Yan Gao

Articles

• Gao, Y., Lin, F., Cai, B., Wu, J., Wei, C., Grech, R. and Ji, Z. 2024. Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty. Robotics and Autonomous Systems 182, article number: 104815. (10.1016/j.robot.2024.104815)
• Gao, Y., Xiong, G., Hu, Z., Chai, C. and Li, H. 2024. Bridge digital twin for practical bridge operation and maintenance by integrating GIS and BIM. Buildings 14(12), article number: 3731. (10.3390/buildings14123731)
• Gao, Y., Xiong, G., Li, H. and Richards, J. 2024. Exploring bridge maintenance knowledge graph by leveraging GrapshSAGE and text encoding. Automation in Construction 166, article number: 105634. (10.1016/j.autcon.2024.105634)
• 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 11(10), article number: 932. (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

• Gao, Y., Lin, F., Wei, C., Grech, R. and Ji, Z. 2024. Target tracking for quadrotors based on deep reinforcement learning. Presented at: 30th IEEE International Conference on Mechatronics and Machine Vision in Practice, Leeds, UK, 3-5 October 202430th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, (10.1109/M2VIP62491.2024.10746058)
• 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.
• Liu, J., Chai, C., Li, H., Gao, Y. and Zhu, X. 2024. LLM-informed drone visual inspection of infrastructure. Presented at: 31st EG-ICE International Workshop on Intelligent Computing in Engineering, Vigo, Spain, 3-5 July 2024.
• Chai, C., Gao, Y., Li, H. and Xiong, G. 2024. Automatic generation of bridge defect descriptions using image captioning techniques. Presented at: The 10th International Conference on Construction Engineering and Project Management, Sapporo, Hokkaido, Japan, 29 July - 01 August 2024ICCEPM 2024 Conference Proceedings. pp. 319-326.
• Chai, C., Liu, J., Gao, Y., Xiong, G. and Li, H. 2024. Semantic-enriched image retrieval for bridge damage assessment. Presented at: The Sixth International Conference on Civil and Building Engineering Informatics (ICCBEI 2025), Hong Kong, China, 8 -11 January 2025Proceedings of the 6th International Conference on Civil and Building Engineering Informatics.
• 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.