Zhizhen Zhao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 82

Top Topics

Electron Microscopy

Tomographic Reconstruction

Top Venues

IEEE Signal Process. Lett.

IEEE Signal Process. Mag.

Publications

Hongyu Shen, Yici Yan, Zhizhen Zhao
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection. CoRR (2024)
Shuai Huang, Mona Zehni, Ivan Dokmanic, Zhizhen Zhao
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography. SIAM J. Imaging Sci. 16 (3) (2023)
Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. 40 (1) (2023)
Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 40 (2) (2023)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. SIAM J. Matrix Anal. Appl. 44 (2) (2023)
Zhizhen Zhao, Jong Chul Ye, Yoram Bresler
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. IEEE Signal Process. Mag. 40 (1) (2023)
Lingda Wang, Zhizhen Zhao
Multi-Frequency Joint Community Detection and Phase Synchronization. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4 (4) (2023)
Mona Zehni, Zhizhen Zhao
CryoSWD: Sliced Wasserstein Distance Minimization for 3D Reconstruction in Cryo-electron Microscopy. ICASSP (2023)
Lingda Wang, Savana Ammons, Vera Mikyoung Hur, Ryan L. Sriver, Zhizhen Zhao
Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation. CoRR (2023)
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E. A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao
FAIR AI Models in High Energy Physics. CoRR (2022)
Lingda Wang, Zhizhen Zhao
Multi-Frequency Joint Community Detection and Phase Synchronization. CoRR (2022)
E. A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR (2022)
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
Initialization and Alignment for Adversarial Texture Optimization. ECCV (27) (2022)
Mona Zehni, Zhizhen Zhao
An Adversarial Learning Based Approach for 2D Unknown View Tomography. IEEE Trans. Computational Imaging 8 (2022)
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
Initialization and Alignment for Adversarial Texture Optimization. ECCV Workshops (3) (2022)
Parisa Karimi, Mark D. Butala, Zhizhen Zhao, Farzad Kamalabadi
Efficient Model Selection in Switching Linear Dynamic Systems by Graph Clustering. IEEE Signal Process. Lett. 29 (2022)
Hongyu Shen, E. A. Huerta, Eamonn O'Shea, Prayush Kumar, Zhizhen Zhao
Statistically-informed deep learning for gravitational wave parameter estimation. Mach. Learn. Sci. Technol. 3 (1) (2022)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. SIAM J. Math. Data Sci. 4 (3) (2022)
Shuai Huang, Mona Zehni, Ivan Dokmanic, Zhizhen Zhao
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography. CoRR (2022)
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
Initialization and Alignment for Adversarial Texture Optimization. CoRR (2022)
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. SIGIR (2021)
Mona Zehni, Zhizhen Zhao
MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning. ICASSP (2021)
Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. CoRR (2021)
Jianwei Wang, Zhizhen Zhao, Xiangwen Zeng, Xiyu Liu, Youfan Hu
A Tubular Flexible Triboelectric Nanogenerator with a Superhydrophobic Surface for Human Motion Detecting. Sensors 21 (11) (2021)
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP (2021)
Yifan Chen, E. A. Huerta, Javier M. Duarte, Philip C. Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR (2021)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. CoRR (2021)
Mona Zehni, Zhizhen Zhao
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction. CoRR (2021)
Mona Zehni, Zhizhen Zhao
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction. CoRR (2021)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. CoRR (2021)
Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
Spacetime Neural Network for High Dimensional Quantum Dynamics. CoRR (2021)
Mona Zehni, Zhizhen Zhao
UVTOMO-GAN: An Adversarial Learning Based Approach For Unknown View X-Ray Tomographic Reconstruction. ISBI (2021)
E. A. Huerta, Zhizhen Zhao
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources. CoRR (2021)
Parisa Karimi, Mark D. Butala, Zhizhen Zhao, Farzad Kamalabadi
Spatial-temporal switching estimators for imaging locally concentrated dynamics. CoRR (2021)
Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. AAAI (2021)
Parisa Karimi, Zhizhen Zhao, Mark D. Butala, Farzad Kamalabadi
Quantification of Mismatch Error in Randomly Switching Linear State-Space Models. IEEE Signal Process. Lett. 28 (2021)
Yifeng Fan, Zhizhen Zhao
Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps. ICIP (2021)
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. CoRR (2021)
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. AAAI (2021)
Zhizhen Zhao, Lydia T. Liu, Amit Singer
Steerable ePCA: Rotationally Invariant Exponential Family PCA. IEEE Trans. Image Process. 29 (2020)
Dimitrios Giannakis, Abbas Ourmazd, Joanna Slawinska, Zhizhen Zhao
Correction to: Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables. J. Nonlinear Sci. 30 (2) (2020)
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. CoRR (2020)
Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. CoRR (2020)
Mona Zehni, Laurène Donati, Emmanuel Soubies, Zhizhen Zhao, Michael Unser
Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM. IEEE Trans. Image Process. 29 (2020)
Mona Zehni, Minh N. Do, Zhizhen Zhao
Deepsharpen: Deep-Learning Based Sharpening Of 3D Reconstruction Map From Cryo-Electron Microscopy. ISBI Workshops (2020)
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
3D Unknown View Tomography Via Rotation Invariants. ICASSP (2020)
Yifeng Fan, Tingran Gao, Zhizhen Zhao
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. CoRR (2019)
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. CoRR (2019)
Yifeng Fan, Zhizhen Zhao
Multi-Frequency Vector Diffusion Maps. ICML (2019)
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
Max-Sliced Wasserstein Distance and Its Use for GANs. CVPR (2019)
Hongyu Shen, E. A. Huerta, Zhizhen Zhao
Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers. CoRR (2019)
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel
LanczosNet: Multi-Scale Deep Graph Convolutional Networks. ICLR (Poster) (2019)
Tingran Gao, Zhizhen Zhao
Multi-Frequency Phase Synchronization. ICML (2019)
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
Max-Sliced Wasserstein Distance and its use for GANs. CoRR (2019)
Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders. ICASSP (2019)
Arjun Gupta, E. A. Huerta, Zhizhen Zhao, Issam Moussa
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms. CoRR (2019)
Tingran Gao, Zhizhen Zhao
Multi-Frequency Phase Synchronization. CoRR (2019)
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
Distance retrieval from unknown view tomography of 2D point sources. Computational Imaging (2019)
Yifeng Fan, Zhizhen Zhao
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps. CoRR (2019)
Hongyu Shen, Daniel George, E. A. Huerta, Zhizhen Zhao
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders. CoRR (2019)
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR (2019)
Yifeng Fan, Tingran Gao, Zhizhen Zhao
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. NeurIPS (2019)
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel
LanczosNet: Multi-Scale Deep Graph Convolutional Networks. CoRR (2019)
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
Geometric Invariants for Sparse Unknown View Tomography. ICASSP (2019)
Tingran Gao, Yifeng Fan, Zhizhen Zhao
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy. CoRR (2019)
Lingda Wang, Zhizhen Zhao
Two-Dimensional Tomography from Noisy Projection Tilt Series Taken at Unknown View Angles with Non-Uniform Distributi. ICIP (2019)
Mona Zehni, Laurène Donati, Emmanuel Soubies, Zhizhen Zhao, Minh N. Do, Michael Unser
Joint density map and continuous angular refinement in cryo-electron microscopy. Computational Imaging (2019)
Dimitrios Giannakis, Abbas Ourmazd, Joanna Slawinska, Zhizhen Zhao
Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables. J. Nonlinear Sci. 29 (5) (2019)
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR (2019)
Yifeng Fan, Zhizhen Zhao
Multi-Frequency Vector Diffusion Maps. CoRR (2019)
Hua Chen, Mona Zehni, Zhizhen Zhao
A Spectral Method for Stable Bispectrum Inversion With Application to Multireference Alignment. IEEE Signal Process. Lett. 25 (7) (2018)
Benjamin Eng, Zhizhen Zhao, Farzad Kamalabadi, Lara Waldrop
Transformed Spiked Covariance Completion for Time Series Estimation. ICASSP (2018)
E. A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen
Real-time regression analysis with deep convolutional neural networks. CoRR (2018)
Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer
Bispectrum Inversion With Application to Multireference Alignment. IEEE Trans. Signal Process. 66 (4) (2018)
Zhizhen Zhao, Lydia T. Liu, Amit Singer
Steerable ePCA. CoRR (2018)
Mona Zehni, Minh N. Do, Zhizhen Zhao
Multi-Segment Reconstruction Using Invariant Features. ICASSP (2018)
Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer
Bispectrum Inversion with Application to Multireference Alignment. CoRR (2017)
Hongyu Shen, Daniel George, E. A. Huerta, Zhizhen Zhao
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. CoRR (2017)
Tejal Bhamre, Zhizhen Zhao, Amit Singer
Mahalanobis distance for class averaging of cryo-EM images. ISBI (2017)
Zhizhen Zhao, Yoel Shkolnisky, Amit Singer
Fast Steerable Principal Component Analysis. IEEE Trans. Computational Imaging 2 (1) (2016)
Tejal Bhamre, Zhizhen Zhao, Amit Singer
Mahalanobis Distance for Class Averaging of Cryo-EM Images. CoRR (2016)
Dimitrios Giannakis, Joanna Slawinska, Zhizhen Zhao
Spatiotemporal Feature Extraction with Data-Driven Koopman Operators. FE@NIPS (2015)
Zhizhen Zhao, Yoel Shkolnisky, Amit Singer
Fast Steerable Principal Component Analysis. CoRR (2014)
Zhizhen Zhao, Amit Singer
Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM. CoRR (2013)
Zhizhen Zhao, Amit Singer
Fourier-Bessel rotational invariant eigenimages CoRR (2012)
Amit Singer, Zhizhen Zhao, Yoel Shkolnisky, Ronny Hadani
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors. SIAM J. Imaging Sci. 4 (2) (2011)