Xinran wei

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

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran wei, Lin Huang, Lijun Wu, Bin Shao

NeurIPS 2024 | June 2024

DOI Publication Publication

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction

He Zhang, Chang Liu, Zun Wang, Xinran wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

ICML 2024 | March 2024

DOI Publication 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

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran wei, Lin Huang, Lijun Wu, Bin Shao

NeurIPS 2024 | June 2024

DOI Publication Publication

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction

He Zhang, Chang Liu, Zun Wang, Xinran wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

ICML 2024 | March 2024

DOI Publication 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

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

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran wei, Lin Huang, Lijun Wu, Bin Shao

NeurIPS 2024 | June 2024

DOI Publication Publication

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction

He Zhang, Chang Liu, Zun Wang, Xinran wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

ICML 2024 | March 2024

DOI Publication Publication

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