Jian-Feng Cai
Orcid: 0000-0003-2571-570XAffiliations:
- Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- University of Iowa, Department of Mathematics, IA, USA (2011 - 2015)
- University of California, Los Angeles, CA, USA (2009 - 2011)
- National University of Singapore, Singapore (2007 - 2009)
- Chinese University of Hong Kong, Department of Mathematics, Hong Kong (PhD 2007)
According to our database1,
Jian-Feng Cai
authored at least 87 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on scopus.com
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on publons.com
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on orcid.org
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on id.loc.gov
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on math.ust.hk
On csauthors.net:
Bibliography
2024
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model.
CoRR, 2024
2023
SIAM J. Sci. Comput., June, 2023
CoRR, 2023
Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret.
CoRR, 2023
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression.
CoRR, 2023
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Trans. Signal Process., 2022
J. Mach. Learn. Res., 2022
Provable Sample-Efficient Sparse Phase Retrieval Initialized by Truncated Power Method.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Computationally Efficient and Statistically Optimal Robust Low-rank Matrix Estimation.
CoRR, 2022
2021
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery.
IEEE Trans. Signal Process., 2021
IEEE Trans. Instrum. Meas., 2021
J. Sci. Comput., 2021
Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations.
CoRR, 2021
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization.
CoRR, 2021
2020
Multi-Direction Dictionary Learning Based Depth Map Super-Resolution With Autoregressive Modeling.
IEEE Trans. Multim., 2020
Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations.
IEEE Trans. Inf. Theory, 2020
Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization.
SIAM J. Imaging Sci., 2020
Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond.
CoRR, 2020
CoRR, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
2019
J. Sci. Comput., 2019
J. Mach. Learn. Res., 2019
Off-the-Grid Compressed Sensing MRI Reconstruction via Data Driven Tight Frame Regularization.
CoRR, 2019
Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction.
CoRR, 2019
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy.
IEEE Trans. Signal Process., 2018
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections.
CoRR, 2018
Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations.
CoRR, 2018
CoRR, 2018
Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals.
IEEE Trans. Signal Process., 2017
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2016
Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.
IEEE Trans. Biomed. Eng., 2016
SIAM J. Matrix Anal. Appl., 2016
Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion.
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals.
IEEE Signal Process. Lett., 2015
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction.
CoRR, 2015
A Simple and Fast Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging.
CoRR, 2015
Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction.
CoRR, 2015
Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing.
CoRR, 2015
2014
Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study.
IEEE Trans. Medical Imaging, 2014
Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks.
IEEE Trans. Signal Process., 2013
Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional ($d\geq 2$) Off-the-Grid Frequencies.
CoRR, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
2012
IEEE Trans. Image Process., 2012
2011
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis
CoRR, 2011
Appl. Math. Comput., 2011
2010
Split Bregman Method for Sparse Inverse Covariance Estimation with Matrix Iteration Acceleration
CoRR, 2010
2009
SIAM J. Imaging Sci., 2009
Numerische Mathematik, 2009
Math. Comput., 2009
Multiscale Model. Simul., 2009
Adv. Comput. Math., 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008
2007
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal.
J. Math. Imaging Vis., 2007
2006
Appl. Math. Comput., 2006
2004
Math. Comput. Model., 2004