An explicit and non-iterative moving-least-squares immersed-boundary method with low boundary velocity error. - Wenyuan Chen; Shufan Zou; Qingdong Cai; Yantao Yang (J. Comput. Phys., 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)

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)

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)