| Adaptive data analysis via sparse time-frequency representation TY Hou, Z Shi Advances in Adaptive Data Analysis 3 (01n02), 1-28, 2011 | 171 | 2011 |
| Data-driven time–frequency analysis TY Hou, Z Shi Applied and Computational Harmonic Analysis 35 (2), 284-308, 2013 | 167 | 2013 |
| Data-driven time–frequency analysis TY Hou, Z Shi Applied and Computational Harmonic Analysis 35 (2), 284-308, 2013 | 167 | 2013 |
| Low dimensional manifold model for image processing S Osher, Z Shi, W Zhu SIAM Journal on Imaging Sciences 10 (4), 1669-1690, 2017 | 120 | 2017 |
| Solitary waves bifurcated from Bloch-band edges in two-dimensional periodic media Z Shi, J Yang Physical Review E 75 (5), 056602, 2007 | 74 | 2007 |
| 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 | 63 | 2017 |
| 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 | 57 | 2008 |
| Weighted nonlocal laplacian on interpolation from sparse data Z Shi, S Osher, W Zhu Journal of Scientific Computing 73 (2), 1164-1177, 2017 | 51 | 2017 |
| 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 | 49 | 2017 |
| 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 | 46 | 2008 |
| 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 | 44 | 2019 |
| Deep residual learning and pdes on manifold Z Li, Z Shi arXiv preprint arXiv:1708.05115, 2017 | 43 | 2017 |
| 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 | 41 | 2014 |
| 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 | 40 | 2018 |
| 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 | 38 | 2018 |
| On singularity formation of a 3D model for incompressible Navier–Stokes equations TY Hou, Z Shi, S Wang Advances in Mathematics 230 (2), 607-641, 2012 | 34 | 2012 |
| 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 | 31 | 2016 |
| 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 | 31 | 2016 |
| Linear instability of two-dimensional low-amplitude gap solitons near band edges in periodic media Z Shi, J Wang, Z Chen, J Yang Physical Review A 78 (6), 063812, 2008 | 28 | 2008 |
| Convergence of Laplacian spectra from random samples Z Shi arXiv preprint arXiv:1507.00151, 2015 | 24 | 2015 |
