Research on Speech Emotion Recognition System in E-Learning. - Ken Chen; Guangxue Yue; Fei Yu 001; Yue Shen; Aiqing Zhu (International Conference on Computational Science (3), 2007)

Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems. - Pengzhan Jin; Aiqing Zhu; George Em Karniadakis; Yifa Tang (CoRR, 2020)

Deep Hamiltonian networks based on symplectic integrators. - Aiqing Zhu; Pengzhan Jin; Yifa Tang (CoRR, 2020)

Inverse modified differential equations for discovery of dynamics. - Aiqing Zhu; Pengzhan Jin; Yifa Tang (CoRR, 2020)

SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems. - Pengzhan Jin; Zhen Zhang 029; Aiqing Zhu; Yifa Tang; George Em Karniadakis (Neural Networks, 2020)

Unit Triangular Factorization of the Matrix Symplectic Group. - Pengzhan Jin; Yifa Tang; Aiqing Zhu (SIAM J. Matrix Anal. Appl., 2020)

On Numerical Integration in Neural Ordinary Differential Equations. - Aiqing Zhu; Pengzhan Jin; Beibei Zhu; Yifa Tang (ICML, 2022)

On convergence of neural network methods for solving elliptic interface problems. - Sidi Wu; Aiqing Zhu; Benzhuo Lu (CoRR, 2022)

Poisson Integrators based on splitting method for Poisson systems. - Beibei Zhu; Lun Ji; Aiqing Zhu; Yifa Tang (CoRR, 2022)

Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems. - Beibei Zhu; Lun Ji; Aiqing Zhu; Yifa Tang (CoRR, 2022)

VPNets: Volume-preserving neural networks for learning source-free dynamics. - Aiqing Zhu; Beibei Zhu; Jiawei Zhang; Yifa Tang; Jian Liu 005 (J. Comput. Appl. Math., 2022)

Approximation capabilities of measure-preserving neural networks. - Aiqing Zhu; Pengzhan Jin; Yifa Tang (Neural Networks, 2022)

CIA-Net: Cross-Modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection. - Xiaomei Kuang; Aiqing Zhu; Junbin Yuan; Qingzhen Xu (ICANN (2), 2024)

Adaptive Threshold-Driven Semi-Supervised Facial Expression Recognition. - Yiqi Wang; Aiqing Zhu; Junbin Yuan; Qingzhen Xu (PRICAI (3), 2024)

Solving parametric elliptic interface problems via interfaced operator network. - Sidi Wu; Aiqing Zhu; Yifa Tang; Benzhuo Lu (J. Comput. Phys., 2024)

DynGMA: A robust approach for learning stochastic differential equations from data. - Aiqing Zhu; Qianxiao Li (J. Comput. Phys., 2024)

Implementation and (Inverse Modified) Error Analysis for Implicitly Templated ODE-Nets. - Aiqing Zhu; Tom Bertalan; Beibei Zhu; Yifa Tang; Ioannis G. Kevrekidis (SIAM J. Appl. Dyn. Syst., 2024)

Error Analysis Based on Inverse Modified Differential Equations for Discovery of Dynamics Using Linear Multistep Methods and Deep Learning. - Aiqing Zhu; Sidi Wu; Yifa Tang (SIAM J. Numer. Anal., 2024)

Effective numerical simulations of synchronous generator system. - Jiawei Zhang; Aiqing Zhu; Feng Ji; Chang Lin; Yifa Tang (Simul., 2024)

CTIF-Net: A CNN-Transformer Iterative Fusion Network for Salient Object Detection. - Junbin Yuan; Aiqing Zhu; Qingzhen Xu; Kanoksak Wattanachote; Yongyi Gong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Forty years: Geometric numerical integration of dynamical systems in China. - Jianfei Huang; Na Liu 011; Yifa Tang; Ruili Zhang; Aiqing Zhu; Beibei Zhu (Int. J. Model. Simul. Sci. Comput., 2024)

Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images. - Aiqing Zhu; Yuting Pan; Qianxiao Li (ICLR, 2025)

Multi-Target Pose Estimation and Behavior Analysis Based on Symmetric Cascaded AdderNet. - Xiaoshuo Jia; Qingzhen Xu; Aiqing Zhu; Xiaomei Kuang (IEEE Trans. Multim., 2025)