no code implementations • 30 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.
no code implementations • 23 Oct 2023 • Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu
This survey elucidates foundational principles of prompt engineering, such as role-prompting, one-shot, and few-shot prompting, as well as more advanced methodologies such as the chain-of-thought and tree-of-thoughts prompting.
no code implementations • 17 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.
no code implementations • 17 Aug 2022 • Binrui Shen, Qiang Niu, Shengxin Zhu
Combining the adaptive step size parameter and the dynamical softassign, we propose a novel graph matching algorithm: the softassign constrained gradient method.
no code implementations • 2 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
no code implementations • 16 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.
no code implementations • 2 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.