Xun Lang
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View article: High-frequency quantitative ultrasound in characterizing human skin aging: an exploration of the non-modeling and modeling approaches
High-frequency quantitative ultrasound in characterizing human skin aging: an exploration of the non-modeling and modeling approaches Open
This characterization framework, especially the modeling of the Nakagami parameter m, has great feasibility for the characterization of human skin aging. The proposed framework holds significant potential for assessing the efficacy …
View article: [A lightweight convolutional neural network for myositis classification from muscle ultrasound images].
[A lightweight convolutional neural network for myositis classification from muscle ultrasound images]. Open
Existing classification methods for myositis ultrasound images have problems of poor classification performance or high computational cost. Motivated by this difficulty, a lightweight neural network based on a soft threshold attention mech…
View article: A novel NMF-DiCCA deep learning method and its application in wind turbine blade icing failure identification
A novel NMF-DiCCA deep learning method and its application in wind turbine blade icing failure identification Open
Wind turbine blade icing data has the characteristics of multi-source and multi variable. It is difficult to characterize and identify the icing failure with multi-scale features. In this paper, a novel Non-negative Matrix Factorization-Dy…
View article: Facial Wrinkle Detection Based on DeepLabV3+ and Semi-Automatic Labelling Strategy
Facial Wrinkle Detection Based on DeepLabV3+ and Semi-Automatic Labelling Strategy Open
Facial skin wrinkles are positively correlated with physiological age and are an important feature of aging. The traditional wrinkle detection algorithms are influenced by facial features and image backgrounds, thus cannot distinguish hair…
View article: Local Pulse Wave Velocity Estimation Based on Incident Waves Using Coherent Plane Wave Compounding Ultrasound
Local Pulse Wave Velocity Estimation Based on Incident Waves Using Coherent Plane Wave Compounding Ultrasound Open
View article: Classification of Red Blood Cell Aggregation Based on Ultrasonic Radiofrequency Echo Signals of Blood Using Multilinear Sequential Attention Network
Classification of Red Blood Cell Aggregation Based on Ultrasonic Radiofrequency Echo Signals of Blood Using Multilinear Sequential Attention Network Open
View article: ICICML 2023 TOC
ICICML 2023 TOC Open
Two-stage image inpainting method based on transformer and Fast Fourier convolution
View article: Author response for "Distributed process monitoring for large‐scale processes based on MJMI‐weighted DKPCA"
Author response for "Distributed process monitoring for large‐scale processes based on MJMI‐weighted DKPCA" Open
View article: Hierarchical classification method of electricity consumption industries through TNPE and Bayes
Hierarchical classification method of electricity consumption industries through TNPE and Bayes Open
As the multi-daily electricity consumption behaviors have the strong characteristics of dynamicity, nonlinearity and locality caused by temporal manifold structure, the existing methods are difficult to fine-grained and accurately classify…
View article: Denoising of Industrial Oscillation Data Using EEMD with CCA
Denoising of Industrial Oscillation Data Using EEMD with CCA Open
Industrial oscillation recordings are often contaminated with random noise, process disturbances and underlying nonstationarity, which obscure the useful information of the signal and complicate subsequent oscillation detection and diagnos…
View article: Brain Medical Image Fusion Using <i>L2</i>-Norm-Based Features and Fuzzy-Weighted Measurements in 2-D Littlewood–Paley EWT Domain
Brain Medical Image Fusion Using <i>L2</i>-Norm-Based Features and Fuzzy-Weighted Measurements in 2-D Littlewood–Paley EWT Domain Open
Computational imaging provides comprehensive and reliable information about human tissue for medical diagnosis and treatment, with medical image fusion as one of the most important technologies in the field. Empirical mode decomposition (E…
View article: Detecting Nonlinear Oscillations in Process Control Loop Based on an Improved VMD
Detecting Nonlinear Oscillations in Process Control Loop Based on an Improved VMD Open
A novel detector based on improved variational mode decomposition (VMD) is proposed to detect the nonlinearity-induced oscillations. Despite its high adaptivity and frequency resolution, the effectiveness of VMD highly depends on parameter…
View article: Extraction of Plant-wide Oscillations using Fast Multivariate Empirical Mode Decomposition
Extraction of Plant-wide Oscillations using Fast Multivariate Empirical Mode Decomposition Open
This paper proposes a novel time-frequency method for plant-wide oscillation analysis based on the multivariate extension of standard empirical mode decomposition (EMD). The raised fast multivariate empirical mode decomposition (FMEMD) is …
View article: Fast Multivariate Empirical Mode Decomposition
Fast Multivariate Empirical Mode Decomposition Open
The multivariate empirical mode decomposition (MEMD) has been pioneered recently for adaptively processing of multichannel data. Despite its high efficiency on time-frequency analysis of nonlinear and nonstationary signals, high computatio…