Yaohua Zang

According to our database, Yaohua Zang authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

DGNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling.

Yaohua Zang, Phaedon-Stelios Koutsourelakis

CoRR, February, 2025

DGenNO: a novel physics-aware neural operator for solving forward and inverse PDE problems based on deep, generative probabilistic modeling.

Yaohua Zang, Phaedon-Stelios Koutsourelakis

J. Comput. Phys., 2025

Solving optimal control problems of rigid-body dynamics with collisions using the hybrid minimum principle.

Wei Hu, Jihao Long, Yaohua Zang, Weinan E, Jiequn Han

Commun. Nonlinear Sci. Numer. Simul., 2025

2024

Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography.

Vincent C. Scholz, Yaohua Zang, Phaedon-Stelios Koutsourelakis

CoRR, 2024

2023

ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations.

Yaohua Zang, Gang Bao

CoRR, 2023

2022

Uncertainty-Driven Spiral Trajectory for Robotic Peg-in-Hole Assembly.

Hanwen Kang, Yaohua Zang, Xing Wang, Yaohui Chen

IEEE Robotics Autom. Lett., 2022

A Machine Learning Enhanced Algorithm for the Optimal Landing Problem.

Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2020

Weak adversarial networks for high-dimensional partial differential equations.

Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou

J. Comput. Phys., 2020

Numerical Solution of Inverse Problems by Weak Adversarial Networks.

Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou

CoRR, 2020