Jiahao Zhang

Orcid: 0009-0002-3705-2683

Affiliations:
  • Purdue University, Department of Mathematics, IN, USA


According to our database1, Jiahao Zhang authored at least 11 papers between 2022 and 2026.

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

2026
Weak-Form Evolutionary Kolmogorov-Arnold Networks for Solving Partial Differential Equations.
CoRR, February, 2026

2025
BEKAN: Boundary condition-guaranteed evolutionary Kolmogorov-Arnold networks with radial basis functions for solving PDE problems.
CoRR, October, 2025

A Relaxed Vector Auxiliary Variable Algorithm for Unconstrained Optimization Problems.
SIAM J. Sci. Comput., 2025

Energy-dissipative evolutionary Kolmogorov-Arnold networks for complex PDE systems.
J. Comput. Phys., 2025

A self-adaptive energy-based learning rate for stochastic gradient descent via Vector Auxiliary Variable method.
Eng. Appl. Artif. Intell., 2025

2024
Energy-dissipative evolutionary deep operator neural networks.
J. Comput. Phys., February, 2024

An Energy-Based Self-Adaptive Learning Rate for Stochastic Gradient Descent: Enhancing Unconstrained Optimization with VAV method.
CoRR, 2024

2023
An Element-wise RSAV Algorithm for Unconstrained Optimization Problems.
CoRR, 2023

2022
RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification.
CoRR, 2022

MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems.
CoRR, 2022

PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations.
CoRR, 2022


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