Zhihui Zhu

According to our database, Zhihui Zhu authored at least 122 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Quantum State Tomography for Matrix Product Density Operators.

Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu

IEEE Trans. Inf. Theory, July, 2024

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse.

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

Trans. Mach. Learn. Res., 2024

Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks.

Zhen Qin, Xuwei Tan, Zhihui Zhu

IEEE Signal Process. Lett., 2024

Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data.

Xinyi Ling, Bo Peng, Hanwen Du, Zhihui Zhu, Xia Ning

CoRR, 2024

Robust Low-rank Tensor Train Recovery.

Zhen Qin, Zhihui Zhu

CoRR, 2024

Sample-Optimal Quantum State Tomography for Structured Quantum States in One Dimension.

Zhen Qin, Casey Jameson, Alireza Goldar, Michael B. Wakin, Zhexuan Gong, Zhihui Zhu

CoRR, 2024

On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier.

Jiachen Jiang, Jinxin Zhou, Zhihui Zhu

CoRR, 2024

Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition.

Zhen Qin, Zhihui Zhu

CoRR, 2024

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation.

Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2024

The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning.

Xi Chen, Zhihui Zhu, Andrew Perrault

CoRR, 2024

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery.

Zhen Qin, Michael B. Wakin, Zhihui Zhu

CoRR, 2024

Quantum Exploration-based Reinforcement Learning for Efficient Robot Path Planning in Sparse-Reward Environment.

Chao Huang, Yibei Guo, Zhihui Zhu, Mei Si, Daniel Blankenberg, Rui Liu

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Generalized Neural Collapse for a Large Number of Classes.

Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Global Geometric Analysis of Maximal Coding Rate Reduction.

Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DREAM: Diffusion Rectification and Estimation-Adaptive Models.

Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Effectiveness of information and communication technology(ICT) for addictive behaviors: An umbrella review of systematic reviews and meta-analysis of randomized controlled trials.

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

Comput. Hum. Behav., October, 2023

A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization.

Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu

IEEE Trans. Knowl. Data Eng., March, 2023

Seismic Data Reconstruction and Denoising by Enhanced Hankel Low-Rank Matrix Estimation.

Chong Wang, Zhiyuan Gu, Zhihui Zhu

IEEE Trans. Geosci. Remote. Sens., 2023

The usage of internet of things in healthcare: A review of mechanisms, platforms, and opportunities from a new perspective.

Zhihui Zhu, Meifang Zhu

J. Intell. Fuzzy Syst., 2023

OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators.

Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang

CoRR, 2023

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey.

Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2023

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination.

Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu

CoRR, 2023

On the connection between least squares, regularization, and classical shadows.

Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby

CoRR, 2023

Stable Tomography for Structured Quantum States.

Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu

CoRR, 2023

The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks.

Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu

CoRR, 2023

OTOv2: Automatic, Generic, User-Friendly.

Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Recovery and Generalization in Over-Realized Dictionary Learning.

Jeremias Sulam, Chong You, Zhihui Zhu

J. Mach. Learn. Res., 2022

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse.

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

CoRR, 2022

A Validation Approach to Over-parameterized Matrix and Image Recovery.

Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu

CoRR, 2022

Sparsity-guided Network Design for Frame Interpolation.

Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov

CoRR, 2022

Are All Losses Created Equal: A Neural Collapse Perspective.

Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold.

Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Error Analysis of Tensor-Train Cross Approximation.

Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revisiting Sparse Convolutional Model for Visual Recognition.

Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features.

Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu

Proceedings of the International Conference on Machine Learning, 2022

Robust Training under Label Noise by Over-parameterization.

Sheng Liu, Zhihui Zhu, Qing Qu, Chong You

Proceedings of the International Conference on Machine Learning, 2022

Learning Approach For Fast Approximate Matrix Factorizations.

Haiyan Yu, Zhen Qin, Zhihui Zhu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Factor-Bounded Nonnegative Matrix Factorization.

Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang

ACM Trans. Knowl. Discov. Data, 2021

The Global Optimization Geometry of Low-Rank Matrix Optimization.

Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin

IEEE Trans. Inf. Theory, 2021

Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification.

Yansheng Li, Zhihui Zhu, Jin-Gang Yu, Yongjun Zhang

IEEE Trans. Geosci. Remote. Sens., 2021

Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification.

Yansheng Li, Yongjun Zhang, Zhihui Zhu

IEEE Trans. Cybern., 2021

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods.

Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So

SIAM J. Optim., 2021

A Geometric Analysis of Neural Collapse with Unconstrained Features.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery.

Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach.

Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson

Proceedings of the 38th International Conference on Machine Learning, 2021

CDFI: Compression-Driven Network Design for Frame Interpolation.

Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms.

Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Design of Compressed Sensing System With Probability-Based Prior Information.

Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare

IEEE Trans. Multim., 2020

The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization.

Shuang Li, Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin

IEEE Signal Process. Lett., 2020

Nonconvex Robust Low-Rank Matrix Recovery.

Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal

SIAM J. Optim., 2020

Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent.

Qing Qu, Xiao Li, Zhihui Zhu

SIAM J. Imaging Sci., 2020

Experimental Study on Vibration Characteristics of Unit-Plate Ballastless Track Systems Laid on Long-Span Bridges Using Full-Scale Test Rigs.

Weiqi Zheng, Xingwang Sheng, Zhihui Zhu, Tianjing Luo, Zecheng Liu

Sensors, 2020

A new focus evaluation operator based on max-min filter and its application in high quality multi-focus image fusion.

Shuaiqi Liu, Yucong Lu, Jie Wang, Shaohai Hu, Jie Zhao, Zhihui Zhu

Multidimens. Syst. Signal Process., 2020

The Global Optimization Geometry of Shallow Linear Neural Networks.

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

J. Math. Imaging Vis., 2020

Orthant Based Proximal Stochastic Gradient Method for 𝓁₁-Regularized Optimization.

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

CoRR, 2020

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

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

CoRR, 2020

Diverse Region-Based CNN for Tongue Squamous Cell Carcinoma Classification With Raman Spectroscopy.

Hao Yan, Mingxin Yu, Jiabin Xia, Lianqing Zhu, Tao Zhang, Zhihui Zhu, Guangkai Sun

IEEE Access, 2020

Orthant Based Proximal Stochastic Gradient Method for ℓ ₁-Regularized Optimization.

Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

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

Chong You, Zhihui Zhu, Qing Qu, Yi Ma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning.

Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Homography Estimation via Dual Principal Component Pursuit.

Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun, Wei-Shi Zheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hankel Low-Rank Approximation for Seismic Noise Attenuation.

Chong Wang, Zhihui Zhu, Hanming Gu, Xinming Wu, Shuaiqi Liu

IEEE Trans. Geosci. Remote. Sens., 2019

Speckle Suppression Based on Weighted Nuclear Norm Minimization and Grey Theory.

Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Ming Liu, Zhihui Zhu

IEEE Trans. Geosci. Remote. Sens., 2019

Optimized structured sparse sensing matrices for compressive sensing.

Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li

Signal Process., 2019

Mechanical Behaviors and Fatigue Performances of Ballastless Tracks Laid on Long-Span Cable-Stayed Bridges with Different Arrangements.

Xingwang Sheng, Weiqi Zheng, Zhihui Zhu

Sensors, 2019

Analysis of the Optimization Landscapes for Overcomplete Representation Learning.

Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu

CoRR, 2019

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods.

Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So

CoRR, 2019

Compressed Sensing with Probability-based Prior Information.

Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare

CoRR, 2019

Incremental Methods for Weakly Convex Optimization.

Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Jason D. Lee

CoRR, 2019

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

Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin

CoRR, 2019

Multi-Focus Image Fusion Based on Adaptive Dual-Channel Spiking Cortical Model in Non-Subsampled Shearlet Domain.

Shuaiqi Liu, Jie Wang, Yucong Lu, Hailiang Li, Jie Zhao, Zhihui Zhu

IEEE Access, 2019

Distributed Low-rank Matrix Factorization With Exact Consensus.

Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning.

Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution.

Qing Qu, Xiao Li, Zhihui Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Deep Networks under Noisy Labels for Remote Sensing Image Scene Classification.

Yansheng Li, Yongjun Zhang, Zhihui Zhu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Alternating Minimizations Converge to Second-Order Optimal Solutions.

Qiuwei Li, Zhihui Zhu, Gongguo Tang

Proceedings of the 36th International Conference on Machine Learning, 2019

Noisy Dual Principal Component Pursuit.

Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal

Proceedings of the 36th International Conference on Machine Learning, 2019

The Geometry of Equality-constrained Global Consensus Problems.

Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin

Proceedings of the IEEE International Conference on Acoustics, 2019

The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems.

Qiuwei Li, Xinshuo Yang, Zhihui Zhu, Gongguo Tang, Michael B. Wakin

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach.

Qing Qu, Xiao Li, Zhihui Zhu

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization.

Qiuwei Li, Zhihui Zhu, Michael B. Wakin, Gongguo Tang

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Global Optimality in Low-Rank Matrix Optimization.

Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin

IEEE Trans. Signal Process., 2018

ROAST: Rapid Orthogonal Approximate Slepian Transform.

Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg

IEEE Trans. Signal Process., 2018

The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators.

Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin

IEEE Signal Process. Lett., 2018

Online learning sensing matrix and sparsifying dictionary simultaneously for compressive sensing.

Tao Hong, Zhihui Zhu

Signal Process., 2018

An efficient method for robust projection matrix design.

Tao Hong, Zhihui Zhu

Signal Process., 2018

On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm.

Zhihui Zhu, Gang Li, Jiajun Ding, Qiuwei Li, Xiongxiong He

SIAM J. Imaging Sci., 2018

Speckle Suppression Based on Sparse Representation with Non-Local Priors.

Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Chong Wang, Zhihui Zhu

Remote. Sens., 2018

Detection of crack eggs by image processing and soft-margin support vector machine.

Lanlan Wu, Qiaohua Wang, Dengfei Jie, Shucai Wang, Zhihui Zhu, Lirong Xiong

J. Comput. Methods Sci. Eng., 2018

SAR image denoising based on patch ordering in nonsubsample shearlet domain.

Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Zhihui Zhu

Turkish J. Electr. Eng. Comput. Sci., 2018

On joint optimization of sensing matrix and sparsifying dictionary for robust compressed sensing systems.

Gang Li, Zhihui Zhu, Xinming Wu, Beiping Hou

Digit. Signal Process., 2018

Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms.

Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris

CoRR, 2018

Global Optimality in Distributed Low-rank Matrix Factorization.

Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin

CoRR, 2018

Convergence Analysis of Alternating Nonconvex Projections.

Zhihui Zhu, Xiao Li

CoRR, 2018

Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms.

Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization.

Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

On the Asymptotic Equivalence of Circulant and Toeplitz Matrices.

Zhihui Zhu, Michael B. Wakin

IEEE Trans. Inf. Theory, 2017

SAR Image Denoising via Sparse Representation in Shearlet Domain Based on Continuous Cycle Spinning.

Shuaiqi Liu, Ming Liu, Peifei Li, Jie Zhao, Zhihui Zhu, Xuehu Wang

IEEE Trans. Geosci. Remote. Sens., 2017

Image fusion based on complex-shearlet domain with guided filtering.

Shuaiqi Liu, Mingzhu Shi, Zhihui Zhu, Jie Zhao

Multidimens. Syst. Signal Process., 2017

Methods to enhance seismic faults and construct fault surfaces.

Xinming Wu, Zhihui Zhu

Comput. Geosci., 2017

Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation.

Zhihui Zhu, Michael B. Wakin

CoRR, 2017

Optimized Sparse Projections for Compressive Sensing.

Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li

CoRR, 2017

The Global Optimization Geometry of Nonsymmetric Matrix Factorization and Sensing.

Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin

CoRR, 2017

Geometry of Factored Nuclear Norm Regularization.

Qiuwei Li, Zhihui Zhu, Gongguo Tang

CoRR, 2017

Fast orthogonal approximations of sampled sinusoids and bandlimited signals.

Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A new framework for designing incoherent sparsifying dictionaries.

Gang Li, Zhihui Zhu, Huang Bai, Aihua Yu

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Jazz: A companion to music for frequency estimation with missing data.

Qiuwei Li, Shuang Li, Hassan Mansour, Michael B. Wakin, Dehui Yang, Zhihui Zhu

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Super-Resolution of complex exponentials from modulations with known waveforms.

Zhihui Zhu, Manuel Lopez-Santillana, Michael B. Wakin

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A super-resolution algorithm for multiband signal identification.

Zhihui Zhu, Dehui Yang, Michael B. Wakin, Gongguo Tang

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

An efficient algorithm for designing projection matrix in compressive sensing based on alternating optimization.

Tao Hong, Huang Bai, Sheng Li, Zhihui Zhu

Signal Process., 2016

Robust Projection Matrix Design and Its Application in Compression.

Tao Hong, Zhihui Zhu

CoRR, 2016

Super-resolution in SAR imaging: Analysis with the atomic norm.

Zhihui Zhu, Gongguo Tang, Pawan Setlur, Sandeep Gogineni, Michael B. Wakin, Muralidhar Rangaswamy

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Fast computations for approximation and compression in Slepian spaces.

Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Approximating Sampled Sinusoids and Multiband Signals Using Multiband Modulated DPSS Dictionaries.

Zhihui Zhu, Michael B. Wakin

CoRR, 2015

2014

Adaptive Chosen-Plaintext Correlation Power Analysis.

Wenjing Hu, Liji Wu, An Wang, Xinjun Xie, Zhihui Zhu, Shun Luo

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

2013

On Projection Matrix Optimization for Compressive Sensing Systems.

Gang Li, Zhihui Zhu, Dehui Yang, Liping Chang, Huang Bai

IEEE Trans. Signal Process., 2013

Design of Optimal Measurement Matrix for Compressive Detection.

Huang Bai, Zhihui Zhu, Gang Li, Sheng Li

Proceedings of the ISWCS 2013, 2013

2009

Characterizations of smoothness of functions in terms of the basis conjugate to Jacobi polynomials.

Zhongkai Li, Zhihui Zhu

J. Approx. Theory, 2009

Preservation properties of the Baskakov-Kantorovich operators.

Chungou Zhang, Zhihui Zhu

Comput. Math. Appl., 2009