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2020 – today
- 2025
[j7]Binrui Shen, Qiang Niu, Shengxin Zhu
:
Lightning graph matching. J. Comput. Appl. Math. 454: 116189 (2025)- 2024
- [c13]Binrui Shen, Qiang Niu, Shengxin Zhu:
Adaptive Softassign via Hadamard-Equipped Sinkhorn. CVPR 2024: 17638-17647 - [i13]Wenhao Li, Zongyuan Han, Andrew J. Wathen, Shengxin Zhu:
Will Lanczos Iterations Generate Symmetric Quadrature Nodes? CoRR abs/2401.17757 (2024) - [i12]Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené:
From attention to profit: quantitative trading strategy based on transformer. CoRR abs/2404.00424 (2024) - [i11]Yuda Wang, Xuxin He, Shengxin Zhu:
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation. CoRR abs/2406.02638 (2024) - [i10]Linhan Xia, Yicheng Yang, Ziou Chen, Zheng Yang, Shengxin Zhu:
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion. CoRR abs/2407.09157 (2024) - 2023
- [c12]Zhen Luo, Yingfang Zhang, Chengxuan Hu, Yuxuan Xia, Shengxin Zhu:
Click-Through Rate Prediction Models based on Interest Modeling. BDE 2023: 18-27 - [i9]Wenhao Li, Zongyuan Han, Yixuan Huang, Shengxin Zhu:
An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes. CoRR abs/2307.00847 (2023) - [i8]Zongyuan Han, Wenhao Li, Yixuan Huang, Shengxin Zhu:
Suboptimal subspace construction for log-determinant approximation. CoRR abs/2307.02152 (2023) - [i7]Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu:
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review. CoRR abs/2310.14735 (2023) - [i6]Yixuan Huang, Zongmin Wu, Shengxin Zhu:
Native spaces and generalization of Wu functions. CoRR abs/2310.14762 (2023) - 2022
- [i5]Binrui Shen, Qiang Niu, Shengxin Zhu:
Dynamical softassign and adaptive parameter tuning for graph matching. CoRR abs/2208.08233 (2022) - [i4]Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu:
Learning with linear mixed model for group recommendation systems. CoRR abs/2212.08901 (2022) - 2021
- [c11]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: 42-51 - [i3]Xinliang Liu, Lei Zhang, Shengxin Zhu:
Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients. CoRR abs/2103.01788 (2021) - 2020
- [j6]Zhiyi Chen, Shengxin Zhu, Qiang Niu, Tianyu Zuo:
Knowledge Discovery and Recommendation With Linear Mixed Model. IEEE Access 8: 38304-38317 (2020) - [j5]Shengxin Zhu:
Summation of Gaussian shifts as Jacobi's third Theta function. Math. Found. Comput. 3(3): 157-163 (2020) - [j4]Shengxin Zhu, Tongxiang Gu, Xingping Liu:
AIMS: Average information matrix splitting. Math. Found. Comput. 3(4): 301-308 (2020) - [c10]Binrui Shen, Qiang Niu, Shengxin Zhu:
Fabricated Pictures Detection with Graph Matching. APIT 2020: 46-51 - [c9]Yili Wang, Tong Wu, Fei Ma, Shengxin Zhu:
Personalized Recommender Systems with Multi-source Data. SAI (1) 2020: 219-233 - [c8]Tianyu Zuo, Shengxin Zhu, Jian Lu:
A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Model. SAI (1) 2020: 347-362 - [i2]Binrui Shen, Qiang Niu, Shengxin Zhu:
Fabricated Pictures Detection with Graph Matching. CoRR abs/2002.03720 (2020)
2010 – 2019
- 2019
- [c7]Xin Lu, Shengxin Zhu, Qiang Niu, Zhiyi Chen:
Profile Inference from Heterogeneous Data - Fundamentals and New Trends. BIS (1) 2019: 122-136 - [c6]Binrui Shen, Yu Shan, Yunyu Jia, Dejun Xie, Shengxin Zhu:
Modeling the Cashflow Management of Bike Sharing Industry. BIS (2) 2019: 132-146 - [c5]Shengxin Zhu, Andrew J. Wathen:
Fast sparse kernel summation on cartesian grids: an on-chip algorithm for 3D implicit surface visualization. HP3C 2019: 20-24 - [c4]Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu:
Learning with Linear Mixed Model for Group Recommendation Systems. ICMLC 2019: 81-85 - [i1]Shengxin Zhu, Andrew J. Wathen:
Sparse inversion for derivative of log determinant. CoRR abs/1911.00685 (2019) - 2018
- [c3]Xihua Xu, Shengxin Zhu:
Symmetric Sweeping Algorithms for Overlaps of Quadrilateral Meshes of the Same Connectivity. ICCS (3) 2018: 61-75 - 2016
- [c2]Shengxin Zhu, Tongxiang Gu, Xiaowen Xu, Zeyao Mo:
Information Splitting for Big Data Analytics. CyberC 2016: 294-302 - 2015
- [j3]Shengxin Zhu, Andrew J. Wathen:
Convexity and Solvability for Compactly Supported Radial Basis Functions with Different Shapes. J. Sci. Comput. 63(3): 862-884 (2015) - [j2]Andrew J. Wathen, Shengxin Zhu:
On spectral distribution of kernel matrices related to radial basis functions. Numer. Algorithms 70(4): 709-726 (2015) - [c1]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: 1439-1444 - 2014
- [j1]Sheng-Xin Zhu, Tongxiang Gu, Xing-Ping Liu:
Minimizing synchronizations in sparse iterative solvers for distributed supercomputers. Comput. Math. Appl. 67(1): 199-209 (2014)
Coauthor Index
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