Laiping Zhang

Orcid: 0000-0001-6664-1036

According to our database1, Laiping Zhang authored at least 14 papers between 2012 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
GPUDirectIO: Streamline the CFD I/O Path From NVMe to GPU for High-Performance Simulations.
IEEE Trans. Parallel Distributed Syst., December, 2025

Unsupervised learning with physics informed graph networks for partial differential equations.
Appl. Intell., May, 2025

Autonomous navigation of UAV in complex environment : a deep reinforcement learning method based on temporal attention.
Appl. Intell., February, 2025

Learning to solve PDEs with finite volume-informed neural networks in a data-free approach.
J. Comput. Phys., 2025

2024
Sag-flownet: self-attention generative network for airfoil flow field prediction.
Soft Comput., June, 2024

A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids.
CoRR, 2024

Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss.
CoRR, 2024

Large-scale homo- and heterogeneous parallel paradigm design based on CFD application PHengLEI.
Concurr. Comput. Pract. Exp., 2024

A semi-supervised framework for computational fluid dynamics prediction.
Appl. Soft Comput., 2024

2023
Swin-FlowNet: Flow field oriented optimization aided by a CNN and Swin-Transformer based model.
J. Comput. Sci., September, 2023

TransCFD: A transformer-based decoder for flow field prediction.
Eng. Appl. Artif. Intell., 2023

2022
AMGNET: multi-scale graph neural networks for flow field prediction.
Connect. Sci., 2022

2012
A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases.
J. Comput. Phys., 2012

A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems.
J. Comput. Phys., 2012


  Loading...