Kejun Tang

DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations

Kejun Tang, Xiaoliang Wan, Chao Yang · Journal of Computational Physics · 2022 · 166 citations · Full text

Natural Sciences, Mathematics, Physics +11

D3M: A Deep Domain Decomposition Method for Partial Differential Equations

Ke Li, Kejun Tang, Tianfan Wu et al. · IEEE Access · 2019 · 126 citations · Full text

Computing, Computational Engineering, Computational Mechanics +16

Adaptive deep density approximation for Fokker-Planck equations

Kejun Tang, Xiaoliang Wan, Qifeng Liao · Journal of Computational Physics · 2022 · 47 citations · Full text

Natural Sciences, Physics, Computational Physics +13

AONN: An Adjoint-Oriented Neural Network Method for All-At-Once Solutions of Parametric Optimal Control Problems

Pengfei Yin, Guangqiang Xiao, Kejun Tang et al. · SIAM Journal on Scientific Computing · 2024 · 16 citations

Natural Sciences, Computational Engineering, Mathematics +16

A Hierarchical Neural Hybrid Method for Failure Probability Estimation

Ke Li, Kejun Tang, Jinglai Li et al. · IEEE Access · 2019 · 12 citations · Full text

Computing, Computational Engineering, Computer Science +17