Zhizhen Zhao

Orcid: 0000-0003-3594-5840

According to our database1, Zhizhen Zhao authored at least 67 papers between 2011 and 2024.

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Bibliography

2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection.
CoRR, 2024

2023
FAIR AI models in high energy physics.
Mach. Learn. Sci. Technol., December, 2023

Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography.
SIAM J. Imaging Sci., September, 2023

A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization.
SIAM J. Matrix Anal. Appl., June, 2023

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors].
IEEE Signal Process. Mag., March, 2023

Multi-Frequency Joint Community Detection and Phase Synchronization.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications.
IEEE Signal Process. Mag., 2023

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor].
IEEE Signal Process. Mag., 2023

Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation.
CoRR, 2023

CryoSWD: Sliced Wasserstein Distance Minimization for 3D Reconstruction in Cryo-electron Microscopy.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Joint Community Detection and Rotational Synchronization via Semidefinite Programming.
SIAM J. Math. Data Sci., September, 2022

An Adversarial Learning Based Approach for 2D Unknown View Tomography.
IEEE Trans. Computational Imaging, 2022

Efficient Model Selection in Switching Linear Dynamic Systems by Graph Clustering.
IEEE Signal Process. Lett., 2022

Statistically-informed deep learning for gravitational wave parameter estimation.
Mach. Learn. Sci. Technol., 2022

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.
CoRR, 2022

Initialization and Alignment for Adversarial Texture Optimization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Quantification of Mismatch Error in Randomly Switching Linear State-Space Models.
IEEE Signal Process. Lett., 2021

A Tubular Flexible Triboelectric Nanogenerator with a Superhydrophobic Surface for Human Motion Detecting.
Sensors, 2021

An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction.
CoRR, 2021

A FAIR and AI-ready Higgs Boson Decay Dataset.
CoRR, 2021

Spacetime Neural Network for High Dimensional Quantum Dynamics.
CoRR, 2021

Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources.
CoRR, 2021

Spatial-temporal switching estimators for imaging locally concentrated dynamics.
CoRR, 2021

Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models.
CoRR, 2021

DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

UVTOMO-GAN: An Adversarial Learning Based Approach For Unknown View X-Ray Tomographic Reconstruction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits.
Proceedings of the IEEE International Conference on Acoustics, 2021

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Steerable ePCA: Rotationally Invariant Exponential Family PCA.
IEEE Trans. Image Process., 2020

Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM.
IEEE Trans. Image Process., 2020

Correction to: Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables.
J. Nonlinear Sci., 2020

Deepsharpen: Deep-Learning Based Sharpening Of 3D Reconstruction Map From Cryo-Electron Microscopy.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

3D Unknown View Tomography Via Rotation Invariants.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables.
J. Nonlinear Sci., 2019

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms.
CoRR, 2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR, 2019

Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits.
CoRR, 2019

Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy.
CoRR, 2019

Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps.
CoRR, 2019

Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers.
CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR, 2019

Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Frequency Phase Synchronization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Multi-Frequency Vector Diffusion Maps.
Proceedings of the 36th International Conference on Machine Learning, 2019

LanczosNet: Multi-Scale Deep Graph Convolutional Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Two-Dimensional Tomography from Noisy Projection Tilt Series Taken at Unknown View Angles with Non-Uniform Distributi.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Geometric Invariants for Sparse Unknown View Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2019

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders.
Proceedings of the IEEE International Conference on Acoustics, 2019

Max-Sliced Wasserstein Distance and Its Use for GANs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distance retrieval from unknown view tomography of 2D point sources.
Proceedings of the Computational Imaging XVII, Burlingame, 2019

Joint density map and continuous angular refinement in cryo-electron microscopy.
Proceedings of the Computational Imaging XVII, Burlingame, 2019

2018
Bispectrum Inversion With Application to Multireference Alignment.
IEEE Trans. Signal Process., 2018

A Spectral Method for Stable Bispectrum Inversion With Application to Multireference Alignment.
IEEE Signal Process. Lett., 2018

Steerable ePCA.
CoRR, 2018

Real-time regression analysis with deep convolutional neural networks.
CoRR, 2018

Multi-Segment Reconstruction Using Invariant Features.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Transformed Spiked Covariance Completion for Time Series Estimation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders.
CoRR, 2017

Mahalanobis distance for class averaging of cryo-EM images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Fast Steerable Principal Component Analysis.
IEEE Trans. Computational Imaging, 2016

2015
Spatiotemporal Feature Extraction with Data-Driven Koopman Operators.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2013
Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM.
CoRR, 2013

2012
Fourier-Bessel rotational invariant eigenimages
CoRR, 2012

2011
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors.
SIAM J. Imaging Sci., 2011


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