Wei Zhu - RankMe

28 papers A* 4Misc 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Statistical Guarantees of Group-Invariant GANs. SIAM/ASA J. Uncertain. Quantification Ziyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2024	J	`jnl`	Learning heavy-tailed distributions with Wasserstein-proximal-regularized α-divergences. CoRR Ziyu Chen, Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2024	J	`jnl`	Nonlinear denoising score matching for enhanced learning of structured distributions. CoRR Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu
2023	A*	`conf`	Sample Complexity of Probability Divergences under Group Symmetry. ICML Ziyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2023	J	`jnl`	Statistical Guarantees of Group-Invariant GANs. CoRR Ziyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2022	J	`jnl`	Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. J. Mach. Learn. Res. Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng
2022	A*	`conf`	Structure-preserving GANs. ICML Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2022	J	`jnl`	Structure-preserving GANs. CoRR Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu
2019	J	`jnl`	Constructing curvelet-like bases and low-redundancy frames. CoRR Wei Zhu, Ingrid Daubechies
2019	J	`jnl`	Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background. IEEE Trans. Signal Process. Zebin Wu, Wei Zhu, Jocelyn Chanussot, Yang Xu, Stanley J. Osher
2019	J	`jnl`	Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. CoRR Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng
2019	J	`jnl`	Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
2018	J	`jnl`	Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher
2018	J	`jnl`	Deep Learning with Data Dependent Implicit Activation Function. CoRR Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	A*	`conf`	Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	J	`jnl`	Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model. J. Sci. Comput. Zuoqiang Shi, Stanley J. Osher, Wei Zhu
2018	A*	`conf`	LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies
2018	—	`conf`	Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images. WHISPERS Wei Zhu, Zuoqiang Shi, Stanley J. Osher
2018	J	`jnl`	Scientific data interpolation with low dimensional manifold model. J. Comput. Phys. Wei Zhu, Bao Wang, Richard C. Barnard, Cory D. Hauck, Frank Jenko, Stanley J. Osher
2018	J	`jnl`	Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
2017	J	`jnl`	LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies
2017	J	`jnl`	Low Dimensional Manifold Model for Image Processing. SIAM J. Imaging Sci. Stanley J. Osher, Zuoqiang Shi, Wei Zhu
2017	—	`—`	Nonlocal Variational Methods in Image and Data Processing. Wei Zhu
2017	Misc	`conf`	Pre-processing and classification of hyperspectral imagery via selective inpainting. ICASSP Victoria Chayes, Kevin Miller, Rasika Bhalerao, Jiajie Luo, Wei Zhu, Andrea L. Bertozzi, Wenzhi Liao, Stanley J. Osher
2017	J	`jnl`	Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. IEEE Trans. Geosci. Remote. Sens. Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso, Da Kuang
2017	J	`jnl`	Weighted Nonlocal Laplacian on Interpolation from Sparse Data. J. Sci. Comput. Zuoqiang Shi, Stanley J. Osher, Wei Zhu
2016	J	`jnl`	Low dimensional manifold model in hyperspectral image reconstruction. CoRR Zuoqiang Shi, Wei Zhu, Stanley J. Osher
2016	J	`jnl`	Unsupervised Classification in Hyperspectral Imagery with Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm. CoRR Wei Zhu, Victoria Chayes, Alexandre Tiard, Stephanie Sánchez, Devin Dahlberg, Da Kuang, Andrea L. Bertozzi, Stanley J. Osher, Dominique Zosso