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ORCIDZhihui Zhu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j44]Zhen Qin
, Xuwei Tan, Zhihui Zhu:
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. IEEE Signal Process. Lett. 31: 795-799 (2024)- [j43]Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu:
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, Yi Ma:
A Global Geometric Analysis of Maximal Coding Rate Reduction. ICML 2024 - [c44]Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu:
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, Zhiyuan Gu, Zhihui Zhu:
Seismic Data Reconstruction and Denoising by Enhanced Hankel Low-Rank Matrix Estimation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j38]Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu:
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, Zhihui Zhu:
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, Zhihui Zhu:
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. CoRR abs/2203.01238 (2022) - [i40]Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu:
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, Liwei Jiang, Jinxin Zhou, Zhihui Zhu:
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, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So:
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM J. Optim. 31(3): 1605-1634 (2021) - [j35]Yansheng Li, Yongjun Zhang, Zhihui Zhu:
Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification. IEEE Trans. Cybern. 51(4): 1756-1768 (2021) - [j34]Yansheng Li, Zhihui Zhu, Jin-Gang Yu, Yongjun Zhang:
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, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
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, Mingxin Yu, Jiabin Xia, Lianqing Zhu, Tao Zhang, Zhihui Zhu, Guangkai Sun:
Diverse Region-Based CNN for Tongue Squamous Cell Carcinoma Classification With Raman Spectroscopy. IEEE Access 8: 127313-127328 (2020) - [j30]Zhihui Zhu, Daniel Soudry, Yonina C. Eldar, Michael B. Wakin:
The Global Optimization Geometry of Shallow Linear Neural Networks. J. Math. Imaging Vis. 62(3): 279-292 (2020) - [j29]Shuaiqi Liu, Yucong Lu, Jie Wang, Shaohai Hu, Jie Zhao, Zhihui Zhu:
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, Xingwang Sheng, Zhihui Zhu, Tianjing Luo, Zecheng Liu:
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, Xiao Li, Zhihui Zhu:
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, René Vidal:
Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. 30(1): 660-686 (2020) - [j25]Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization. IEEE Signal Process. Lett. 27: 1400-1404 (2020) - [j24]Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare:
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, Zhihui Zhu:
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, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu:
Orthant Based Proximal Stochastic Gradient Method for ℓ 1-Regularized Optimization. ECML/PKDD (3) 2020: 57-73 - [i28]Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal:
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, Jie Wang, Yucong Lu, Hailiang Li, Jie Zhao, Zhihui Zhu:
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, Zhihui Zhu:
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, Qiuwei Li:
Optimized structured sparse sensing matrices for compressive sensing. Signal Process. 159: 119-129 (2019) - [j20]Chong Wang, Zhihui Zhu, Hanming Gu, Xinming Wu, Shuaiqi Liu:
Hankel Low-Rank Approximation for Seismic Noise Attenuation. IEEE Trans. Geosci. Remote. Sens. 57(1): 561-573 (2019) - [j19]Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Ming Liu, Zhihui Zhu:
Speckle Suppression Based on Weighted Nuclear Norm Minimization and Grey Theory. IEEE Trans. Geosci. Remote. Sens. 57(5): 2700-2708 (2019) - [c22]Qing Qu, Xiao Li, Zhihui Zhu:
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, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
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, Yongjun Zhang, Zhihui Zhu:
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, Qing Qu, Zhihui Zhu, Anthony Man-Cho So:
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, Zhihui Zhu, Xinming Wu, Beiping Hou:
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, Qi Hu, Pengfei Li, Jie Zhao, Chong Wang, Zhihui Zhu:
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, Zhihui Zhu:
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, Qiuwei Li, Gongguo Tang, Michael B. Wakin:
Global Optimality in Low-Rank Matrix Optimization. IEEE Trans. Signal Process. 66(13): 3614-3628 (2018) - [j9]Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg:
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, Zhihui Zhu:
Methods to enhance seismic faults and construct fault surfaces. Comput. Geosci. 107: 37-48 (2017) - [j7]Shuaiqi Liu, Mingzhu Shi, Zhihui Zhu, Jie Zhao:
Image fusion based on complex-shearlet domain with guided filtering. Multidimens. Syst. Signal Process. 28(1): 207-224 (2017) - [j6]Shuaiqi Liu, Ming Liu, Peifei Li, Jie Zhao, Zhihui Zhu, Xuehu Wang:
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, Michael B. Wakin:
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, Sheng Li, Zhihui Zhu:
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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