| Low dimensional manifold model for image processing S Osher, Z Shi, W Zhu SIAM Journal on Imaging Sciences 10 (4), 1669-1690, 2017 | 186 | 2017 |
| Weighted nonlocal Laplacian on interpolation from sparse data Z Shi, S Osher, W Zhu Journal of Scientific Computing 73 (2), 1164-1177, 2017 | 105 | 2017 |
| Hyperspectral anomaly detection via global and local joint modeling of background Z Wu, W Zhu, J Chanussot, Y Xu, S Osher IEEE Transactions on Signal Processing 67 (14), 3858-3869, 2019 | 77 | 2019 |
| Unsupervised classification in hyperspectral imagery with nonlocal total variation and primal-dual hybrid gradient algorithm W Zhu, V Chayes, A Tiard, S Sanchez, D Dahlberg, AL Bertozzi, S Osher, ... IEEE Transactions on Geoscience and Remote Sensing 55 (5), 2786-2798, 2017 | 70 | 2017 |
| LDMNet: Low dimensional manifold regularized neural networks W Zhu, Q Qiu, J Huang, R Calderbank, G Sapiro, I Daubechies Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 64 | 2018 |
| Scaling-translation-equivariant networks with decomposed convolutional filters W Zhu, Q Qiu, R Calderbank, G Sapiro, X Cheng Journal of machine learning research 23 (68), 1-45, 2022 | 54* | 2022 |
| 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 | 41 | 2018 |
| Neural networks enforcing physical symmetries in nonlinear dynamical lattices: The case example of the Ablowitz–Ladik model W Zhu, W Khademi, EG Charalampidis, PG Kevrekidis Physica D: Nonlinear Phenomena 434, 133264, 2022 | 39 | 2022 |
| Discovering governing equations in discrete systems using PINNs S Saqlain, W Zhu, EG Charalampidis, PG Kevrekidis Communications in Nonlinear Science and Numerical Simulation 126, 107498, 2023 | 34 | 2023 |
| Structure-preserving GANs J Birrell, M Katsoulakis, L Rey-Bellet, W Zhu International Conference on Machine Learning 162, 1982-2020, 2022 | 29 | 2022 |
| Adversarial defense via data dependent activation function and total variation minimization B Wang, AT Lin, W Zhu, P Yin, AL Bertozzi, SJ Osher arXiv preprint arXiv:1809.08516, 2018 | 27 | 2018 |
| Generalization of the weighted nonlocal laplacian in low dimensional manifold model Z Shi, S Osher, W Zhu Journal of Scientific Computing 75 (2), 638-656, 2018 | 27 | 2018 |
| Sample complexity of probability divergences under group symmetry Z Chen, M Katsoulakis, L Rey-Bellet, W Zhu International Conference on Machine Learning, 4713-4734, 2023 | 23 | 2023 |
| Scientific data interpolation with low dimensional manifold model W Zhu, B Wang, R Barnard, CD Hauck, F Jenko, S Osher Journal of Computational Physics 352, 213-245, 2018 | 17 | 2018 |
| Scalable low dimensional manifold model in the reconstruction of noisy and incomplete hyperspectral images W Zhu, Z Shi, S Osher 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018 | 16* | 2018 |
| Machine learning of independent conservation laws through neural deflation W Zhu, HK Zhang, PG Kevrekidis Physical Review E 108 (2), L022301, 2023 | 15 | 2023 |
| Deformation robust roto-scale-translation equivariant CNNs L Gao, G Lin, W Zhu arXiv preprint arXiv:2111.10978, 2021 | 11 | 2021 |
| Adversarial defense via the data-dependent activation, total variation minimization, and adversarial training B Wang, A Lin, P Yin, W Zhu, A L Bertozzi, S J Osher Inverse Problems & Imaging, 2020 | 9 | 2020 |
| Low dimensional manifold model with semi-local patches Z Shi, S Osher, W Zhu UCLA CAM Report (16-63), 2016 | 9 | 2016 |
| On the implicit bias of linear equivariant steerable networks Z Chen, W Zhu Advances in Neural Information Processing Systems 36, 6132-6155, 2023 | 8 | 2023 |
S osherVerified email at math.ucla.edu
