Zhizhen Jane Zhao

Associate Professor
William L. Everitt Fellow
Department of Electrical and Computer Engineering
Coordinated Science Laboratory
Affiliate Assistant Professor
Department of Mathematics and Department of Statistics
University of Illinois at Urbana-Champaign

Office: 109 CSL, 1308 W Main St, Urbana, IL 61801
eMail: zhizhenz at illinois dot edu

Publications

Preprints

  • L. Wang, S. Ammons, V. M. Hur, R. L. Sriver, and Z. Zhao, "Convolutional GRU Network for Seasonal Prediction of the El Nino-Southern Oscillation", (2023).

    Journals

  • S. Huang, M. Zehni, I. Dokmanic, and Z. Zhao, "Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography", SIAM Journal on Imaging Sciences, 16(3), pp. 1398-1439, (2023).
  • EA Huerta et al., " FAIR for AI: An interdisciplinary and international community building perspective", Scientific Data, 10(1), pp. 487, (2023).
  • Y. Fan, Y. Khoo, and Z. Zhao, "A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization", SIAM Journal on Matrix Analysis and Applications, 44(2), pp. 781-821, (2023).
  • D. Luo, Z. Chen, K. Hu, Z. Zhao, V. M. Hur, and B. K. Clark, "Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models", Physical Review Research, 5(1), pp. 013216, (2023).
  • L. Wang and Z. Zhao, "Multi-Frequency Joint Community Detection and Phase Synchronization", IEEE Transactions on Signal and Information Processing over Networks, 9, pp. 162-174, (2023).
  • Z. Zhao, J. C. Ye, and Y. Bresler, "Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications", IEEE Signal Processing Magazine, 40(1), pp. 148-163, (2023).
  • P. Karimi, M. D. Butala, Z. Zhao, and F. Kamalabadi, "Efficient model selection in switching linear dynamic systems by graph clustering", IEEE Signal Processing Letters, 29, pp. 2482-2486, (2022).
  • M. Zehni and Z. Zhao, "An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction", IEEE Transactions on Computational Imaging, 8, pp. 705-720, (2022).
  • Y. Chen et al., "A FAIR and AI-ready Higgs boson decay dataset", Scientific Data, 9(1), pp. 31, (2022).
  • Y. Fan, Y. Khoo, and Z. Zhao, "Joint Community Detection and Rotational Synchronization via Semidefinite Programming", SIAM Journal on Mathematics of Data Science, 4(3), pp. 1052-1081, (2022).
  • H. Shen, E. A. Huerta, E. O'Shea, P. Kumar, and Z. Zhao, "Statistically-informed deep learning for gravitational wave parameter estimation", Machine Learning: Science and Technology, 10(1), pp. 015007, (2021).
  • P. Karimi, Z. Zhao, M. D. Butala, and F. Kamalabadi, "Quantification of mismatch error in randomly switching linear state-space models", IEEE Signal Processing Letters, 28, pp. 2008-2012, (2021).
  • Y. Fan, T. Gao, and Z. Zhao "Representation theoretic patterns in multi-frequency class averaging for three-dimensional cryo-electron microscopy", Information and Inference: A Journal of the IMA, 10(3), pp. 723-771, (2021).
  • Z. Zhao, L. T. Liu, and A. Singer, "Steerable ePCA: Rotationally invariant exponential family PCA", IEEE Transactions on Image Processing, 29, pp. 6069--6081, (2020).
  • M. Zehni, L. Donati, E. Soubies, Z. Zhao, and M. Unser, "Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM", IEEE Transactions on Image Processing, 29, pp. 6151--6163, (2020).
  • EA Huerta et al., "Enabling real-time multi-messenger astrophysics discoveries with deep learning", Nature Physics Review , 1, pp. 600--608, (2019).
  • D. Giannakis, A. Ourmazd, J. Slawinska, Z. Zhao, "Spatiotemporal pattern extraction by spectral analysis of vector-valued observables", Journal of Nonlinear Science , pp. 1--61, (2019).
  • D. Comeau, D. Giannakis, Z. Zhao, A. J. Majda, "Predicting regional and pan-Arctic sea ice anomalies with kernel analog forecasting", Climate Dynamics, 52(9-10), pp. 5507--5525 (2019).
  • H. Chen, M. Zehni, Z. Zhao, "A spectral method for stable bispectrum inversion with application to multireference alignment", IEEE Signal Processing Letter, 25(7) pp. 911--915, (2018).
  • T. Bendory, N. Boumal, C. Ma, Z. Zhao, A. Singer, "Bispectrum inversion with application to multireference alignment", IEEE Transactions on Signal Processing, 66(4), pp. 1037-1050 (2017).
  • R. Alexander, Z. Zhao, E. Szekely, D. Giannakis, "Kernel analog forecasting of tropical intraseasonal oscillations", Journal of the Atmospheric Sciences, 74(4) pp. 1321--1342 (2017)
  • D. Comeau, Z. Zhao, D. Giannakis, A. J. Majda, "Data-driven prediction strategies for low-frequency patterns of North Pacific climate variability", Climate Dynamics , 48(5) pp. 1855--1872 (2017)
  • Z. Zhao, D. Giannakis, "Analog forecasting with dynamics-adapted kernels", Nonlinearity, 29 p. 2888 (2016)
  • Z. Zhao, Y. Shkolnisky, A. Singer,"Fast steerable principal component analysis", IEEE Transactions on Computational Imaging, 2 (1), pp. 1--12 (2016)
  • Z. Zhao, A. Singer,"Rotationally invariant image representation for viewing direction classification in cryo-EM", Journal of Structural Biology, 186 (1), pp. 153--166 (2014)
  • Z. Zhao, A. Singer,"Fourier-Bessel rotational invariant eigenimages", The Journal of the Optical Society of America A, 30 (5), pp. 871--877 (2013)
  • A. Singer, Z. Zhao, Y. Shkolnisky, R. Hadani, "Viewing angle classification of cryo-electron microscopy images using eigenvectors", SIAM Journal on Imaging Sciences, 4 (2), pp. 543-572 (2011)
  • Conference Proceedings

  • M. Zehni and Z. Zhao, "CryoSWD: Sliced Wasserstein Distance Minimization for 3D Reconstruction in Cryo-electron Microscopy", ICASSP (2023).
  • X. Zhao, Z. Zhao, and A. Schwing, "Initialization and Alignment for Adversarial Texture Optimization", European Conference on Computer Vision (2022).
  • Y. Fan and Z. Zhao, "Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps", 2021 IEEE International Conference on Image Processing (ICIP), (2021).
  • J. Wang, Z. Chen, D. Luo, Z. Zhao, V. M. Hur, B. K. Clark, "Spacetime Neural Network for High Dimensional Quantum Dynamics", Workshop on "Beyond first-order methods in ML systems" at the 38th International Conference on Machine Learning, (2021). arXiv preprint
  • M. Zehni and Z. Zhao, "MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning", ICASSP, (2021).
  • L. Wang, H. Zhou, B. Li, L. R. Varshney, and Z. Zhao, "Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits", ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3365-3369, (2021). arXiv preprint
  • S. Messaoud, I. Lourentzou, A. Boughoula, M. Zehni, Z. Zhao, C. Zhai, and A. Schwing, "DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization", SIGIR 2021, pp. 1389-1399, (2021). arXiv preprint
  • M. Zehni and Z. Zhao, "UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction", 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 1812-1816, (2021). arXiv preprint
  • L. Wang, B. Li, H. Zhou, G. B. Giannakis, L. R. Varshney, and Z. Zhao, "Adversarial Linear Contextual Bandits with Graph-Structured Side Observations", 35th AAAI Conference on Artificial Intelligence, (2021). arXiv preprint
  • B. Li, L. Wang, G. B. Giannakis, and Z. Zhao, "Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem", 35th AAAI Conference on Artificial Intelligence, (2021). arXiv preprint
  • A. Gupta, E. Huerta, Z. Zhao, and I. Moussa, "Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms", European Medical and Biological Engineering Conference, pp. 341--355, (2020).
  • M. Zehni, S. Huang, I. Dokmanic, and Z. Zhao, "3D unknown view tomography via rotation invariant", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1449-1453, (2020).
  • M. Zehni, M. Do, and Z. Zhao, "Deepsharpen: Deep-Learning Based Sharpening Of 3D Reconstruction Map From Cryo-Electron Microscopy", 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), pp. 1-4, (2020).
  • Y. Fan, T. Gao, and Z. Zhao, "Unsupervised co-learning on G-manifolds across irreducible representations", Advances in Neural Information Processing Systems, (2019). arXiv preprint
  • L. Wang and Z. Zhao, "Two-dimensional tomography from noisy projection tilt series taken at unknown view angles with non-uniform distribution", International Conference on Image Processing (ICIP), (2019).
  • I. Deshpande, Y. T. Hu, R. Sun, A. Pyrros, N. Siddiqui, S. Koyejo, Z. Zhao, D. Forsyth, and A. Schwing, "Max-sliced Wasserstein distance and its use for GANs", International Conference on Computer Vision and Pattern Recognition (CVPR), (2019).
  • Y. Fan and Z. Zhao, "Multi-frequency vector diffusion maps", International Conference on Machine Learning (ICML), (2019).
  • T. Gao and Z. Zhao, "Multi-frequency phase synchronization", International Conference on Machine Learning (ICML), (2019).
  • H. Shen, D. George, E. A. Huerta, and Z. Zhao, "Denoising gravitational waves with enhanced deep recurrent denoising auto-encoders", International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2019).
  • M. Zehni, S. Huang, I. Dokmanic, and Z. Zhao, "Geometric invariants for sparse unknown view tomography", International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2019).
  • R. Liao, Z. Zhao, R. Urtasun, R. Zemel, "LanczosNet: Multi-scale deep graph convolutional networks", International Conference on Learning Representations (ICLR), (2019).
  • M. Zehni, S. Huang, I. Dokmanic, and Z. Zhao, "Distance retrieval from unknown view tomography of 2D point sources", Electronic Imaging, (2019).
  • M. Zehni, L. Donati, E. Soubies, Z. Zhao, M. N. Do, and M. Unser, "Joint density map and continuous angular refinement in cryo-electron microscopy", Electronic Imaging , (2019).
  • M. Zehni, M. Do, Z. Zhao, "Multi-segment reconstruction using invariant features ", International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2018).
  • B. Eng, Z. Zhao, F. Kamalabadi, L. Waldrop, "Transformed spiked covariance completion for time series estimation", International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2018).
  • T. Bhamre, Z. Zhao, A. Singer, "Mahalanobis distance for class averaging of cryo-EM images", International Symposium on Biomedical Imaging (ISBI), (2017).
  • D. Giannakis, J. Slawinska, Z. Zhao, "Spatiotemporal feature extraction with data-driven Koopman operator", in Proceedings of the 1st International Workshop on Feature Extraction: Modern Questions and Challenges at NIPS, (2015).