Zichao Long

Physics and Astronomy · Physical Sciences

4h-index790citations6works0.02yr avg
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Research Topics

Model Reduction and Neural Networks(5), Probabilistic and Robust Engineering Design(2), Adversarial Robustness in Machine Learning(2), Neural Networks and Applications(1), Meteorological Phenomena and Simulations(1)

Publications6 total

Computational Graph Representation of Equations System Constructors in Hierarchical Circuit Simulation
arXiv (Cornell University)·2024Open Access
RODE-Net: Learning Ordinary Differential Equations with Randomness from Data
arXiv (Cornell University)·2020· 4 citedOpen Access
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
Communications in Computational Physics·2020· 34 cited
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network
Journal of Computational Physics·2019· 528 citedOpen Access
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
arXiv (Cornell University)·2019· 5 citedOpen Access
PDE-Net: Learning PDEs from Data
arXiv (Cornell University)·2017· 219 citedOpen Access

Frequent Co-authors

Bin Dong(4), Yiping Lu(2), Xianzhong Ma(1), Yufei Wang(1), Z. Shen(1), Bin Dong(1), Yufei Wang(1), Ziju Shen(1), Junyu Liu(1), Ranran Wang(1), Jie Sun(1), Lin Li(1), Lei Han(1), Xianglong Meng(1), Chongjun Ding(1), Ruiyan Li(1), Wu Jiang(1), Fuchen Ding(1), Jiaqing Yue(1), Zhichao Li(1)