Guihua Wen
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Author Swipe
View article: A Focus on Important Samples for Out-of-Distribution Detection
A Focus on Important Samples for Out-of-Distribution Detection Open
To ensure the reliability and security of machine learning classification models when deployed in the open world, it is crucial that these models can detect out-of-distribution (OOD) data that exhibits semantic shifts from the in-distribut…
View article: Effect of Non-Pharmaceutical Therapies on Sleep Quality in Individuals with Substance Abuse: Protocol for a Systematic Review and Network Meta-Analysis
Effect of Non-Pharmaceutical Therapies on Sleep Quality in Individuals with Substance Abuse: Protocol for a Systematic Review and Network Meta-Analysis Open
Background The main objective of this review is to assess the effects of non-pharmaceutical therapies such as cognitive-behavioral therapies, sleep hygiene and behavioral therapies, exercise, and complementary and alternative medicine (CAM…
View article: Curriculum-Guided Contrastive Self-Supervised Learning Approach for Rare Disease Recognition in Dermatoscopic and Clinical Skin Imaging
Curriculum-Guided Contrastive Self-Supervised Learning Approach for Rare Disease Recognition in Dermatoscopic and Clinical Skin Imaging Open
View article: Research on automatic segmentation and recognition of single characters in original rubbings based on intelligent recognition of oracle bone inscriptions
Research on automatic segmentation and recognition of single characters in original rubbings based on intelligent recognition of oracle bone inscriptions Open
This paper proposes an effective segmentation and recognition method using YOLOv8 to solve the problem of segmentation and recognition of Oracle rubbings images. Draw sub-pixel edge contours through spot detection, corner detection, and ed…
View article: From Table to Image: Boosting Credit Risk Prediction via Transfer MLP-like Network on Structured Data
From Table to Image: Boosting Credit Risk Prediction via Transfer MLP-like Network on Structured Data Open
At present, deep learning has limited application in the field of financial credit risk because deep learning is good at processing unstructured data such as images, voice, and text, while the credit risk field processes structured tabular…
View article: Interpretable Tongue Constitution Recognition via Reshaped Wavelet Attention
Interpretable Tongue Constitution Recognition via Reshaped Wavelet Attention Open
Currently deep neural networks have been used to perform the tongue constitution recognition, but they are still challenged, failing to extract nice multi-scale and multi-level features. This paper proposes a novel interpretable tongue con…
View article: Learning Cognitive Features as Complementary for Facial Expression Recognition
Learning Cognitive Features as Complementary for Facial Expression Recognition Open
Facial expression recognition (FER) has a wide range of applications, including interactive gaming, healthcare, security, and human‐computer interaction systems. Despite the impressive performance of FER based on deep learning methods, it …
View article: Duck swarm algorithm: theory, numerical optimization, and applications
Duck swarm algorithm: theory, numerical optimization, and applications Open
A swarm intelligence-based optimization algorithm, named Duck Swarm Algorithm (DSA), is proposed in this study. This algorithm is inspired by the searching for food sources and foraging behaviors of the duck swarm. The performance of the D…
View article: Learning features from irrelevant domains through deep neural network
Learning features from irrelevant domains through deep neural network Open
Features of data are much critical to the classification. However, when only small data are available, suitable features can not be easily obtained, easily leading to the bad classification performance. This paper propose a novel approach …
View article: Intelligent personalized diagnosis modeling in advanced medical system for Parkinson's disease using voice signals
Intelligent personalized diagnosis modeling in advanced medical system for Parkinson's disease using voice signals Open
Currently, machine learning methods have been utilized to realize the early detection of Parkinson's disease (PD) by using voice signals. Because the vocal system of each person is unique, and the same person's pronunciation can be differ…
View article: Multimodal and Multitask Learning with Additive Angular Penalty Focus Loss for Speech Emotion Recognition
Multimodal and Multitask Learning with Additive Angular Penalty Focus Loss for Speech Emotion Recognition Open
Speech emotion recognition has lots of applications such as human‐computer interaction and health management. The current methods are challenged with the problems of fuzzy decision boundary and imbalance between difficult and easy samples …
View article: Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial
Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial Open
Introduction Insomnia affects physical and mental health due to the lack of continuous and complete sleep architecture. Polysomnograms (PSGs) are used to record electrical information to perform sleep architecture using deep learning. Alth…
View article: Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation Open
Unsupervised domain adaptation (UDA) aims to estimate a transferable model for unlabeled target domains by exploiting labeled source data. Optimal Transport (OT) based methods have recently been proven to be a promising solution for UDA wi…
View article: Personalized Intelligent Syndrome Differentiation Guided By TCM Consultation Philosophy
Personalized Intelligent Syndrome Differentiation Guided By TCM Consultation Philosophy Open
Traditional Chinese Medicine (TCM) is one of the oldest medical systems in the world, and inquiry is an essential part of TCM diagnosis. The development of artificial intelligence has led to the proposal of several computational TCM diagno…
View article: Duck swarm algorithm: theory, numerical optimization, and applications
Duck swarm algorithm: theory, numerical optimization, and applications Open
A swarm intelligence-based optimization algorithm, named Duck Swarm Algorithm (DSA), is proposed in this study, which is inspired by the searching for food sources and foraging behaviors of the duck swarm. Two rules are modeled from the fi…
View article: The complete chloroplast genome of <i>Arcangelisia gusanlung</i> H.S.Lo (Menispermaceae), an important traditional medicine from South China
The complete chloroplast genome of <i>Arcangelisia gusanlung</i> H.S.Lo (Menispermaceae), an important traditional medicine from South China Open
Arcangelisia gusanlung H.S.Lo is widely used as a folk medicine by the Dai and Li peoples. Here, we report the first complete chloroplast (cp) genome sequence for this species based on Illumina paired-end sequencing data. The cp gen…
View article: Inner-Imaging Networks: Put Lenses Into Convolutional Structure
Inner-Imaging Networks: Put Lenses Into Convolutional Structure Open
Despite the tremendous success in computer vision, deep convolutional networks suffer from serious computation costs and redundancies. Although previous works address this issue by enhancing diversities of filters, they have not considered…
View article: What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Open
Supervised machine learning has several drawbacks that make it difficult to use in many situations. Drawbacks include: heavy reliance on massive training data, limited generalizability and poor expressiveness of high-level semantics. Low-s…
View article: Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition
Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition Open
Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling capabilities to the ZSL task, its visual features have seve…
View article: Personalized Body Constitution Inquiry Based on Machine Learning
Personalized Body Constitution Inquiry Based on Machine Learning Open
Background. Body constitution (BC) is the abstract concept indicating the state of a person’s health in Traditional Chinese Medicine (TCM). The doctor identifies the body constitution of the patient through inspection and inquiry. Previous…
View article: Correction to: Facial expression recognition sensing the complexity of testing samples
Correction to: Facial expression recognition sensing the complexity of testing samples Open
View article: Semantic Graph-enhanced Visual Network for Zero-shot Learning
Semantic Graph-enhanced Visual Network for Zero-shot Learning Open
Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling capabilities to the ZSL task, its visual features have seve…
View article: Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition Open
Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling capabilities to the ZSL task, its visual features have seve…
View article: Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition Open
Chinese herbs play a critical role in Traditional Chinese Medicine. Due to different recognition granularity, they can be recognized accurately only by professionals with much experience. It is expected that they can be recognized automati…
View article: Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification
Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification Open
Constitution classification is the basis and core content of TCM constitution research. In order to improve the accuracy of constitution classification, this paper proposes a multilevel and multiscale features aggregation method within the…
View article: Stochastic Region Pooling: Make Attention More Expressive
Stochastic Region Pooling: Make Attention More Expressive Open
Global Average Pooling (GAP) is used by default on the channel-wise attention mechanism to extract channel descriptors. However, the simple global aggregation method of GAP is easy to make the channel descriptors have homogeneity, which we…
View article: Sample awareness-based personalized facial expression recognition
Sample awareness-based personalized facial expression recognition Open
The behavior of the current emotion classification model to recognize all test samples using the same method contradicts the cognition of human beings in the real world, who dynamically change the methods they use based on current test sam…
View article: Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features
Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features Open
Convolution neural netwotks (CNNs) are successfully applied in image recognition task. In this study, we explore the approach of automatic herbal recognition with CNNs and build the standard Chinese herbs datasets firstly. According to the…
View article: Convolutional herbal prescription building method from multi-scale facial features
Convolutional herbal prescription building method from multi-scale facial features Open
In Traditional Chinese Medicine (TCM), facial features are important basis for diagnosis and treatment. A doctor of TCM can prescribe according to a patient's physical indicators such as face, tongue, voice, symptoms, pulse. Previous works…
View article: Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Competitive Inner-Imaging Squeeze and Excitation for Residual Network Open
Residual networks, which use a residual unit to supplement the identity mappings, enable very deep convolutional architecture to operate well, however, the residual architecture has been proved to be diverse and redundant, which may leads …