| MUSIC for single-snapshot spectral estimation: Stability and super-resolution W Liao, A Fannjiang Applied and Computational Harmonic Analysis 40 (1), 33-67, 2016 | 244 | 2016 |
| Coherence pattern–guided compressive sensing with unresolved grids A Fannjiang, W Liao SIAM Journal on Imaging Sciences 5 (1), 179-202, 2012 | 209 | 2012 |
| Efficient approximation of deep relu networks for functions on low dimensional manifolds M Chen, H Jiang, W Liao, T Zhao Advances in neural information processing systems 32, 2019 | 116 | 2019 |
| Super-resolution limit of the ESPRIT algorithm W Li, W Liao, A Fannjiang IEEE transactions on information theory 66 (7), 4593-4608, 2020 | 108 | 2020 |
| Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery M Chen, H Jiang, W Liao, T Zhao Information and Inference: A Journal of the IMA 11 (4), 1203-1253, 2022 | 99 | 2022 |
| Stable super-resolution limit and smallest singular value of restricted Fourier matrices W Li, W Liao Applied and Computational Harmonic Analysis 51, 118-156, 2021 | 69 | 2021 |
| Phase retrieval with random phase illumination A Fannjiang, W Liao JOSA A 29 (9), 1847-1859, 2012 | 67 | 2012 |
| MUSIC for multidimensional spectral estimation: Stability and super-resolution W Liao IEEE transactions on signal processing 63 (23), 6395-6406, 2015 | 61 | 2015 |
| Ident: Identifying differential equations with numerical time evolution SH Kang, W Liao, Y Liu Journal of Scientific Computing 87, 1-27, 2021 | 50 | 2021 |
| Statistical guarantees of generative adversarial networks for distribution estimation M Chen, W Liao, H Zha, T Zhao arXiv preprint arXiv:2002.03938 9, 2020 | 38 | 2020 |
| Besov function approximation and binary classification on low-dimensional manifolds using convolutional residual networks H Liu, M Chen, T Zhao, W Liao International Conference on Machine Learning, 6770-6780, 2021 | 35 | 2021 |
| Super-resolution by compressive sensing algorithms A Fannjiang, W Liao 2012 conference record of the forty sixth asilomar conference on signals …, 2012 | 30 | 2012 |
| Stability and super-resolution of MUSIC and ESPRIT for multi-snapshot spectral estimation W Li, Z Zhu, W Gao, W Liao IEEE Transactions on Signal Processing 70, 4555-4570, 2022 | 23 | 2022 |
| Fourier phasing with phase-uncertain mask A Fannjiang, W Liao Inverse Problems 29 (12), 125001, 2013 | 23 | 2013 |
| Sensor calibration for off-the-grid spectral estimation YC Eldar, W Liao, S Tang Applied and Computational Harmonic Analysis 48 (2), 570-598, 2020 | 22 | 2020 |
| Deep nonparametric estimation of operators between infinite dimensional spaces H Liu, H Yang, M Chen, T Zhao, W Liao arXiv preprint arXiv:2201.00217, 2022 | 21 | 2022 |
| An automatic denoising method for NMR spectroscopy based on low-rank Hankel model T Qiu, W Liao, Y Huang, J Wu, D Guo, D Liu, X Wang, JF Cai, B Hu, X Qu IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 20 | 2021 |
| Mismatch and resolution in compressive imaging A Fannjiang, W Liao Wavelets and Sparsity XIV 8138, 239-247, 2011 | 20 | 2011 |
| Benefits of overparameterized convolutional residual networks: Function approximation under smoothness constraint H Liu, M Chen, S Er, W Liao, T Zhang, T Zhao International Conference on Machine Learning, 13669-13703, 2022 | 16 | 2022 |
| Distribution approximation and statistical estimation guarantees of generative adversarial networks M Chen, W Liao, H Zha, T Zhao arXiv preprint arXiv:2002.03938, 2020 | 14 | 2020 |
Tuo ZhaoAssociate Professor, Georgia Tech在 gatech.edu 的电子邮件经过验证
