1.2024-2026, 国家自然科学青年基金项目 - 基于知识图谱的桥梁病害识别、语义增强和细粒度维修决策（项目号：72301246），主持
2.2024-2025, 浙江省社科规划青年课题 – 数字技术助力交通基础设施运维管理：匹配机理与提升路径（项目号：24NDQN178YBM），主持
3.2025-2026，校级“数智融合”课程建设项目， 《智能建造与智慧运维》，主持
4.2024-2026，校级教学改革与研究项目（重点）--大语言模型驱动下工程管理专业智能建造方向课程体系优化与实践，主持。
5.2025-2027, 浙江省科技厅 - 全省城市基础设施绿色与数智更新重点实验室建设，参与
6.2024-2027，国家自然科学基金面上项目- 基础设施项目社会许可（SLI）动态演化机理及韧性提升研究（项目号：72374182），参与
7.2024-2026, 浙江省社科规划课题 –“双碳”目标下城市交通绿色发展水平评价及提升策略研究（项目号：24NDJC177YB），参与
8.2025-2027，浙江省社科规划专项项目 - 多主体视角下城市装修废弃物协同治理机制研究（项目号：25NDJC057YBMS），参与
9.2020-2022，Australian Research Council (ARC) Linkage （澳大利亚国家自然科学基金项目） - Asset Intelligence: Maximising Operational Effectiveness for the Digital Era，主研人
10.2019-2021，ARC Discovery Project (澳大利亚国家自然科学基金研究项目) - Automatic As-Built Construction Monitoring through Semantics-based Building Information Modelling，主研人
11.2018-2019，ARC Linkage Project （澳大利亚国家自然科学基金项目）- Improving Road Network Operations under Non-Recurrent Event，主研人。
发表论文
[1]Xia, Z., Wang, J., Hosseini, M.R., Shou, W., Yan, X., and Xu, S*. (2025). How knowledge is represented in AEC industry: a systematic review. Engineering, Construction and Architectural Management. (SJR Q1, IF=3.6)
[2]Su, Y., Wang, J., Shou, W., Wu, P., Wu, C., and Xu, S. (2026). Intentions prediction for human–robot collaboration in utility tunnel maintenance. Engineering, Construction and Architectural Management. (SJR Q1, IF=3.6)
[3]Su, Y., Wang, J., Shou, W., Yao, Y., Yue, A., and Xu, S. (2026). Wavelet-Based Diffusion Model for Low-Light Image Enhancement under Nonuniform Illumination in Tunnel Environments. Journal of Computing in Civil Engineering. (SJR Q1, IF=4.7)
[4]Xu, S., Wang, J., Xia, J., and Shou, W. (2025). Evaluating Radiance Field-Inspired Methods for 3D Indoor Reconstruction: A Comparative Analysis. Buildings, 15(6), 848 (SJR Q1, IF=3.1)
[5]Wang, Y., Sun, J., Wang, X., Huang, B., Xu, S., Shang, J., Li, S., Song, C., and Wang, D. (2025). Environmental and economic evaluation of a prefabricated 3D-printed structural units using recycled aggregates from construction and demolition waste: A case study in China. Energy and Buildings.
[6]Xu, S., Wang, J., Wang, X., Shou, W., and Ngo, T. (2024). Defect modelling and correlation mapping for bridge inspection. Engineering, Construction and Architectural Management. (SJR Q1, IF=3.6)
[7]Xu, S., Wang, J., Wang, X. (2024). Transfer from defective bridge information model to defect analysis model based on industry foundation classes. Structure and Infrastructure Engineering, 1–16. (SJR Q1, IF=2.6)
[8]Yan, X.; Jin, R.; Zhang, H.; Gao, H.; Xu, S. (2024). Computer vision-based intelligent monitoring of disruptions due to construction machinery arrival delay. Journal of Computing in Civil Engineering, 39,3. (SJR Q1, IF=4.7)
[9]Xu, S., Wang, J., Liu, Y., Yu, F. (2023). Application of Emerging Technologies to Improve Construction Performance. Buildings, 13(5), 1147. (Editorial article)
[10]Xu, S., Wang, J., Wang, X., Wu, P., Shou, W., & Chao, L. (2022). A parameter-driven method for modelling bridge defects through IFC. Journal of Computing in Civil Engineering, 36,4. (SJR Q1, IF=4.7)
[11]Huang, C., Wang, Y., Xu, S.,*, Shou, W., Peng, C., & Lv, D. (2022). Vision-Based Methods for Relative Sag Measurement of Suspension Bridge Cables. Buildings, 12(5), 667. (SJR Q1, IF=3.1)
[12]Wang, X., Wang, J., Wu, C., Xu, S., &Ma, W. (2022) Engineering Brain: Metaverse for future engineering. AI in Civil Engineering, 1, 2.
[13]Kang K-Y, Wang X, Wang J, Xu, S., Shou W, Sun Y. (2022) Utility of BIM-CFD Integration in the Design and Performance Analysis for Buildings and Infrastructures of Architecture, Engineering and Construction Industry. Buildings, 12(5):651. (SJR Q1, IF=3.1)
[14]Xu, S., Wang, J., Shou, W. et al. (2021) Computer Vision Techniques in Construction: A Critical Review. Archives of Computational Methods in Engineering, 28, 3383–3397. (SJR Q1, IF=9.7, 高被引论文)
[15]Wang,Y., Li,K., Chen,Y., Xu, S.*, Shou, W. (2021) Research on Non-Contact and Non-Fixed Cable Force Measurement Based on Smartphone. Appl. Sci. 11, 8902. (SJR Q1, IF=2.5)
[16]Xu, S., Wang, J., Wu,P., Shou, W., Wang, X., & Chen, M. (2021) Vision-Based Pavement Marking Detection and Condition Assessment—A Case Study. Appl. Sci.,11,3152. (SJR Q1, IF=2.5)
[17]Xu, S., Sun, Y., Wang, X. (2022) Defect Analysis for Condition Assessment Using IFC. In 9th International Conference on Innovative Production and Construction (IPC 2022), Melbourne, Australia, 27-30 June 2022. (Best Paper Award)
[18]Xu, S., Wang J., Wu P., Shou W., Fang T., Wang X. (2021) Vision-Based Pavement Marking Detection – A Case Study. In Proceedings of the 18th International Conference on Computing in Civil and Building Engineering. ICCCBE 2020. Lecture Notes in Civil Engineering, vol 98. Springer, Cham.
[19]Xu, S., Wang J., Wang, X., Shou, W. (2019) Computer Vision Techniques in Construction, Operation and Maintenance Phases of Civil Assets: A Critical Review. In Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC). 2019, International Association for Automation and Robotics in Construction (IAARC). p. 672-679.
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