Publication

• S. Yao, E. Levin, M. Diaz, Any-dimensional Invariant Universality. International Conference on Machine Learning (ICML) 2026. [paper]

• S. Yao, Y. Wu, R.H. Taylor, E.M. Boctor, Boost Calibration for Dual-Arm Co-Robotic Ultrasound System. 2025 IEEE International Ultrasonics Symposium (IUS), Poster Presented [paper] [poster]

• S. Yao, W. Huang, Y. Hu, Q. He, Boundary Region Reinforcement Physics-Informed Neural Networks for PDEs solving. Engineering Applications of Artificial Intelligence (EAAI), In press [paper]

• S. Yao, H. Li, X. Hu, K. Hermann, K. Zhang, Y. Li, M. Li, Identifying Traffic Risk Hotspots Using Spatial-temporal Network Kernel Density Estimation: A Novel Optimal Parameter Selection Method with Dual Dataset Validation. Transportation Research Board (TRB) 103rd Annual Meeting, Poster Presented [paper]