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ORCIDWei Zhu 0007
Person information
- affiliation: University of Massachusetts Amherst, Department of Mathematics and Statistics, MA, USA
- affiliation (former): Duke University, Department of Mathematics, USA
- affiliation (PhD 2017): University of California at Los Angeles, Department of Mathematics, CA, USA
Other persons with the same name
- Wei Zhu — disambiguation page
- Wei Zhu 0001 — Iowa State University, Department of Zoology and Genetics, Ames, IA, USA
- Wei Zhu 0002 — University of Texas at Dallas, TX, USA
- Wei Zhu 0003
![[0000-0001-5352-0251]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5352-0251")
— University of Alabama, Department of Mathematics, Tuscaloosa, AL, USA - Wei Zhu 0004 — Chongqing University of Posts and Telecommunications, Research Center for System Theory and Application, China (and 3 more)
- Wei Zhu 0005 — Mississippi State University, Starkville, MS, USA
- Wei Zhu 0006 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Wei Zhu 0008 — Stony Brook University, Department of Applied Mathematics and Statistics, Stony Brook, NY, USA
- Wei Zhu 0009 — PPTV Inc., Shanghai, China
- Wei Zhu 0010 — University of Kentucky, USA
- Wei Zhu 0011 — Los Alamos National Laboratory, Los Alamos, New Mexico, USA
- Wei Zhu 0012 — Tsinghua University, Beijing, China
- Wei Zhu 0013 — Beijing Institute of Technology, Intelligent Robotics Institute, China
- Wei Zhu 0014 — La Trobe University, Melbourne, Australia
- Wei Zhu 0015 — University of Rochester, Department of Computer Science, NY, USA (and 1 more)
- Wei Zhu 0016 — East China Normal University, Shanghai, China (and 1 more)
- Wei Zhu 0017 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Wei Zhu 0018 — University of Illinois at Urbana-Champaign, Department of Accountancy, Urbana, IL, USA
- Wei Zhu 0019 — Chang'an University, School of Water and Environment, Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Xi'an, China
- Wei Zhu 0020 — Central South University, School of Resources and Safety Engineering, Changsha, China
- Wei Zhu 0021 — Fudan University, State Key Laboratory of ASIC and System, Shanghai, China
- Wei Zhu 0022 — University of Padua, FISPPA Department, Padua, Italy (and 1 more)
- Wei Zhu 0023 — Lanzhou University, School of Economics, Lanzhou, China
- Wei Zhu 0024 — Shanghai Maritime University, School of Logistics Engineering, Shanghai, China
- Wei Zhu 0025 — Chang'an University, School of Electronic and Control Engineering, Xi'an, China (and 1 more)
- Wei Zhu 0026 — Tongji University, College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering, Shanghai, China
- Wei Zhu 0027 — Northwest Institute of Nuclear Technology, Verification Laboratory, Xi'an, China
- Wei Zhu 0028 — Tohoku University, Graduate School of Engineering, Department of Robotics, Sendai, Japan (and 1 more)
- Wei Zhu 0029 — Nanjing University of Science and Technology, Institute of Launch Dynamics, Nanjing, China
- Wei Zhu 0030 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
- Wei Zhu 0031 — Xiangtan University, Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan, China
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2020 – today
- 2022
[j8]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. J. Mach. Learn. Res. 23: 68:1-68:45 (2022)
2010 – 2019
- 2019
- [j7]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1(3): 476-496 (2019) - [j6]Zebin Wu, Wei Zhu, Jocelyn Chanussot, Yang Xu, Stanley J. Osher:
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background. IEEE Trans. Signal Process. 67(14): 3858-3869 (2019) - [i8]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. CoRR abs/1909.11193 (2019) - [i7]Wei Zhu, Ingrid Daubechies:
Constructing curvelet-like bases and low-redundancy frames. CoRR abs/1910.06418 (2019) - 2018
- [j5]Wei Zhu, Bao Wang, Richard C. Barnard, Cory D. Hauck, Frank Jenko, Stanley J. Osher:
Scientific data interpolation with low dimensional manifold model. J. Comput. Phys. 352: 213-245 (2018) - [j4]Zuoqiang Shi, Stanley J. Osher, Wei Zhu:
Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model. J. Sci. Comput. 75(2): 638-656 (2018) - [c4]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR 2018: 2743-2751 - [c3]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS 2018: 751-761 - [c2]Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images. WHISPERS 2018: 1-5 - [i6]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Learning with Data Dependent Implicit Activation Function. CoRR abs/1802.00168 (2018) - [i5]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR abs/1805.07291 (2018) - [i4]Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher:
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR abs/1809.08516 (2018) - 2017
- [b1]Wei Zhu:
Nonlocal Variational Methods in Image and Data Processing. University of California, Los Angeles, USA, 2017 - [j3]Zuoqiang Shi, Stanley J. Osher, Wei Zhu:
Weighted Nonlocal Laplacian on Interpolation from Sparse Data. J. Sci. Comput. 73(2-3): 1164-1177 (2017) - [j2]Stanley J. Osher, Zuoqiang Shi, Wei Zhu:
Low Dimensional Manifold Model for Image Processing. SIAM J. Imaging Sci. 10(4): 1669-1690 (2017) - [j1]Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso, Da Kuang:
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. IEEE Trans. Geosci. Remote. Sens. 55(5): 2786-2798 (2017) - [c1]Victoria Chayes, Kevin Miller, Rasika Bhalerao, Jiajie Luo, Wei Zhu, Andrea L. Bertozzi, Wenzhi Liao, Stanley J. Osher:
Pre-processing and classification of hyperspectral imagery via selective inpainting. ICASSP 2017: 6195-6199 - [i3]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR abs/1711.06246 (2017) - 2016
- [i2]Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Da Kuang, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso:
Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. CoRR abs/1604.08182 (2016) - [i1]Zuoqiang Shi, Wei Zhu, Stanley J. Osher:
Low dimensional manifold model in hyperspectral image reconstruction. CoRR abs/1605.05652 (2016)
Coauthor Index
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