Aiqing Zhu

Orcid: 0000-0002-7473-9604

According to our database1, Aiqing Zhu authored at least 20 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CTIF-Net: A CNN-Transformer Iterative Fusion Network for Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

Effective numerical simulations of synchronous generator system.
Simul., 2024

Error Analysis Based on Inverse Modified Differential Equations for Discovery of Dynamics Using Linear Multistep Methods and Deep Learning.
SIAM J. Numer. Anal., 2024

Implementation and (Inverse Modified) Error Analysis for Implicitly Templated ODE-Nets.
SIAM J. Appl. Dyn. Syst., 2024

DynGMA: A robust approach for learning stochastic differential equations from data.
J. Comput. Phys., 2024

Solving parametric elliptic interface problems via interfaced operator network.
J. Comput. Phys., 2024

Adaptive Threshold-Driven Semi-Supervised Facial Expression Recognition.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

CIA-Net: Cross-Modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2022
Approximation capabilities of measure-preserving neural networks.
Neural Networks, 2022

VPNets: Volume-preserving neural networks for learning source-free dynamics.
J. Comput. Appl. Math., 2022

Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems.
CoRR, 2022

Poisson Integrators based on splitting method for Poisson systems.
CoRR, 2022

On convergence of neural network methods for solving elliptic interface problems.
CoRR, 2022

On Numerical Integration in Neural Ordinary Differential Equations.
Proceedings of the International Conference on Machine Learning, 2022

2020
Unit Triangular Factorization of the Matrix Symplectic Group.
SIAM J. Matrix Anal. Appl., 2020

SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems.
Neural Networks, 2020

Inverse modified differential equations for discovery of dynamics.
CoRR, 2020

Deep Hamiltonian networks based on symplectic integrators.
CoRR, 2020

Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems.
CoRR, 2020

2007
Research on Speech Emotion Recognition System in E-Learning.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007


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