Feng Zhou

Dr. Feng Zhou

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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1 January 2018 in Discrete and Continuous Dynamical Systems-Series B
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FZFeng Zhou
Feng Zhou
CSChunyou Sun
Chunyou Sun
XLXin Li
Xin Li
We consider the asymptotic dynamics of a damped wave equations on a time-dependent domains with homogeneous Dirichlet boundary condition, the nonlinearity is allowed to have a cubic growth rate which is referred to as the critical exponent. To this end, we establish the existence and uniqueness of strong and weak solutions satisfying energy inequality under the assumption that the spatial domains $\mathcal{O}_{t}$ in $\mathbb{R}^{3}$ are obtained from a bounded base domain $\mathcal{O}$ by a $C^{3}$-diffeomorphism $r(·, t)$. Furthermore, we establish the pullback attractor under a slightly weaker assumption that the measure of the spatial domains are uniformly bounded above.

1 January 2025 in Discrete and Continuous Dynamical Systems-Series B
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FZFeng Zhou
Feng Zhou
KZKaixuan Zhu
Kaixuan Zhu
XYXie Yonqin
Xie Yonqin
We study the long-term behavior of the non-autonomous wave equations with a new-type nonlocal weak damping and critical nonlinearity. After proving the global well-posedness, we first study the asymptotic regularity of solutions, which shows that the solutions are exponentially approaching a more regular bounded subset. Based on this regularity result, we finally obtain the existence and smoothness of uniform exponential attractors.

13 May 2024 in Bulletin of the Malaysian Mathematical Sciences Society
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FZFeng Zhou
Feng Zhou
ZSZiying Sun
Ziying Sun
KZKaixuan Zhu
Kaixuan Zhu
XMXinyu Mei
Xinyu Mei

20 June 2019 in Topological Methods in Nonlinear Analysis
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KZKaixuan Zhu
Kaixuan Zhu
XYXie Yonqin
Xie Yonqin
FZFeng Zhou
Feng Zhou
In this paper, we consider the non-autonomous reaction-diffusion equations with hereditary effects and the nonlinear term $f$ satisfying the polynomial growth of arbitrary order $p-1$ $(p\geq2)$. The delay term may be driven by a function with very weak assumptions, namely, just measurability. We extend the asymptotic \emph{a priori} estimate method (see \cite{ZYS06}) to our problem and establish a new existence theorem for the pullback attractors in $C_{L^{p}(\Omega)}$ $(p> 2)$ (see Theorem \ref{t2.5}), which generalizes the results obtained in \cite{GM14}.

1 February 2018 in Journal of Mathematical Physics
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FZFeng Zhou
Feng Zhou
CSChunyou Sun
Chunyou Sun
JCJiaqi Cheng
Jiaqi Cheng
In this article, we continue the study of the dynamics of the following complex Ginzburg-Landau equation ∂tu − (λ + iα)Δu + (κ + iβ)|u|p−2u − γu = f(t) on non-cylindrical domains. We assume that the spatial domains are bounded and increase with time, which is different from the diffeomorphism case presented in Zhou and Sun [Discrete Contin. Dyn. Syst., Ser. B 21, 3767–3792 (2016)]. We develop a new penalty function to establish the existence and uniqueness of a variational solution satisfying energy equality as well as some energy inequalities and prove the existence of a D -pullback attractor for the non-autonomous dynamical system generated by this class of solutions.

20 December 2023 in Axioms
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SMShida Ma
Shida Ma
YHYi Ming Hou
Yi Ming Hou
YSYunquan Song
Yunquan Song
FZFeng Zhou
Feng Zhou
With the widespread application of spatial data in fields like econometrics and geographic information science, the methods to enhance the robustness of spatial econometric model estimation and variable selection have become a central focus of research. In the context of the spatial error model (SEM), this paper introduces a variable selection method based on exponential square loss and the adaptive lasso penalty. Due to the non-convex and non-differentiable nature of this proposed method, convex programming is not applicable for its solution. We develop a block coordinate descent algorithm, decompose the exponential square component into the difference of two convex functions, and utilize the CCCP algorithm in combination with parabolic interpolation for optimizing problem-solving. Numerical simulations demonstrate that neglecting the spatial effects of error terms can lead to reduced accuracy in selecting zero coefficients in SEM. The proposed method demonstrates robustness even when noise is present in the observed values and when the spatial weights matrix is inaccurate. Finally, we apply the model to the Boston housing dataset.