Jianguo Huang
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View article: Adaptive Neural Network Basis Methods for Partial Differential Equations with Low-Regular Solutions
Adaptive Neural Network Basis Methods for Partial Differential Equations with Low-Regular Solutions Open
This paper aims to devise an adaptive neural network basis method for numerically solving a second-order semi-linear partial differential equation with low-regular solutions in two/three dimensions. The method is obtained by combining basi…
View article: Opinions and attitudes toward artificial intelligence among operating room nurses: a descriptive meta-analysis based on the comparative studies of the different opinions
Opinions and attitudes toward artificial intelligence among operating room nurses: a descriptive meta-analysis based on the comparative studies of the different opinions Open
Background Artificial intelligence (AI) is defined as the capability of machines to perform tasks that typically require human intelligence. Robots have major roles during surgeries as well as in the operating rooms (ORs). Therefore, it is…
View article: The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results
The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results Open
This paper reviews the 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real), held in conjunction with ICCV 2025. The workshop aimed to bridge the gap between the theoretical promise of D…
View article: Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Open
Large Language Models (LLMs) with inference-time scaling techniques show promise for code generation, yet face notable efficiency and scalability challenges. Construction-based tree-search methods suffer from rapid growth in tree size, hig…
View article: Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices Open
Federated Learning (FL) enables edge devices to collaboratively learn a global model, but it may not perform well when clients have high data heterogeneity. In this paper, we propose a dynamic clustering algorithm for personalized federate…
View article: Optimal energy-saving operation strategy of 5G base station with communication caching
Optimal energy-saving operation strategy of 5G base station with communication caching Open
View article: On understanding the effect of metal-support interactions on plasma-catalytic CO2 hydrogenation over the Ru/ZrO2 catalysts
On understanding the effect of metal-support interactions on plasma-catalytic CO2 hydrogenation over the Ru/ZrO2 catalysts Open
View article: The mechanism and control method of uneven zinc grain on hot rolled steel plate
The mechanism and control method of uneven zinc grain on hot rolled steel plate Open
There has long been a certain enterprise that leads the line products of lead and zinc, which is facing inequality problems that seriously affect economic benefits. This study uses a confocal microscope, scanning electron microscope, elect…
View article: Nanostructure-controlled Cu-doped MnO2 for ozone synergistic catalytic disinfection
Nanostructure-controlled Cu-doped MnO2 for ozone synergistic catalytic disinfection Open
The development of efficient disinfection techniques that can persistently eradicate viruses or disrupt their transmission is of paramount significance for curbing the spread of pandemics. Existing disinfection techniques commonly suffer f…
View article: An efficient numerical method for surface acoustic wave equations over unbounded domains
An efficient numerical method for surface acoustic wave equations over unbounded domains Open
Surface acoustic wave (SAW) devices are widely used in modern communication equipment and SAW equations describe the critical physical processes of acoustic-electric conversion in SAW devices. It is very challenging to numerically solve su…
View article: Exponential Integrator Fourier Galerkin Method for Semilinear Parabolic Equations
Exponential Integrator Fourier Galerkin Method for Semilinear Parabolic Equations Open
View article: Optimal Energy-Saving Operation Strategy of 5g Base Station with Communication Caching
Optimal Energy-Saving Operation Strategy of 5g Base Station with Communication Caching Open
View article: A Robust Cmcna-Pam Composite Hydrogel for Efficient 3d Solar Photothermal Evaporation
A Robust Cmcna-Pam Composite Hydrogel for Efficient 3d Solar Photothermal Evaporation Open
View article: Four colours of carbon sinks in terrestrial ecosystems
Four colours of carbon sinks in terrestrial ecosystems Open
Terrestrial ecosystems are important carbon (C) sinks that absorb 31% of anthropogenic carbon dioxide (CO2) emissions. Understanding the formation mechanisms and enhancement strategies of terrestrial carbon sinks is necessary fo…
View article: A robust $C^0$ interior penalty method for a gradient-elastic Kirchhoff plate model
A robust $C^0$ interior penalty method for a gradient-elastic Kirchhoff plate model Open
This paper is devoted to proposing and analyzing a robust $C^0$ interior penalty method for a gradient-elastic Kirchhoff plate (GEKP) model over a convex polygon. The numerical method is obtained by combining the triangular Hermite element…
View article: A $C^0$-continuous nonconforming virtual element method for linear strain gradient elasticity
A $C^0$-continuous nonconforming virtual element method for linear strain gradient elasticity Open
A robust $C^0$-continuous nonconforming virtual element method (VEM) is developed for a boundary value problem arising from strain gradient elasticity in two dimensions, with the family of polygonal meshes satisfying a very general geometr…
View article: Cu-Doped MnO2 Catalysts for Effective Fruit Preservation via Ozone Synergistic Catalytic Oxidation
Cu-Doped MnO2 Catalysts for Effective Fruit Preservation via Ozone Synergistic Catalytic Oxidation Open
Developing and implementing technologies that can significantly reduce food loss during storage and transport are of paramount importance. Ozone synergistic catalytic oxidation (OSCO) technology has been developed, which sterilizes bacteri…
View article: A Parareal exponential integrator finite element method for linear parabolic equations
A Parareal exponential integrator finite element method for linear parabolic equations Open
In this paper, for solving a class of linear parabolic equations in rectangular domains, we have proposed an efficient Parareal exponential integrator finite element method. The proposed method first uses the finite element approximation w…
View article: Exponential integrator Fourier Galerkin methods for semilinear parabolic equations
Exponential integrator Fourier Galerkin methods for semilinear parabolic equations Open
In this paper, in order to improve the spatial accuracy, the exponential integrator Fourier Galerkin method (EIFG) is proposed for solving semilinear parabolic equations in rectangular domains. In this proposed method, the spatial discreti…
View article: Adaptive neural network basis methods for partial differential equations with low-regular solutions
Adaptive neural network basis methods for partial differential equations with low-regular solutions Open
This paper aims to devise an adaptive neural network basis method for numerically solving a second-order semilinear partial differential equation (PDE) with low-regular solutions in two/three dimensions. The method is obtained by combining…
View article: An improved assessment of forest disturbance using a novel approach of combining a Gaussian mixture model with an EM algorithm
An improved assessment of forest disturbance using a novel approach of combining a Gaussian mixture model with an EM algorithm Open
Forests have experienced unprecedented decline and mortality beyond their historical range in past decades, which is attributed to disturbances like drought, fire, insects and disease. Traditional disturbance detection methods that typical…
View article: Solution-Processed Ternary Tin (II) Alloy as Hole-Transport Layer of Sn–Pb Perovskite Solar Cells for Enhanced Efficiency and Stability
Solution-Processed Ternary Tin (II) Alloy as Hole-Transport Layer of Sn–Pb Perovskite Solar Cells for Enhanced Efficiency and Stability Open
Tin–lead (Sn–Pb) narrow-bandgap (NBG) perovskites show great potential in both single-junction and all-perovskite tandem solar cells. Sn–Pb perovskite solar cells (PSCs) are still limited by low charge collection efficiency and poor stabil…
View article: Low defects density CsPbBr3single crystals grown by an additive assisted method for gamma-ray detection
Low defects density CsPbBr3single crystals grown by an additive assisted method for gamma-ray detection Open
Metal halide perovskites have arisen as a new family of semiconductors for radiation detectors due to their high stopping power, large and balanced electron-hole mobility-lifetime (μτ) product, and tunable bandgap. Here, we report a simple…
View article: Landscape of tumoral ecosystem for enhanced anti-PD-1 immunotherapy by gut Akkermansia muciniphila
Landscape of tumoral ecosystem for enhanced anti-PD-1 immunotherapy by gut Akkermansia muciniphila Open
Gut Akkermansia muciniphila (Akk) has been implicated in impacting immunotherapy or oncogenesis. This study aims to dissect the Akk-associated tumor immune ecosystem (TIME) by single-cell profiling coupled with T cell receptor (TCR) sequen…
View article: Similarity-Navigated Conformal Prediction for Graph Neural Networks
Similarity-Navigated Conformal Prediction for Graph Neural Networks Open
Graph Neural Networks have achieved remarkable accuracy in semi-supervised node classification tasks. However, these results lack reliable uncertainty estimates. Conformal prediction methods provide a theoretical guarantee for node classif…
View article: Finite element complexes in two dimensions
Finite element complexes in two dimensions Open
View article: Product selectivity controlled by the nano-environment of Ru/ZSM-5 catalysts in nonthermal plasma catalytic CO2 hydrogenation
Product selectivity controlled by the nano-environment of Ru/ZSM-5 catalysts in nonthermal plasma catalytic CO2 hydrogenation Open
Nonthermal plasma (NTP) systems combined with the supported metal catalyst is a promising method to enable CO2 valorisation under mild conditions. However, insight into the relationships between the catalyst microstructure and the catalyti…
View article: TorchCP: A Python Library for Conformal Prediction
TorchCP: A Python Library for Conformal Prediction Open
Conformal prediction (CP) is a powerful statistical framework that generates prediction intervals or sets with guaranteed coverage probability. While CP algorithms have evolved beyond traditional classifiers and regressors to sophisticated…
View article: Resolution invariant deep operator network for PDEs with complex geometries
Resolution invariant deep operator network for PDEs with complex geometries Open
Neural operators (NO) are discretization invariant deep learning methods with functional output and can approximate any continuous operator. NO have demonstrated the superiority of solving partial differential equations (PDEs) over other d…
View article: Newton's method and its hybrid with machine learning for Navier-Stokes Darcy Models discretized by mixed element methods
Newton's method and its hybrid with machine learning for Navier-Stokes Darcy Models discretized by mixed element methods Open
This paper focuses on discussing Newton's method and its hybrid with machine learning for the steady state Navier-Stokes Darcy model discretized by mixed element methods. First, a Newton iterative method is introduced for solving the relat…