Shengxin Zhu

According to our database, Shengxin Zhu authored at least 41 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AI Harness Engineering: A Runtime Substrate for Foundation-Model Software Agents.

Hailin Zhong, Shengxin Zhu

CoRR, May, 2026

CSGO: Constrained-softassign gradient optimization for large graph matching.

Binrui Shen, Qiang Niu, Shengxin Zhu

Pattern Recognit., 2026

Quantformer: From attention to profit with a quantitative transformer trading strategy.

Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené

Expert Syst. Appl., 2026

2025

GGBond: Growing Graph-Based AI-Agent Society for Socially-Aware Recommender Simulation.

Hailin Zhong, Hanlin Wang, Yujun Ye, Meiyi Zhang, Shengxin Zhu

CoRR, May, 2025

On Symmetric Lanczos Quadrature for Trace Estimation.

Wenhao Li, Zongyuan Han, Shengxin Zhu

CoRR, April, 2025

Unleashing the potential of prompt engineering for large language models.

Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu

Patterns, 2025

Lightning graph matching.

Binrui Shen, Qiang Niu, Shengxin Zhu

J. Comput. Appl. Math., 2025

FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing.

Binrui Shen, Yuan Liang, Shengxin Zhu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MambaGuard-MOO: Multi-Objective Safe Drug Recommendation with Contrastive Learning.

Hongtao Xie, Shengxin Zhu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Stochastic diagonal estimation with adaptive parameter selection.

Zongyuan Han, Wenhao Li, Shengxin Zhu

CoRR, 2024

Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion.

Linhan Xia, Yicheng Yang, Ziou Chen, Zheng Yang, Shengxin Zhu

CoRR, 2024

EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation.

Yuda Wang, Xuxin He, Shengxin Zhu

CoRR, 2024

From attention to profit: quantitative trading strategy based on transformer.

Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené

CoRR, 2024

Will Lanczos Iterations Generate Symmetric Quadrature Nodes?

Wenhao Li, Zongyuan Han, Andrew J. Wathen, Shengxin Zhu

CoRR, 2024

Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?

Lewen Yang, Xuanyu Zhou, Juao Fan, Xinyi Xie, Shengxin Zhu

Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024

Adaptive Softassign via Hadamard-Equipped Sinkhorn.

Binrui Shen, Qiang Niu, Shengxin Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Native spaces and generalization of Wu functions.

Yixuan Huang, Zongmin Wu, Shengxin Zhu

CoRR, 2023

Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review.

Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu

CoRR, 2023

Suboptimal subspace construction for log-determinant approximation.

Zongyuan Han, Wenhao Li, Yixuan Huang, Shengxin Zhu

CoRR, 2023

An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes.

Wenhao Li, Zongyuan Han, Yixuan Huang, Shengxin Zhu

CoRR, 2023

Click-Through Rate Prediction Models based on Interest Modeling.

Zhen Luo, Yingfang Zhang, Chengxuan Hu, Yuxuan Xia, Shengxin Zhu

Proceedings of the 2023 5th International Conference on Big Data Engineering, 2023

2022

Dynamical softassign and adaptive parameter tuning for graph matching.

Binrui Shen, Qiang Niu, Shengxin Zhu

CoRR, 2022

2021

Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients.

Xinliang Liu, Lei Zhang, Shengxin Zhu

CoRR, 2021

xDeepFIG: An eXtreme Deep Model with Feature Interactions and Generation for CTR Prediction.

Bokai Xu, Shihan Bu, Xinyue Li, Yanzhi Lin, Shengxin Zhu

Proceedings of the 3rd International Conference on Big-data Service and Intelligent Computation, 2021

2020

AIMS: Average information matrix splitting.

Shengxin Zhu, Tongxiang Gu, Xingping Liu

Math. Found. Comput., 2020

Summation of Gaussian shifts as Jacobi's third Theta function.

Shengxin Zhu

Math. Found. Comput., 2020

Knowledge Discovery and Recommendation With Linear Mixed Model.

Zhiyi Chen, Shengxin Zhu, Qiang Niu, Tianyu Zuo

IEEE Access, 2020

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

Tianyu Zuo, Shengxin Zhu, Jian Lu

Proceedings of the Intelligent Computing, 2020

Personalized Recommender Systems with Multi-source Data.

Yili Wang, Tong Wu, Fei Ma, Shengxin Zhu

Proceedings of the Intelligent Computing, 2020

Fabricated Pictures Detection with Graph Matching.

Binrui Shen, Qiang Niu, Shengxin Zhu

Proceedings of the APIT 2020: 2nd Asia Pacific Information Technology Conference, 2020

2019

Sparse inversion for derivative of log determinant.

Shengxin Zhu, Andrew J. Wathen

CoRR, 2019

Learning with Linear Mixed Model for Group Recommendation Systems.

Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

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

Shengxin Zhu, Andrew J. Wathen

Proceedings of the 3rd International Conference on High Performance Compilation, 2019

Modeling the Cashflow Management of Bike Sharing Industry.

Binrui Shen, Yu Shan, Yunyu Jia, Dejun Xie, Shengxin Zhu

Proceedings of the Business Information Systems - 22nd International Conference, 2019

Profile Inference from Heterogeneous Data - Fundamentals and New Trends.

Xin Lu, Shengxin Zhu, Qiang Niu, Zhiyi Chen

Proceedings of the Business Information Systems - 22nd International Conference, 2019

2018

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

Xihua Xu, Shengxin Zhu

Proceedings of the Computational Science - ICCS 2018, 2018

2016

Information Splitting for Big Data Analytics.

Shengxin Zhu, Tongxiang Gu, Xiaowen Xu, Zeyao Mo

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

2015

On spectral distribution of kernel matrices related to radial basis functions.

Andrew J. Wathen, Shengxin Zhu

Numer. Algorithms, 2015

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

Shengxin Zhu, Andrew J. Wathen

J. Sci. Comput., 2015

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

Tongxiang Gu, Xingping Liu, Zeyao Mo, Xiaowen Xu, Shengxin Zhu

Proceedings of the 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), 2015

2014

Minimizing synchronizations in sparse iterative solvers for distributed supercomputers.

Sheng-Xin Zhu, Tongxiang Gu, Xing-Ping Liu

Comput. Math. Appl., 2014