Yufeng Nie
YOU?
Author Swipe
View article: Bayesian Model Averaging with Diffused Priors for Model-Based Clustering Under a Cluster Forests Architecture
Bayesian Model Averaging with Diffused Priors for Model-Based Clustering Under a Cluster Forests Architecture Open
This paper considers a class of generative graphical models for parsimonious modeling of Gaussian mixtures and robust unsupervised learning, each assuming that the data are generated independently and identically from a finite mixture mode…
View article: Improving English-Chinese translation using the Kolmogorov-Arnold Transformer
Improving English-Chinese translation using the Kolmogorov-Arnold Transformer Open
Machine translation is an important part of natural language processing, helping people communicate across languages, localise content, and search for information in different languages. In this article, we introduce a new framework using …
View article: A Spectral Localization Method for Time-Fractional Integro-Differential Equations with Nonsmooth Data
A Spectral Localization Method for Time-Fractional Integro-Differential Equations with Nonsmooth Data Open
In this work, we develop a localized numerical scheme with low regularity requirements for solving time-fractional integro-differential equations. First, a fully discrete numerical scheme is constructed. Specifically, for temporal discreti…
View article: DynPipe: Toward Dynamic End-to-End Pipeline Parallelism for Interference-Aware DNN Training
DynPipe: Toward Dynamic End-to-End Pipeline Parallelism for Interference-Aware DNN Training Open
View article: Using agent-based modelling to explore the impact of social events, labour dynamics, and human factors on food production: apple harvesting as a case study
Using agent-based modelling to explore the impact of social events, labour dynamics, and human factors on food production: apple harvesting as a case study Open
Food production systems are shaped by external factors, such as social events and economic shifts, which influence and are influenced by labour dynamics—e.g., workforce availability—and human factors—e.g., worker skills. Using a systems ap…
View article: Heat transfer analysis of magnetized fluid flow induced by the tips of motile complex wavy cilia in a curved passage
Heat transfer analysis of magnetized fluid flow induced by the tips of motile complex wavy cilia in a curved passage Open
View article: Native language identification from text using a fine-tuned GPT-2 model
Native language identification from text using a fine-tuned GPT-2 model Open
Native language identification (NLI) is a critical task in computational linguistics, supporting applications such as personalized language learning, forensic analysis, and machine translation. This study investigates the use of a fine-tun…
View article: Automated essay scoring with SBERT embeddings and LSTM-Attention networks
Automated essay scoring with SBERT embeddings and LSTM-Attention networks Open
Automated essay scoring (AES) is essential in the field of educational technology, providing rapid and accurate evaluations of student writing. This study presents an innovative AES method that integrates Sentence-BERT (SBERT) with Long Sh…
View article: Higher-order multiscale method and its convergence analysis for nonlinear thermo-electric coupling problems of composite structures
Higher-order multiscale method and its convergence analysis for nonlinear thermo-electric coupling problems of composite structures Open
This paper proposes a higher-order multiscale computational method for nonlinear thermo-electric coupling problems of composite structures, which possess temperature-dependent material properties and nonlinear Joule heating. The innovative…
View article: Lyapunov-based analysis and worm extinction in wireless networks using stochastic SVEIR model
Lyapunov-based analysis and worm extinction in wireless networks using stochastic SVEIR model Open
In this study, we present a novel stochastic SVEIR (Susceptible–Vaccinated–Exposed–Infectious–Recovered) model specifically designed to analyze worm propagation in wireless sensor networks (WSNs) influenced by both white and Lévy noises, a…
View article: Matched pairs of actions on the Kac-Paljutkin algebra $H_8$
Matched pairs of actions on the Kac-Paljutkin algebra $H_8$ Open
The notion of matched pair of actions on a Hopf algebra generalizes the braided group construction of Lu, Yan and Zhu, and efficiently provides Yang-Baxter operators. In this paper, we classify matched pairs of actions on the Kac-Paljutkin…
View article: SO-PIFRaNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations
SO-PIFRaNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations Open
View article: GENERAL CONFORMABLE FRACTIONAL DOUBLE LAPLACE-SUMUDU TRANSFORM AND ITS APPLICATION
GENERAL CONFORMABLE FRACTIONAL DOUBLE LAPLACE-SUMUDU TRANSFORM AND ITS APPLICATION Open
View article: A wavelet-neural network method for efficient and high-accuracy prediction of thermal responses in random composite materials
A wavelet-neural network method for efficient and high-accuracy prediction of thermal responses in random composite materials Open
View article: The HSS splitting hierarchical identification algorithms for solving the Sylvester matrix equation
The HSS splitting hierarchical identification algorithms for solving the Sylvester matrix equation Open
By combining the hierarchical identification principle with HSS splitting, we presented the HSS splitting hierarchical identification algorithm for solving the Sylvester matrix equation in this paper. To enhance the convergence rate of the…
View article: Optimizing heat and mass transfer in Carreau nanofluid with mixed nanoparticles in porous media using explicit finite difference method
Optimizing heat and mass transfer in Carreau nanofluid with mixed nanoparticles in porous media using explicit finite difference method Open
Purpose:: This study investigates the effects of hybrid nanoparticles on thermal performance, focusing on convection, magnetic fields, diffusion, radiation, and chemical reactions in porous media. An H2O-based fractional Carreau hybrid nan…
View article: A stochastic hepatitis B model with media coverage and Lévy noise
A stochastic hepatitis B model with media coverage and Lévy noise Open
Globally, it is evident that vaccination and social media significantly influence the spread of diseases. Research has demonstrated that the spread of diseases can be affected by unforeseen events. Therefore, a stochastic hepatitis B virus…
View article: Stochastic Optimal Control Analysis for HBV Epidemic Model with Vaccination
Stochastic Optimal Control Analysis for HBV Epidemic Model with Vaccination Open
In this study, we explore the concept of symmetry as it applies to the dynamics of the Hepatitis B Virus (HBV) epidemic model. By incorporating symmetric principles in the stochastic model, we ensure that the control strategies derived are…
View article: Dynamics of Hepatitis B Virus Transmission with a Lévy Process and Vaccination Effects
Dynamics of Hepatitis B Virus Transmission with a Lévy Process and Vaccination Effects Open
This work proposes a novel stochastic model describing the propagation dynamics of the hepatitis B virus. The model takes into account numerous disease characteristics, and environmental disturbances were collected using Lévy jumps and the…
View article: Exploring the role of nanoparticles in enhancing thermal performance of fractional Carreau fluid flow under magnetic field and hall current
Exploring the role of nanoparticles in enhancing thermal performance of fractional Carreau fluid flow under magnetic field and hall current Open
Nanofluids garner significant scientific interest due to their exceptional heat-conducting abilities and potential to enhance heat transfer efficiency. This manuscript investigates the behavior of a two-dimensional fractional Carreau fluid…
View article: Enhancing GRACE-FO Gravity Field Solutions: A Comparative Assessment and Novel Combination of ACT Products
Enhancing GRACE-FO Gravity Field Solutions: A Comparative Assessment and Novel Combination of ACT Products Open
The performance degradation of one onboard accelerometer of the GRACE-FO mission presents a significant challenge to the scientific community. This issue has been largely mitigated by transplanting data from the other fully functional acce…
View article: Stochastic optimal control analysis for HBV epidemic model with vaccination
Stochastic optimal control analysis for HBV epidemic model with vaccination Open
Several classes are discussed in this paper, including susceptibles, vaccinates, acutes, chronics, hospitalized, and recovered. In terms of dynamic behaviour, the model provides a substantial description of Hepatitis B. Hepatitis B transmi…
View article: Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C
Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C Open
In this paper, combining the precondition technique and momentum item with the gradient-based iteration algorithm, two accelerated iteration algorithms are presented for solving the Sylvester matrix equation $ AX+XB = C $. Sufficient condi…
View article: Higher-Order Multi-Scale Randomized Neural Network (Homs-Rnn) Method for Efficient and High-Accuracy Heat Conduction Simulation of Composite Materials
Higher-Order Multi-Scale Randomized Neural Network (Homs-Rnn) Method for Efficient and High-Accuracy Heat Conduction Simulation of Composite Materials Open
View article: Peristaltic Heat Transport Over an Inclined Porous Ciliated Duct Under the Influence of Magnetic Field and Thermal Thermal Effects
Peristaltic Heat Transport Over an Inclined Porous Ciliated Duct Under the Influence of Magnetic Field and Thermal Thermal Effects Open
View article: Higher-Order Multi-Scale Randomized Neural Network (Homs-Rnn) Method for High-Accuracy and Efficient Heat Conduction Simulation of Composite Materials
Higher-Order Multi-Scale Randomized Neural Network (Homs-Rnn) Method for High-Accuracy and Efficient Heat Conduction Simulation of Composite Materials Open
View article: Mixed Virtual Element Methods for the Poro-Elastodynamics Model on Polygonal Grids
Mixed Virtual Element Methods for the Poro-Elastodynamics Model on Polygonal Grids Open
View article: Higher-order multi-scale method for high-accuracy nonlinear thermo-mechanical simulation of heterogeneous shells
Higher-order multi-scale method for high-accuracy nonlinear thermo-mechanical simulation of heterogeneous shells Open
In the present work, we consider multi-scale computation and convergence for nonlinear time-dependent thermo-mechanical equations of inhomogeneous shells possessing temperature-dependent material properties and orthogonal periodic configur…
View article: Higher-order multi-scale deep Ritz method for multi-scale problems of authentic composite materials
Higher-order multi-scale deep Ritz method for multi-scale problems of authentic composite materials Open
The direct deep learning simulation for multi-scale problems remains a challenging issue. In this work, a novel higher-order multi-scale deep Ritz method (HOMS-DRM) is developed for thermal transfer equation of authentic composite material…
View article: Self-optimization wavelet-learning method for predicting nonlinear thermal conductivity of highly heterogeneous materials with randomly hierarchical configurations
Self-optimization wavelet-learning method for predicting nonlinear thermal conductivity of highly heterogeneous materials with randomly hierarchical configurations Open
In the present work, we propose a self-optimization wavelet-learning method (SO-W-LM) with high accuracy and efficiency to compute the equivalent nonlinear thermal conductivity of highly heterogeneous materials with randomly hierarchical c…