学术专著

• Mosalam, K. M., Gao, Y. (2024). Artificial Intelligence in Vision-Based Structural Health Monitoring. Springer.

代表性论文

已发表第一/通讯作者SCI期刊论文20余篇，包括ESI高被引Top1%论文、土木领域顶刊《Computer-Aided in Civil and InfrastructureEngineering》与《EngineeringStructures》最佳论文、期刊Top-Cited/MostDownload等高质量论文。代表性论文如下：

• Gao, Y., & Mosalam, K. M. (2018). Deep transfer learning for image‐based structural damage recognition. Computer‐Aided Civil and Infrastructure Engineering, 33(9), 748-768.
• Gao, Y., Kong, B., & Mosalam, K. M. (2019). Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation. Computer‐Aided Civil and Infrastructure Engineering, 34(9), 755-773.
• Gao, Y., & Mosalam, K. M. (2020). PEER Hub ImageNet: A large-scale multiattribute benchmark data set of structural images. Journal of Structural Engineering, 146(10), 04020198.
• Gao, Y., Mosalam, K. M., Chen, Y., Wang, W., & Chen, Y. (2021). Auto-regressive integrated moving-average machine learning for damage identification of steel frames. Applied Sciences, 11(13), 6084.
• Gao, Y., Zhai, P., & Mosalam, K. M. (2021). Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime. Computer‐Aided Civil and Infrastructure Engineering, 36(9), 1094-1113.
• Gao, Y., & Mosalam, K. M. (2022). Deep learning visual interpretation of structural damage images. Journal of Building Engineering, 60, 105144.
• Wang, Z., Zhang, Y., Mosalam, K. M., Gao, Y., & Huang, S. L. (2022). Deep semantic segmentation for visual understanding on construction sites. Computer‐Aided Civil and Infrastructure Engineering, 37(2), 145-162.
• Gao, Y., Yang, J., Qian, H., & Mosalam, K. M. (2023). Multiattribute multitask transformer framework for vision‐based structural health monitoring. Computer‐Aided Civil and Infrastructure Engineering, 38(17), 2358-2377.
• Mosalam, K., Muin, S., & Gao, Y. (2019). NEW DIRECTIONS IN STRUCTURAL HEALTH MONITORING. NED University Journal of Research.
• Yang, X., Gao, Y., Fang, C., Zheng, Y., & Wang, W. (2022). Deep learning‐based bolt loosening detection for wind turbine towers. Structural Control and Health Monitoring, 29(6), e2943.
• Zheng, Y., Gao, Y., Lu, S., & Mosalam, K. M. (2022). Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges. Computer‐Aided Civil and Infrastructure Engineering, 37(9), 1089-1108.
• Fan, Y., Lu, W., Yuan, M., & Gao, Y. (2023). A Modified Full-Scale Experimental Method on the Seismic Performance of Complex Façade System. Journal of Earthquake Engineering, 1-21.
• Fang, C., Ping, Y., Gao, Y., Zheng, Y., & Chen, Y. (2022). Machine learning-aided multi-objective optimization of structures with hybrid braces–Framework and case study. Engineering Structures, 269, 114808.
• Gu, Z., Lu, W., & Gao, Y. (2022). Asymmetrical friction damper to improve seismic behavior of tension-only braces: An experimental and analytical study. Engineering Structures, 256, 114029.
• Gu, Z., Lu, W., Fan, Y., & Gao, Y. (2023). An uncoupled damping system for tension-only braced structures: experimental and numerical analysis. Engineering Structures, 281, 115777.
• Gu, Z., Lu, W., Fan, Y., & Gao, Y. (2023). Automated simplified structural modeling method for megatall buildings based on genetic algorithm. Journal of Building Engineering, 77, 107485.
• Fu, B., Wang, W., & Gao, Y. (2024). Physical rule-guided generative adversarial network for automated structural layout design of steel frame-brace structures. Journal of Building Engineering, 86, 108943.
• Fu, B., Gao, Y., & Wang, W. (2024). A physics‐informed deep reinforcement learning framework for autonomous steel frame structure design. Computer‐Aided Civil and Infrastructure Engineering.
• Leng, H., Gao, Y., & Zhou, Y. (2024). ArchiDiffusion: A novel diffusion model connecting architectural layout generation from sketches to Shear Wall Design. Journal of Building Engineering, 98, 111373.
• Du, M., Gao, Y., Wang, W., & Fu, B. (2025). FrameGym: A reinforcement learning environments for steel frame structures. Engineering Structures, 343, 120991.
• Li, J., Wang, W., Fu, B., & Gao, Y. (2025). FrameDiffusion: A latent diffusion model for intelligent layout design of steel frame-braced structures. Engineering Structures, 343, 121195.
• Du, M., Wang, W., Gao, Y., & Fu, B. (2025). MAFO-3D: A multi-agent reinforcement learning framework for efficient optimization of 3D steel moment-resisting frames. Engineering Structures, 345, 121574.
• Fu, B., Gao, Y., Wang, W., & Du, M. (2026). Autonomous component optimization method for steel braced frame structures based on multi-agent and physics-informed deep reinforcement learning. Advanced Engineering Informatics, 69, 103878.