Chengyi Zhang
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View article: Brain corticospinal tract abnormalities in aquaporin-4 seropositive neuromyelitis optica spectrum disorder with longitudinally extensive transverse myelitis
Brain corticospinal tract abnormalities in aquaporin-4 seropositive neuromyelitis optica spectrum disorder with longitudinally extensive transverse myelitis Open
Widespread white matter changes, including those in the corticospinal tract (CST), have been observed in patients with neuromyelitis optica spectrum disorder (NMOSD). However, whether these alterations originate within the brain or result …
View article: Empirical Likelihood for Composite Quantile Regression Models with Missing Response Data
Empirical Likelihood for Composite Quantile Regression Models with Missing Response Data Open
Under the assumption of missing response data, empirical likelihood inference is studied via composite quantile regression. Firstly, three empirical likelihood ratios of composite quantile regression are given and proved to be asymptotical…
View article: Clinical effects of arthroscopic-assisted uni-portal spinal surgery and unilateral bi-portal endoscopy on unilateral laminotomy for bilateral decompression in patients with lumbar spinal stenosis: a retrospective cohort study
Clinical effects of arthroscopic-assisted uni-portal spinal surgery and unilateral bi-portal endoscopy on unilateral laminotomy for bilateral decompression in patients with lumbar spinal stenosis: a retrospective cohort study Open
Objective To investigate the clinical effectiveness of Arthroscopic-assisted Uni-portal Spinal Surgery (AUSS) in the treatment of lumbar spinal stenosis. Methods A total of 475 patients with lumbar spinal stenosis from January 2019 to Janu…
View article: Two-Stage Estimation of Partially Linear Varying Coefficient Quantile Regression Model with Missing Data
Two-Stage Estimation of Partially Linear Varying Coefficient Quantile Regression Model with Missing Data Open
In this paper, the statistical inference of the partially linear varying coefficient quantile regression model is studied under random missing responses. A two-stage estimation procedure is developed to estimate the parametric and nonparam…
View article: Positive 2-bridge knots and chirally cosmetic surgeries
Positive 2-bridge knots and chirally cosmetic surgeries Open
In this paper we verify that with the exception of the $(2, 2n+1)$ torus knots, positive 2-bridge knots up to 31 crossings do not admit chirally cosmetic surgeries. A knot $K$ admits chirally cosmetic surgeries if there exist surgeries $S^…
View article: Fresher Experience Plays a More Important Role in Prioritized Experience Replay
Fresher Experience Plays a More Important Role in Prioritized Experience Replay Open
Prioritized experience replay (PER) is an important technique in deep reinforcement learning (DRL). It improves the sampling efficiency of data in various DRL algorithms and achieves great performance. PER uses temporal difference error (T…
View article: Statistical Inference for Partially Linear Varying Coefficient Quantile Models with Missing Responses
Statistical Inference for Partially Linear Varying Coefficient Quantile Models with Missing Responses Open
The construction of confidence intervals is investigated for the partially linear varying coefficient quantile model with missing random responses. Combined with quantile regression, an imputation-based empirical likelihood method is propo…
View article: Adaptive-Time Synchronization Algorithm for Semiconductor Superlattice Key Distribution
Adaptive-Time Synchronization Algorithm for Semiconductor Superlattice Key Distribution Open
This paper presents a synchronisation algorithm for semiconductor superlattice key distribution symmetric encryption solution by optimising the Euclidian distance between the two chaotic waveforms generated in the receiver and the send…
View article: On the strong <i>P</i>-regular splitting iterative methods for non-Hermitian linear systems
On the strong <i>P</i>-regular splitting iterative methods for non-Hermitian linear systems Open
The strong P-regular splitting is put forward and defined for iterative methods of non-Hermitian linear systems in the paper. The strong P-regular splitting combining SOR iterative methods and relaxed SOR iterative methods are established,…
View article: Incidence of neuromyelitis optica spectrum disorder (NMOSD) in China: A national population-based study
Incidence of neuromyelitis optica spectrum disorder (NMOSD) in China: A national population-based study Open
View article: Incidence of multiple sclerosis in China: A nationwide hospital-based study
Incidence of multiple sclerosis in China: A nationwide hospital-based study Open
View article: The alternate direction iterative methods for generalized saddle point systems
The alternate direction iterative methods for generalized saddle point systems Open
View article: Adaptive-time Synchronization Algorithm for Superlattice Key Distribution
Adaptive-time Synchronization Algorithm for Superlattice Key Distribution Open
This paper presents a synchronization algorithm for superlattice key distribution, which is a symmetric encryption solution, by optimizing the Euclidian distance between the two chaotic waveforms generated in the receiver and the sender, r…
View article: The Application of The Decision Tree Algorithm Based on K-means in Employee Turnover Prediction
The Application of The Decision Tree Algorithm Based on K-means in Employee Turnover Prediction Open
The employee’s voluntary turnover is one of the most difficult problems for the company. The research uses a human resource data as an example. K-means is used to classify employees, and then each type of the decision tree algorithm is use…
View article: Composite Quantile Regression for Varying Coefficient Models with Response Data Missing at Random
Composite Quantile Regression for Varying Coefficient Models with Response Data Missing at Random Open
Composite quantile regression (CQR) estimation and inference are studied for varying coefficient models with response data missing at random. Three estimators including the weighted local linear CQR (WLLCQR) estimator, the nonparametric WL…
View article: Using IM-Visor to stop untrusted IME apps from stealing sensitive keystrokes
Using IM-Visor to stop untrusted IME apps from stealing sensitive keystrokes Open
View article: Intrinsic Image Transformation via Scale Space Decomposition
Intrinsic Image Transformation via Scale Space Decomposition Open
We introduce a new network structure for decomposing an image into its intrinsic albedo and shading. We treat this as an image-to-image transformation problem and explore the scale space of the input and output. By expanding the output ima…
View article: CONSTRUCTION OF FULL H-MATRICES WITH THE GIVEN EIGENVALUES BASED ON THE GIVENS MATRICES
CONSTRUCTION OF FULL H-MATRICES WITH THE GIVEN EIGENVALUES BASED ON THE GIVENS MATRICES Open
The inverse eigenvalue problem is about how to construct a desired matrix whose spectrum is the given number set. In this paper, in view of the Givens matrices, we prove that there exist three classes of full H-matrices which include stric…
View article: The disc separation and the eigenvalue distribution of the Schur complement of nonstrictly diagonally dominant matrices
The disc separation and the eigenvalue distribution of the Schur complement of nonstrictly diagonally dominant matrices Open
The result on the Geršgorin disc separation from the origin for strictly diagonally dominant matrices and their Schur complements in (Liu and Zhang in SIAM J. Matrix Anal. Appl. 27(3):665-674, 2005) is extended to nonstrictly diagonally do…
View article: Affine matrix rank minimization problem via non-convex fraction function penalty
Affine matrix rank minimization problem via non-convex fraction function penalty Open
Affine matrix rank minimization problem is a fundamental problem with a lot of important applications in many fields. It is well known that this problem is combinatorial and NP-hard in general. In this paper, a continuous promoting low ran…
View article: Positive eigenvector of nonlinear eigenvalue problem with a singular M-matrix and Newton-SOR iterative solution
Positive eigenvector of nonlinear eigenvalue problem with a singular M-matrix and Newton-SOR iterative solution Open
Some sufficient conditions are proposed in this paper such that the nonlinear eigenvalue problem with an irreducible singular M-matrix has a unique positive eigenvector. Under these conditions, the Newton-SOR iterative method is proposed f…
View article: A splitting method for shifted skew-Hermitian linear system
A splitting method for shifted skew-Hermitian linear system Open
In this paper, we present a splitting method for solving the shifted skew-Hermitian linear system, which is briefly called an α-SSS. Some convergence results are established and numerical experiments show that the splitting method is feasi…
View article: Convergence on successive over-relaxed iterative methods for non-Hermitian positive definite linear systems
Convergence on successive over-relaxed iterative methods for non-Hermitian positive definite linear systems Open
Some convergence conditions on successive over-relaxed (SOR) iterative method and symmetric SOR (SSOR) iterative method are proposed for non-Hermitian positive definite linear systems. Some examples are given to demonstrate the results obt…
View article: A convergence analysis of SOR iterative methods for linear systems with weak <i>H</i>-matrices
A convergence analysis of SOR iterative methods for linear systems with weak <i>H</i>-matrices Open
It is well known that SOR iterative methods are convergent for linear systems, whose coefficient matrices are strictly or irreducibly diagonally dominant matrices and strong H -matrices (whose comparison matrices are nonsingular M -matrice…
View article: Convergence on Gauss-Seidel iterative methods for linear systems with general H-matrices
Convergence on Gauss-Seidel iterative methods for linear systems with general H-matrices Open
It is well known that as a famous type of iterative methods in numerical linear algebra, Gauss-Seidel iterative methods are convergent for linear systems with strictly or irreducibly diagonally dominant matrices, invertible Hâmatrices (g…