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Yuning Wang
Yuning Wang
Engineering Mechanics, KTH Royal Institute of Technology
Verified email at kth.se
Title
Cited by
Cited by
Year
Physics-informed deep-learning applications to experimental fluid mechanics
H Eivazi, Y Wang, R Vinuesa
Measurement Science and Technology, 2022
302022
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows
A Solera-Rico, C Sanmiguel Vila, M Gómez-López, Y Wang, A Almashjary, ...
Nature Communications 15 (1), 1361, 2024
192024
Towards optimal β-variational autoencoders combined with transformers for reduced-order modelling of turbulent flows
Y Wang, A Solera-Rico, CS Vila, R Vinuesa
International Journal of Heat and Fluid Flow 105, 109254, 2024
42024
Easy attention: A simple self-attention mechanism for transformers
M Sanchis-Agudo, Y Wang, K Duraisamy, R Vinuesa
arXiv preprint arXiv:2308.12874, 2023
42023
A Deep-Learning Method Using Auto-encoder and Generative Adversarial Network for Anomaly Detection on Ancient Stone Stele Surfaces
Y Liu, Y Wang, C Liu
arXiv preprint arXiv:2308.04426, 2023
2023
Convolution-compacted visiontransformers forprediction of localwall heat flux atmultiple Prandtlnumbers in turbulentchannel flow
Y Wang
2023
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