2 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
ODEs learn to walk: ODE-Net based data-driven modeling for crowd dynamics
Chen Cheng, Jinglai Li
Predicting the behaviors of pedestrian crowds is of critical importance for a variety of real-world problems. Data driven modeling, which aims to learn the mathematical models from…
physics.flu-dyn2021★ 2 cited
Deep learning based on mixed-variable physics informed neural network for solving fluid dynamics without simulation data
Guang-Tao Zhang, Chen Cheng, Shu-dong Liu +2
Deep learning method has attracted tremendous attention to handle fluid dynamics in recent years. However, the deep learning method requires much data to guarantee the generalizati…
physics.flu-dyn2021★ 2 cited
Deep learning based on PINN for solving 2 D0F vortex induced vibration of cylinder with high Reynolds number
Chen Cheng, Peng-Fei Xu, Yong-Zheng Li +1
Vortex-induced vibration (VIV) exists widely in natural and industrial fields. The main approaches for solving VIV problems are numerical simulations and experimental methods. Howe…