Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors. - Amit Singer; Zhizhen Zhao 001; Yoel Shkolnisky; Ronny Hadani (SIAM J. Imaging Sci., 2011)

Fourier-Bessel rotational invariant eigenimages - Zhizhen Zhao 001; Amit Singer (CoRR, 2012)

Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM. - Zhizhen Zhao 001; Amit Singer (CoRR, 2013)

Spatiotemporal Feature Extraction with Data-Driven Koopman Operators. - Dimitrios Giannakis; Joanna Slawinska; Zhizhen Zhao 001 (FE@NIPS, 2015)

Fast Steerable Principal Component Analysis. - Zhizhen Zhao 001; Yoel Shkolnisky; Amit Singer (IEEE Trans. Computational Imaging, 2016)

Mahalanobis distance for class averaging of cryo-EM images. - Tejal Bhamre; Zhizhen Zhao 001; Amit Singer (ISBI, 2017)

Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. - Hongyu Shen; Daniel George; Eliu A. Huerta; Zhizhen Zhao 001 (CoRR, 2017)

Transformed Spiked Covariance Completion for Time Series Estimation. - Benjamin Eng; Zhizhen Zhao 001; Farzad Kamalabadi; Lara Waldrop (ICASSP, 2018)

Multi-Segment Reconstruction Using Invariant Features. - Mona Zehni; Minh N. Do; Zhizhen Zhao 001 (ICASSP, 2018)

Real-time regression analysis with deep convolutional neural networks. - Eliu A. Huerta; Daniel George; Zhizhen Zhao 001; Gabrielle Allen (CoRR, 2018)

Steerable ePCA. - Zhizhen Zhao 001; Lydia T. Liu; Amit Singer (CoRR, 2018)

A Spectral Method for Stable Bispectrum Inversion With Application to Multireference Alignment. - Hua Chen; Mona Zehni; Zhizhen Zhao 001 (IEEE Signal Process. Lett., 2018)

Bispectrum Inversion With Application to Multireference Alignment. - Tamir Bendory; Nicolas Boumal; Chao Ma 012; Zhizhen Zhao 001; Amit Singer (IEEE Trans. Signal Process., 2018)

Joint density map and continuous angular refinement in cryo-electron microscopy. - Mona Zehni; Laurène Donati; Emmanuel Soubies; Zhizhen Zhao 001; Minh N. Do; Michael Unser (Computational Imaging, 2019)

Distance retrieval from unknown view tomography of 2D point sources. - Mona Zehni; Shuai Huang; Ivan Dokmanic; Zhizhen Zhao 001 (Computational Imaging, 2019)

Max-Sliced Wasserstein Distance and Its Use for GANs. - Ishan Deshpande; Yuan-Ting Hu; Ruoyu Sun 001; Ayis Pyrros; Nasir Siddiqui; Sanmi Koyejo; Zhizhen Zhao 001; David A. Forsyth; Alexander G. Schwing (CVPR, 2019)

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders. - Hongyu Shen; Daniel George; Eliu A. Huerta; Zhizhen Zhao 001 (ICASSP, 2019)

Geometric Invariants for Sparse Unknown View Tomography. - Mona Zehni; Shuai Huang; Ivan Dokmanic; Zhizhen Zhao 001 (ICASSP, 2019)

Two-Dimensional Tomography from Noisy Projection Tilt Series Taken at Unknown View Angles with Non-Uniform Distributi. - Lingda Wang; Zhizhen Zhao 001 (ICIP, 2019)

LanczosNet: Multi-Scale Deep Graph Convolutional Networks. - Renjie Liao; Zhizhen Zhao 001; Raquel Urtasun; Richard S. Zemel (ICLR (Poster), 2019)

Multi-Frequency Vector Diffusion Maps. - Yifeng Fan; Zhizhen Zhao 001 (ICML, 2019)

Multi-Frequency Phase Synchronization. - Tingran Gao; Zhizhen Zhao 001 (ICML, 2019)

Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. - Yifeng Fan; Tingran Gao; Zhizhen Zhao 001 (NeurIPS, 2019)

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

Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers. - Hongyu Shen; Eliu A. Huerta; Zhizhen Zhao 001 (CoRR, 2019)

Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps. - Yifeng Fan; Zhizhen Zhao 001 (CoRR, 2019)

Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy. - Tingran Gao; Yifeng Fan; Zhizhen Zhao 001 (CoRR, 2019)

Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. - Lingda Wang; Huozhi Zhou; Bingcong Li; Lav R. Varshney; Zhizhen Zhao 001 (CoRR, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - 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; et al. (CoRR, 2019)

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms. - Arjun Gupta; Eliu A. Huerta; Zhizhen Zhao 001; Issam Moussa (CoRR, 2019)

Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables. - Dimitrios Giannakis; Abbas Ourmazd; Joanna Slawinska; Zhizhen Zhao 001 (J. Nonlinear Sci., 2019)

3D Unknown View Tomography Via Rotation Invariants. - Mona Zehni; Shuai Huang; Ivan Dokmanic; Zhizhen Zhao 001 (ICASSP, 2020)

Deepsharpen: Deep-Learning Based Sharpening Of 3D Reconstruction Map From Cryo-Electron Microscopy. - Mona Zehni; Minh N. Do; Zhizhen Zhao 001 (ISBI Workshops, 2020)

Correction to: Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables. - Dimitrios Giannakis; Abbas Ourmazd; Joanna Slawinska; Zhizhen Zhao 001 (J. Nonlinear Sci., 2020)

Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM. - Mona Zehni; Laurène Donati; Emmanuel Soubies; Zhizhen Zhao 001; Michael Unser (IEEE Trans. Image Process., 2020)

Steerable ePCA: Rotationally Invariant Exponential Family PCA. - Zhizhen Zhao 001; Lydia T. Liu; Amit Singer (IEEE Trans. Image Process., 2020)

Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. - Bingcong Li; Lingda Wang; Georgios B. Giannakis; Zhizhen Zhao 001 (AAAI, 2021)

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. - Lingda Wang; Bingcong Li; Huozhi Zhou; Georgios B. Giannakis; Lav R. Varshney; Zhizhen Zhao 001 (AAAI, 2021)

Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. - Lingda Wang; Huozhi Zhou; Bingcong Li; Lav R. Varshney; Zhizhen Zhao 001 (ICASSP, 2021)

MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning. - Mona Zehni; Zhizhen Zhao 001 (ICASSP, 2021)

Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps. - Yifeng Fan; Zhizhen Zhao 001 (ICIP, 2021)

UVTOMO-GAN: An Adversarial Learning Based Approach For Unknown View X-Ray Tomographic Reconstruction. - Mona Zehni; Zhizhen Zhao 001 (ISBI, 2021)

DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. - Safa Messaoud; Ismini Lourentzou; Assma Boughoula; Mona Zehni; Zhizhen Zhao 001; Chengxiang Zhai; Alexander G. Schwing (SIGIR, 2021)

Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. - Di Luo; Zhuo Chen; Kaiwen Hu; Zhizhen Zhao 001; Vera Mikyoung Hur; Bryan K. Clark (CoRR, 2021)

Spatial-temporal switching estimators for imaging locally concentrated dynamics. - Parisa Karimi; Mark D. Butala; Zhizhen Zhao 001; Farzad Kamalabadi (CoRR, 2021)

Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources. - Eliu A. Huerta; Zhizhen Zhao 001 (CoRR, 2021)

Spacetime Neural Network for High Dimensional Quantum Dynamics. - Jiangran Wang; Zhuo Chen; Di Luo; Zhizhen Zhao 001; Vera Mikyoung Hur; Bryan K. Clark (CoRR, 2021)

A FAIR and AI-ready Higgs Boson Decay Dataset. - Yifan Chen; Eliu A. Huerta; Javier M. Duarte; Philip C. Harris; Daniel S. Katz; Mark S. Neubauer; Daniel Diaz 003; Farouk Mokhtar; Raghav Kansal; Sang Eon Park; Volodymyr V. Kindratenko; Zhizhen Zhao 001; et al. (CoRR, 2021)

An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction. - Mona Zehni; Zhizhen Zhao 001 (CoRR, 2021)

Quantification of Mismatch Error in Randomly Switching Linear State-Space Models. - Parisa Karimi; Zhizhen Zhao 001; Mark D. Butala; Farzad Kamalabadi (IEEE Signal Process. Lett., 2021)

Initialization and Alignment for Adversarial Texture Optimization. - Xiaoming Zhao 001; Zhizhen Zhao 001; Alexander G. Schwing (ECCV Workshops (3), 2022)

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. - Eliu A. Huerta; Ben Blaiszik; L. Catherine Brinson; Kristofer E. Bouchard; Daniel Diaz 003; Caterina Doglioni; Javier M. Duarte; Murali Emani; Ian T. Foster; Geoffrey C. Fox; Philip C. Harris; Lukas Heinrich; et al. (CoRR, 2022)

Statistically-informed deep learning for gravitational wave parameter estimation. - Hongyu Shen; Eliu A. Huerta; Eamonn O'Shea; Prayush Kumar; Zhizhen Zhao 001 (Mach. Learn. Sci. Technol., 2022)

Efficient Model Selection in Switching Linear Dynamic Systems by Graph Clustering. - Parisa Karimi; Mark D. Butala; Zhizhen Zhao 001; Farzad Kamalabadi (IEEE Signal Process. Lett., 2022)

An Adversarial Learning Based Approach for 2D Unknown View Tomography. - Mona Zehni; Zhizhen Zhao 001 (IEEE Trans. Computational Imaging, 2022)

Joint Community Detection and Rotational Synchronization via Semidefinite Programming. - Yifeng Fan; Yuehaw Khoo; Zhizhen Zhao 001 (SIAM J. Math. Data Sci., 2022)

CryoSWD: Sliced Wasserstein Distance Minimization for 3D Reconstruction in Cryo-electron Microscopy. - Mona Zehni; Zhizhen Zhao 001 (ICASSP, 2023)

Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation. - Lingda Wang; Savana Ammons; Vera Mikyoung Hur; Ryan L. Sriver; Zhizhen Zhao 001 (CoRR, 2023)

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. - Zhizhen Zhao 001; Jong Chul Ye; Yoram Bresler (IEEE Signal Process. Mag., 2023)

Multi-Frequency Joint Community Detection and Phase Synchronization. - Lingda Wang; Zhizhen Zhao 001 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. - Yifeng Fan; Yuehaw Khoo; Zhizhen Zhao 001 (SIAM J. Matrix Anal. Appl., 2023)

Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography. - Shuai Huang; Mona Zehni; Ivan Dokmanic; Zhizhen Zhao 001 (SIAM J. Imaging Sci., 2023)

FAIR AI models in high energy physics. - Javier M. Duarte; Haoyang Li; Avik Roy; Ruike Zhu; Eliu A. Huerta; Daniel Diaz 003; Philip C. Harris; Raghav Kansal; Daniel S. Katz; Ishaan H. Kavoori; Volodymyr V. Kindratenko; Farouk Mokhtar; et al. (Mach. Learn. Sci. Technol., 2023)

DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection. - Hongyu Shen; Yici Yan; Zhizhen Jane Zhao (NeurIPS, 2024)

Information Limits of Joint Community Detection and Finite Group Synchronization. - Yifeng Fan; Zhizhen Zhao 001 (CoRR, 2024)

Boosting Test Performance with Importance Sampling-a Subpopulation Perspective. - Hongyu Shen; Zhizhen Zhao 001 (AAAI, 2025)

FIG: Flow with Interpolant Guidance for Linear Inverse Problems. - Yici Yan; Yichi Zhang; Xiangming Meng; Zhizhen Zhao 001 (ICLR, 2025)

Towards Hierarchical Rectified Flow. - Yichi Zhang; Yici Yan; Alexander G. Schwing; Zhizhen Zhao 001 (ICLR, 2025)

Hierarchical Rectified Flow Matching with Mini-Batch Couplings. - Yichi Zhang; Yici Yan; Alex Schwing; Zhizhen Zhao 001 (CoRR, 2025)