Wei Zhu
Wei Zhu
Assistant Professor, Department of Mathematics and Statistics, University of Massachusetts Amherst
Verified email at math.umass.edu - Homepage
Title
Cited by
Cited by
Year
Low dimensional manifold model for image processing
S Osher, Z Shi, W Zhu
SIAM Journal on Imaging Sciences 10 (4), 1669-1690, 2017
872017
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
482017
Weighted nonlocal laplacian on interpolation from sparse data
Z Shi, S Osher, W Zhu
Journal of Scientific Computing 73 (2), 1164-1177, 2017
46*2017
Deep neural nets with interpolating function as output activation
B Wang, X Luo, Z Li, W Zhu, Z Shi, SJ Osher
arXiv preprint arXiv:1802.00168, 2018
272018
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
232019
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
232018
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
142018
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
142018
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
102018
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
9*2018
Low dimensional manifold model with semi-local patches
Z Shi, S Osher, W Zhu
UCLA CAM Report (16-63), 2016
82016
Deep learning with data dependent implicit activation function
B Wang, X Luo, Z Li, W Zhu, Z Shi, SJ Osher
arXiv preprint arXiv:1802.00168, 2018
52018
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters
W Zhu, Q Qiu, R Calderbank, G Sapiro, X Cheng
arXiv preprint arXiv:1909.11193, 2019
42019
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning
W Zhu, Q Qiu, B Wang, J Lu, G Sapiro, I Daubechies
SIAM Journal on Mathematics of Data Science 1 (3), 476-496, 2019
42019
Nonlocal Variational Methods in Image and Data Processing
W Zhu
UCLA, 2017
32017
Deep neural networks with data dependent implicit activation function
B Wang, X Luo, Z Li, W Zhu, Z Shi, S Osher
preparation, 2018
22018
Pre-processing and classification of hyperspectral imagery via selective inpainting
V Chayes, K Miller, R Bhalerao, J Luo, W Zhu, AL Bertozzi, W Liao, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
22017
Adversarial defense via the data-dependent activation, total variation minimization, and adversarial training
B Wang, A Lin, P Yin, W Zhu, AL Bertozzi, SJ Osher
Inverse Problems & Imaging 15 (1), 129, 2020
2020
Constructing curvelet-like bases and low-redundancy frames
W Zhu, I Daubechies
arXiv preprint arXiv:1910.06418, 2019
2019
Supplementary material: Deep Neural Nets with Interpolating Function as Output Activation
B Wang, X Luo, Z Li, W Zhu, Z Shi, SJ Osher
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