Yan Gao

Articles

• Gao, Y., Li, H., Fu, W., Chai, C. and Su, T. 2024. Damage volumetric assessment and digital twin synchronization based on LiDAR point clouds. Automation in Construction 157, article number: 105168. (10.1016/j.autcon.2023.105168)
• Gao, Y., Li, H. and Fu, W. 2023. Few-shot learning for image-based bridge damage detection. Engineering Applications of Artificial Intelligence 126(PartC), article number: 107078. (10.1016/j.engappai.2023.107078)
• Gao, Y., Chai, C., Li, H. and Fu, W. 2023. A deep learning framework for intelligent fault diagnosis using AutoML-CNN and image-like data fusion. Machines (10.3390/machines11100932)
• Gao, Y., Li, H., Xiong, G. and Song, H. 2023. AIoT-informed digital twin communication for bridge maintenance. Automation in Construction 150, article number: 104835. (10.1016/j.autcon.2023.104835)

Conferences

• Chai, C., Gao, Y., Li, H. and Zhu, X. 2024. Corrosion SAM: adapting segment anything model with parameter-efficient fine-tuning for structural corrosion inspection. Presented at: 31st EG-ICE International Workshop on Intelligent Computing in Engineering, Vigo, Spain, 3-5 July 2024.
• Gao, Y., Li, H., Fu, W. and Xiong, G. 2023. Few-shot classification for image-based crack detection. Presented at: The 30th EG-ICE: International Conference on Intelligent Computing in Engineering, London, UK, 4-7 July 2023.
• Gao, Y., Li, H. and Xiong, G. 2022. An efficient and resilient digital-twin communication framework for smart bridge structural survey and maintenance. Presented at: 29th EG-ICE International Workshop on Intelligent Computing in Engineering 2022, Aarhus, Denmark, 06-08 July 2022.

Thesis

• Gao, Y. 2023. Data and informatics-informed digital twins for smart and
  
  practical bridge maintenance. PhD Thesis, Cardiff University.