A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems. - Laiping Zhang; Liu Wei; Lixin He; Xiaogang Deng; Hanxin Zhang (J. Comput. Phys., 2012)

A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases. - Laiping Zhang; Liu Wei; Lixin He; Xiaogang Deng; Hanxin Zhang (J. Comput. Phys., 2012)

AMGNET: multi-scale graph neural networks for flow field prediction. - Zhishuang Yang; Yidao Dong; Xiaogang Deng; Laiping Zhang (Connect. Sci., 2022)

TransCFD: A transformer-based decoder for flow field prediction. - Jundou Jiang; Guanxiong Li; Yi Jiang; Laiping Zhang; Xiaogang Deng (Eng. Appl. Artif. Intell., 2023)

Swin-FlowNet: Flow field oriented optimization aided by a CNN and Swin-Transformer based model. - Xiao Wang; Shufan Zou; Yi Jiang; Laiping Zhang; Xiaogang Deng (J. Comput. Sci., 2023)

A semi-supervised framework for computational fluid dynamics prediction. - Xiao Wang; Yidao Dong; Shufan Zou; Laiping Zhang; Xiaogang Deng (Appl. Soft Comput., 2024)

Large-scale homo- and heterogeneous parallel paradigm design based on CFD application PHengLEI. - Yunbo Wan; Zhong Zhao; Jie Liu 002; Laiping Zhang; Yong Zhang; Jianqiang Chen (Concurr. Comput. Pract. Exp., 2024)

Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss. - Xin Feng; Yi Jiang; Jiaxian Qin; Laiping Zhang; Xiaogang Deng (CoRR, 2024)

A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids. - Yiye Zou; Tianyu Li; Shufan Zou; Jingyu Wang; Laiping Zhang; Xiaogang Deng (CoRR, 2024)

Sag-flownet: self-attention generative network for airfoil flow field prediction. - Xiao Wang; Yi Jiang; Guanxiong Li; Laiping Zhang; Xiaogang Deng (Soft Comput., 2024)

Learning to solve PDEs with finite volume-informed neural networks in a data-free approach. - Tianyu Li; Yiye Zou; Shufan Zou; Xinghua Chang; Laiping Zhang; Xiaogang Deng (J. Comput. Phys., 2025)

Autonomous navigation of UAV in complex environment : a deep reinforcement learning method based on temporal attention. - Shuyuan Liu; Shufan Zou; Xinghua Chang; Huayong Liu; Laiping Zhang; Xiaogang Deng (Appl. Intell., 2025)

Unsupervised learning with physics informed graph networks for partial differential equations. - Lin Lu; Yiye Zou; Jingyu Wang; Shufan Zou; Laiping Zhang; Xiaogang Deng (Appl. Intell., 2025)