Aiqing Zhu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Numerical Integration

Differential Equations

Top Venues

J. Comput. Phys.

Neural Networks

IEEE Trans. Circuits Syst. Video Technol.

Publications

Junbin Yuan, Aiqing Zhu, Qingzhen Xu, Kanoksak Wattanachote, Yongyi Gong
CTIF-Net: A CNN-Transformer Iterative Fusion Network for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Aiqing Zhu, Qianxiao Li
DynGMA: a robust approach for learning stochastic differential equations from data. CoRR (2024)
Aiqing Zhu, Qianxiao Li
DynGMA: A robust approach for learning stochastic differential equations from data. J. Comput. Phys. 513 (2024)
Jiawei Zhang, Aiqing Zhu, Feng Ji, Chang Lin, Yifa Tang
Effective numerical simulations of synchronous generator system. Simul. 100 (6) (2024)
Sidi Wu, Aiqing Zhu, Yifa Tang, Benzhuo Lu
Solving parametric elliptic interface problems via interfaced operator network. J. Comput. Phys. 514 (2024)
Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets. CoRR (2023)
Jiawei Zhang, Aiqing Zhu, Feng Ji, Chang Lin, Yifa Tang
Effective Numerical Simulations of Synchronous Generator System. CoRR (2023)
Sidi Wu, Aiqing Zhu, Yifa Tang, Benzhuo Lu
Solving parametric elliptic interface problems via interfaced operator network. CoRR (2023)
Beibei Zhu, Lun Ji, Aiqing Zhu, Yifa Tang
Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems. CoRR (2022)
Aiqing Zhu, Sidi Wu, Yifa Tang
Error analysis based on inverse modified differential equations for discovery of dynamics using linear multistep methods and deep learning. CoRR (2022)
Beibei Zhu, Lun Ji, Aiqing Zhu, Yifa Tang
Poisson Integrators based on splitting method for Poisson systems. CoRR (2022)
Aiqing Zhu, Beibei Zhu, Jiawei Zhang, Yifa Tang, Jian Liu
VPNets: Volume-preserving neural networks for learning source-free dynamics. J. Comput. Appl. Math. 416 (2022)
Sidi Wu, Aiqing Zhu, Benzhuo Lu
On convergence of neural network methods for solving elliptic interface problems. CoRR (2022)
Aiqing Zhu, Pengzhan Jin, Yifa Tang
Approximation capabilities of measure-preserving neural networks. Neural Networks 147 (2022)
Aiqing Zhu, Beibei Zhu, Jiawei Zhang, Yifa Tang, Jian Liu
VPNets: Volume-preserving neural networks for learning source-free dynamics. CoRR (2022)
Aiqing Zhu, Pengzhan Jin, Beibei Zhu, Yifa Tang
On Numerical Integration in Neural Ordinary Differential Equations. ICML (2022)
Aiqing Zhu, Pengzhan Jin, Beibei Zhu, Yifa Tang
On Numerical Integration in Neural Ordinary Differential Equations. CoRR (2022)
Aiqing Zhu, Pengzhan Jin, Yifa Tang
Approximation capabilities of measure-preserving neural networks. CoRR (2021)
Aiqing Zhu, Pengzhan Jin, Yifa Tang
Deep Hamiltonian networks based on symplectic integrators. CoRR (2020)
Aiqing Zhu, Pengzhan Jin, Yifa Tang
Inverse modified differential equations for discovery of dynamics. CoRR (2020)
Pengzhan Jin, Yifa Tang, Aiqing Zhu
Unit Triangular Factorization of the Matrix Symplectic Group. SIAM J. Matrix Anal. Appl. 41 (4) (2020)
Pengzhan Jin, Zhen Zhang, Aiqing Zhu, Yifa Tang, George Em Karniadakis
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems. Neural Networks 132 (2020)
Pengzhan Jin, Aiqing Zhu, George Em Karniadakis, Yifa Tang
Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems. CoRR (2020)
Ken Chen, Guangxue Yue, Fei Yu, Yue Shen, Aiqing Zhu
Research on Speech Emotion Recognition System in E-Learning. International Conference on Computational Science (3) (2007)