城市生命线（智慧城市、洪涝韧性、大型基础设施数字孪生技术）

具身智能（城市地下空间机器人巡检、2D/3D机器视觉、人机协同、AI Agent技术）

Su, Y., Wang, J., Shou, W., Yao, Y., Yue, A., Xu, S. (2026). Wavelet-based diffusion model for low-light image enhancement under nonuniform illumination in tunnel environments. Journal of Computing in Civil Engineering. https://doi.org/10.1061/JCCEE5.CPENG-6907.

Su, Y., Chen, W., Ling, J., & Yu, D. (2026). Zero-shot point cloud segmentation for hydro power plant components. Computer-aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.70150.

Su, Y., Wang, J., Wu, P., Wu, C., Yue, A., Shou, W. (2025). An unsupervised acoustic denoising model for water leakage detection. Journal of Computing in Civil Engineering. https://doi.org/10.1061/JCCEE5.CPENG-6697.

Su, Y., Wang, J., Shou, W., Wu, P., Wu, C; Xu, S. (2025). Intentions prediction for human-robot collaboration in utility tunnel maintenance. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-11-2024-1531.

Yue, H., Wang, Q*., Su, Y*., Fang, H., Cheng, J & Zhang, M. (2025). A point cloud dataset and deep learning method for semantic segmentation of underground garages. Computer-aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.70020.

Su, Y., Wang, J., Wu, P., Wu, C., Yue, A., Shou, W. (2024). Automatic completion of underground utility topologies using graph convolutional networks.Journal of Computing in Civil Engineering.https://doi.org/10.1061/JCCEE5.CPENG-5953.

Zhao, H., Sun, J., Wang, X., Wang, Y., Su, Y., Wang, J., Wang, L. (2024). Real-time and high-accuracy defect monitoring for 3D concrete printing using transformer networks. Automation in construction. https://doi.org/10.1016/j.autcon.2024.105925.

Mao, C., Yue, A., Wang, Z., Zhao, S., Su, Y., Zeng, S. (2024). Are cities genuinely healthy? Diagnosis of urban development from the perspective of adaptive capacity. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2024.105494.

Su, Y., Wang, J., Li, D., Wang, X., Hu, L., Yao, Y., & Kang, Y. (2023). End-to-end deep learning model for underground utilities localization using GPR. Automation in Construction, 149, 104776. https://doi.org/10.1016/j.autcon.2023.104776.

Su, Y., Wang, J., Wang, X., Hu, L., Yao, Y., Shou, W., & Li, D. (2023). Zero-reference deep learning for low-light image enhancement of underground utilities 3D reconstruction. Automation in Construction, 152, 104930. https://doi.org/10.1016/j.autcon.2023.104930.

Su, Y., Wang, J., Wang, X., Yao, Y., & Shou, W. (2023). 3D reconstruction in underground utilities. Automation in Construction, 156, 105100. https://doi.org/10.1016/j.autcon.2023.105100.

Su Y., Mao, C., Guo P. (2021). Collaborative management of construction schedule based on deep learning 3D reconstruction technology. Journal of Civil and Environmental Engineering, 1-11, (2021-10-09). http://kns.cnki.net/kcms/detail/50.1218.TU.20210807.1520.002.html.

Su, Y., Mao, C., Jiang, R., Liu, G., & Wang, J. (2021). Data-driven fire safety management at building construction sites: Leveraging CNN. Journal of Management in Engineering, 37(2), 04020108. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000877.

Conference papers

Chen, W., Su, Y*. (2025). Optimizing hydropower operations: A tailored digital twin framework for hydropower plant. The 6th International Conference on Civil and Building Engineering Informatics (ICCBEI 2025). Hongkong, China.

Mathew, A., Alavi, H., Wang, G., Su, Y., Chen, W., Brilakis, I. (2025) Geometric model of hydropower plants: A foundational step towards creating a hydropower digital twin. 2025 European Conference on Computing in Construction/ CIB W78 Conference on IT in Construction. Porto, Portugal.

Su, Y., Jia, Q., Yao, Y., Wang, J. (2022). A review of GPR application on underground utilities: limitations and the best performance. World Building Conference 2022. Melbourne, Australia.

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