Search Results for author: Shengxin Zhu

Found 11 papers, 3 papers with code

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

no code implementations27 Nov 2024 Lewen Yang, Xuanyu Zhou, Juao Fan, Xinyi Xie, Shengxin Zhu

Foundational models have the characteristics of pre-training, transfer learning, and self-supervised learning, and pre-trained models can be fine-tuned and applied to various downstream tasks.

Language Modeling Language Modelling +3

Stochastic diagonal estimation with adaptive parameter selection

no code implementations15 Oct 2024 Zongyuan Han, Wenhao Li, Shengxin Zhu

In this paper, we investigate diagonal estimation for large or implicit matrices, aiming to develop a novel and efficient stochastic algorithm that incorporates adaptive parameter selection.

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

no code implementations12 Jul 2024 Linhan Xia, Yicheng Yang, Ziou Chen, Zheng Yang, Shengxin Zhu

This study proposes a multi-modal movie recommendation system by extract features of the well designed posters for each movie and the narrative text description of the movie.

Movie Recommendation

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

1 code implementation4 Jun 2024 Yuda Wang, Xuxin He, Shengxin Zhu

EchoMamba4Rec leverages these control relationships in sequential recommendation and integrates bi-directional processing with frequency-domain filtering to capture complex patterns and dependencies in user interaction data more effectively.

Computational Efficiency Mamba +2

Quantformer: from attention to profit with a quantitative transformer trading strategy

1 code implementation30 Mar 2024 Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené

In traditional quantitative trading practice, navigating the complicated and dynamic financial market presents a persistent challenge.

Sentiment Analysis Transfer Learning

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

no code implementations23 Oct 2023 Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu

This comprehensive review delves into the pivotal role of prompt engineering in unleashing the capabilities of Large Language Models (LLMs).

Hallucination Prompt Engineering +1

Learning with linear mixed model for group recommendation systems

no code implementations17 Dec 2022 Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu

Accurate prediction of users' responses to items is one of the main aims of many computational advising applications.

Recommendation Systems

CSGO: Constrained-Softassign Gradient Optimization For Large Graph Matching

1 code implementation17 Aug 2022 Binrui Shen, Qiang Niu, Shengxin Zhu

The advanced constraining operator enables a CSGO for large graph matching, which outperforms state-of-the-art methods in experiments.

Graph Matching

Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients

no code implementations2 Mar 2021 Xinliang Liu, Lei Zhang, Shengxin Zhu

In this paper, we demonstrate the construction of generalized Rough Polyhamronic Splines (GRPS) within the Bayesian framework, in particular, for multiscale PDEs with rough coefficients.

Numerical Analysis Numerical Analysis

Fabricated Pictures Detection with Graph Matching

no code implementations16 Jan 2020 Binrui Shen, Qiang Niu, Shengxin Zhu

Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process.

Graph Matching

Sparse inversion for derivative of log determinant

no code implementations2 Nov 2019 Shengxin Zhu, Andrew J Wathen

Algorithms for Gaussian process, marginal likelihood methods or restricted maximum likelihood methods often require derivatives of log determinant terms.

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