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2020 – today
- 2024
[i40]Hongyu Shen, Yici Yan, Zhizhen Zhao:
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection. CoRR abs/2402.17176 (2024)- 2023
- [j21]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:
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4(4): 45062 (2023) - [j20]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): 1398-1439 (2023) - [j19]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. SIAM J. Matrix Anal. Appl. 44(2): 781-821 (2023) - [j18]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): 28-30 (2023) - [j17]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): 148-163 (2023) - [j16]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): 13-15 (2023) - [j15]Lingda Wang, Zhizhen Zhao:
Multi-Frequency Joint Community Detection and Phase Synchronization. IEEE Trans. Signal Inf. Process. over Networks 9: 162-174 (2023) - [c26]Mona Zehni, Zhizhen Zhao:
CryoSWD: Sliced Wasserstein Distance Minimization for 3D Reconstruction in Cryo-electron Microscopy. ICASSP 2023: 1-5 - [i39]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 abs/2306.10443 (2023) - 2022
- [j14]Hongyu Shen, Eliu A. Huerta, Eamonn O'Shea, Prayush Kumar, Zhizhen Zhao:
Statistically-informed deep learning for gravitational wave parameter estimation. Mach. Learn. Sci. Technol. 3(1): 15007 (2022) - [j13]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. SIAM J. Math. Data Sci. 4(3): 1052-1081 (2022) - [j12]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: 2482-2486 (2022) - [j11]Mona Zehni, Zhizhen Zhao:
An Adversarial Learning Based Approach for 2D Unknown View Tomography. IEEE Trans. Computational Imaging 8: 705-720 (2022) - [c25]Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. ECCV Workshops (3) 2022: 587-604 - [c24]Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. ECCV (27) 2022: 641-658 - [i38]Lingda Wang, Zhizhen Zhao:
Multi-Frequency Joint Community Detection and Phase Synchronization. CoRR abs/2206.12276 (2022) - [i37]Shuai Huang, Mona Zehni, Ivan Dokmanic, Zhizhen Zhao:
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography. CoRR abs/2207.02985 (2022) - [i36]Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. CoRR abs/2207.14289 (2022) - [i35]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:
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022) - [i34]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:
FAIR AI Models in High Energy Physics. CoRR abs/2212.05081 (2022) - 2021
- [j10]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): 3634 (2021) - [j9]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: 2008-2012 (2021) - [c23]Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao:
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. AAAI 2021: 8324-8331 - [c22]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: 10156-10164 - [c21]Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao:
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP 2021: 3365-3369 - [c20]Mona Zehni, Zhizhen Zhao:
MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning. ICASSP 2021: 5115-5119 - [c19]Yifeng Fan, Zhizhen Zhao:
Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps. ICIP 2021: 3463-3467 - [c18]Mona Zehni, Zhizhen Zhao:
UVTOMO-GAN: An Adversarial Learning Based Approach For Unknown View X-Ray Tomographic Reconstruction. ISBI 2021: 1812-1816 - [c17]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: 1389-1399 - [i33]Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark:
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. CoRR abs/2101.07243 (2021) - [i32]Mona Zehni, Zhizhen Zhao:
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction. CoRR abs/2102.04590 (2021) - [i31]Parisa Karimi, Mark D. Butala, Zhizhen Zhao, Farzad Kamalabadi:
Spatial-temporal switching estimators for imaging locally concentrated dynamics. CoRR abs/2102.10167 (2021) - [i30]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. CoRR abs/2105.06031 (2021) - [i29]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 abs/2105.06441 (2021) - [i28]Eliu A. Huerta, Zhizhen Zhao:
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources. CoRR abs/2105.06479 (2021) - [i27]Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark:
Spacetime Neural Network for High Dimensional Quantum Dynamics. CoRR abs/2108.02200 (2021) - [i26]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:
A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR abs/2108.02214 (2021) - [i25]Mona Zehni, Zhizhen Zhao:
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction. CoRR abs/2108.09873 (2021) - [i24]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. CoRR abs/2112.13199 (2021) - 2020
- [j8]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): 711 (2020) - [j7]Zhizhen Zhao, Lydia T. Liu, Amit Singer:
Steerable ePCA: Rotationally Invariant Exponential Family PCA. IEEE Trans. Image Process. 29: 6069-6081 (2020) - [j6]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: 6151-6163 (2020) - [c16]Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao:
3D Unknown View Tomography Via Rotation Invariants. ICASSP 2020: 1449-1453 - [c15]Mona Zehni, Minh N. Do, Zhizhen Zhao:
Deepsharpen: Deep-Learning Based Sharpening Of 3D Reconstruction Map From Cryo-Electron Microscopy. ISBI Workshops 2020: 1-4 - [i23]Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao:
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. CoRR abs/2012.05284 (2020) - [i22]Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao:
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. CoRR abs/2012.05756 (2020)
2010 – 2019
- 2019
- [j5]Dimitrios Giannakis, Abbas Ourmazd, Joanna Slawinska, Zhizhen Zhao:
Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables. J. Nonlinear Sci. 29(5): 2385-2445 (2019) - [c14]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 - [c13]Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao:
Distance retrieval from unknown view tomography of 2D point sources. Computational Imaging 2019 - [c12]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: 10648-10656 - [c11]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders. ICASSP 2019: 3237-3241 - [c10]Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao:
Geometric Invariants for Sparse Unknown View Tomography. ICASSP 2019: 5027-5031 - [c9]Lingda Wang, Zhizhen Zhao:
Two-Dimensional Tomography from Noisy Projection Tilt Series Taken at Unknown View Angles with Non-Uniform Distributi. ICIP 2019: 1242-1246 - [c8]Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel:
LanczosNet: Multi-Scale Deep Graph Convolutional Networks. ICLR (Poster) 2019 - [c7]Yifeng Fan, Zhizhen Zhao:
Multi-Frequency Vector Diffusion Maps. ICML 2019: 1843-1852 - [c6]Tingran Gao, Zhizhen Zhao:
Multi-Frequency Phase Synchronization. ICML 2019: 2132-2141 - [c5]Yifeng Fan, Tingran Gao, Zhizhen Zhao:
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. NeurIPS 2019: 9038-9050 - [i21]Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel:
LanczosNet: Multi-Scale Deep Graph Convolutional Networks. CoRR abs/1901.01484 (2019) - [i20]Tingran Gao, Zhizhen Zhao:
Multi-Frequency Phase Synchronization. CoRR abs/1901.08235 (2019) - [i19]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:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i18]Hongyu Shen, Eliu A. Huerta, Zhizhen Zhao:
Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers. CoRR abs/1903.01998 (2019) - [i17]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders. CoRR abs/1903.03105 (2019) - [i16]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 abs/1904.05877 (2019) - [i15]Yifeng Fan, Zhizhen Zhao:
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps. CoRR abs/1904.07772 (2019) - [i14]Tingran Gao, Yifeng Fan, Zhizhen Zhao:
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy. CoRR abs/1906.01082 (2019) - [i13]Yifeng Fan, Zhizhen Zhao:
Multi-Frequency Vector Diffusion Maps. CoRR abs/1906.02605 (2019) - [i12]Yifeng Fan, Tingran Gao, Zhizhen Zhao:
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations. CoRR abs/1906.02707 (2019) - [i11]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 abs/1909.05886 (2019) - [i10]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:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - [i9]Arjun Gupta, Eliu A. Huerta, Zhizhen Zhao, Issam Moussa:
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms. CoRR abs/1912.07618 (2019) - 2018
- [j4]Hua Chen, Mona Zehni, Zhizhen Zhao:
A Spectral Method for Stable Bispectrum Inversion With Application to Multireference Alignment. IEEE Signal Process. Lett. 25(7): 911-915 (2018) - [j3]Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer:
Bispectrum Inversion With Application to Multireference Alignment. IEEE Trans. Signal Process. 66(4): 1037-1050 (2018) - [c4]Benjamin Eng, Zhizhen Zhao, Farzad Kamalabadi, Lara Waldrop:
Transformed Spiked Covariance Completion for Time Series Estimation. ICASSP 2018: 4484-4488 - [c3]Mona Zehni, Minh N. Do, Zhizhen Zhao:
Multi-Segment Reconstruction Using Invariant Features. ICASSP 2018: 4629-4633 - [i8]Eliu A. Huerta, Daniel George, Zhizhen Zhao, Gabrielle Allen:
Real-time regression analysis with deep convolutional neural networks. CoRR abs/1805.02716 (2018) - [i7]Zhizhen Zhao, Lydia T. Liu, Amit Singer:
Steerable ePCA. CoRR abs/1812.08789 (2018) - 2017
- [c2]Tejal Bhamre, Zhizhen Zhao, Amit Singer:
Mahalanobis distance for class averaging of cryo-EM images. ISBI 2017: 654-658 - [i6]Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer:
Bispectrum Inversion with Application to Multireference Alignment. CoRR abs/1705.00641 (2017) - [i5]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. CoRR abs/1711.09919 (2017) - 2016
- [j2]Zhizhen Zhao, Yoel Shkolnisky, Amit Singer:
Fast Steerable Principal Component Analysis. IEEE Trans. Computational Imaging 2(1): 1-12 (2016) - [i4]Tejal Bhamre, Zhizhen Zhao, Amit Singer:
Mahalanobis Distance for Class Averaging of Cryo-EM Images. CoRR abs/1611.03193 (2016) - 2015
- [c1]Dimitrios Giannakis, Joanna Slawinska, Zhizhen Zhao:
Spatiotemporal Feature Extraction with Data-Driven Koopman Operators. FE@NIPS 2015: 103-115 - 2014
- [i3]Zhizhen Zhao, Yoel Shkolnisky, Amit Singer:
Fast Steerable Principal Component Analysis. CoRR abs/1412.0781 (2014) - 2013
- [i2]Zhizhen Zhao, Amit Singer:
Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM. CoRR abs/1309.7643 (2013) - 2012
- [i1]Zhizhen Zhao, Amit Singer:
Fourier-Bessel rotational invariant eigenimages. CoRR abs/1211.1968 (2012) - 2011
- [j1]Amit Singer, Zhizhen Zhao, Yoel Shkolnisky, Ronny Hadani:
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors. SIAM J. Imaging Sci. 4(2): 723-759 (2011)
Coauthor Index
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