. & Liu, Y. Site selection for hybrid offshore wind and wave power plants using a four-stage framework: A case study in Hainan, China. Ocean & Coastal Management 218, 106035 (2022).

23. Zhou, X., Wang, H., Huang, Z., Bao, Y., Zhou, G. & Liu, Y. Identifying spatiotemporal characteristics and driving factors for road traffic CO2 emissions. Science of The Total Environment 834, 155270 (2022).

24. Ren, S., Huang, Z., Bao, Y., Yin, G., Yang, J. & Shan, X. Matching end-of-life household vehicle generation and recycling capacity in Chinese cities: A spatio-temporal analysis for 2022–2050. Science of the Total Environment 899, 165498 (2023).

25. Yin, G., Huang, Z., Bao, Y., Wang, H., Li, L., Ma, X. & Zhang, Y. ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects. GeoInformatica 27, 137–157 (2023).

26. Yin, G., Huang, Z., Fu, C., Ren, S., Bao, Y. & Ma, X. Examining active travel behavior through explainable machine learning: Insights from Beijing, China. Transportation Research Part D: Transport and Environment 127, 104038 (2024).

27. Lu, L., Huang, Z., Bao, Y., Wan, L. & Li, Z. Multi-level priors-guided diffusion-based remote sensing image super-resolution. ISPRS Journal of Photogrammetry and Remote Sensing 228, 756–770 (2025).

28. Ren, S., Huang, Z., Yin, G., Yan, X., Dong, Q., Qi, J., Zheng, J., Bao, Y. & Zhang, S. Spatially-optimized greenspace for more effective urban heat mitigation: Insights from regional cooling heterogeneity via explainable machine learning. Landscape and Urban Planning 256, 105296 (2025).

29. Ren, S., Yan, X., Yin, G., Zheng, J., Qi, J., Zhang, H., Li, X., Bao, Y., & others. Background environment mitigate heat islands from inadequate urban green coverage while amplifying socioeconomic thermal inequities. Sustainable Cities and Society 106815 (2025).

30. Yin, G., Fu, C., Ren, S., Yan, X., Qi, J., Bao, Y. & Huang, Z. Traffic prediction and road space optimization for the integration of dockless bike-sharing and subway. Sustainable Cities and Society 121, 106162 (2025).

31. Zhou, X., Wang, T., Zhang, X., Bao, Y., Wu, J., Chen, X., Lu, Y. & Zhou, G. Assessing carbon sink potentials in the built environment: A study of 40 Chinese cities using a bottom-up high-resolution approach. Journal of Cleaner Production 519, 146058 (2025).

32. Yin, G., Huang, Z., Ren, S., Tang, M., Yan, X., Zheng, J., Qi, J., Bao, Y. & Ma, X. Balancing efficiency and emissions through travel mode shifts: A multi-objective analysis from Beijing, China. Transportation Research Part A: Policy and Practice 204, 104782 (2026).

33. Yin, G., Huang, Z., Wang, X., Tang, M., Ren, S. & Bao, Y. Unveiling the overestimated carbon reductions of dockless bike-sharing: A data-driven analysis. Transportation Research Part D: Transport and Environment 150, 105071 (2026).