Zobrazeno 1 - 10
of 3 893
pro vyhledávání: '"DING, Rui"'
Autor:
Ding, Rui, Liu, Jianguo, Hua, Kang, Wang, Xuebin, Zhang, Xiaoben, Shao, Minhua, Chen, Yuxin, Chen, Junhong
Developing advanced catalysts for acidic oxygen evolution reaction (OER) is crucial for sustainable hydrogen production. This study introduces a novel, multi-stage machine learning (ML) approach to streamline the discovery and optimization of complex
Externí odkaz:
http://arxiv.org/abs/2407.04877
Differentiable causal discovery has made significant advancements in the learning of directed acyclic graphs. However, its application to real-world datasets remains restricted due to the ubiquity of latent confounders and the requirement to learn ma
Externí odkaz:
http://arxiv.org/abs/2406.10537
In this paper, we consider the existence and multiplicity of normalized solutions for the following $(2, q)$-Laplacian equation \begin{equation}\label{Equation} \left\{\begin{aligned} &-\Delta u-\Delta_q u+\lambda u=g(u),\quad x \in \mathbb{R}^N, &\|
Externí odkaz:
http://arxiv.org/abs/2406.07985
The rapid advancement of Large Language Models (LLMs) has ushered in an era where AI-generated text is increasingly indistinguishable from human-generated content. Detecting AI-generated text has become imperative to combat misinformation, ensure con
Externí odkaz:
http://arxiv.org/abs/2406.06558
Autor:
He, Xinyi, Zhou, Mengyu, Xu, Xinrun, Ma, Xiaojun, Ding, Rui, Du, Lun, Gao, Yan, Jia, Ran, Chen, Xu, Han, Shi, Yuan, Zejian, Zhang, Dongmei
Tabular data analysis is crucial in various fields, and large language models show promise in this area. However, current research mostly focuses on rudimentary tasks like Text2SQL and TableQA, neglecting advanced analysis like forecasting and chart
Externí odkaz:
http://arxiv.org/abs/2312.13671
Resource allocation is of crucial importance in wireless communications. However, it is extremely challenging to design efficient resource allocation schemes for future wireless communication networks since the formulated resource allocation problems
Externí odkaz:
http://arxiv.org/abs/2308.11402
Due to inappropriate sample selection and limited training data, a distribution shift often exists between the training and test sets. This shift can adversely affect the test performance of Graph Neural Networks (GNNs). Existing approaches mitigate
Externí odkaz:
http://arxiv.org/abs/2308.09259
Unmanned aerial vehicle (UAV) communication is of crucial importance for diverse practical applications. However, it is susceptible to the severe spectrum scarcity problem and interference since it operates in the unlicensed spectrum band. In order t
Externí odkaz:
http://arxiv.org/abs/2308.02332
Autor:
Ding, Rui
In this paper, we show that the halfspace depth random variable for samples from a univariate distribution with a notion of center is distributed as a uniform distribution on the interval [0,1/2]. The simplicial depth random variable has a distributi
Externí odkaz:
http://arxiv.org/abs/2304.13091