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Tak Shing Au Yeung

T. S. Au Yeung

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Journal Articles

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2023
[j3]
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  - journals/neco/YeungCNSY23
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  - https://dblp.org/rec/journals/neco/YeungCNSY23
Tak Shing Au Yeung, Ka Chun Cheung, Michael K. Ng, Simon See, Andy M. Yip:
Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. Neural Comput. 35(10): 1678-1712 (2023)
2022
[j2]
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Tak Shing Au Yeung, Ka Chun Cheung, Eric T. Chung, Shubin Fu, Jianliang Qian:
Learning rays via deep neural network in a ray-based IPDG method for high-frequency Helmholtz equations in inhomogeneous media. J. Comput. Phys. 465: 111380 (2022)
2019
[j1]
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  - journals/siamis/YeungCU19
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T. S. Au Yeung, Eric T. Chung, Gunther Uhlmann:
Numerical Inversion of Three-Dimensional Geodesic X-Ray Transform Arising from Travel Time Tomography. SIAM J. Imaging Sci. 12(3): 1296-1323 (2019)

Informal and Other Publications

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2021
[i2]
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  - journals/corr/abs-2106-10523
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Tak Shing Au Yeung, Ka Chun Cheung, Eric T. Chung, Shubin Fu, Jianliang Qian:
Learning Rays via Deep Neural Network in a Ray-based IPDG Method for High-Frequency Helmholtz Equations in Inhomogeneous Media. CoRR abs/2106.10523 (2021)
2020
[i1]
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  - journals/corr/abs-2007-03432
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Tak Shing Au Yeung, Eric T. Chung, Simon See:
A deep learning based nonlinear upscaling method for transport equations. CoRR abs/2007.03432 (2020)

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