Wei Zhu
Wei Zhu
Assistant Professor, Department of Mathematics and Statistics, University of Massachusetts Amherst
Verified email at - Homepage
Cited by
Cited by
Low dimensional manifold model for image processing
S Osher, Z Shi, W Zhu
SIAM Journal on Imaging Sciences 10 (4), 1669-1690, 2017
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
Weighted nonlocal laplacian on interpolation from sparse data
Z Shi, S Osher, W Zhu
Journal of Scientific Computing 73 (2), 1164-1177, 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
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
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
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
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
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters
W Zhu, Q Qiu, R Calderbank, G Sapiro, X Cheng
arXiv preprint arXiv:1909.11193, 2019
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
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
Personalized fashion recommendation from personal social media data: An item-to-set metric learning approach
H Zheng, K Wu, JH Park, W Zhu, J Luo
2021 IEEE International Conference on Big Data (Big Data), 5014-5023, 2021
Low dimensional manifold model with semi-local patches
Z Shi, S Osher, W Zhu
UCLA CAM Report (16-63), 2016
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
W Zhu, H Zheng, H Liao, W Li, J Luo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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
Deep learning with data dependent implicit activation function
B Wang, X Luo, Z Li, W Zhu, Z Shi, SJ Osher
CoRR, abs/1802.00168, 2018
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
Nonlocal variational methods in image and data processing
W Zhu
University of California, Los Angeles, 2017
Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
W Li, W Zhu, ER Dorsey, J Luo
2020 IEEE International Conference on Data Mining (ICDM), 1106-1111, 2020
Deep neural networks with data dependent implicit activation function
B Wang, X Luo, Z Li, W Zhu, Z Shi, S Osher
preparation, 2018
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