Liu Yang

B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data

Liu Yang, Xuhui Meng, George Em Karniadakis · Journal of Computational Physics · 2020 · 959 citations · Full text

Numerical Analysis, Numerical Method For Partial Differential Equation, Engineering +8

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Liu Yang, Dongkun Zhang, George Em Karniadakis · SIAM Journal on Scientific Computing · 2020 · 396 citations · Full text

Engineering, Machine Learning, Neural Network +16

Reinforcement learning for bluff body active flow control in experiments and simulations

Dixia Fan, Liu Yang, Zhicheng Wang et al. · Proceedings of the National Academy of Sciences · 2020 · 237 citations · Full text

Long Range Arena: A Benchmark for Efficient Transformers

Yi Tay, Mostafa Dehghani, Samira Abnar et al. · arXiv (Cornell University) · 2020 · 194 citations · Full text

Llm Fine-tuning, Power Engineering, Machine Learning +17

Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks

Xiaoli Chen, Liu Yang, Jinqiao Duan et al. · SIAM Journal on Scientific Computing · 2021 · 108 citations · Full text