Physics-Informed Neural Networks with good lattice points set for solve low regularity PDEs and high dimensional PDE. - Yu Yang; Pingan He 003; Xiaoling Peng; Qiaolin He (CoRR, 2024)

A novel number-theoretic sampling method for neural network solutions of partial differential equations. - Yu Yang; Pingan He 003; Xiaoling Peng; Qiaolin He (Neural Networks, 2025)

A new resampling method for meta Gaussian distributions. - Pingan He 003; Kai-Tai Fang; Ping He; Huajun Ye (Stat. Comput., 2025)