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Zhihui Zhu
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2020 – today
- 2024
- [j44]Zhen Qin
, Xuwei Tan
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. IEEE Signal Process. Lett. 31: 795-799 (2024) - [j43]Zhen Qin
Quantum State Tomography for Matrix Product Density Operators. IEEE Trans. Inf. Theory 70(7): 5030-5056 (2024) - [j42]Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu:
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. Trans. Mach. Learn. Res. 2024 (2024) - [c46]Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CVPR 2024: 8342-8351 - [c45]Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu
A Global Geometric Analysis of Maximal Coding Rate Reduction. ICML 2024 - [c44]Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu
Generalized Neural Collapse for a Large Number of Classes. ICML 2024 - [c43]Chao Huang, Yibei Guo, Zhihui Zhu, Mei Si, Daniel Blankenberg, Rui Liu:
Quantum Exploration-based Reinforcement Learning for Efficient Robot Path Planning in Sparse-Reward Environment. RO-MAN 2024: 516-521 - [i59]Zhen Qin, Michael B. Wakin, Zhihui Zhu:
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. CoRR abs/2401.02592 (2024) - [i58]Xi Chen, Zhihui Zhu, Andrew Perrault:
The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning. CoRR abs/2401.05710 (2024) - [i57]Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang:
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR abs/2404.08292 (2024) - [i56]Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma:
A Global Geometric Analysis of Maximal Coding Rate Reduction. CoRR abs/2406.01909 (2024) - [i55]Zhen Qin, Zhihui Zhu:
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition. CoRR abs/2406.06002 (2024) - [i54]Jiachen Jiang, Jinxin Zhou, Zhihui Zhu:
On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier. CoRR abs/2406.14479 (2024) - 2023
- [j41]Haiyun Guo, Huayu Yang, Guojing Yuan, Zhihui Zhu, Kexin Zhang, Xueqing Zhang, Xiaoyan Lu, Jianghui Zhang, Jun Du, Haiyan Shi, Guifang Jin, Jiahu Hao, Ying Sun, Puyu Su, Zhihua Zhang:
Effectiveness of information and communication technology(ICT) for addictive behaviors: An umbrella review of systematic reviews and meta-analysis of randomized controlled trials. Comput. Hum. Behav. 147: 107843 (2023) - [j40]Zhihui Zhu, Meifang Zhu:
The usage of internet of things in healthcare: A review of mechanisms, platforms, and opportunities from a new perspective. J. Intell. Fuzzy Syst. 45(1): 1269-1288 (2023) - [j39]Chong Wang
Seismic Data Reconstruction and Denoising by Enhanced Hankel Low-Rank Matrix Estimation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j38]Xiao Li
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 35(3): 2206-2219 (2023) - [c42]Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov:
OTOv2: Automatic, Generic, User-Friendly. ICLR 2023 - [i53]Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu:
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. CoRR abs/2301.10499 (2023) - [i52]Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov:
OTOV2: Automatic, Generic, User-Friendly. CoRR abs/2303.06862 (2023) - [i51]Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu:
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. CoRR abs/2306.01154 (2023) - [i50]Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu:
Stable Tomography for Structured Quantum States. CoRR abs/2306.09432 (2023) - [i49]Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu:
Generalized Neural Collapse for a Large Number of Classes. CoRR abs/2310.05351 (2023) - [i48]Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby:
On the connection between least squares, regularization, and classical shadows. CoRR abs/2310.16921 (2023) - [i47]Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. CoRR abs/2311.02960 (2023) - [i46]Zhen Qin, Xuwei Tan, Zhihui Zhu:
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. CoRR abs/2311.14658 (2023) - [i45]Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR abs/2312.00210 (2023) - [i44]Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang:
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. CoRR abs/2312.00678 (2023) - [i43]Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang:
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators. CoRR abs/2312.09411 (2023) - 2022
- [j37]Jeremias Sulam, Chong You, Zhihui Zhu:
Recovery and Generalization in Over-Realized Dictionary Learning. J. Mach. Learn. Res. 23: 135:1-135:23 (2022) - [c41]Haiyan Yu, Zhen Qin
Learning Approach For Fast Approximate Matrix Factorizations. ICASSP 2022: 5408-5412 - [c40]Sheng Liu, Zhihui Zhu, Qing Qu, Chong You:
Robust Training under Label Noise by Over-parameterization. ICML 2022: 14153-14172 - [c39]Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu:
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. ICML 2022: 27179-27202 - [c38]Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma:
Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS 2022 - [c37]Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu:
Error Analysis of Tensor-Train Cross Approximation. NeurIPS 2022 - [c36]Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu:
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. NeurIPS 2022 - [c35]Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu:
Are All Losses Created Equal: A Neural Collapse Perspective. NeurIPS 2022 - [i42]Sheng Liu, Zhihui Zhu, Qing Qu, Chong You:
Robust Training under Label Noise by Over-parameterization. CoRR abs/2202.14026 (2022) - [i41]Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. CoRR abs/2203.01238 (2022) - [i40]Zhen Qin
Error Analysis of Tensor-Train Cross Approximation. CoRR abs/2207.04327 (2022) - [i39]Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov:
Sparsity-guided Network Design for Frame Interpolation. CoRR abs/2209.04551 (2022) - [i38]Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu:
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. CoRR abs/2209.09211 (2022) - [i37]Lijun Ding, Zhen Qin
A Validation Approach to Over-parameterized Matrix and Image Recovery. CoRR abs/2209.10675 (2022) - [i36]Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu:
Are All Losses Created Equal: A Neural Collapse Perspective. CoRR abs/2210.02192 (2022) - [i35]Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma:
Revisiting Sparse Convolutional Model for Visual Recognition. CoRR abs/2210.12945 (2022) - [i34]Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. CoRR abs/2212.12206 (2022) - 2021
- [j36]Xiao Li, Shixiang Chen
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM J. Optim. 31(3): 1605-1634 (2021) - [j35]Yansheng Li
Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification. IEEE Trans. Cybern. 51(4): 1756-1768 (2021) - [j34]Yansheng Li
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10590-10603 (2021) - [j33]Zhihui Zhu
The Global Optimization Geometry of Low-Rank Matrix Optimization. IEEE Trans. Inf. Theory 67(2): 1308-1331 (2021) - [j32]Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang
Factor-Bounded Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 15(6): 111:1-111:18 (2021) - [c34]Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson:
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS 2021: 2944-2952 - [c33]Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov:
CDFI: Compression-Driven Network Design for Frame Interpolation. CVPR 2021: 8001-8011 - [c32]Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson:
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML 2021: 2739-2748 - [c31]Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu:
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. NeurIPS 2021: 19637-19651 - [c30]Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu:
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. NeurIPS 2021: 26767-26778 - [c29]Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu:
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. NeurIPS 2021: 28919-28928 - [c28]Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu:
A Geometric Analysis of Neural Collapse with Unconstrained Features. NeurIPS 2021: 29820-29834 - [i33]Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. CoRR abs/2103.00673 (2021) - [i32]Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov:
CDFI: Compression-Driven Network Design for Frame Interpolation. CoRR abs/2103.10559 (2021) - [i31]Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR abs/2105.02375 (2021) - [i30]Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu:
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. CoRR abs/2107.07467 (2021) - [i29]Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu:
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR abs/2109.11154 (2021) - 2020
- [j31]Hao Yan
Diverse Region-Based CNN for Tongue Squamous Cell Carcinoma Classification With Raman Spectroscopy. IEEE Access 8: 127313-127328 (2020) - [j30]Zhihui Zhu
The Global Optimization Geometry of Shallow Linear Neural Networks. J. Math. Imaging Vis. 62(3): 279-292 (2020) - [j29]Shuaiqi Liu
A new focus evaluation operator based on max-min filter and its application in high quality multi-focus image fusion. Multidimens. Syst. Signal Process. 31(2): 569-590 (2020) - [j28]Weiqi Zheng
Experimental Study on Vibration Characteristics of Unit-Plate Ballastless Track Systems Laid on Long-Span Bridges Using Full-Scale Test Rigs. Sensors 20(6): 1744 (2020) - [j27]Qing Qu
Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent. SIAM J. Imaging Sci. 13(3): 1630-1652 (2020) - [j26]Xiao Li, Zhihui Zhu, Anthony Man-Cho So
Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. 30(1): 660-686 (2020) - [j25]Shuang Li
The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. 27: 1400-1404 (2020) - [j24]Qianru Jiang
Design of Compressed Sensing System With Probability-Based Prior Information. IEEE Trans. Multim. 22(3): 594-609 (2020) - [c27]Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun, Wei-Shi Zheng:
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. AAAI 2020: 13114-13121 - [c26]Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris:
Robust Homography Estimation via Dual Principal Component Pursuit. CVPR 2020: 6079-6088 - [c25]Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang
Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. ICLR 2020 - [c24]Chong You, Zhihui Zhu, Qing Qu, Yi Ma:
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS 2020 - [c23]Tianyi Chen
Orthant Based Proximal Stochastic Gradient Method for ℓ 1-Regularized Optimization. ECML/PKDD (3) 2020: 57-73 - [i28]Qing Qu
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR abs/2001.06970 (2020) - [i27]Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu:
Orthant Based Proximal Stochastic Gradient Method for 𝓁1-Regularized Optimization. CoRR abs/2004.03639 (2020) - [i26]Jeremias Sulam, Chong You, Zhihui Zhu:
Recovery and Generalization in Over-Realized Dictionary Learning. CoRR abs/2006.06179 (2020) - [i25]Chong You, Zhihui Zhu, Qing Qu, Yi Ma:
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR abs/2006.08857 (2020)
2010 – 2019
- 2019
- [j23]Shuaiqi Liu
Multi-Focus Image Fusion Based on Adaptive Dual-Channel Spiking Cortical Model in Non-Subsampled Shearlet Domain. IEEE Access 7: 56367-56388 (2019) - [j22]Xingwang Sheng, Weiqi Zheng
Mechanical Behaviors and Fatigue Performances of Ballastless Tracks Laid on Long-Span Cable-Stayed Bridges with Different Arrangements. Sensors 19(19): 4195 (2019) - [j21]Tao Hong, Xiao Li, Zhihui Zhu
Optimized structured sparse sensing matrices for compressive sensing. Signal Process. 159: 119-129 (2019) - [j20]Chong Wang
Hankel Low-Rank Approximation for Seismic Noise Attenuation. IEEE Trans. Geosci. Remote. Sens. 57(1): 561-573 (2019) - [j19]Shuaiqi Liu
Speckle Suppression Based on Weighted Nuclear Norm Minimization and Grey Theory. IEEE Trans. Geosci. Remote. Sens. 57(5): 2700-2708 (2019) - [c22]Qing Qu
Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach. ACSSC 2019: 640-644 - [c21]Qiuwei Li, Zhihui Zhu, Michael B. Wakin, Gongguo Tang:
The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. ACSSC 2019: 1217-1221 - [c20]Qiuwei Li, Xinshuo Yang
The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. CAMSAP 2019: 16-20 - [c19]Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
The Geometry of Equality-constrained Global Consensus Problems. ICASSP 2019: 7928-7932 - [c18]Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal:
Noisy Dual Principal Component Pursuit. ICML 2019: 1617-1625 - [c17]Qiuwei Li, Zhihui Zhu, Gongguo Tang:
Alternating Minimizations Converge to Second-Order Optimal Solutions. ICML 2019: 3935-3943 - [c16]Yansheng Li
Learning Deep Networks under Noisy Labels for Remote Sensing Image Scene Classification. IGARSS 2019: 3025-3028 - [c15]Qing Qu, Xiao Li, Zhihui Zhu:
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. NeurIPS 2019: 4017-4028 - [c14]Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin:
Distributed Low-rank Matrix Factorization With Exact Consensus. NeurIPS 2019: 8420-8430 - [c13]Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal:
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS 2019: 9437-9447 - [i24]Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. CoRR abs/1904.09712 (2019) - [i23]Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Jason D. Lee:
Incremental Methods for Weakly Convex Optimization. CoRR abs/1907.11687 (2019) - [i22]Qing Qu, Xiao Li, Zhihui Zhu:
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. CoRR abs/1908.10776 (2019) - [i21]Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare:
Compressed Sensing with Probability-based Prior Information. CoRR abs/1910.12258 (2019) - [i20]Xiao Li, Shixiang Chen, Zengde Deng
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR abs/1911.05047 (2019) - [i19]Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng, Xing Sun:
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification. CoRR abs/1912.01300 (2019) - [i18]Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu:
Analysis of the Optimization Landscapes for Overcomplete Representation Learning. CoRR abs/1912.02427 (2019) - 2018
- [j18]Gang Li
On joint optimization of sensing matrix and sparsifying dictionary for robust compressed sensing systems. Digit. Signal Process. 73: 62-71 (2018) - [j17]Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Zhihui Zhu:
SAR image denoising based on patch ordering in nonsubsample shearlet domain. Turkish J. Electr. Eng. Comput. Sci. 26(4): 1860-1870 (2018) - [j16]Lanlan Wu, Qiaohua Wang, Dengfei Jie, Shucai Wang, Zhihui Zhu, Lirong Xiong:
Detection of crack eggs by image processing and soft-margin support vector machine. J. Comput. Methods Sci. Eng. 18(1): 21-31 (2018) - [j15]Shuaiqi Liu
Speckle Suppression Based on Sparse Representation with Non-Local Priors. Remote. Sens. 10(3): 439 (2018) - [j14]Zhihui Zhu, Gang Li, Jiajun Ding, Qiuwei Li, Xiongxiong He:
On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm. SIAM J. Imaging Sci. 11(2): 1717-1758 (2018) - [j13]Tao Hong, Zhihui Zhu:
An efficient method for robust projection matrix design. Signal Process. 143: 200-210 (2018) - [j12]Tao Hong
Online learning sensing matrix and sparsifying dictionary simultaneously for compressive sensing. Signal Process. 153: 188-196 (2018) - [j11]Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. IEEE Signal Process. Lett. 25(1): 95-99 (2018) - [j10]Zhihui Zhu
Global Optimality in Low-Rank Matrix Optimization. IEEE Trans. Signal Process. 66(13): 3614-3628 (2018) - [j9]Zhihui Zhu
ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. 66(22): 5887-5901 (2018) - [c12]Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris:
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms. NeurIPS 2018: 2175-2185 - [c11]Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li:
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. NeurIPS 2018: 5160-5170 - [i17]Zhihui Zhu, Xiao Li:
Convergence Analysis of Alternating Nonconvex Projections. CoRR abs/1802.03889 (2018) - [i16]Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin:
The Global Optimization Geometry of Shallow Linear Neural Networks. CoRR abs/1805.04938 (2018) - [i15]Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal:
Nonconvex Robust Low-rank Matrix Recovery. CoRR abs/1809.09237 (2018) - [i14]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global Optimality in Distributed Low-rank Matrix Factorization. CoRR abs/1811.03129 (2018) - [i13]Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li:
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. CoRR abs/1811.05642 (2018) - [i12]Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris:
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. CoRR abs/1812.09924 (2018) - 2017
- [j8]Xinming Wu
Methods to enhance seismic faults and construct fault surfaces. Comput. Geosci. 107: 37-48 (2017) - [j7]Shuaiqi Liu
Image fusion based on complex-shearlet domain with guided filtering. Multidimens. Syst. Signal Process. 28(1): 207-224 (2017) - [j6]Shuaiqi Liu
SAR Image Denoising via Sparse Representation in Shearlet Domain Based on Continuous Cycle Spinning. IEEE Trans. Geosci. Remote. Sens. 55(5): 2985-2992 (2017) - [j5]Zhihui Zhu
On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. IEEE Trans. Inf. Theory 63(5): 2975-2992 (2017) - [c10]Zhihui Zhu, Dehui Yang, Michael B. Wakin, Gongguo Tang:
A super-resolution algorithm for multiband signal identification. ACSSC 2017: 323-327 - [c9]Zhihui Zhu, Manuel Lopez-Santillana, Michael B. Wakin:
Super-Resolution of complex exponentials from modulations with known waveforms. CAMSAP 2017: 1-5 - [c8]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global optimality in low-rank matrix optimization. GlobalSIP 2017: 1275-1279 - [c7]Qiuwei Li, Shuang Li, Hassan Mansour, Michael B. Wakin, Dehui Yang, Zhihui Zhu:
Jazz: A companion to music for frequency estimation with missing data. ICASSP 2017: 3236-3240 - [c6]Gang Li, Zhihui Zhu, Huang Bai, Aihua Yu:
A new framework for designing incoherent sparsifying dictionaries. ICASSP 2017: 4416-4420 - [c5]Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg:
Fast orthogonal approximations of sampled sinusoids and bandlimited signals. ICASSP 2017: 4511-4515 - [i11]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global Optimality in Low-rank Matrix Optimization. CoRR abs/1702.07945 (2017) - [i10]Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing. CoRR abs/1703.01256 (2017) - [i9]Qiuwei Li, Zhihui Zhu, Gongguo Tang:
Geometry of Factored Nuclear Norm Regularization. CoRR abs/1704.01265 (2017) - [i8]Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin:
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. CoRR abs/1707.05344 (2017) - [i7]Zhihui Zhu, Gang Li, Jiajun Ding, Qiuwei Li, Xiongxiong He:
On Collaborative Compressive Sensing Systems: The Framework, Design and Algorithm. CoRR abs/1709.06616 (2017) - [i6]Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li:
Optimized Sparse Projections for Compressive Sensing. CoRR abs/1709.06895 (2017) - [i5]Zhihui Zhu, Michael B. Wakin:
Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation. CoRR abs/1711.07956 (2017) - [i4]Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg:
ROAST: Rapid Orthogonal Approximate Slepian Transform. CoRR abs/1712.04613 (2017) - 2016
- [j4]Tao Hong, Huang Bai
An efficient algorithm for designing projection matrix in compressive sensing based on alternating optimization. Signal Process. 125: 9-20 (2016) - [c4]Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport:
Fast computations for approximation and compression in Slepian spaces. GlobalSIP 2016: 1359-1363 - [c3]Zhihui Zhu, Gongguo Tang, Pawan Setlur, Sandeep Gogineni, Michael B. Wakin, Muralidhar Rangaswamy:
Super-resolution in SAR imaging: Analysis with the atomic norm. SAM 2016: 1-5 - [i3]Zhihui Zhu, Michael B. Wakin:
On the Asymptotic Equivalence of Circulant and Toeplitz Matrices. CoRR abs/1608.04820 (2016) - [i2]Tao Hong, Zhihui Zhu:
Robust Projection Matrix Design and Its Application in Compression. CoRR abs/1609.08281 (2016) - 2015
- [i1]Zhihui Zhu, Michael B. Wakin:
Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries. CoRR abs/1507.00029 (2015) - 2014
- [c2]Wenjing Hu, Liji Wu, An Wang, Xinjun Xie, Zhihui Zhu, Shun Luo:
Adaptive Chosen-Plaintext Correlation Power Analysis. CIS 2014: 494-498 - 2013
- [j3]Gang Li, Zhihui Zhu, Dehui Yang, Liping Chang, Huang Bai
On Projection Matrix Optimization for Compressive Sensing Systems. IEEE Trans. Signal Process. 61(11): 2887-2898 (2013) - [c1]Huang Bai, Zhihui Zhu, Gang Li, Sheng Li:
Design of Optimal Measurement Matrix for Compressive Detection. ISWCS 2013: 1-5
2000 – 2009
- 2009
- [j2]Chungou Zhang, Zhihui Zhu:
Preservation properties of the Baskakov-Kantorovich operators. Comput. Math. Appl. 57(9): 1450-1455 (2009) - [j1]Zhongkai Li, Zhihui Zhu:
Characterizations of smoothness of functions in terms of the basis conjugate to Jacobi polynomials. J. Approx. Theory 160(1-2): 113-134 (2009)
Coauthor Index
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