| AIoT-informed digital twin communication for bridge maintenance Y Gao, H Li, G Xiong, H Song Automation in Construction 150, 104835, 2023 | 26 | 2023 |
| Few-shot learning for image-based bridge damage detection Y Gao, H Li, W Fu Engineering Applications of Artificial Intelligence 126, 107078, 2023 | 6 | 2023 |
| A deep learning framework for intelligent fault diagnosis using AutoML-CNN and image-like data fusion Y Gao, C Chai, H Li, W Fu Machines 11 (10), 932, 2023 | 3 | 2023 |
| An efficient and resilient digital-twin communication framework for smart bridge structural survey and maintenance Y Gao, H Li, G Xiong | 3 | 2022 |
| Damage volumetric assessment and digital twin synchronization based on LiDAR point clouds Y Gao, H Li, W Fu, C Chai, T Su Automation in Construction 157, 105168, 2024 | 2 | 2024 |
| Exploring bridge maintenance knowledge graph by leveraging GrapshSAGE and text encoding Y Gao, G Xiong, H Li, J Richards Automation in Construction 166, 105634, 2024 | | 2024 |
| Corrosion SAM: adapting segment anything model with parameter-efficient fine-tuning for structural corrosion inspection C Chai, Y Gao, H Li, X Zhu | | 2024 |
| Few-shot classification for image-based crack detection Y Gao, H Li, W Fu, G Xiong | | 2023 |
