Multi-Target Pose Estimation and Behavior Analysis Based on Symmetric Cascaded AdderNet.
IEEE Trans. Multim., 2025
Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Forty years: Geometric numerical integration of dynamical systems in China.
Int. J. Model. Simul. Sci. Comput., October, 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
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
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
Research on Speech Emotion Recognition System in E-Learning.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007