Jia Zhang

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data

Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu

Neural Networks | August 2024

Publication

Learning Physics-Informed Neural Networks without Stacked Back-propagation

Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

AISTATS 2023 | April 2023

Publication

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

April 2023

Preprint

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data

Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu

Neural Networks | August 2024

Publication

Learning Physics-Informed Neural Networks without Stacked Back-propagation

Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

AISTATS 2023 | April 2023

Publication

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

April 2023

Preprint

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

April 2023

Preprint

Learning Physics-Informed Neural Networks without Stacked Back-propagation

Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

AISTATS 2023 | April 2023

Publication

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

April 2023

Preprint

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data

Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu

Neural Networks | August 2024

Publication

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

April 2023

Preprint

Learning Physics-Informed Neural Networks without Stacked Back-propagation

Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

AISTATS 2023 | April 2023

Publication