09:00 - 09:30 |
Haizhao Yang |
National University of Singapore |
Approximation theory and regularization for deep learning |
09:30 - 10:00 |
Ling Guo |
Shanghai Normal University |
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems |
10:00 - 10:30 |
Sixin Zhang |
Peking University |
Wavelet Phase Harmonic Covariance Models of Stationary Processes |
10:30 - 11:00 |
Coffee Break |
11:00 - 11:30 |
Ruiwen Shu |
University of Maryland, College Park |
A study of hyperbolicity of kinetic stochastic Galerkin system for the isentropic Euler equations with uncertainty |
11:30 - 12:00 |
Liu Liu |
University of Texas at Austin |
A bi-fidelity method for the multiscale Boltzmann and related kinetic equations with random parameters |
12:15 - 13:45 |
Lunch |
14:00 - 14:30 |
Qi Duan |
SenseTime |
AI In Healthcare: Progress and Problem |
14:30 - 15:00 |
Shenghua Gao |
ShanghaiTech University |
Anomaly Detection in Videos - from Feature Reconstruction to Future Prediction |
15:00 - 15:30 |
Zhiqin Xu |
New York University Abu Dhabi |
Frequency Principle in Deep Neural Networks |
15:30 - 16:00 |
Coffee Break |
16:00 - 16:30 |
Qifeng Liao |
ShanghaiTech University |
A Domain Decomposition Approach for Uncertainty Analysis |
16:30 - 17:00 |
Hao Wu |
Tongji University |
Variational approach for learning Markov processes from time series data |