Shengxin Zhu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Compactly Supported

Basis Functions

Kernel Matrices

Recommendation Systems

Top Venues

Math. Found. Comput.

Publications

Linhan Xia, Yicheng Yang, Ziou Chen, Zheng Yang, Shengxin Zhu
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion. CoRR (2024)
Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené
From attention to profit: quantitative trading strategy based on transformer. CoRR (2024)
Yuda Wang, Xuxin He, Shengxin Zhu
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation. CoRR (2024)
Wenhao Li, Zongyuan Han, Andrew J. Wathen, Shengxin Zhu
Will Lanczos Iterations Generate Symmetric Quadrature Nodes? CoRR (2024)
Zhen Luo, Yingfang Zhang, Chengxuan Hu, Yuxuan Xia, Shengxin Zhu
Click-Through Rate Prediction Models based on Interest Modeling. BDE (2023)
Zongyuan Han, Wenhao Li, Yixuan Huang, Shengxin Zhu
Suboptimal subspace construction for log-determinant approximation. CoRR (2023)
Yixuan Huang, Zongmin Wu, Shengxin Zhu
Native spaces and generalization of Wu functions. CoRR (2023)
Wenhao Li, Zongyuan Han, Yixuan Huang, Shengxin Zhu
An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes. CoRR (2023)
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review. CoRR (2023)
Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu
Learning with linear mixed model for group recommendation systems. CoRR (2022)
Binrui Shen, Qiang Niu, Shengxin Zhu
Dynamical softassign and adaptive parameter tuning for graph matching. CoRR (2022)
Bokai Xu, Shihan Bu, Xinyue Li, Yanzhi Lin, Shengxin Zhu
xDeepFIG: An eXtreme Deep Model with Feature Interactions and Generation for CTR Prediction. BDSIC (2021)
Xinliang Liu, Lei Zhang, Shengxin Zhu
Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients. CoRR (2021)
Binrui Shen, Qiang Niu, Shengxin Zhu
Fabricated Pictures Detection with Graph Matching. APIT (2020)
Shengxin Zhu, Tongxiang Gu, Xingping Liu
AIMS: Average information matrix splitting. Math. Found. Comput. 3 (4) (2020)
Yili Wang, Tong Wu, Fei Ma, Shengxin Zhu
Personalized Recommender Systems with Multi-source Data. SAI (1) (2020)
Shengxin Zhu
Summation of Gaussian shifts as Jacobi's third Theta function. Math. Found. Comput. 3 (3) (2020)
Zhiyi Chen, Shengxin Zhu, Qiang Niu, Tianyu Zuo
Knowledge Discovery and Recommendation With Linear Mixed Model. IEEE Access 8 (2020)
Tianyu Zuo, Shengxin Zhu, Jian Lu
A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Model. SAI (1) (2020)
Binrui Shen, Qiang Niu, Shengxin Zhu
Fabricated Pictures Detection with Graph Matching. CoRR (2020)
Binrui Shen, Yu Shan, Yunyu Jia, Dejun Xie, Shengxin Zhu
Modeling the Cashflow Management of Bike Sharing Industry. BIS (2) (2019)
Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu
Learning with Linear Mixed Model for Group Recommendation Systems. ICMLC (2019)
Shengxin Zhu, Andrew J. Wathen
Sparse inversion for derivative of log determinant. CoRR (2019)
Shengxin Zhu, Andrew J. Wathen
Fast sparse kernel summation on cartesian grids: an on-chip algorithm for 3D implicit surface visualization. HP3C (2019)
Xin Lu, Shengxin Zhu, Qiang Niu, Zhiyi Chen
Profile Inference from Heterogeneous Data - Fundamentals and New Trends. BIS (1) (2019)
Xihua Xu, Shengxin Zhu
Symmetric Sweeping Algorithms for Overlaps of Quadrilateral Meshes of the Same Connectivity. ICCS (3) (2018)
Shengxin Zhu, Tongxiang Gu, Xiaowen Xu, Zeyao Mo
Information Splitting for Big Data Analytics. CyberC (2016)
Tongxiang Gu, Xingping Liu, Zeyao Mo, Xiaowen Xu, Shengxin Zhu
On the Memory Wall and Performance of Symmetric Sparse Matrix Vector Multiplications In Different Data Structures on Shared Memory Machines. UIC/ATC/ScalCom (2015)
Andrew J. Wathen, Shengxin Zhu
On spectral distribution of kernel matrices related to radial basis functions. Numer. Algorithms 70 (4) (2015)
Shengxin Zhu, Andrew J. Wathen
Convexity and Solvability for Compactly Supported Radial Basis Functions with Different Shapes. J. Sci. Comput. 63 (3) (2015)