Pengzhan Jin

MIONet: Learning Multiple-Input Operators via Tensor Product

Pengzhan Jin, Shuai Meng, Lu Lu · SIAM Journal on Scientific Computing · 2022 · 172 citations · Full text

Artificial Intelligence, Banach Spaces, Engineering +13

SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems

Pengzhan Jin, Zhen Zhang, Aiqing Zhu et al. · Neural Networks · 2020 · 157 citations · Full text

Lie Point Symmetry, Hamiltonian Theory, Hamiltonian Systems +1

Quantifying the generalization error in deep learning in terms of data\n distribution and neural network smoothness

Pengzhan Jin, Lu Lu, Yifa Tang et al. · arXiv (Cornell University) · 2019 · 60 citations · Full text

Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks

Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 54 citations

Artificial Intelligence, Geometric Learning, Engineering +17

Deep Hamiltonian networks based on symplectic integrators

Aiqing Zhu, Pengzhan Jin, Yifa Tang · arXiv (Cornell University) · 2020 · 18 citations · Full text

Artificial Intelligence, Hamiltonian Theory, Deep Hamiltonian Networks +12