| 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 | 192 | 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 | 150 | 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 | 128* | 2019 |
| 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 | 103 | 2020 |
| 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 | 99 | 2021 |
| 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 | 96 | 2017 |
| 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 | 84 | 2020 |
| The global optimization geometry of low-rank matrix optimization Z Zhu, Q Li, G Tang, MB Wakin IEEE Transactions on Information Theory, 2021 | 67* | 2021 |
| 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 | 66 | 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 | 63 | 2018 |
| 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 | 60* | 2021 |
| Methods to enhance seismic faults and construct fault surfaces X Wu, Z Zhu Computers & Geosciences 107, 37-48, 2017 | 60 | 2017 |
| 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 | 58 | 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 | 58 | 2021 |
| 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 | 55 | 2022 |
| 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 | 55 | 2017 |
| Alternating minimizations converge to second-order optimal solutions Q Li, Z Zhu, G Tang International Conference on Machine Learning, 3935-3943, 2019 | 52 | 2019 |
| Approximating sampled sinusoids and multiband signals using multiband modulated DPSS dictionaries Z Zhu, MB Wakin Journal of Fourier Analysis and Applications 23, 1263-1310, 2017 | 52 | 2017 |
| 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 | 51 | 2022 |
| Speckle suppression based on weighted nuclear norm minimization and grey theory S Liu, Q Hu, P Li, J Zhao, M Liu, Z Zhu IEEE Transactions on Geoscience and Remote Sensing 57 (5), 2700-2708, 2018 | 50 | 2018 |
Michael B. WakinProfessor, Electrical Engineering, Colorado School of Mines在 mines.edu 的电子邮件经过验证
