| Lanczosnet: Multi-scale deep graph convolutional networks R Liao, Z Zhao, R Urtasun, RS Zemel arXiv preprint arXiv:1901.01484, 2019 | 216 | 2019 |
| Max-sliced wasserstein distance and its use for gans I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 130 | 2019 |
| Rotationally invariant image representation for viewing direction classification in cryo-EM Z Zhao, A Singer Journal of structural biology 186 (1), 153-166, 2014 | 108 | 2014 |
| Viewing angle classification of cryo-electron microscopy images using eigenvectors A Singer, Z Zhao, Y Shkolnisky, R Hadani SIAM Journal on Imaging Sciences 4 (2), 723-759, 2011 | 106 | 2011 |
| Bispectrum inversion with application to multireference alignment T Bendory, N Boumal, C Ma, Z Zhao, A Singer IEEE Transactions on signal processing 66 (4), 1037-1050, 2017 | 83 | 2017 |
| Analog forecasting with dynamics-adapted kernels Z Zhao, D Giannakis Nonlinearity 29 (9), 2888, 2016 | 82 | 2016 |
| Denoising gravitational waves with enhanced deep recurrent denoising auto-encoders H Shen, D George, EA Huerta, Z Zhao ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 74 | 2019 |
| Denoising gravitational waves with enhanced deep recurrent denoising auto-encoders H Shen, D George, EA Huerta, Z Zhao ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 74 | 2019 |
| Spatiotemporal feature extraction with data-driven Koopman operators D Giannakis, J Slawinska, Z Zhao Feature Extraction: Modern Questions and Challenges, 103-115, 2015 | 68 | 2015 |
| Fast steerable principal component analysis Z Zhao, Y Shkolnisky, A Singer IEEE transactions on computational imaging 2 (1), 1-12, 2016 | 65 | 2016 |
| Fast steerable principal component analysis Z Zhao, Y Shkolnisky, A Singer IEEE transactions on computational imaging 2 (1), 1-12, 2016 | 65 | 2016 |
| Fourier–Bessel rotational invariant eigenimages Z Zhao, A Singer JOSA A 30 (5), 871-877, 2013 | 64 | 2013 |
| Enabling real-time multi-messenger astrophysics discoveries with deep learning EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ... Nature Reviews Physics 1 (10), 600-608, 2019 | 57 | 2019 |
| Data-driven prediction strategies for low-frequency patterns of North Pacific climate variability D Comeau, Z Zhao, D Giannakis, AJ Majda Climate Dynamics 48, 1855-1872, 2017 | 27 | 2017 |
| Kernel analog forecasting of tropical intraseasonal oscillations R Alexander, Z Zhao, E Székely, D Giannakis Journal of the Atmospheric Sciences 74 (4), 1321-1342, 2017 | 26 | 2017 |
| Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models D Luo, Z Chen, K Hu, Z Zhao, VM Hur, BK Clark arXiv preprint arXiv:2101.07243, 2021 | 24 | 2021 |
| Deterministic and Bayesian neural networks for low-latency gravitational wave parameter estimation of binary black hole mergers H Shen, EA Huerta, Z Zhao, E Jennings, H Sharma arXiv preprint arXiv:1903.01998 7, 2019 | 23* | 2019 |
| Spatiotemporal pattern extraction by spectral analysis of vector-valued observables D Giannakis, A Ourmazd, J Slawinska, Z Zhao Journal of Nonlinear Science 29, 2385-2445, 2019 | 21 | 2019 |
| Predicting regional and pan-Arctic sea ice anomalies with kernel analog forecasting D Comeau, D Giannakis, Z Zhao, AJ Majda Climate Dynamics 52, 5507-5525, 2019 | 21 | 2019 |
| Multi-frequency phase synchronization T Gao, Z Zhao International conference on machine learning, 2132-2141, 2019 | 19 | 2019 |
Amit SingerPrinceton UniversityVerified email at math.princeton.edu
