Zhizhen Zhao

98 papers A* 10B 2Misc 8Journal 67Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Information Limits of Joint Community Detection and Finite Group Synchronization.
IEEE Trans. Inf. Theory
Yifeng Fan, Zhizhen Zhao
2025 J jnl
Aggregated Kalman Filter: Efficient Switching Linear Dynamic Estimation via Merging Priors.
IEEE Trans. Signal Process.
Parisa Karimi, Ilan Shomorony, Zhizhen Zhao, Farzad Kamalabadi
2025 A* conf
Boosting Test Performance with Importance Sampling-a Subpopulation Perspective.
AAAI
Hongyu Shen, Zhizhen Zhao
2025 A* conf
FIG: Flow with Interpolant Guidance for Linear Inverse Problems.
ICLR
Yici Yan, Yichi Zhang, Xiangming Meng, Zhizhen Zhao
2025 — conf
Flow With Interpolant Guidance for Linear Inverse Problems.
CAMSAP
Yici Yan, Yichi Zhang, Xiangming Meng, Zhizhen Zhao
2025 — conf
Hierarchical Flow Matching For Probabilistic Time Series Forecasting.
CAMSAP
Christopher S. Lee, Zhizhen Zhao
2025 J jnl
Hierarchical Rectified Flow Matching with Mini-Batch Couplings.
CoRR
Yichi Zhang, Yici Yan, Alex Schwing, Zhizhen Zhao
2025 A* conf
Towards Hierarchical Rectified Flow.
ICLR
Yichi Zhang, Yici Yan, Alexander G. Schwing, Zhizhen Zhao
2025 J jnl
Towards Hierarchical Rectified Flow.
CoRR
Yichi Zhang, Yici Yan, Alexander G. Schwing, Zhizhen Zhao
2025 J jnl
Variational Masked Diffusion Models.
CoRR
Yichi Zhang, Alex Schwing, Zhizhen Zhao
2024 J jnl
Boosting Test Performance with Importance Sampling-a Subpopulation Perspective.
CoRR
Hongyu Shen, Zhizhen Zhao
2024 J jnl
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection.
CoRR
Hongyu Shen, Yici Yan, Zhizhen Zhao
2024 J jnl
Information Limits of Joint Community Detection and Finite Group Synchronization.
CoRR
Yifeng Fan, Zhizhen Zhao
2023 J jnl
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization.
SIAM J. Matrix Anal. Appl.
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2023 J jnl
Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation.
CoRR
Lingda Wang, Savana Ammons, Vera Mikyoung Hur, Ryan L. Sriver, Zhizhen Zhao
2023 Misc conf
CryoSWD: Sliced Wasserstein Distance Minimization for 3D Reconstruction in Cryo-electron Microscopy.
ICASSP
Mona Zehni, Zhizhen Zhao
2023 J jnl
FAIR AI models in high energy physics.
Mach. Learn. Sci. Technol.
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu 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
2023 J jnl
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications.
IEEE Signal Process. Mag.
Zhizhen Zhao, Jong Chul Ye, Yoram Bresler
2023 J jnl
Multi-Frequency Joint Community Detection and Phase Synchronization.
IEEE Trans. Signal Inf. Process. over Networks
Lingda Wang, Zhizhen Zhao
2023 J jnl
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography.
SIAM J. Imaging Sci.
Shuai Huang, Mona Zehni, Ivan Dokmanic, Zhizhen Zhao
2023 J jnl
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor].
IEEE Signal Process. Mag.
Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2023 J jnl
Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors].
IEEE Signal Process. Mag.
Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2022 J jnl
An Adversarial Learning Based Approach for 2D Unknown View Tomography.
IEEE Trans. Computational Imaging
Mona Zehni, Zhizhen Zhao
2022 J jnl
Efficient Model Selection in Switching Linear Dynamic Systems by Graph Clustering.
IEEE Signal Process. Lett.
Parisa Karimi, Mark D. Butala, Zhizhen Zhao, Farzad Kamalabadi
2022 J jnl
FAIR AI Models in High Energy Physics.
CoRR
Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu 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
2022 J jnl
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.
CoRR
Eliu 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
2022 — conf
Initialization and Alignment for Adversarial Texture Optimization.
ECCV (27)
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
2022 — conf
Initialization and Alignment for Adversarial Texture Optimization.
ECCV Workshops (3)
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
2022 J jnl
Initialization and Alignment for Adversarial Texture Optimization.
CoRR
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
2022 J jnl
Joint Community Detection and Rotational Synchronization via Semidefinite Programming.
SIAM J. Math. Data Sci.
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2022 J jnl
Multi-Frequency Joint Community Detection and Phase Synchronization.
CoRR
Lingda Wang, Zhizhen Zhao
2022 J jnl
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography.
CoRR
Shuai Huang, Mona Zehni, Ivan Dokmanic, Zhizhen Zhao
2022 J jnl
Statistically-informed deep learning for gravitational wave parameter estimation.
Mach. Learn. Sci. Technol.
Hongyu Shen, Eliu A. Huerta, Eamonn O'Shea, Prayush Kumar, Zhizhen Zhao
2021 J jnl
A FAIR and AI-ready Higgs Boson Decay Dataset.
CoRR
Yifan Chen, Eliu 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
2021 J jnl
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization.
CoRR
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2021 J jnl
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources.
CoRR
Eliu A. Huerta, Zhizhen Zhao
2021 A* conf
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations.
AAAI
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
2021 J jnl
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction.
CoRR
Mona Zehni, Zhizhen Zhao
2021 B conf
Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps.
ICIP
Yifeng Fan, Zhizhen Zhao
2021 A* conf
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization.
SIGIR
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing
2021 J jnl
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization.
CoRR
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing
2021 A* conf
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem.
AAAI
Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
2021 J jnl
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models.
CoRR
Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
2021 J jnl
Joint Community Detection and Rotational Synchronization via Semidefinite Programming.
CoRR
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2021 Misc conf
MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning.
ICASSP
Mona Zehni, Zhizhen Zhao
2021 Misc conf
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits.
ICASSP
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
2021 J jnl
Quantification of Mismatch Error in Randomly Switching Linear State-Space Models.
IEEE Signal Process. Lett.
Parisa Karimi, Zhizhen Zhao, Mark D. Butala, Farzad Kamalabadi
2021 J jnl
Spacetime Neural Network for High Dimensional Quantum Dynamics.
CoRR
Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
2021 J jnl
Spatial-temporal switching estimators for imaging locally concentrated dynamics.
CoRR
Parisa Karimi, Mark D. Butala, Zhizhen Zhao, Farzad Kamalabadi
2021 — conf
UVTOMO-GAN: An Adversarial Learning Based Approach For Unknown View X-Ray Tomographic Reconstruction.
ISBI
Mona Zehni, Zhizhen Zhao
2021 J jnl
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction.
CoRR
Mona Zehni, Zhizhen Zhao
2020 Misc conf
3D Unknown View Tomography Via Rotation Invariants.
ICASSP
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
2020 J jnl
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations.
CoRR
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
2020 J jnl
Correction to: Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables.
J. Nonlinear Sci.
Dimitrios Giannakis, Abbas Ourmazd, Joanna Slawinska, Zhizhen Zhao
2020 — conf
Deepsharpen: Deep-Learning Based Sharpening Of 3D Reconstruction Map From Cryo-Electron Microscopy.
ISBI Workshops
Mona Zehni, Minh N. Do, Zhizhen Zhao
2020 J jnl
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem.
CoRR
Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
2020 J jnl
Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM.
IEEE Trans. Image Process.
Mona Zehni, Laurène Donati, Emmanuel Soubies, Zhizhen Zhao, Michael Unser
2020 J jnl
Steerable ePCA: Rotationally Invariant Exponential Family PCA.
IEEE Trans. Image Process.
Zhizhen Zhao, Lydia T. Liu, Amit Singer
2019 J jnl
Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits.
CoRR
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
2019 J jnl
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps.
CoRR
Yifeng Fan, Zhizhen Zhao
2019 J jnl
Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers.
CoRR
Hongyu Shen, Eliu A. Huerta, Zhizhen Zhao
2019 J jnl
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms.
CoRR
Arjun Gupta, Eliu A. Huerta, Zhizhen Zhao, Issam Moussa
2019 J jnl
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR
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, Eliu 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 S. 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
2019 J jnl
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders.
CoRR
Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2019 Misc conf
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders.
ICASSP
Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2019 — conf
Distance retrieval from unknown view tomography of 2D point sources.
Computational Imaging
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
2019 J jnl
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR
Eliu 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 S. 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
2019 Misc conf
Geometric Invariants for Sparse Unknown View Tomography.
ICASSP
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
2019 — conf
Joint density map and continuous angular refinement in cryo-electron microscopy.
Computational Imaging
Mona Zehni, Laurène Donati, Emmanuel Soubies, Zhizhen Zhao, Minh N. Do, Michael Unser
2019 — conf
LanczosNet: Multi-Scale Deep Graph Convolutional Networks.
ICLR (Poster)
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel
2019 J jnl
LanczosNet: Multi-Scale Deep Graph Convolutional Networks.
CoRR
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel
2019 A* conf
Max-Sliced Wasserstein Distance and Its Use for GANs.
CVPR
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
2019 J jnl
Max-Sliced Wasserstein Distance and its use for GANs.
CoRR
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing
2019 A* conf
Multi-Frequency Phase Synchronization.
ICML
Tingran Gao, Zhizhen Zhao
2019 J jnl
Multi-Frequency Phase Synchronization.
CoRR
Tingran Gao, Zhizhen Zhao
2019 A* conf
Multi-Frequency Vector Diffusion Maps.
ICML
Yifeng Fan, Zhizhen Zhao
2019 J jnl
Multi-Frequency Vector Diffusion Maps.
CoRR
Yifeng Fan, Zhizhen Zhao
2019 J jnl
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy.
CoRR
Tingran Gao, Yifeng Fan, Zhizhen Zhao
2019 J jnl
Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables.
J. Nonlinear Sci.
Dimitrios Giannakis, Abbas Ourmazd, Joanna Slawinska, Zhizhen Zhao
2019 B conf
Two-Dimensional Tomography from Noisy Projection Tilt Series Taken at Unknown View Angles with Non-Uniform Distributi.
ICIP
Lingda Wang, Zhizhen Zhao
2019 A* conf
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations.
NeurIPS
Yifeng Fan, Tingran Gao, Zhizhen Zhao
2019 J jnl
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations.
CoRR
Yifeng Fan, Tingran Gao, Zhizhen Zhao
2018 J jnl
A Spectral Method for Stable Bispectrum Inversion With Application to Multireference Alignment.
IEEE Signal Process. Lett.
Hua Chen, Mona Zehni, Zhizhen Zhao
2018 J jnl
Bispectrum Inversion With Application to Multireference Alignment.
IEEE Trans. Signal Process.
Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer
2018 Misc conf
Multi-Segment Reconstruction Using Invariant Features.
ICASSP
Mona Zehni, Minh N. Do, Zhizhen Zhao
2018 J jnl
Real-time regression analysis with deep convolutional neural networks.
CoRR
Eliu A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen
2018 J jnl
Steerable ePCA.
CoRR
Zhizhen Zhao, Lydia T. Liu, Amit Singer
2018 Misc conf
Transformed Spiked Covariance Completion for Time Series Estimation.
ICASSP
Benjamin Eng, Zhizhen Zhao, Farzad Kamalabadi, Lara Waldrop
2017 J jnl
Bispectrum Inversion with Application to Multireference Alignment.
CoRR
Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer
2017 J jnl
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders.
CoRR
Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2017 — conf
Mahalanobis distance for class averaging of cryo-EM images.
ISBI
Tejal Bhamre, Zhizhen Zhao, Amit Singer
2016 J jnl
Fast Steerable Principal Component Analysis.
IEEE Trans. Computational Imaging
Zhizhen Zhao, Yoel Shkolnisky, Amit Singer
2016 J jnl
Mahalanobis Distance for Class Averaging of Cryo-EM Images.
CoRR
Tejal Bhamre, Zhizhen Zhao, Amit Singer
2015 — conf
Spatiotemporal Feature Extraction with Data-Driven Koopman Operators.
FE@NIPS
Dimitrios Giannakis, Joanna Slawinska, Zhizhen Zhao
2014 J jnl
Fast Steerable Principal Component Analysis.
CoRR
Zhizhen Zhao, Yoel Shkolnisky, Amit Singer
2013 J jnl
Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM.
CoRR
Zhizhen Zhao, Amit Singer
2012 J jnl
Fourier-Bessel rotational invariant eigenimages
CoRR
Zhizhen Zhao, Amit Singer
2011 J jnl
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors.
SIAM J. Imaging Sci.
Amit Singer, Zhizhen Zhao, Yoel Shkolnisky, Ronny Hadani