PDE-Net: Learning PDEs from Data. - Zichao Long; Yiping Lu 001; Xianzhong Ma; Bin Dong 001 (ICML, 2018)

Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning. - Yufei Wang; Ziju Shen; Zichao Long; Bin Dong 001 (CoRR, 2019)

PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network. - Zichao Long; Yiping Lu 001; Bin Dong 001 (J. Comput. Phys., 2019)

RODE-Net: Learning Ordinary Differential Equations with Randomness from Data. - Junyu Liu; Zichao Long; Ranran Wang 002; Jie Sun; Bin Dong 001 (CoRR, 2020)

Computational Graph Representation of Equations System Constructors in Hierarchical Circuit Simulation. - Zichao Long; Lin Li; Lei Han; Xianglong Meng; Chongjun Ding; Ruiyan Li; Wu Jiang; Fuchen Ding; Jiaqing Yue; Zhichao Li; Yisheng Hu; Ding Li; et al. (CoRR, 2024)