Jinshuai Bai

Orcid: 0000-0002-0753-6428

According to our database1, Jinshuai Bai authored at least 13 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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5
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction.
Eng. Appl. Artif. Intell., 2024

Energy-based physics-informed neural network for frictionless contact problems under large deformation.
CoRR, 2024

Artificial intelligence for partial differential equations in computational mechanics: A review.
CoRR, 2024

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks.
CoRR, 2024

HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators.
CoRR, 2024

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion.
Artif. Intell. Medicine, 2024

2023
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.
J. Big Data, December, 2023

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion.
Inf. Fusion, August, 2023

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements.
Int. J. Intell. Syst., 2023

Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs.
CoRR, 2023

Physics-informed neural network for friction-involved nonsmooth dynamics problems.
CoRR, 2023

2022
Physics-guided deep learning for data scarcity.
CoRR, 2022

An introduction to programming Physics-Informed Neural Network-based computational solid mechanics.
CoRR, 2022


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