Zhihui Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 140

Top Venues

CoRR

NeurIPS

ICASSP

IEEE Trans. Geosci. Remote. Sens.

Publications

Zhen Qin, Zhihui Zhu
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition. CoRR (2024)
Jiachen Jiang, Jinxin Zhou, Zhihui Zhu
On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier. CoRR (2024)
Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR (2024)
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) (2024)
Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma
A Global Geometric Analysis of Maximal Coding Rate Reduction. CoRR (2024)
Xi Chen, Zhihui Zhu, Andrew Perrault
The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning. CoRR (2024)
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)
Zhen Qin, Xuwei Tan, Zhihui Zhu
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. IEEE Signal Process. Lett. 31 (2024)
Zhen Qin, Michael B. Wakin, Zhihui Zhu
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery. CoRR (2024)
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
On the connection between least squares, regularization, and classical shadows. CoRR (2023)
Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui Zhu
Stable Tomography for Structured Quantum States. CoRR (2023)
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 (2023)
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 (2023)
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) (2023)
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 (2023)
Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
OTOV2: Automatic, Generic, User-Friendly. CoRR (2023)
Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
OTOv2: Automatic, Generic, User-Friendly. ICLR (2023)
Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR (2023)
Zhen Qin, Xuwei Tan, Zhihui Zhu
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. CoRR (2023)
Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. CoRR (2023)
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 (2023)
Chong Wang, Zhiyuan Gu, Zhihui Zhu
Seismic Data Reconstruction and Denoising by Enhanced Hankel Low-Rank Matrix Estimation. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
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 (2023)
Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin Mixon, Chong You, Zhihui Zhu
Generalized Neural Collapse for a Large Number of Classes. CoRR (2023)
Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov
Sparsity-guided Network Design for Frame Interpolation. CoRR (2022)
Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. CoRR (2022)
Sheng Liu, Zhihui Zhu, Qing Qu, Chong You
Robust Training under Label Noise by Over-parameterization. CoRR (2022)
Jeremias Sulam, Chong You, Zhihui Zhu
Recovery and Generalization in Over-Realized Dictionary Learning. J. Mach. Learn. Res. 23 (2022)
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 (2022)
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)
Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
Are All Losses Created Equal: A Neural Collapse Perspective. CoRR (2022)
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)
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)
Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu
A Validation Approach to Over-parameterized Matrix and Image Recovery. CoRR (2022)
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 (2022)
Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
Error Analysis of Tensor-Train Cross Approximation. NeurIPS (2022)
Haiyan Yu, Zhen Qin, Zhihui Zhu
Learning Approach For Fast Approximate Matrix Factorizations. ICASSP (2022)
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 (2022)
Sheng Liu, Zhihui Zhu, Qing Qu, Chong You
Robust Training under Label Noise by Over-parameterization. ICML (2022)
Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu
Error Analysis of Tensor-Train Cross Approximation. CoRR (2022)
Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. NeurIPS (2022)
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)
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 (2021)
Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang
Factor-Bounded Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR (2021)
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 (2021)
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)
Zhihui Zhu, Qiuwei Li, Gongguo Tang, Michael B. Wakin
The Global Optimization Geometry of Low-Rank Matrix Optimization. IEEE Trans. Inf. Theory 67 (2) (2021)
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) (2021)
Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. NeurIPS (2021)
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)
Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
CDFI: Compression-Driven Network Design for Frame Interpolation. CoRR (2021)
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)
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) (2021)
Yansheng Li, Yongjun Zhang, Zhihui Zhu
Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification. IEEE Trans. Cybern. 51 (4) (2021)
Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
CDFI: Compression-Driven Network Design for Frame Interpolation. CVPR (2021)
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)
Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR (2021)
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 (2020)
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) (2020)
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)
Chong You, Zhihui Zhu, Qing Qu, Yi Ma
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR (2020)
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) (2020)
Chong You, Zhihui Zhu, Qing Qu, Yi Ma
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS (2020)
Xiao Li, Zhihui Zhu, Anthony Man-Cho So, René Vidal
Nonconvex Robust Low-Rank Matrix Recovery. SIAM J. Optim. 30 (1) (2020)
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 (2020)
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu
-Regularized Optimization. CoRR (2020)
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 (2020)
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) (2020)
Jeremias Sulam, Chong You, Zhihui Zhu
Recovery and Generalization in Over-Realized Dictionary Learning. CoRR (2020)
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) (2020)
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. ICLR (2020)
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu
-Regularized Optimization. ECML/PKDD (3) (2020)
Qing Qu, Xiao Li, Zhihui Zhu
Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent. SIAM J. Imaging Sci. 13 (3) (2020)
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)
Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
The Geometry of Equality-constrained Global Consensus Problems. ICASSP (2019)
Qianru Jiang, Sheng Li, Zhihui Zhu, Huang Bai, Xiongxiong He, Rodrigo C. de Lamare
Compressed Sensing with Probability-based Prior Information. CoRR (2019)
Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR (2019)
Qing Qu, Xiao Li, Zhihui Zhu
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. CoRR (2019)
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) (2019)
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 (2019)
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 (2019)
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) (2019)
Qing Qu, Xiao Li, Zhihui Zhu
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. NeurIPS (2019)
Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
Noisy Dual Principal Component Pursuit. ICML (2019)
Tao Hong, Xiao Li, Zhihui Zhu, Qiuwei Li
Optimized structured sparse sensing matrices for compressive sensing. Signal Process. 159 (2019)
Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B. Wakin
Distributed Low-rank Matrix Factorization With Exact Consensus. NeurIPS (2019)
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)
Qing Qu, Xiao Li, Zhihui Zhu
Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach. ACSSC (2019)
Yansheng Li, Yongjun Zhang, Zhihui Zhu
Learning Deep Networks under Noisy Labels for Remote Sensing Image Scene Classification. IGARSS (2019)
Qiuwei Li, Xinshuo Yang, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems. CAMSAP (2019)
Qiuwei Li, Zhihui Zhu, Gongguo Tang
Alternating Minimizations Converge to Second-Order Optimal Solutions. ICML (2019)
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) (2019)
Xiao Li, Zhihui Zhu, Anthony Man-Cho So, Jason D. Lee
Incremental Methods for Weakly Convex Optimization. CoRR (2019)
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
Analysis of the Optimization Landscapes for Overcomplete Representation Learning. CoRR (2019)
Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. CoRR (2019)
Qiuwei Li, Zhihui Zhu, Michael B. Wakin, Gongguo Tang
The Local Geometry of Orthogonal Dictionary Learning using L1 Minimization. ACSSC (2019)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. 66 (22) (2018)
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 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhihui Zhu