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Qiang He

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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39

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Scholarly Papers (2)

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1.

Algebraic Loss Augmentation: Steering Conflicting Residuals for Coupled Physics-Informed Neural Networks

Number of pages: 25 Posted: 13 Apr 2026
Qiang He, Qiang He, Xihe Liu, Jian Chen, Yang Hu, Greg Zhu and Weifeng Huang
affiliation not provided to SSRN, Tsinghua University, affiliation not provided to SSRN, affiliation not provided to SSRN, Beijing Jiaotong University, Tsinghua University and Independent
Downloads 24 (1,470,786)

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Physics-Informed Neural Networks (PINNs), Gradient Conflict, Algebraic Loss Augmentation (ALA), high-fidelity solutions

2.

On the Diminishing Returns of Higher-Order Gradient Constraints in Gradient-enhanced physics-informed neural networks: Order Selection and Directional Anisotropy

Number of pages: 19 Posted: 14 Feb 2026
Wenxuan Huo, Qiang He, Greg Zhu, Jian Chen, Yang Hu, Weifeng Huang and Xihe Liu
affiliation not provided to SSRN, affiliation not provided to SSRN, Tsinghua University, affiliation not provided to SSRN, Beijing Jiaotong University, Independent and affiliation not provided to SSRN
Downloads 15 (1,500,778)

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Gradient-enhanced physics-informed neural networks, Higher-order derivative constraints, Hard constraints, Boundary element method