Shengxin Zhu

发表

On spectral distribution of kernel matrices related to radial basis functions

Andrew J. Wathen, Shengxin Zhu, A. Wathen, 2015, Numerical Algorithms.

Compactly supported radial basis functions: How and why?

Shengxin Zhu, 2012 .

Application of Fredholm integral equations inverse theory to the radial basis function approximation problem I

R. Renaut, Shengxin Zhu, 2012 .

Computing log-likelihood and its derivatives for restricted maximum likelihood methods

Shengxin Zhu, 2016, 1608.07207.

Solving inverse eigenvalue problems via Householder and rank-one matrices☆

Tongxiang Gu, Shengxin Zhu, T. Gu, 2009 .

Inner product computation for sparse iterative solvers on distributed supercomputer

T. Gu, Shengxin Zhu, Xingping Liu, 2012 .

Computing Overlaps of Two Quadrilateral Mesh Of the Same Connectivity

Shengxin Zhu, Xihua Xu, 2016, 1605.08852.

C O ] 1 1 M ay 2 01 8 Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models ✩

A. Wathen, Shengxin Zhu, 2018 .

Approximate Information and Accelerating for High-throughput Heterogeneous Data Analysis with Linear Mixed Models

Shengxin Zhu, 2017 .

Convexity and Solvability for Compactly Supported Radial Basis Functions with Different Shapes

A. Wathen, Shengxin Zhu, 2014, Journal of Scientific Computing.

Clinical application value of preoperative selective partial splenic embolization before splenectomy plus portal-azygous disconnection.

Shengxin Zhu, Sheng Chang, 2015, International journal of clinical and experimental pathology.

Minimizing synchronizations in sparse iterative solvers for distributed supercomputers

Tongxiang Gu, Xing-Ping Liu, Sheng-Xin Zhu, 2014, Comput. Math. Appl..

Personalized Recommender Systems with Multi-source Data

Fei Ma, Tong Wu, Yili Wang, 2020, SAI.

Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models

Shengxin Zhu, Andrew J Wathen, A. Wathen, 2018, 1805.05188.

Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients pdf

Lei Zhang, Shengxin Zhu, Xinliang Liu, 2021, Numerical Mathematics: Theory, Methods and Applications.

Convexity and Solvability for Compactly Supported Radial Basis Functions with Different Shapes

Andrew J. Wathen, Shengxin Zhu, A. Wathen, 2015, J. Sci. Comput..

Profile Inference from Heterogeneous Data - Fundamentals and New Trends

Zhiyi Chen, Qiang Niu, Xin Lu, 2019, BIS.

Sparse inversion for derivative of log determinant pdf

Shengxin Zhu, Andrew J Wathen, A. Wathen, 2019, ArXiv.

Fast calculation of restricted maximum likelihood methods for unstructured high-throughput data

Shengxin Zhu, Shengxin Zhu, 2017, 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(.

Information Splitting for Big Data Analytics

Xiaowen Xu, Zeyao Mo, Shengxin Zhu, 2016, 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC).

AIMS: Average information matrix splitting

T. Gu, Shengxin Zhu, Xingping Liu, 2016, Math. Found. Comput..

Information Matrix Splitting

Xingping Liu, Shengxin Zhu, Tongxiang Gu, 2016 .

Knowledge Discovery and Recommendation With Linear Mixed Model

Zhiyi Chen, Shengxin Zhu, Qiang Niu, 2020, IEEE Access.

Learning with Linear Mixed Model for Group Recommendation Systems

Yiming Wang, Hanzhang Wang, Shengxin Zhu, 2019, ICMLC '19.