Shengxin Zhu

发表

Personalized Recommender Systems with Multi-source Data

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

Profile Inference from Heterogeneous Data - Fundamentals and New Trends

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

On the Memory Wall and Performance of Symmetric Sparse Matrix Vector Multiplications In Different Data Structures on Shared Memory Machines

Xiaowen Xu, Zeyao Mo, Shengxin Zhu, 2015, 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom).

Information Matrix Splitting

Xingping Liu, Shengxin Zhu, Tongxiang Gu, 2016 .

On spectral distribution of kernel matrices related to radial basis functions

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

Symmetric Sweeping Algorithms for Overlaps of Quadrilateral Meshes of the Same Connectivity

Xihua Xu, Shengxin Zhu, 2018, ICCS.

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

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

AIMS: Average information matrix splitting

Tongxiang Gu, Shengxin Zhu, Xingping Liu, 2020, Math. Found. Comput..

Sparse inversion for derivative of log determinant pdf

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

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).

Modeling the Cashflow Management of Bike Sharing Industry

Yu Shan, Shengxin Zhu, Dejun Xie, 2019, BIS.

Learning with Linear Mixed Model for Group Recommendation Systems

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

Summation of Gaussian shifts as Jacobi's third Theta function

Shengxin Zhu, 2020, Math. Found. Comput..

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)(.

Censorious Young: Knowledge Discovery from High-throughput Movie Rating Data with LME4

Xin Lu, Zhiyi Chen, Shengxin Zhu, 2019, 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA).

Fast sparse kernel summation on cartesian grids: an on-chip algorithm for 3D implicit surface visualization

Shengxin Zhu, Andrew J Wathen, 2019 .

Fast sparse kernel summation on Cartesian grids

Andrew J. Wathen, Shengxin Zhu, 2014 .

A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Model

Jian Lu, Shengxin Zhu, Tianyu Zuo, 2020, SAI.

Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients pdf

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

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

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

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.