Zhihui Zhu

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Michael B. WakinProfessor, Electrical Engineering, Colorado School of MinesDirección de correo verificada de mines.edu
Qing QuAssistant Professor, Dept. of EECS, University of MichiganDirección de correo verificada de umich.edu
Qiuwei LiDAMO Academy, Alibaba Group USDirección de correo verificada de math.ucla.edu
Tianyu Ding, Ph.D.Principal Researcher, Microsoft | Johns Hopkins UniversityDirección de correo verificada de microsoft.com
Gongguo TangAssociate Professor, University of Colorado BoulderDirección de correo verificada de Colorado.edu
Xiao LiThe Chinese University of Hong Kong, ShenzhenDirección de correo verificada de cuhk.edu.cn
Chong YouGoogleDirección de correo verificada de google.com
Jinxin ZhouOhio State UniversityDirección de correo verificada de osu.edu
Rene VidalRachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCEDirección de correo verificada de seas.upenn.edu
Tianyi ChenSenior Research Lead, Microsoft, Johns Hopkins UniversityDirección de correo verificada de microsoft.com
Shuaiqi Liu (刘帅奇)Hebei UniversityDirección de correo verificada de hbu.edu.cn
Luming Liang (梁鹿鸣)Applied Sciences Group, Microsoft, Past: Uber, Mines, CSUDirección de correo verificada de microsoft.com
Xiao Li (李虓)Ph.D. candidate at University of MichiganDirección de correo verificada de umich.edu
Zhen QinOhio State UniversityDirección de correo verificada de osu.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityDirección de correo verificada de lehigh.edu
PENG WANGPostdoc Fellow, Department of Electrical Engineering and Computer Science, University of MichiganDirección de correo verificada de umich.edu
Dehui YangColorado School of Mines, Root Inc, Uber Technologies Inc, XJTLUDirección de correo verificada de mines.edu
Anthony Man-Cho SoDepartment of Systems Engineering and Engineering Management, The Chinese University of Hong KongDirección de correo verificada de se.cuhk.edu.hk
Sheng LiuStanford UniversityDirección de correo verificada de stanford.edu
Yansheng LiProfessor, Wuhan UniversityDirección de correo verificada de whu.edu.cn

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Zhihui Zhu

Assistant Professor, Ohio State University

Dirección de correo verificada de osu.edu - Página principal

Machine Learning Data Science Signal Processing Optimization


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A Geometric Analysis of Neural Collapse with Unconstrained Features Z Zhu, T Ding, J Zhou, X Li, C You, J Sulam, Q Qu Advances in Neural Information Processing Systems, 2021	203	2021
On projection matrix optimization for compressive sensing systems G Li, Z Zhu, D Yang, L Chang, H Bai IEEE Transactions on Signal Processing 61 (11), 2887-2898, 2013	203	2013
Global optimality in low-rank matrix optimization Z Zhu, Q Li, G Tang, MB Wakin IEEE Transactions on Signal Processing 66 (13), 3614-3628, 2018	176	2018
The non-convex geometry of low-rank matrix optimization Q Li, Z Zhu, G Tang Information and Inference: A Journal of the IMA 8 (1), 51-96, 2019	145*	2019
Robust Training under Label Noise by Over-parameterization S Liu, Z Zhu, Q Qu, C You Proceedings of the 39th International Conference on Machine Learning, 2022	132	2022
Only train once: A one-shot neural network training and pruning framework T Chen, B Ji, T Ding, B Fang, G Wang, Z Zhu, L Liang, Y Shi, S Yi, X Tu Advances in Neural Information Processing Systems 34, 19637-19651, 2021	130	2021
Error-tolerant deep learning for remote sensing image scene classification Y Li, Y Zhang, Z Zhu IEEE transactions on cybernetics 51 (4), 1756-1768, 2020	130	2020
Nonconvex robust low-rank matrix recovery X Li, Z Zhu, A Man-Cho So, R Vidal SIAM Journal on Optimization 30 (1), 660-686, 2020	120	2020
Cdfi: Compression-driven network design for frame interpolation T Ding, L Liang, Z Zhu, I Zharkov Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	113	2021
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features J Zhou, X Li, T Ding, C You, Q Qu, Z Zhu Proceedings of the 39th International Conference on Machine Learning 162 …, 2022	106	2022
SAR image denoising via sparse representation in shearlet domain based on continuous cycle spinning S Liu, M Liu, P Li, J Zhao, Z Zhu, X Wang IEEE transactions on geoscience and remote sensing 55 (5), 2985-2992, 2017	105	2017
Weakly convex optimization over Stiefel manifold using Riemannian subgradient-type methods X Li, S Chen, Z Deng, Q Qu, Z Zhu, A Man-Cho So SIAM Journal on Optimization 31 (3), 1605-1634, 2021	95*	2021
Learning deep cross-modal embedding networks for zero-shot remote sensing image scene classification Y Li, Z Zhu, JG Yu, Y Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10590-10603, 2021	92	2021
The global optimization geometry of low-rank matrix optimization Z Zhu, Q Li, G Tang, MB Wakin IEEE Transactions on Information Theory, 2021	92*	2021
Hankel low-rank approximation for seismic noise attenuation C Wang, Z Zhu, H Gu, X Wu, S Liu IEEE Transactions on Geoscience and Remote Sensing 57 (1), 561-573, 2018	81	2018
Methods to enhance seismic faults and construct fault surfaces X Wu, Z Zhu Computers & Geosciences 107, 37-48, 2017	73	2017
Alternating minimizations converge to second-order optimal solutions Q Li, Z Zhu, G Tang International Conference on Machine Learning, 3935-3943, 2019	65	2019
Image fusion based on complex-shearlet domain with guided filtering S Liu, M Shi, Z Zhu, J Zhao Multidimensional Systems and Signal Processing 28 (1), 207-224, 2017	65	2017
Are all losses created equal: A neural collapse perspective J Zhou, C You, X Li, K Liu, S Liu, Q Qu, Z Zhu Advances in Neural Information Processing Systems, 2022	58	2022
Dual principal component pursuit: Improved analysis and efficient algorithms Z Zhu, Y Wang, D Robinson, D Naiman, R Vidal, M Tsakiris Advances in Neural Information Processing Systems 31, 2018	58	2018

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