Wei Zhu

Orcid: 0000-0002-9181-5103

Affiliations:
  • University of Massachusetts Amherst, Department of Mathematics and Statistics, MA, USA
  • Duke University, Department of Mathematics, USA (former)
  • University of California at Los Angeles, Department of Mathematics, CA, USA (PhD 2017)


According to our database1, Wei Zhu authored at least 18 papers between 2016 and 2022.

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Timeline

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Bibliography

2022
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters.
J. Mach. Learn. Res., 2022

2019
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background.
IEEE Trans. Signal Process., 2019

Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning.
SIAM J. Math. Data Sci., 2019

Constructing curvelet-like bases and low-redundancy frames.
CoRR, 2019

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters.
CoRR, 2019

2018
Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model.
J. Sci. Comput., 2018

Scientific data interpolation with low dimensional manifold model.
J. Comput. Phys., 2018

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization.
CoRR, 2018

Deep Learning with Data Dependent Implicit Activation Function.
CoRR, 2018

Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Deep Neural Nets with Interpolating Function as Output Activation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

LDMNet: Low Dimensional Manifold Regularized Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Nonlocal Variational Methods in Image and Data Processing.
PhD thesis, 2017

Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2017

Low Dimensional Manifold Model for Image Processing.
SIAM J. Imaging Sci., 2017

Weighted Nonlocal Laplacian on Interpolation from Sparse Data.
J. Sci. Comput., 2017

Pre-processing and classification of hyperspectral imagery via selective inpainting.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Low dimensional manifold model in hyperspectral image reconstruction.
CoRR, 2016


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