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Year
Weak adversarial networks for high-dimensional partial differential equations
Y Zang, G Bao, X Ye, H Zhou
Journal of Computational Physics 411, 109409, 2020
3912020
Numerical solution of inverse problems by weak adversarial networks
G Bao, X Ye, Y Zang, H Zhou
Inverse Problems 36 (11), 115003, 2020
772020
Uncertainty-driven spiral trajectory for robotic peg-in-hole assembly
H Kang, Y Zang, X Wang, Y Chen
IEEE Robotics and Automation Letters 7 (3), 6661-6668, 2022
262022
A machine learning enhanced algorithm for the optimal landing problem
Y Zang, J Long, X Zhang, W Hu, E Weinan, J Han
Mathematical and Scientific Machine Learning, 319-334, 2022
52022
ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations
Y Zang, G Bao
arXiv preprint arXiv:2305.12433, 2023
22023
A jump stochastic differential equation approach for influence prediction on heterogenous networks
Y Zang, G Bao, X Ye, H Zha, H Zhou
Communications in Mathematical Sciences 18 (8), 2341-2359, 2020
22020
Solving optimal control of rigid-body dynamics with collisions using the hybrid minimum principle
W Hu, J Long, Y Zang, J Han
arXiv preprint arXiv:2205.08622, 2022
12022
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography
VC Scholz, Y Zang, PS Koutsourelakis
Computer Methods in Applied Mechanics and Engineering 433, 117493, 2025
2025
PSP-GEN: Stochastic inversion of the Process-Structure-Property chain in materials design through deep, generative probabilistic modeling
Y Zang, PS Koutsourelakis
arXiv preprint arXiv:2408.01114, 2024
2024
Inverse Weak Adversarial Networks (IWAN): A Computational Method for High-dimensional Inverse Problems
HM Zhou, G Bao, X Ye, Y Zang
2021 Spring Southeastern Virtual Sectional Meeting, 0
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