Zhangyong Liang

According to our database, Zhangyong Liang authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations.

Zhangyong Liang

CoRR, May, 2026

Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty.

Zhangyong Liang, Huanhuan Gao

CoRR, April, 2026

Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes.

Zhangyong Liang

CoRR, April, 2026

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains.

Zhangyong Liang

CoRR, April, 2026

Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs.

Zhangyong Liang

CoRR, March, 2026

Constitutive parameterized deep energy method for solid mechanics problems with random material parameters.

Zhangyong Liang, Huanhuan Gao

CoRR, March, 2026

Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs.

Zhangyong Liang, Ji Zhang

CoRR, March, 2026

Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks.

Zhangyong Liang, Ji Zhang

CoRR, March, 2026

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs.

Zhangyong Liang, Ji Zhang

CoRR, March, 2026

2025

Neural Multiscale Decomposition for Solving The Nonlinear Klein-Gordon Equation.

Zhangyong Liang, Zhiping Mao, Xiaofei Zhao

CoRR, December, 2025

Error Estimate and Convergence Analysis for Data Valuation.

Zhangyong Liang, Huanhuan Gao, Ji Zhang

CoRR, November, 2025

2024

Neural Dynamic Data Valuation.

Zhangyong Liang, Huanhuan Gao, Ji Zhang

CoRR, 2024