Shengxin Zhu

43 papers A* 1B 1Misc 1Journal 28Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
CSGO: Constrained-softassign gradient optimization for large graph matching.
Pattern Recognit.
Binrui Shen, Qiang Niu, Shengxin Zhu
2026 J jnl
Quantformer: From attention to profit with a quantitative transformer trading strategy.
Expert Syst. Appl.
Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené
2025 J jnl
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing.
CoRR
Binrui Shen, Yuan Liang, Shengxin Zhu
2025 J jnl
GGBond: Growing Graph-Based AI-Agent Society for Socially-Aware Recommender Simulation.
CoRR
Hailin Zhong, Hanlin Wang, Yujun Ye, Meiyi Zhang, Shengxin Zhu
2025 J jnl
Lightning graph matching.
J. Comput. Appl. Math.
Binrui Shen, Qiang Niu, Shengxin Zhu
2025 B conf
MambaGuard-MOO: Multi-Objective Safe Drug Recommendation with Contrastive Learning.
IEEE Big Data
Hongtao Xie, Shengxin Zhu
2025 J jnl
On Symmetric Lanczos Quadrature for Trace Estimation.
CoRR
Wenhao Li, Zongyuan Han, Shengxin Zhu
2025 J jnl
Unleashing the potential of prompt engineering for large language models.
Patterns
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu
2024 A* conf
Adaptive Softassign via Hadamard-Equipped Sinkhorn.
CVPR
Binrui Shen, Qiang Niu, Shengxin Zhu
2024 — conf
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?
FLLM
Lewen Yang, Xuanyu Zhou, Juao Fan, Xinyi Xie, Shengxin Zhu
2024 J jnl
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?
CoRR
Lewen Yang, Xuanyu Zhou, Juao Fan, Xinyi Xie, Shengxin Zhu
2024 J jnl
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation.
CoRR
Yuda Wang, Xuxin He, Shengxin Zhu
2024 J jnl
From attention to profit: quantitative trading strategy based on transformer.
CoRR
Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené
2024 J jnl
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion.
CoRR
Linhan Xia, Yicheng Yang, Ziou Chen, Zheng Yang, Shengxin Zhu
2024 J jnl
RCM++:Reverse Cuthill-McKee ordering with Bi-Criteria Node Finder.
CoRR
Jiajun Hou, HongJie Liu, Shengxin Zhu
2024 J jnl
Stochastic diagonal estimation with adaptive parameter selection.
CoRR
Zongyuan Han, Wenhao Li, Shengxin Zhu
2024 J jnl
Will Lanczos Iterations Generate Symmetric Quadrature Nodes?
CoRR
Wenhao Li, Zongyuan Han, Andrew J. Wathen, Shengxin Zhu
2023 J jnl
An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes.
CoRR
Wenhao Li, Zongyuan Han, Yixuan Huang, Shengxin Zhu
2023 — conf
Click-Through Rate Prediction Models based on Interest Modeling.
BDE
Zhen Luo, Yingfang Zhang, Chengxuan Hu, Yuxuan Xia, Shengxin Zhu
2023 J jnl
Native spaces and generalization of Wu functions.
CoRR
Yixuan Huang, Zongmin Wu, Shengxin Zhu
2023 J jnl
Suboptimal subspace construction for log-determinant approximation.
CoRR
Zongyuan Han, Wenhao Li, Yixuan Huang, Shengxin Zhu
2023 J jnl
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review.
CoRR
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu
2022 J jnl
Dynamical softassign and adaptive parameter tuning for graph matching.
CoRR
Binrui Shen, Qiang Niu, Shengxin Zhu
2022 J jnl
Learning with linear mixed model for group recommendation systems.
CoRR
Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu
2021 J jnl
Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients.
CoRR
Xinliang Liu, Lei Zhang, Shengxin Zhu
2021 — conf
xDeepFIG: An eXtreme Deep Model with Feature Interactions and Generation for CTR Prediction.
BDSIC
Bokai Xu, Shihan Bu, Xinyue Li, Yanzhi Lin, Shengxin Zhu
2020 — conf
A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Model.
SAI (1)
Tianyu Zuo, Shengxin Zhu, Jian Lu
2020 J jnl
AIMS: Average information matrix splitting.
Math. Found. Comput.
Shengxin Zhu, Tongxiang Gu, Xingping Liu
2020 — conf
Fabricated Pictures Detection with Graph Matching.
APIT
Binrui Shen, Qiang Niu, Shengxin Zhu
2020 J jnl
Fabricated Pictures Detection with Graph Matching.
CoRR
Binrui Shen, Qiang Niu, Shengxin Zhu
2020 J jnl
Knowledge Discovery and Recommendation With Linear Mixed Model.
IEEE Access
Zhiyi Chen, Shengxin Zhu, Qiang Niu, Tianyu Zuo
2020 — conf
Personalized Recommender Systems with Multi-source Data.
SAI (1)
Yili Wang, Tong Wu, Fei Ma, Shengxin Zhu
2020 J jnl
Summation of Gaussian shifts as Jacobi's third Theta function.
Math. Found. Comput.
Shengxin Zhu
2019 — conf
Fast sparse kernel summation on cartesian grids: an on-chip algorithm for 3D implicit surface visualization.
HP3C
Shengxin Zhu, Andrew J. Wathen
2019 Misc conf
Learning with Linear Mixed Model for Group Recommendation Systems.
ICMLC
Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu
2019 — conf
Modeling the Cashflow Management of Bike Sharing Industry.
BIS (2)
Binrui Shen, Yu Shan, Yunyu Jia, Dejun Xie, Shengxin Zhu
2019 — conf
Profile Inference from Heterogeneous Data - Fundamentals and New Trends.
BIS (1)
Xin Lu, Shengxin Zhu, Qiang Niu, Zhiyi Chen
2019 J jnl
Sparse inversion for derivative of log determinant.
CoRR
Shengxin Zhu, Andrew J. Wathen
2018 — conf
Symmetric Sweeping Algorithms for Overlaps of Quadrilateral Meshes of the Same Connectivity.
ICCS (3)
Xihua Xu, Shengxin Zhu
2016 — conf
Information Splitting for Big Data Analytics.
CyberC
Shengxin Zhu, Tongxiang Gu, Xiaowen Xu, Zeyao Mo
2015 J jnl
Convexity and Solvability for Compactly Supported Radial Basis Functions with Different Shapes.
J. Sci. Comput.
Shengxin Zhu, Andrew J. Wathen
2015 J jnl
On spectral distribution of kernel matrices related to radial basis functions.
Numer. Algorithms
Andrew J. Wathen, Shengxin Zhu
2015 — conf
On the Memory Wall and Performance of Symmetric Sparse Matrix Vector Multiplications In Different Data Structures on Shared Memory Machines.
UIC/ATC/ScalCom
Tongxiang Gu, Xingping Liu, Zeyao Mo, Xiaowen Xu, Shengxin Zhu