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Only Train Once: A One-Shot Neural Network Training And Pruning Framework


Jul 15, 2021
Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

* Under Review 

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A Geometric Analysis of Neural Collapse with Unconstrained Features


May 06, 2021
Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

* 42 pages, 8 figures, 1 table; the first two authors contributed to this work equally 

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CDFI: Compression-Driven Network Design for Frame Interpolation


Mar 28, 2021
Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov

* To appear in the proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 

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Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training


Mar 01, 2021
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

* SL and XL contributed equally to this work; 23 pages, 6 figures, 6 tables 

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Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization


Jun 16, 2020
Chong You, Zhihui Zhu, Qing Qu, Yi Ma


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Recovery and Generalization in Over-Realized Dictionary Learning


Jun 11, 2020
Jeremias Sulam, Chong You, Zhihui Zhu


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Orthant Based Proximal Stochastic Gradient Method for $\ell_1$-Regularized Optimization


Apr 07, 2020
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu


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Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications


Jan 20, 2020
Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal

* QQ and ZZ contributed equally to the work. Invited review paper for IEEE Signal Processing Magazine Special Issue on non-convex optimization for signal processing and machine learning. This article contains 26 pages with 11 figures 

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Analysis of the Optimization Landscapes for Overcomplete Representation Learning


Dec 10, 2019
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu

* 68 pages, 5 figures 

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Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods


Dec 05, 2019
Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man Cho So


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Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification


Dec 03, 2019
Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Weishi Zheng, Xing Sun


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A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution


Sep 05, 2019
Qing Qu, Xiao Li, Zhihui Zhu

* 61 pages, 6 figures; short version accepted as a spotlight paper at NeurIPS'19; long version submitted to FoCM 

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Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems


Apr 22, 2019
Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin


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Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms


Dec 24, 2018
Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, Rene Vidal, Manolis C. Tsakiris


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Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization


Nov 14, 2018
Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li

* Accepted in NIPS 2018 

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Global Optimality in Distributed Low-rank Matrix Factorization


Nov 07, 2018
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin


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The Global Optimization Geometry of Shallow Linear Neural Networks


Nov 05, 2018
Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin


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Online Learning Sensing Matrix and Sparsifying Dictionary Simultaneously for Compressive Sensing


Jun 02, 2018
Tao Hong, Zhihui Zhu

* 6 figures, 2 tables 

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Designing Sparse Sensing Matrices for Image Compression


Dec 08, 2017
Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li

* 2 tables, 6 figures 

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An Efficient Method for Robust Projection Matrix Design


Sep 06, 2017
Tao Hong, Zhihui Zhu

* 8 figures, 4 tables 

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Geometry of Factored Nuclear Norm Regularization


Apr 05, 2017
Qiuwei Li, Zhihui Zhu, Gongguo Tang


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