Zhizhen (Jane) Zhao
Zhizhen (Jane) Zhao
Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign
Verified email at - Homepage
Cited by
Cited by
Lanczosnet: Multi-scale deep graph convolutional networks
R Liao, Z Zhao, R Urtasun, RS Zemel
arXiv preprint arXiv:1901.01484, 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
Rotationally invariant image representation for viewing direction classification in cryo-EM
Z Zhao, A Singer
Journal of structural biology 186 (1), 153-166, 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
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
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
Analog forecasting with dynamics-adapted kernels
Z Zhao, D Giannakis
Nonlinearity 29 (9), 2888, 2016
Spatiotemporal feature extraction with data-driven Koopman operators
D Giannakis, J Slawinska, Z Zhao
Feature Extraction: Modern Questions and Challenges, 103-115, 2015
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
Fast steerable principal component analysis
Z Zhao, Y Shkolnisky, A Singer
IEEE transactions on computational imaging 2 (1), 1-12, 2016
Fourier–Bessel rotational invariant eigenimages
Z Zhao, A Singer
JOSA A 30 (5), 871-877, 2013
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
Statistically-informed deep learning for gravitational wave parameter estimation
H Shen, EA Huerta, E O’Shea, P Kumar, Z Zhao
Machine Learning: Science and Technology 3 (1), 015007, 2021
Deep learning for cardiologist-level myocardial infarction detection in electrocardiograms
A Gupta, E Huerta, Z Zhao, I Moussa
8th European Medical and Biological Engineering Conference: Proceedings of …, 2021
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
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
A FAIR and AI-ready Higgs boson decay dataset
Y Chen, EA Huerta, J Duarte, P Harris, DS Katz, MS Neubauer, D Diaz, ...
Scientific Data 9 (1), 31, 2022
Advances in machine and deep learning for modeling and real-time detection of multi-messenger sources
EA Huerta, Z Zhao
Handbook of Gravitational Wave Astronomy, 1793-1819, 2022
Spatiotemporal pattern extraction by spectral analysis of vector-valued observables
D Giannakis, A Ourmazd, J Slawinska, Z Zhao
Journal of Nonlinear Science 29 (5), 2385-2445, 2019
Multi-frequency phase synchronization
T Gao, Z Zhao
International conference on machine learning, 2132-2141, 2019
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