Inverse eigenproblem for centrosymmetric and centroskew matrices and their approximation. - Zheng-Jian Bai; Raymond H. Chan (Theor. Comput. Sci., 2004)

Principal Component Analysis for Distributed Data Sets with Updating. - Zheng-Jian Bai; Raymond H. Chan; Franklin T. Luk (APPT, 2005)

The Inverse Eigenproblem of Centrosymmetric Matrices with a Submatrix Constraint and Its Approximation. - Zheng-Jian Bai (SIAM J. Matrix Anal. Appl., 2005)

Inexact Newton methods for inverse eigenvalue problems. - Zheng-Jian Bai (Appl. Math. Comput., 2006)

On Optimal Screening and Quarantining Policy in a Network of Prisons. - Zheng-Jian Bai; Wai-Ki Ching; Yang Cong; Tuen-Wai Ng (Commun. Inf. Syst., 2007)

A Dual Optimization Approach to Inverse Quadratic Eigenvalue Problems with Partial Eigenstructure. - Zheng-Jian Bai; Delin Chu; Defeng Sun (SIAM J. Sci. Comput., 2007)

Computing the Nearest Doubly Stochastic Matrix with A Prescribed Entry. - Zheng-Jian Bai; Delin Chu; Roger C. E. Tan (SIAM J. Sci. Comput., 2007)

A smoothing Newton's method for the construction of a damped vibrating system from noisy test eigendata. - Zheng-Jian Bai; Wai-Ki Ching (Numer. Linear Algebra Appl., 2009)

Fast Preconditioners for Total Variation Deblurring with Antireflective Boundary Conditions. - Zheng-Jian Bai; Marco Donatelli; Stefano Serra-Capizzano (SIAM J. Matrix Anal. Appl., 2011)

An Ulm-like Method for Inverse Singular Value Problems. - Seak-Weng Vong; Zheng-Jian Bai; Xiao-Qing Jin (SIAM J. Matrix Anal. Appl., 2011)

Nonnegative inverse eigenvalue problems with partial eigendata. - Zheng-Jian Bai; Stefano Serra-Capizzano; Zhi Zhao (Numerische Mathematik, 2012)

On the alternating direction method of multipliers for nonnegative inverse eigenvalue problems with partial eigendata. - Zhi Zhao; Zheng-Jian Bai; Guizhi Chen (J. Comput. Appl. Math., 2013)

Semidefinite inverse eigenvalue problems with prescribed entries and partial eigendata. - Teng-Teng Yao; Zheng-Jian Bai (J. Comput. Appl. Math., 2015)

A Riemannian Newton Algorithm for Nonlinear Eigenvalue Problems. - Zhi Zhao; Zheng-Jian Bai; Xiao-Qing Jin (SIAM J. Matrix Anal. Appl., 2015)

Discriminative Lasso. - Zhihong Zhang 001; Jianbing Xiahou; Zheng-Jian Bai; Edwin R. Hancock; Da Zhou; Sibao Chen 001; Liyan Chen (Cogn. Comput., 2016)

A Riemannian Fletcher-Reeves Conjugate Gradient Method for Doubly Stochastic Inverse Eigenvalue Problems. - Teng-Teng Yao; Zheng-Jian Bai; Zhi Zhao; Wai-Ki Ching (SIAM J. Matrix Anal. Appl., 2016)

A Geometric Nonlinear Conjugate Gradient Method for Stochastic Inverse Eigenvalue Problems. - Zhi Zhao; Xiao-Qing Jin; Zheng-Jian Bai (SIAM J. Numer. Anal., 2016)

Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity. - Hong Zheng; Xiaobo Qu 001; Zheng-Jian Bai; Yunsong Liu; Di Guo; Jiyang Dong; Xi Peng 004; Zhong Chen 005 (BMC Medical Imaging, 2017)

A Unified Neighbor Reconstruction Method for Embeddings. - Zhiling Ye; Zhihong Zhang 001; Lu Bai 001; Guosheng Hu; Zheng-Jian Bai; Yiqun Hu; Edwin R. Hancock (ICPR, 2018)

A structure-preserving Jacobi algorithm for quaternion Hermitian eigenvalue problems. - Ru-Ru Ma; Zhigang Jia; Zheng-Jian Bai (Comput. Math. Appl., 2018)

A Riemannian inexact Newton-CG method for constructing a nonnegative matrix with prescribed realizable spectrum. - Zhi Zhao; Zheng-Jian Bai; Xiao-Qing Jin (Numerische Mathematik, 2018)

A Riemannian variant of the Fletcher-Reeves conjugate gradient method for stochastic inverse eigenvalue problems with partial eigendata. - Teng-Teng Yao; Zheng-Jian Bai; Zhi Zhao (Numer. Linear Algebra Appl., 2019)

New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair. - Weiwei Xu; Michael K. Ng 001; Zheng-Jian Bai (CoRR, 2020)

Riemannian Newton-CG Methods for Constructing a Positive Doubly Stochastic Matrix From Spectral Data. - Yang Wang; Zhi Zhao; Zheng-Jian Bai (CoRR, 2020)

A Modified Orthogonal Matching Pursuit for Construction of Sparse Probabilistic Boolean Networks. - Guiyun Xiao; Zheng-Jian Bai (CoRR, 2020)

Single-pass randomized QLP decomposition for low-rank approximation. - Huan Ren; Zheng-Jian Bai (CoRR, 2020)

A Row-Wise Update Algorithm for Sparse Stochastic Matrix Factorization. - Guiyun Xiao; Zheng-Jian Bai; Wai-Ki Ching (CoRR, 2021)

A Riemannian derivative-free Polak-Ribiére-Polyak method for tangent vector field. - Teng-Teng Yao; Zhi Zhao; Zheng-Jian Bai; Xiao-Qing Jin (Numer. Algorithms, 2021)

A Riemannian inexact Newton-CG method for stochastic inverse singular value problems. - Ru-Ru Ma; Zheng-Jian Bai (Numer. Linear Algebra Appl., 2021)

Condition numbers for the truncated total least squares problem and their estimations. - Qingle Meng; Huai-An Diao; Zheng-Jian Bai (Numer. Linear Algebra Appl., 2021)

Penalized -regression-based bicluster localization. - Hanjia Gao; Zhengjian Bai; Weiguo Gao; Shuqin Zhang (Pattern Recognit., 2021)

A modified orthogonal matching pursuit for construction of sparse probabilistic boolean networks. - Guiyun Xiao; Zheng-Jian Bai; Wai-Ki Ching (Appl. Math. Comput., 2022)

A mixed precision Jacobi method for the symmetric eigenvalue problem. - Zhiyuan Zhang; Zheng-Jian Bai (CoRR, 2022)

Randomized Quaternion QLP Decomposition for Low-Rank Approximation. - Huan Ren; Ru-Ru Ma; Qiaohua Liu; Zheng-Jian Bai (J. Sci. Comput., 2022)

A Geometric Proximal Gradient Method for Sparse Least Squares Regression with Probabilistic Simplex Constraint. - Guiyun Xiao; Zheng-Jian Bai (J. Sci. Comput., 2022)

Effective Medium Theory for Embedded Obstacles in Elasticity with Applications to Inverse Problems. - Qingle Meng; Zheng-Jian Bai; Huaian Diao; Hongyu Liu 001 (SIAM J. Appl. Math., 2022)

A Columnwise Update Algorithm for Sparse Stochastic Matrix Factorization. - Guiyun Xiao; Zheng-Jian Bai; Wai-Ki Ching (SIAM J. Matrix Anal. Appl., 2022)

Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair. - Weiwei Xu; Michael K. Ng 001; Zheng-Jian Bai (SIAM J. Matrix Anal. Appl., 2022)

A generalized geometric spectral conjugate gradient algorithm for finding zero of a monotone tangent vector field on a constant curvature Hadamard manifold. - Zhi Zhao; Xiao-Qing Jin; Zheng-Jian Bai; Teng-Teng Yao (J. Comput. Appl. Math., 2023)

A Riemannian inexact Newton dogleg method for constructing a symmetric nonnegative matrix with prescribed spectrum. - Zhi Zhao; Teng-Teng Yao; Zheng-Jian Bai; Xiao-Qing Jin (Numer. Algorithms, 2023)

Two-sided uniformly randomized GSVD for large-scale discrete ill-posed problems with Tikhonov regularizations. - Weiwei Xu; Weijie Shen; Zheng-Jian Bai (CoRR, 2024)

Double-variable trace maximization for extreme generalized singular quartets of a matrix pair: A geometric method. - Wei-Wei Xu; Zheng-Jian Bai (Math. Comput., 2024)

Scaled Proximal Gradient Methods for Sparse Optimization Problems. - Guiyun Xiao; Shuqin Zhang; Zheng-Jian Bai (J. Sci. Comput., 2024)