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Zhenyue Zhang
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2020 – today
- 2025
- [j35]Min Xiang, Zhenyue Zhang:
Non-signal components minimization for sparse signal recovery. Signal Process. 226: 109617 (2025) - 2024
- [j34]Min Xiang
, Zhenyue Zhang
Fast Recursive Greedy Methods for Sparse Signal Recovery. IEEE Trans. Signal Process. 72: 4381-4394 (2024) - 2022
- [j33]Zhenyue Zhang, Zheng Zhai
Graph Refinement via Simultaneously Low-Rank and Sparse Approximation. SIAM J. Sci. Comput. 44(3): 1525- (2022) - [i6]Bingjie Li, Tianhao Ni, Zhenyue Zhang:
A Modified Nonlinear Conjugate Gradient Algorithm for Functions with Non-Lipschitz Gradient. CoRR abs/2204.07930 (2022) - [i5]Zhong-Heng Tan, Zhenyue Zhang:
Stable Discrete Minimization of Conformal Energy for Disk Conformal Parameterization. CoRR abs/2210.09125 (2022) - [i4]Zhenyue Zhang, Zhong-Heng Tan:
Convergence Analysis of Discrete Conformal Transformation. CoRR abs/2210.10990 (2022) - 2021
- [j32]Bingjie Li
A Two-Phase Algorithm for Robust Symmetric Non-Negative Matrix Factorization. Symmetry 13(9): 1757 (2021)
2010 – 2019
- 2019
- [j31]Zhenyue Zhang, Yan Liang, Wenjuan Shi
${\ell}_{1/2}$ -Regularization-Based Super-Resolution Sparse Channel Estimation for MmWave Massive MIMO Systems. IEEE Access 7: 75837-75844 (2019) - [j30]Zhenyue Zhang, Yuqing Xia:
Minimal Sample Subspace Learning: Theory and Algorithms. J. Mach. Learn. Res. 20: 143:1-143:57 (2019) - [j29]Limin Li
Semi-Supervised Domain Adaptation by Covariance Matching. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2724-2739 (2019) - [j28]Yuqing Xia
Scalable Feedback of Spectral Projection for Subspace Learning. IEEE Signal Process. Lett. 26(2): 257-261 (2019) - [i3]Zhenyue Zhang, Yuqing Xia:
Minimal Sample Subspace Learning: Theory and Algorithms. CoRR abs/1907.06032 (2019) - 2018
- [j27]Yuqing Xia, Zhenyue Zhang:
Rank-sparsity balanced representation for subspace clustering. Mach. Vis. Appl. 29(6): 979-990 (2018) - [c12]Qiwei Peng, Tongwei Yu, Wang Luo, Tong Li, Gaofeng Zhao, Qiang Fan, Xiaolong Hao, Peng Wang, Zhiguo Li, Qilei Zhong, Min Feng, Lei Yu, Tingliang Yan, Shaowei Liu, Yuan Xia, Bin Han, Qibin Dai, Yunyi Li, Zhenyue Zhang, Guan Gui:
An Adaptive Iteratively Weighted Half Thresholding Algorithm for Image Compressive Sensing Reconstruction. CSPS (2) 2018: 166-174 - [c11]Zhenyue Zhang, Guan Gui, Yan Liang:
ℓ1/2-Regularization Based Sparse Channel Estimation for MmWave Massive MIMO Systems. DSP 2018: 1-4 - 2017
- [j26]Zhenyue Zhang, Zheng Zhai
Uniform Projection for Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1675-1689 (2017) - [i2]Zhigang Yao, Zhenyue Zhang:
Principal Boundary on Riemannian Manifolds. CoRR abs/1711.06705 (2017) - 2016
- [j25]Zhenyue Zhang, Jiayun Mao
Jointly sparse neighborhood graph for multi-view manifold clustering. Neurocomputing 216: 28-38 (2016) - [j24]Jiayun Mao
A local convex method for rank-sparsity factorization. Pattern Recognit. Lett. 71: 31-37 (2016) - 2013
- [j23]Zhenyue Zhang, Keke Zhao:
Low-Rank Matrix Approximation with Manifold Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1717-1729 (2013) - 2012
- [j22]Zhenyue Zhang, Keke Zhao, Hongyuan Zha:
Inducible regularization for low-rank matrix factorizations for collaborative filtering. Neurocomputing 97: 52-62 (2012) - [j21]Zhenyue Zhang, Jing Wang, Hongyuan Zha:
Adaptive Manifold Learning. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 253-265 (2012) - 2011
- [j20]Rui He, Zhenyue Zhang:
Locally affine patch mapping and global refinement for image super-resolution. Pattern Recognit. 44(9): 2210-2219 (2011) - 2010
- [j19]Keke Zhao, Zhenyue Zhang:
Successively alternate least square for low-rank matrix factorization with bounded missing data. Comput. Vis. Image Underst. 114(10): 1084-1096 (2010) - [j18]Jing Wang, Zhenyue Zhang:
Nonlinear embedding preserving multiple local-linearities. Pattern Recognit. 43(4): 1257-1268 (2010) - [j17]Junfeng Lu, Zhenyue Zhang:
A Modified Nonlinear Inexact Uzawa Algorithm with a Variable Relaxation Parameter for the Stabilized Saddle Point Problem. SIAM J. Matrix Anal. Appl. 31(4): 1934-1957 (2010)
2000 – 2009
- 2009
- [j16]Lingxiao Zhao, Zhenyue Zhang:
Supervised locally linear embedding with probability-based distance for classification. Comput. Math. Appl. 57(6): 919-926 (2009) - [j15]Hongyuan Zha, Zhenyue Zhang:
Spectral Properties of the Alignment Matrices in Manifold Learning. SIAM Rev. 51(3): 545-566 (2009) - 2008
- [c10]Zhenyue Zhang, Hongyuan Zha, Min Zhang:
Spectral methods for semi-supervised manifold learning. CVPR 2008 - 2007
- [j14]Yuyang Qiu, Zhenyue Zhang, Junfeng Lu:
Matrix iterative solutions to the least squares problem of BXAT=F with some linear constraints. Appl. Math. Comput. 185(1): 284-300 (2007) - [j13]Yuyang Qiu, Zhenyue Zhang, Junfeng Lu:
The matrix equations AX=B, XC=F with PX=sXP constraint. Appl. Math. Comput. 189(2): 1428-1434 (2007) - [j12]Hongyuan Zha, Zhenyue Zhang:
Continuum Isomap for manifold learnings. Comput. Stat. Data Anal. 52(1): 184-200 (2007) - [j11]Zhenyue Zhang, Min Fang, Jing Wang:
Stability and Fast Algorithms of Incomplete LU Factorization with Zero-Fill for Nine-Diagonal Matrices. SIAM J. Matrix Anal. Appl. 29(2): 530-553 (2007) - [c9]Zhenyue Zhang, Lingxiao Zhao:
Probability-Based Locally Linear Embedding for Classification. FSKD (3) 2007: 243-247 - 2006
- [j10]Zhenyue Zhang, Yiu-ming Cheung:
On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm. IEEE Trans. Knowl. Data Eng. 18(10): 1429-1434 (2006) - [c8]Zhenyue Zhang, Jing Wang:
MLLE: Modified Locally Linear Embedding Using Multiple Weights. NIPS 2006: 1593-1600 - 2005
- [j9]Zhenyue Zhang, Jing Wang, Min Fang:
Necessary and Sufficient Conditions for the Existence of Positive Definite Solutions to the Symmetric Recursive Inverse Eigenvalue Problem. SIAM J. Matrix Anal. Appl. 26(4): 1115-1131 (2005) - [c7]Hongyuan Zha, Zhenyue Zhang:
Spectral analysis of alignment in manifold learning. ICASSP (5) 2005: 1069-1072 - [c6]Zhenyue Zhang, Hongyuan Zha:
A Domain Decomposition Method for Fast Manifold Learning. NIPS 2005: 1625-1632 - 2004
- [j8]Zhenyue Zhang, Hongyuan Zha, Horst D. Simon
Low-Rank Approximations with Sparse Factors II: Penalized Methods with Discrete Newton-Like Iterations. SIAM J. Matrix Anal. Appl. 25(4): 901-920 (2004) - [j7]Zhenyue Zhang, Hongyuan Zha:
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment. SIAM J. Sci. Comput. 26(1): 313-338 (2004) - [c5]Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rangachar Kasturi:
Local Smoothing for Manifold Learning. CVPR (2) 2004: 452-459 - [c4]Jing Wang, Zhenyue Zhang, Hongyuan Zha:
Adaptive Manifold Learning. NIPS 2004: 1473-1480 - 2003
- [j6]Zhenyue Zhang, Yushan Huang:
A Projection Method for Least Squares Problems with a Quadratic Equality Constraint. SIAM J. Matrix Anal. Appl. 25(1): 188-212 (2003) - [c3]Hongyuan Zha, Zhenyue Zhang:
Isometric Embedding and Continuum ISOMAP. ICML 2003: 864-871 - [c2]Zhenyue Zhang, Hongyuan Zha:
Nonlinear Dimension Reduction via Local Tangent Space Alignment. IDEAL 2003: 477-481 - [c1]Hui Han, C. Lee Giles
Automatic Document Metadata Extraction Using Support Vector Machines. JCDL 2003: 37-48 - 2002
- [j5]Hasan Erbay, Jesse L. Barlow, Zhenyue Zhang:
A modified Gram-Schmidt-based downdating technique for ULV decompositions with applications to recursive TLS problems. Comput. Stat. Data Anal. 41(1): 195-209 (2002) - [j4]Zhenyue Zhang, Hongyuan Zha, Horst D. Simon
Low-Rank Approximations with Sparse Factors I: Basic Algorithms and Error Analysis. SIAM J. Matrix Anal. Appl. 23(3): 706-727 (2002) - [i1]Zhenyue Zhang, Hongyuan Zha:
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment. CoRR cs.LG/0212008 (2002) - 2001
- [j3]Zhenyue Zhang, Hongyuan Zha:
Structure and Perturbation Analysis of Truncated SVDs for Column-Partitioned Matrices. SIAM J. Matrix Anal. Appl. 22(4): 1245-1262 (2001) - 2000
- [j2]Hongyuan Zha, Zhenyue Zhang:
Matrices with Low-Rank-Plus-Shift Structure: Partial SVD and Latent Semantic Indexing. SIAM J. Matrix Anal. Appl. 21(2): 522-536 (2000)
1990 – 1999
- 1998
- [j1]Hongyuan Zha, Zhenyue Zhang:
A Cubically Convergent Parallelizable Method for the Hermitian Eigenvalue Problem. SIAM J. Matrix Anal. Appl. 19(2): 468-486 (1998)
Coauthor Index
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