Suivre
Zuoqiang Shi
Zuoqiang Shi
Professor, Yau Mathematical Sciences Center, Tsinghua University
Adresse e-mail validée de tsinghua.edu.cn - Page d'accueil
Titre
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Année
Adaptive data analysis via sparse time-frequency representation
TY Hou, Z Shi
Advances in Adaptive Data Analysis 3 (01n02), 1-28, 2011
1942011
Data-driven time–frequency analysis
TY Hou, Z Shi
Applied and Computational Harmonic Analysis 35 (2), 284-308, 2013
1922013
Data-driven time–frequency analysis
TY Hou, Z Shi
Applied and Computational Harmonic Analysis 35 (2), 284-308, 2013
1922013
Low dimensional manifold model for image processing
S Osher, Z Shi, W Zhu
SIAM Journal on Imaging Sciences 10 (4), 1669-1690, 2017
1492017
Identification of time‐varying cable tension forces based on adaptive sparse time‐frequency analysis of cable vibrations
Y Bao, Z Shi, JL Beck, H Li, TY Hou
Structural Control and Health Monitoring 24 (3), e1889, 2017
1032017
Solitary waves bifurcated from Bloch-band edges in two-dimensional periodic media
Z Shi, J Yang
Physical Review E 75 (5), 056602, 2007
792007
Weighted nonlocal laplacian on interpolation from sparse data
Z Shi, S Osher, W Zhu
Journal of Scientific Computing 73, 1164-1177, 2017
752017
MAGIC: Manifold and graph integrative convolutional network for low-dose CT reconstruction
W Xia, Z Lu, Y Huang, Z Shi, Y Liu, H Chen, Y Chen, J Zhou, Y Zhang
IEEE transactions on medical imaging 40 (12), 3459-3472, 2021
712021
An efficient semi-implicit immersed boundary method for the Navier–Stokes equations
TY Hou, Z Shi
Journal of Computational Physics 227 (20), 8968-8991, 2008
612008
Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring
Y Bao, Z Shi, X Wang, H Li
Structural Health Monitoring 17 (4), 823-836, 2018
602018
Point integral method for solving poisson-type equations on manifolds from point clouds with convergence guarantees
Z Li, Z Shi, J Sun
Communications in Computational Physics 22 (1), 228-258, 2017
582017
Resnets ensemble via the feynman-kac formalism to improve natural and robust accuracies
B Wang, Z Shi, S Osher
Advances in Neural Information Processing Systems 32, 2019
562019
Removing the stiffness of elastic force from the immersed boundary method for the 2D Stokes equations
TY Hou, Z Shi
Journal of Computational Physics 227 (21), 9138-9169, 2008
492008
Convergence of a data-driven time–frequency analysis method
TY Hou, Z Shi, P Tavallali
Applied and Computational Harmonic Analysis 37 (2), 235-270, 2014
482014
Deep residual learning and pdes on manifold
Z Li, Z Shi
arXiv preprint arXiv:1708.05115, 2017
472017
Task-oriented feature distillation
L Zhang, Y Shi, Z Shi, K Ma, C Bao
Advances in Neural Information Processing Systems 33, 14759-14771, 2020
432020
Deep neural nets with interpolating function as output activation
B Wang, X Luo, Z Li, W Zhu, Z Shi, S Osher
Advances in neural information processing systems 31, 2018
402018
Auxiliary training: Towards accurate and robust models
L Zhang, M Yu, T Chen, Z Shi, C Bao, K Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
392020
A convergent point integral method for isotropic elliptic equations on a point cloud
Z Li, Z Shi
Multiscale Modeling & Simulation 14 (2), 874-905, 2016
382016
Extracting a shape function for a signal with intra-wave frequency modulation
TY Hou, Z Shi
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016
372016
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