Jian-Feng Cai

发表

Linearized Bregman iterations for compressed sensing

Jian-Feng Cai, Stanley Osher, Zuowei Shen, 2009, Math. Comput..

Precise phase transition of total variation minimization

Weiyu Xu, Jian-Feng Cai, Lifeng Lai, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Restoration of Chopped and Nodded Images by Framelets

Raymond H. Chan, Lixin Shen, Jian-Feng Cai, 2008, SIAM J. Sci. Comput..

High-quality curvelet-based motion deblurring from an image pair

Jian-Feng Cai, Zuowei Shen, Hui Ji, 2009, CVPR.

A Singular Value Thresholding Algorithm for Matrix Completion

Emmanuel J. Candès, Jian-Feng Cai, Zuowei Shen, 2008, SIAM J. Optim..

Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks

Ao Tang, Weiyu Xu, Meng Wang, 2013, IEEE Transactions on Signal Processing.

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach

Mathews Jacob, Weiyu Xu, Soura Dasgupta, 2017, ArXiv.

Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration

Jian-Feng Cai, Hui Ji, Chenglong Bao, 2013, 2013 IEEE International Conference on Computer Vision.

Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals

Weiyu Xu, Jian-Feng Cai, Kumar Vijay Mishra, 2015, IEEE Signal Processing Letters.

Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2015, IEEE Transactions on Medical Imaging.

Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2015, IEEE Transactions on Biomedical Engineering.

Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis pdf

Hui Zhang, Jubo Zhu, Jian-Feng Cai, 2011, ArXiv.

Convergence analysis of tight framelet approach for missing data recovery

Raymond H. Chan, Lixin Shen, Jian-Feng Cai, 2009, Adv. Comput. Math..

Fast Cadzow’s Algorithm and a Gradient Variant pdf

Haifeng Wang, Jian-Feng Cai, Tianming Wang, 2019, Journal of Scientific Computing.

A Simple and Fast Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging pdf

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2015, ArXiv.

Image Inpainting Based on Multi-frequency Probabilistic Inference Model

Chen Wang, Qingming Huang, Jian-Feng Cai, 2020, ACM Multimedia.

Incoherent dictionary learning for sparse representation based image denoising

Jin Wang, Baocai Yin, Jian-Feng Cai, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Hankel Matrix Nuclear Norm Regularized Tensor Completion for $N$-dimensional Exponential Signals

Di Guo, Jian-Feng Cai, Xiaobo Qu, 2016, IEEE Transactions on Signal Processing.

Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval

Yang Wang, Jian-Feng Cai, Haixia Liu, 2017, Journal of Scientific Computing.

DATA-DRIVEN TIGHT FRAME FOR CRYO-EM IMAGE DENOISING AND CONFORMATIONAL CLASSIFICATION

Yang Wang, Yuan Yao, Jian-Feng Cai, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Exploiting the structure effectively and efficiently in low rank matrix recovery pdf

Jian-Feng Cai, Ke Wei, Jian-Feng Cai, 2018, ArXiv.

Optimal low rank tensor recovery pdf

Yang Wang, Jian-Feng Cai, Yin Xian, 2019, ArXiv.

Blind motion deblurring from a single image using sparse approximation

Jian-Feng Cai, Zuowei Shen, Hui Ji, 2009, CVPR.

Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study

Steve B. Jiang, Xun Jia, Hao Gao, 2012, IEEE Transactions on Medical Imaging.

Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion pdf

Jian-Feng Cai, Tianming Wang, Ke Wei, 2016, Applied and Computational Harmonic Analysis.

Simultaneously inpainting in image and transformed domains

Raymond H. Chan, Lixin Shen, Jian-Feng Cai, 2009, Numerische Mathematik.

Large scale 2D spectral compressed sensing in continuous domain

Weiyu Xu, Yang Yang, Jian-Feng Cai, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Accelerated Alternating Projections for Robust Principal Component Analysis pdf

Jian-Feng Cai, Ke Wei, HanQin Cai, 2017, J. Mach. Learn. Res..

Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal

Raymond H. Chan, Jian-Feng Cai, Carmine Di Fiore, 2007, Journal of Mathematical Imaging and Vision.

Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations

Jian-Feng Cai, Zhenzhen Li, Ke Wei, 2018, IEEE Transactions on Information Theory.

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction

Weiyu Xu, Jian-Feng Cai, Xiaobo Qu, 2015, Applied and computational harmonic analysis.

Framelet-Based Blind Motion Deblurring From a Single Image

Jian-Feng Cai, Zuowei Shen, Hui Ji, 2012, IEEE Transactions on Image Processing.

Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals

Yonina C. Eldar, Weiyu Xu, Jian-Feng Cai, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A fast algorithm for reconstruction of spectrally sparse signals in super-resolution

Weiyu Xu, Jian-Feng Cai, Suhui Liu, 2015, SPIE Optical Engineering + Applications.

Guarantees of total variation minimization for signal recovery

Weiyu Xu, Jian-Feng Cai, Jian-Feng Cai, 2013, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Guarantees of Riemannian Optimization for Low Rank Matrix Recovery

Tony F. Chan, Jian-Feng Cai, Shingyu Leung, 2015, SIAM J. Matrix Anal. Appl..

Convergence of the linearized Bregman iteration for ℓ1-norm minimization

Jian-Feng Cai, Stanley Osher, Zuowei Shen, 2009, Math. Comput..

Split Bregman Method for Sparse Inverse Covariance Estimation with Matrix Iteration Acceleration pdf

Xiaohui Xie, Jian-Feng Cai, Gui-Bo Ye, 2010, ArXiv.

Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery—Application in Fast NMR Spectroscopy

Zhong Chen, Di Guo, Gongguo Tang, 2018, IEEE Transactions on Signal Processing.

Blind motion deblurring using multiple images

Jian-Feng Cai, Zuowei Shen, Hui Ji, 2009, J. Comput. Phys..

Multigrid algorithm from cyclic reduction for Markovian queueing networks

Jian-Feng Cai, Hai-Wei Sun, Shu-Ling Yang, 2011, Appl. Math. Comput..

Linearized Bregman Iterations for Frame-Based Image Deblurring

Jian-Feng Cai, Stanley Osher, Zuowei Shen, 2009, SIAM J. Imaging Sci..

Fast Single Image Reflection Suppression via Convex Optimization

Yang Yang, Jian-Feng Cai, Yin Zheng, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Blind motion deblurring from a single image using sparse approximation

Jian-Feng Cai, Zuowei Shen, Hui Ji, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections pdf

Ke Wang, Dong Li, Jian-Feng Cai, 2018, CSIAM Transactions on Applied Mathematics.

Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies

Weiyu Xu, Anton Kruger, Jian-Feng Cai, 2013, 2014 Information Theory and Applications Workshop (ITA).

Split Bregman Methods and Frame Based Image Restoration

Jian-Feng Cai, Stanley Osher, Zuowei Shen, 2009, Multiscale Model. Simul..

Accelerated magnetic resonance spectroscopy with Vandermonde factorization

Jian-Feng Cai, Xiaobo Qu, Zhong Chen, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Image denoising and deblurring under impulse noise, and framelet-based methods for image reconstruction

Jian-Feng Cai, Jian-Feng Cai, 2007 .

Fast Two-Phase Image Deblurring Under Impulse Noise

Raymond H. Chan, Mila Nikolova, Jian-Feng Cai, 2009, Journal of Mathematical Imaging and Vision.

Spectral Compressed Sensing via Projected Gradient Descent

Jian-Feng Cai, Tianming Wang, Ke Wei, 2017, SIAM J. Optim..

High-quality curvelet-based motion deblurring from an image pair

Jian-Feng Cai, Zuowei Shen, Hui Ji, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Tight Frame Based Method for High-Resolution Image Reconstruction

Raymond H. Chan, Lixin Shen, Jian-Feng Cai, 2010 .

Balanced Sparse Model for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Zhong Chen, Di Guo, Jing Ye, 2015, PloS one.

Block Iterative Reweighted Algorithms for Recovery of Spectrally Sparse Signals

Jian-Feng Cai, Weiyu Xu, Kumar Vijay Mishra, 2016 .

Appreciation to IJCV Reviewers

Reinhard Koch, Iasonas Kokkinos, Jan-Michael Frahm, 2012, International Journal of Computer Vision.

Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval

Jian-Feng Cai, Hongkai Zhao, Ji Li, 2018, Journal of Scientific Computing.

Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization

Jian-Feng Cai, Dong Xia, Jingyang Li, 2021 .

Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery

Jian-Feng Cai, HanQin Cai, Guojian Yin, 2021, IEEE Transactions on Signal Processing.

Data recovery on a manifold from linear samples: theory and computation

Jian-Feng Cai, Yang Wang, Zhiqiang Xu, 2018 .

Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion (Conference Presentation)

Dimitri Van De Ville, Jian-Feng Cai, Yue M. Lu, 2017 .

Sparse Inverse Covariance Estimation via the Split Bregman Method

Xiaohui Xie, Jian-Feng Cai, Gui-Bo Ye, 2010 .

Correction: Low-Rank Regularization for Learning Gene Expression Programs

Qing Nie, Jian-Feng Cai, Xiaohui Xie, 2014, PLoS ONE.