Yue Wang

Dr. Yue Wang

School of Data Science and Information Engineering, Guizhou Minzu University, Guizhou, China
+1
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 May 2020 in Applicable Analysis
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Journal Article
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Yue WangYue Wang
Yue Wang
XYXun Yang
Xun Yang
In this article, we consider the following new Kirchhoff-type problem: −a−b∫Ω|∇u|2dxΔu=|u|p−2,in Ω,u=0,on ∂Ω, where a and b are positive constants, Ω⊂RN is a bounded domain with C1 boundary ∂Ω, p∈[2,2∗) with 2∗=2N/(N−2) if N≥3, and 2∗=+∞ if N = 1, 2. We show that the problem possesses infinitely many sign-changing solutions by using combination of invariant sets of descent flow and the Ljusternik–Schnirelman type minimax method. And an example for p = 2 is illustrated our results.

11 April 2024 in Axioms
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Journal Article
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XYXun Yang
Xun Yang
SXShuwen Xiang
Shuwen Xiang
CPChai Peng
Chai Peng
WTWeijie Tan
Weijie Tan
Yue WangYue Wang
Yue Wang
HDHongfa Ding
Hongfa Ding
The distributed training of federated machine learning, referred to as federated learning (FL), is discussed in models by multiple participants using local data without compromising data privacy and violating laws. In this paper, we consider the training of federated machine models with uncertain participation attitudes and uncertain benefits of each federated participant, and to encourage all participants to train the desired FL models, we design a fuzzy Shapley value incentive mechanism with supervision. In this incentive mechanism, if the supervision of the supervised mechanism detects that the payoffs of a federated participant reach a value that satisfies the Pareto optimality condition, the federated participant receives a distribution of federated payoffs. The results of numerical experiments demonstrate that the mechanism successfully achieves a fair and Pareto optimal distribution of payoffs. The contradiction between fairness and Pareto-efficient optimization is solved by introducing a supervised mechanism.

1 January 2023 in Axioms
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Yue WangYue Wang
Yue Wang
WWWei Wei
Wei Wei
YZYing Zhou
Ying Zhou
This paper establishes the existence of unique and multiple solutions to two nonlocal equations with fractional operators. The main results are obtained using the variational method and algebraic analysis. The conclusion is that there exists a constant λ*>0 such that the equations have only three, two, and one solution, respectively, for λ∈(0,λ*), λ=λ*, and λ>λ*. The main conclusions fill the gap in the knowledge of this kind of fractional-order problem.

24 August 2024 in Chaos, Solitons & Fractals
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Journal Article
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Yue WangYue Wang
Yue Wang
WWWei Wei
Wei Wei

7 March 2024 in Qualitative Theory of Dynamical Systems
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Yue WangYue Wang
Yue Wang

1 January 2023 in Open Mathematics
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Journal Article
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Yue WangYue Wang
Yue Wang
WWWei Wei
Wei Wei
ZXZong-Hong Xiong
Zong-Hong Xiong
JYJian Yang
Jian Yang
In this article, we consider a nonlocal problem with a strong singular term and a general weight function. By using Ekeland’s variational principle, we prove a necessary and sufficient condition for the existence of a positive solution. Moreover, a method of algebraic analysis is used to deal with the multiplicity of solutions. Compared with the existing literature, our problems and results are novel.