Yaohua Zang

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A unified physics-informed generative operator framework for general inverse problems. CoRR Gang Bao, Yaohua Zang
2025	J	`jnl`	DGNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling. CoRR Yaohua Zang, Phaedon-Stelios Koutsourelakis
2025	J	`jnl`	DGenNO: a novel physics-aware neural operator for solving forward and inverse PDE problems based on deep, generative probabilistic modeling. J. Comput. Phys. Yaohua Zang, Phaedon-Stelios Koutsourelakis
2025	J	`jnl`	Solving optimal control problems of rigid-body dynamics with collisions using the hybrid minimum principle. Commun. Nonlinear Sci. Numer. Simul. Wei Hu, Jihao Long, Yaohua Zang, Weinan E, Jiequn Han
2024	J	`jnl`	Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography. CoRR Vincent C. Scholz, Yaohua Zang, Phaedon-Stelios Koutsourelakis
2023	J	`jnl`	ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations. CoRR Yaohua Zang, Gang Bao
2022	—	`conf`	A Machine Learning Enhanced Algorithm for the Optimal Landing Problem. MSML Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han
2022	J	`jnl`	Uncertainty-Driven Spiral Trajectory for Robotic Peg-in-Hole Assembly. IEEE Robotics Autom. Lett. Hanwen Kang, Yaohua Zang, Xing Wang, Yaohui Chen
2020	J	`jnl`	Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou
2020	J	`jnl`	Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
2019	J	`jnl`	Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou