Jiahao Zhang

According to our database, Jiahao Zhang authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

A Relaxed Vector Auxiliary Variable Algorithm for Unconstrained Optimization Problems.

Shiheng Zhang, Jiahao Zhang, Jie Shen, Guang Lin

SIAM J. Sci. Comput., 2025

Energy-dissipative evolutionary Kolmogorov-Arnold networks for complex PDE systems.

Guang Lin, Changhong Mou, Jiahao Zhang

J. Comput. Phys., 2025

A self-adaptive energy-based learning rate for stochastic gradient descent via Vector Auxiliary Variable method.

Jiahao Zhang, Christian Moya, Guang Lin

Eng. Appl. Artif. Intell., 2025

2024

Energy-dissipative evolutionary deep operator neural networks.

Jiahao Zhang, Shiheng Zhang, Jie Shen, Guang Lin

J. Comput. Phys., February, 2024

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

Jiahao Zhang, Christian Moya, Guang Lin

CoRR, 2024

2023

An Element-wise RSAV Algorithm for Unconstrained Optimization Problems.

Shiheng Zhang, Jiahao Zhang, Jie Shen, Guang Lin

CoRR, 2023

2022

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

Jiahao Zhang, Shiqi Zhang, Guang Lin

CoRR, 2022

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

Jiahao Zhang, Shiqi Zhang, Guang Lin

CoRR, 2022

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

Jiahao Zhang, Shiqi Zhang, Guang Lin

CoRR, 2022