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ORCIDJian-Feng Cai 0001
Jianfeng Cai 0001
Person information
- affiliation: Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- affiliation (2011 - 2015): University of Iowa, Department of Mathematics, IA, USA
- affiliation (2009 - 2011): University of California, Los Angeles, CA, USA
- affiliation (2007 - 2009): National University of Singapore, Singapore
- affiliation (PhD 2007): Chinese University of Hong Kong, Department of Mathematics, Hong Kong
Other persons with the same name
- Jianfeng Cai 0002
![[0000-0002-4836-3244]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4836-3244")
— Northwestern Polytechnical University, Department of Management Sciences, Xi'an, China - Jianfeng Cai 0003 — Texas A&M University, College Station, TX, USA
- Jianfeng Cai 0004 — Chongqing University of Science and Technology, Chongqing, China
- Jianfeng Cai 0005 — Wuhan University, School of Geodesy and Geomatics, China
- Jianfeng Cai 0006 — Xidian University, School of Artificial Intelligence, Xi'an, China
- Jianfeng Cai 0007 — Sichuan Province School State-owned Assets and Educational Equipment Cente, China
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Journal Articles
- 2024
[j38]Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, Guojian Yin:
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion. SIAM J. Imaging Sci. 17(3): 1879-1908 (2024)- 2023
- [j37]HanQin Cai, Jian-Feng Cai, Juntao You:
Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. SIAM J. Sci. Comput. 45(3): 1172-1198 (2023) - 2022
- [j36]Jian-Feng Cai, Jingyang Li, Dong Xia:
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization. J. Mach. Learn. Res. 23: 123:1-123:77 (2022) - [j35]Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. IEEE Trans. Signal Process. 70: 4951-4966 (2022) - 2021
- [j34]Ji Li, Jian-Feng Cai, Hongkai Zhao:
Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval. J. Sci. Comput. 87(2): 43 (2021) - [j33]Haifeng Wang, Jian-Feng Cai, Tianming Wang, Ke Wei:
Fast Cadzow's Algorithm and a Gradient Variant. J. Sci. Comput. 88(2): 41 (2021) - [j32]Tianyu Qiu, Wenjing Liao, Yihui Huang, Jinyu Wu, Di Guo, Dongbao Liu, Xin Wang, Jian-Feng Cai, Bingwen Hu, Xiaobo Qu:
An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j31]HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin:
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery. IEEE Trans. Signal Process. 69: 809-821 (2021) - 2020
- [j30]Jian-Feng Cai, Jae Kyu Choi, Ke Wei:
Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization. SIAM J. Imaging Sci. 13(3): 1272-1301 (2020) - [j29]Zhenzhen Li, Jian-Feng Cai, Ke Wei:
Toward the Optimal Construction of a Loss Function Without Spurious Local Minima for Solving Quadratic Equations. IEEE Trans. Inf. Theory 66(5): 3242-3260 (2020) - [j28]Jin Wang, Wei Xu, Jian-Feng Cai, Qing Zhu, Yunhui Shi, Baocai Yin:
Multi-Direction Dictionary Learning Based Depth Map Super-Resolution With Autoregressive Modeling. IEEE Trans. Multim. 22(6): 1470-1484 (2020) - 2019
- [j27]HanQin Cai, Jian-Feng Cai, Ke Wei:
Accelerated Alternating Projections for Robust Principal Component Analysis. J. Mach. Learn. Res. 20: 20:1-20:33 (2019) - [j26]Jian-Feng Cai, Haixia Liu, Yang Wang:
Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval. J. Sci. Comput. 79(1): 128-147 (2019) - 2018
- [j25]Jian-Feng Cai, Tianming Wang, Ke Wei:
Spectral Compressed Sensing via Projected Gradient Descent. SIAM J. Optim. 28(3): 2625-2653 (2018) - [j24]Jiaxi Ying, Jian-Feng Cai, Di Guo, Gongguo Tang, Zhong Chen, Xiaobo Qu:
Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy. IEEE Trans. Signal Process. 66(21): 5520-5533 (2018) - 2017
- [j23]Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu:
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. IEEE Trans. Signal Process. 65(14): 3702-3717 (2017) - 2016
- [j22]Ke Wei, Jian-Feng Cai, Tony F. Chan, Shingyu Leung:
Guarantees of Riemannian Optimization for Low Rank Matrix Recovery. SIAM J. Matrix Anal. Appl. 37(3): 1198-1222 (2016) - [j21]Zhifang Zhan, Jian-Feng Cai, Di Guo, Yunsong Liu, Zhong Chen, Xiaobo Qu:
Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction. IEEE Trans. Biomed. Eng. 63(9): 1850-1861 (2016) - [j20]Yunsong Liu, Zhifang Zhan, Jian-Feng Cai, Di Guo, Zhong Chen, Xiaobo Qu:
Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 35(9): 2130-2140 (2016) - 2015
- [j19]Myung Cho, Kumar Vijay Mishra, Jian-Feng Cai, Weiyu Xu:
Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals. IEEE Signal Process. Lett. 22(12): 2319-2323 (2015) - 2014
- [j18]Jian-Feng Cai, Xun Jia, Hao Gao, Steve B. Jiang, Zuowei Shen, Hongkai Zhao:
Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study. IEEE Trans. Medical Imaging 33(8): 1581-1591 (2014) - 2013
- [j17]Weiyu Xu, Meng Wang, Jian-Feng Cai, Ao Tang:
Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks. IEEE Trans. Signal Process. 61(24): 6175-6187 (2013) - 2012
- [j16]Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen:
Framelet-Based Blind Motion Deblurring From a Single Image. IEEE Trans. Image Process. 21(2): 562-572 (2012) - 2011
- [j15]Shu-Ling Yang, Jian-Feng Cai, Hai-Wei Sun:
Multigrid algorithm from cyclic reduction for Markovian queueing networks. Appl. Math. Comput. 217(16): 6990-7000 (2011) - 2010
- [j14]Jian-Feng Cai, Raymond H. Chan, Mila Nikolova:
Fast Two-Phase Image Deblurring Under Impulse Noise. J. Math. Imaging Vis. 36(1): 46-53 (2010) - [j13]Jian-Feng Cai, Emmanuel J. Candès, Zuowei Shen:
A Singular Value Thresholding Algorithm for Matrix Completion. SIAM J. Optim. 20(4): 1956-1982 (2010) - 2009
- [j12]Jian-Feng Cai, Raymond H. Chan, Lixin Shen, Zuowei Shen:
Convergence analysis of tight framelet approach for missing data recovery. Adv. Comput. Math. 31(1-3): 87-113 (2009) - [j11]Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen:
Blind motion deblurring using multiple images. J. Comput. Phys. 228(14): 5057-5071 (2009) - [j10]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Split Bregman Methods and Frame Based Image Restoration. Multiscale Model. Simul. 8(2): 337-369 (2009) - [j9]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Linearized Bregman iterations for compressed sensing. Math. Comput. 78(267): 1515-1536 (2009) - [j8]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Convergence of the linearized Bregman iteration for ℓ1-norm minimization. Math. Comput. 78(268): 2127-2136 (2009) - [j7]Jian-Feng Cai, Raymond H. Chan, Lixin Shen, Zuowei Shen:
Simultaneously inpainting in image and transformed domains. Numerische Mathematik 112(4): 509-533 (2009) - [j6]Jian-Feng Cai, Stanley J. Osher, Zuowei Shen:
Linearized Bregman Iterations for Frame-Based Image Deblurring. SIAM J. Imaging Sci. 2(1): 226-252 (2009) - 2008
- [j5]Jian-Feng Cai, Raymond H. Chan, Lixin Shen, Zuowei Shen:
Restoration of Chopped and Nodded Images by Framelets. SIAM J. Sci. Comput. 30(3): 1205-1227 (2008) - 2007
- [j4]Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore:
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal. J. Math. Imaging Vis. 29(1): 79-91 (2007) - 2006
- [j3]Xian Zhang, Jianfeng Cai, Yimin Wei:
Interval iterative methods for computing Moore-Penrose inverse. Appl. Math. Comput. 183(1): 522-532 (2006) - 2004
- [j2]Jianfeng Cai, Yimin Wei:
Displacement structure of weighted pseudoinverses. Appl. Math. Comput. 153(2): 317-335 (2004) - [j1]Yimin Wei, Jianfeng Cai, Michael K. Ng:
Computing Moore-Penrose inverses of Toeplitz matrices by Newton's iteration. Math. Comput. Model. 40(1-2): 181-191 (2004)
Conference and Workshop Papers
- 2024
- [c20]Junyi Fan, Yuxuan Han, Jialin Zeng, Jian-Feng Cai, Yang Wang, Yang Xiang, Jiheng Zhang:
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model. AISTATS 2024: 2035-2043 - [c19]Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying:
A Fast and Provable Algorithm for Sparse Phase Retrieval. ICLR 2024 - [c18]Junyi Fan, Yuxuan Han, Zijian Liu, Jian-Feng Cai, Yang Wang, Zhengyuan Zhou:
On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity. ICML 2024 - 2023
- [c17]Xunmeng Wu, Zai Yang, Jian-Feng Cai, Zongben Xu:
Spectral Super-Resolution on the Unit Circle Via Gradient Descent. ICASSP 2023: 1-5 - [c16]Jianfeng Cai, José Vinícius de Miranda Cardoso, Daniel P. Palomar, Jiaxi Ying:
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity. NeurIPS 2023 - 2020
- [c15]Jin Wang, Chen Wang, Qingming Huang, Yunhui Shi, Jian-Feng Cai, Qing Zhu, Baocai Yin:
Image Inpainting Based on Multi-frequency Probabilistic Inference Model. ACM Multimedia 2020: 1-9 - 2019
- [c14]Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu:
Fast Single Image Reflection Suppression via Convex Optimization. CVPR 2019: 8141-8149 - [c13]Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang:
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. ISICDM 2019: 288-292 - 2018
- [c12]Yin Xian, Hanlin Gu, Wei Wang, Xuhui Huang, Yuan Yao, Yang Wang, Jian-Feng Cai:
Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification. GlobalSIP 2018: 544-548 - [c11]Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho:
Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. ISIT 2018: 76-80 - 2017
- [c10]Xiaobo Qu, Jiaxi Ying, Jian-Feng Cai, Zhong Chen:
Accelerated magnetic resonance spectroscopy with Vandermonde factorization. EMBC 2017: 3537-3540 - [c9]Jian-Feng Cai, Weiyu Xu, Yang Yang:
Large scale 2D spectral compressed sensing in continuous domain. ICASSP 2017: 5905-5909 - 2016
- [c8]Bingwen Zhang, Weiyu Xu, Jian-Feng Cai, Lifeng Lai:
Precise phase transition of total variation minimization. ICASSP 2016: 4518-4522 - [c7]Myung Cho, Jian-Feng Cai, Suhui Liu, Yonina C. Eldar, Weiyu Xu:
Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals. ICASSP 2016: 4638-4642 - 2014
- [c6]Jin Wang, Jian-Feng Cai, Yunhui Shi, Baocai Yin:
Incoherent dictionary learning for sparse representation based image denoising. ICIP 2014: 4582-4586 - [c5]Weiyu Xu, Jian-Feng Cai, Kumar Vijay Mishra, Myung Cho, Anton Kruger:
Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies. ITA 2014: 1-4 - 2013
- [c4]Jian-Feng Cai, Weiyu Xu:
Guarantees of total variation minimization for signal recovery. Allerton 2013: 1266-1271 - [c3]Chenglong Bao, Jian-Feng Cai, Hui Ji:
Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration. ICCV 2013: 3384-3391 - 2009
- [c2]Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen:
Blind motion deblurring from a single image using sparse approximation. CVPR 2009: 104-111 - [c1]Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen:
High-quality curvelet-based motion deblurring from an image pair. CVPR 2009: 1566-1573
Informal and Other Publications
- 2024
- [i44]Junyi Fan, Yuxuan Han, Jialin Zeng, Jian-Feng Cai, Yang Wang, Yang Xiang, Jiheng Zhang:
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model. CoRR abs/2403.11544 (2024) - 2023
- [i43]Jian-Feng Cai, Zhiqiang Xu, Zili Xu:
Asymptotically Sharp Upper Bound for the Column Subset Selection Problem. CoRR abs/2303.07984 (2023) - [i42]Yinan Shen, Jingyang Li, Jian-Feng Cai, Dong Xia:
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression. CoRR abs/2305.06199 (2023) - [i41]Jian-Feng Cai, Jingyang Li, Dong Xia:
Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret. CoRR abs/2306.03372 (2023) - [i40]Jian-Feng Cai, Jae Kyu Choi, Jingyang Li:
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion. CoRR abs/2309.01328 (2023) - [i39]Jian-Feng Cai, Yu Long, Ruixue Wen, Jiaxi Ying:
A Fast and Provable Algorithm for Sparse Phase Retrieval. CoRR abs/2309.02046 (2023) - 2022
- [i38]Yinan Shen, Jingyang Li, Jian-Feng Cai, Dong Xia:
Computationally Efficient and Statistically Optimal Robust Low-rank Matrix Estimation. CoRR abs/2203.00953 (2022) - [i37]HanQin Cai, Jian-Feng Cai, Juntao You:
Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion. CoRR abs/2204.03316 (2022) - [i36]Jian-Feng Cai, Meng Huang, Dong Li, Yang Wang:
Nearly optimal bounds for the global geometric landscape of phase retrieval. CoRR abs/2204.09416 (2022) - [i35]Jian-Feng Cai, Jae Kyu Choi, Ke Wei:
Approximation Theory of Total Variation Minimization for Data Completion. CoRR abs/2207.07473 (2022) - [i34]Jian-Feng Cai, Jae Kyu Choi, Chenchuan Zhou:
Two Stage Continuous Domain Regularization for Piecewise Constant Image Restoration. CoRR abs/2208.04678 (2022) - [i33]Jian-Feng Cai, Jingyang Li, Juntao You:
Provable Sample-Efficient Sparse Phase Retrieval Initialized by Truncated Power Method. CoRR abs/2210.14628 (2022) - 2021
- [i32]Jianfeng Cai, Meng Huang, Dong Li, Yang Wang:
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization. CoRR abs/2101.03540 (2021) - [i31]Jian-Feng Cai, Jingyang Li, Dong Xia:
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization. CoRR abs/2108.12163 (2021) - [i30]Jiaxi Ying, José Vinícius de Miranda Cardoso, Jian-Feng Cai, Daniel P. Palomar:
Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations. CoRR abs/2112.01939 (2021) - [i29]Jian-Feng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization. CoRR abs/2112.07919 (2021) - [i28]Jian-Feng Cai, Meng Huang, Dong Li, Yang Wang:
The global landscape of phase retrieval I: perturbed amplitude models. CoRR abs/2112.07993 (2021) - [i27]Jian-Feng Cai, Meng Huang, Dong Li, Yang Wang:
The global landscape of phase retrieval II: quotient intensity models. CoRR abs/2112.07997 (2021) - 2020
- [i26]Jian-Feng Cai, Jingzhi Li, Xiliang Lu, Juntao You:
Sparse Signal Recovery From Phaseless Measurements via Hard Thresholding Pursuit. CoRR abs/2005.08777 (2020) - [i25]Jian-Feng Cai, Lizhang Miao, Yang Wang, Yin Xian:
Provable Near-Optimal Low-Multilinear-Rank Tensor Recovery. CoRR abs/2007.08904 (2020) - [i24]Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, Ke Wei:
Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond. CoRR abs/2012.06827 (2020) - 2019
- [i23]Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu:
Fast Single Image Reflection Suppression via Convex Optimization. CoRR abs/1903.03889 (2019) - [i22]Haifeng Wang, Jian-Feng Cai, Tianming Wang, Ke Wei:
Fast Cadzow's Algorithm and a Gradient Variant. CoRR abs/1906.03572 (2019) - [i21]Jianfeng Cai, Yuling Jiao, Xiliang Lu, Juntao You:
A stochastic alternating minimizing method for sparse phase retrieval. CoRR abs/1906.05967 (2019) - [i20]HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin:
Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction. CoRR abs/1910.05859 (2019) - [i19]Jian-Feng Cai, Jae Kyu Choi, Ke Wei:
Off-the-Grid Compressed Sensing MRI Reconstruction via Data Driven Tight Frame Regularization. CoRR abs/1911.03150 (2019) - [i18]Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang:
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. CoRR abs/1912.07811 (2019) - 2018
- [i17]Jian-Feng Cai, Ke Wei:
Exploiting the structure effectively and efficiently in low rank matrix recovery. CoRR abs/1809.03652 (2018) - [i16]Zhenzhen Li, Jian-Feng Cai, Ke Wei:
Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations. CoRR abs/1809.10520 (2018) - [i15]Jian-Feng Cai, Dong Li, Jiaze Sun, Ke Wang:
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections. CoRR abs/1811.09054 (2018) - 2017
- [i14]Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho:
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. CoRR abs/1711.01396 (2017) - [i13]HanQin Cai, Jian-Feng Cai, Ke Wei:
Accelerated Alternating Projections for Robust Principal Component Analysis. CoRR abs/1711.05519 (2017) - 2016
- [i12]Jiaxi Ying, Hengfa Lu, Qingtao Wei, Jian-Feng Cai, Di Guo, Jihui Wu, Zhong Chen, Xiaobo Qu:
Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals. CoRR abs/1604.02100 (2016) - [i11]Jian-Feng Cai, Tianming Wang, Ke Wei:
Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion. CoRR abs/1606.01567 (2016) - 2015
- [i10]Jian-Feng Cai, Xiaobo Qu, Weiyu Xu, Gui-Bo Ye:
Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction. CoRR abs/1503.02893 (2015) - [i9]Zhifang Zhan, Jian-Feng Cai, Di Guo, Yunsong Liu, Zhong Chen, Xiaobo Qu:
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction. CoRR abs/1503.02945 (2015) - [i8]Yunsong Liu, Zhifang Zhan, Jian-Feng Cai, Di Guo, Zhong Chen, Xiaobo Qu:
A Simple and Fast Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging. CoRR abs/1504.07786 (2015) - [i7]Jian-Feng Cai, Suhui Liu, Weiyu Xu:
Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing. CoRR abs/1507.03707 (2015) - [i6]Myung Cho, Kumar Vijay Mishra, Jian-Feng Cai, Weiyu Xu:
Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals. CoRR abs/1507.08701 (2015) - [i5]Bingwen Zhang, Weiyu Xu, Jian-Feng Cai, Lifeng Lai:
Precise Phase Transition of Total Variation Minimization. CoRR abs/1509.04376 (2015) - 2013
- [i4]Jian-Feng Cai, Weiyu Xu:
Guarantees of Total Variation Minimization for Signal Recovery. CoRR abs/1301.6791 (2013) - [i3]Weiyu Xu, Jian-Feng Cai, Kumar Vijay Mishra, Myung Cho, Anton Kruger:
Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional ($d\geq 2$) Off-the-Grid Frequencies. CoRR abs/1312.0485 (2013) - 2011
- [i2]Hui Zhang, Jian-Feng Cai, Lizhi Cheng, Jubo Zhu:
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis. CoRR abs/1112.3946 (2011) - 2010
- [i1]Gui-Bo Ye, Jian-Feng Cai, Xiaohui Xie:
Split Bregman Method for Sparse Inverse Covariance Estimation with Matrix Iteration Acceleration. CoRR abs/1012.0975 (2010)
Coauthor Index
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