Zobrazeno 1 - 10
of 345
pro vyhledávání: '"Yuesheng Xu"'
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
Graph neural networks (GNNs) have gained significant attention in diverse domains, ranging from urban planning to pandemic management. Ensuring both accuracy and robustness in GNNs remains a challenge due to insufficient quality data that contains su
Externí odkaz:
https://doaj.org/article/e30db3d7907e4c898c76fd00458aee24
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 11, Pp 1-16 (2022)
Abstract We study the use of deep learning techniques to reconstruct the kinematics of the neutral current deep inelastic scattering (DIS) process in electron–proton collisions. In particular, we use simulated data from the ZEUS experiment at the H
Externí odkaz:
https://doaj.org/article/a8ebeeb7e0fb4136a8e676432680792f
Publikováno v:
Actuators, Vol 11, Iss 9, p 242 (2022)
Shape-memory alloy (SMA) honeycomb arrays have drawn worldwide attention for their potential active applications in smart morphing wings. However, the manufacturing of complex active SMA honeycomb arrays via conventional processes is a difficult task
Externí odkaz:
https://doaj.org/article/767aae616340488db2d8bbe5e4fc8f3b
Publikováno v:
Entropy, Vol 24, Iss 4, p 524 (2022)
Sample entropy, an approximation of the Kolmogorov entropy, was proposed to characterize complexity of a time series, which is essentially defined as −log(B/A), where B denotes the number of matched template pairs with length m and A denotes the nu
Externí odkaz:
https://doaj.org/article/321958f147a7439c9c8e67e48e65dcdb
Minimizing Compositions of Functions Using Proximity Algorithms with Application in Image Deblurring
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 2 (2016)
We consider minimization of functions that are compositions of functions having closed-form proximity operators with linear transforms. A wide range of image processing problems including image deblurring can be formulated in this way. We develop pro
Externí odkaz:
https://doaj.org/article/894eef83dfda44f5b0e620152d00ca7e
Autor:
Yuesheng Xu1 y1xu@odu.edu, Taishan Zeng2,3 zengtsh@m.scnu.edu.cn
Publikováno v:
Numerical Mathematics: Theory, Methods & Applications. Feb2023, Vol. 16 Issue 1, p58-78. 21p.
Autor:
Yuesheng Xu
Publikováno v:
Applied Numerical Mathematics. 187:138-157
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a32f2b8b4d94b5d7b34e0f636200484
https://doi.org/10.1016/j.apnum.2023.02.011
https://doi.org/10.1016/j.apnum.2023.02.011
Autor:
Jianfeng Guo, C. Ross Schmidtlein, Andrzej Krol, Si Li, Yizun Lin, Sangtae Ahn, Charles Stearns, Yuesheng Xu
Publikováno v:
IEEE Transactions on Medical Imaging. 41:3289-3300
We investigated the imaging performance of a fast convergent ordered-subsets algorithm with subiteration-dependent preconditioners (SDPs) for positron emission tomography (PET) image reconstruction. In particular, we considered the use of SDP with th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cb0535e6b92678cc73424b1b8ed3e60
https://doi.org/10.1109/tmi.2022.3181813
https://doi.org/10.1109/tmi.2022.3181813
Autor:
Gongfa, Jiang, Zilong, He, Yuanpin, Zhou, Jun, Wei, Yuesheng, Xu, Hui, Zeng, Jiefang, Wu, Genggeng, Qin, Weiguo, Chen, Yao, Lu
Publikováno v:
Medical Physics. 50:837-853
Synthetic digital mammogram (SDM) is a 2D image generated from digital breast tomosynthesis (DBT) and used as a substitute for a full-field digital mammogram (FFDM) to reduce the radiation dose for breast cancer screening. The previous deep learning-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c1fbb358de62cc680066384c8181c3f
https://doi.org/10.1002/mp.16007
https://doi.org/10.1002/mp.16007
Autor:
Yuesheng Xu, Haizhang Zhang
Publikováno v:
Neural Networks. 153:553-563
Convergence of deep neural networks as the depth of the networks tends to infinity is fundamental in building the mathematical foundation for deep learning. In a previous study, we investigated this question for deep ReLU networks with a fixed width.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbe45a2d2ac65838d3e75c246091c5d5
https://doi.org/10.1016/j.neunet.2022.06.031
https://doi.org/10.1016/j.neunet.2022.06.031