Jinshuai Bai

According to our database, Jinshuai Bai authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues.

Zhongya Lin, Jinshuai Bai, Shuang Li, Xindong Chen, Bo Li, Xi-Qiao Feng

CoRR, June, 2025

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation.

Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi, Cosmin Anitescu, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

CoRR, February, 2025

2024

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction.

Laith Alzubaidi, Hussein Khalefa Chlaib, Mohammed A. Fadhel, Yubo Chen, Jinshuai Bai, Ahmed Shihab Albahri, Yuantong Gu

Eng. Appl. Artif. Intell., 2024

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

Jinshuai Bai, Zhongya Lin, Yizheng Wang, Jiancong Wen, Yinghua Liu, Timon Rabczuk, Yuantong Gu, Xi-Qiao Feng

CoRR, 2024

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

Yizheng Wang, Jinshuai Bai, Zhongya Lin, Qimin Wang, Cosmin Anitescu, Jia Sun, Mohammad Sadegh Eshaghi, Yuantong Gu, Xi-Qiao Feng, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

CoRR, 2024

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

Yizheng Wang, Jia Sun, Jinshuai Bai, Cosmin Anitescu, Mohammad Sadegh Eshaghi, Xiaoying Zhuang, Timon Rabczuk, Yinghua Liu

CoRR, 2024

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

Yizheng Wang, Xiang Li, Ziming Yan, Yuqing Du, Jinshuai Bai, Bokai Liu, Timon Rabczuk, Yinghua Liu

CoRR, 2024

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion.

Laith Alzubaidi, Khamael Al-Dulaimi, Asma Salhi, Zaenab Alammar, Mohammed A. Fadhel, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, Amjad F. Hasan, Jinshuai Bai, Luke Gilliland, Jing Peng, Marco Branni, Tristan Shuker, Kenneth Cutbush, José Santamaría, Catarina Moreira, Chun Ouyang, Ye Duan, Mohamed Manoufali, Mohammad Jomaa, Ashish Gupta, Amin M. Abbosh, Yuantong Gu

Artif. Intell. Medicine, 2024

2023

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.

Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, José Santamaría, Ahmed Shihab Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin M. Abbosh, Yuantong Gu

J. Big Data, December, 2023

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

Ahmed Shihab Albahri, Ali Mohammed, Mohammed A. Fadhel, Alhamzah Alnoor, Noor S. Baqer, Laith Alzubaidi, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Jinshuai Bai, Asma Salhi, José Santamaría, Chun Ouyang, Ashish Gupta, Yuantong Gu, Muhammet Deveci

Inf. Fusion, August, 2023

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements.

Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, Ammar Dukhan, Ahmed H. Alkenani, Ahmed Al-Asadi, Haider A. Alwzwazy, Mohamed Manoufali, Mohammed A. Fadhel, Ahmed Shihab Albahri, Catarina Moreira, Chun Ouyang, Jinglan Zhang, José Santamaría, Asma Salhi, Freek Hollman, Ashish Gupta, Ye Duan, Timon Rabczuk, Amin M. Abbosh, Yuantong Gu

Int. J. Intell. Syst., 2023

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

Jinshuai Bai, Gui-Rong Liu, Ashish Gupta, Laith Alzubaidi, Xi-Qiao Feng, Yuantong Gu

CoRR, 2023

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

Zilin Li, Jinshuai Bai, Huajing Ouyang, Saulo Martelli, Ming Tang, Hongtao Wei, Pan Liu, Wei-Ron Han, Yuantong Gu

CoRR, 2023

2022

Physics-guided deep learning for data scarcity.

Jinshuai Bai, Laith Alzubaidi, Qingxia Wang, Ellen Kuhl, Mohammed Bennamoun, Yuantong Gu

CoRR, 2022

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

Jinshuai Bai, Hyogu Jeong, C. P. Batuwatta-Gamage, Shusheng Xiao, Qingxia Wang, C. M. Rathnayaka, Laith Alzubaidi, Gui-Rong Liu, Yuantong Gu

CoRR, 2022