发表论文：
[1] Li YT, Bao TF*, et al. Underwater crack pixel-wise identification and quantification for dams via lightweight semantic segmentation and transfer learning[J]. Automation in Construction
[2] Li YT, Bao TF*, et al. A robust real-time method for identifying hydraulic tunnel structural defects using deep learning and computer vision[J]. Computer-Aided Civil and Infrastructure Engineering
[3] Li YT, Bao TF*, et al. An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning[J]. Structural Health Monitoring
[4] Li YT, Bao TF*, et al. A new dam structural response estimation paradigm powered by deep learning and transfer learning techniques[J]. Structural Health Monitoring
[5] Li YT, Zhao HT*, et al. Vision-guided crack identification and size quantification framework for dam underwater concrete structures[J]. Structural Health Monitoring
发明专利：
[1] 李扬涛,包腾飞,舒小颂等. 基于多任务高斯过程的大坝监测系统缺失数据重构方法
[2] 李扬涛,包腾飞,李田雨,等.一种大坝深水结构隐患病害实时检测方法
