Chunming Xia
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View article: CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation
CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation Open
Training data has been proven to be one of the most critical components in training generative AI. However, obtaining high-quality data remains challenging, with data privacy issues presenting a significant hurdle. To address the need for …
View article: Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation
Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation Open
Sequential recommender systems play a pivotal role in modern recommendation scenarios by capturing users’ dynamic interests through their historical interactions. While existing methods often rely on sophisticated deep models to enhance re…
View article: TCA4Rec: Contrastive Learning with Popularity-aware Asymmetric Augmentation for Robust Sequential Recommendation
TCA4Rec: Contrastive Learning with Popularity-aware Asymmetric Augmentation for Robust Sequential Recommendation Open
Sequential recommender systems play a pivotal role in modern recommendation scenarios by capturing users' dynamic interests through their historical interactions. While existing methods often rely on sophisticated deep models to enhance re…
View article: MMG-Based Motion Segmentation and Recognition of Upper Limb Rehabilitation Using the YOLOv5s-SE
MMG-Based Motion Segmentation and Recognition of Upper Limb Rehabilitation Using the YOLOv5s-SE Open
Mechanomyography (MMG) is a non-invasive technique for assessing muscle activity by measuring mechanical signals, offering high sensitivity and real-time monitoring capabilities, and it has many applications in rehabilitation training. Tra…
View article: Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace Open
Large language model (LLM) is considered a milestone towards achieving Artificial General Intelligence (AGI). With its advanced emergent capabilities, it adapt to a wide range of specific applications. Fine-tuning LLMs for various downstre…
View article: Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting Open
Chain-of-Thought (CoT) Prompting is a dominant paradigm in Large Language Models (LLMs) to enhance complex reasoning. It guides LLMs to present multi-step reasoning, rather than generating the final answer directly. However, CoT encounters…
View article: Development of an explainable machine learning model for predicting neurological deterioration in spontaneous intracerebral hemorrhage
Development of an explainable machine learning model for predicting neurological deterioration in spontaneous intracerebral hemorrhage Open
View article: Causaldifftab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation
Causaldifftab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation Open
View article: Subject or Style: Adaptive and Training-Free Mixture of LoRAs
Subject or Style: Adaptive and Training-Free Mixture of LoRAs Open
View article: Heterogeneous to Homogeneous Melting Transition Observed During a Single Process
Heterogeneous to Homogeneous Melting Transition Observed During a Single Process Open
The melting mechanism at medium heating rates is unclear, owing to the lack of accurate characterizations of structural changes in poly-directional melting conditions. Here, a particular multilayered nanostructure was selected to control t…
View article: A Novel Tensile Fracture Location of Friction Plug Welding (FPW) Joints
A Novel Tensile Fracture Location of Friction Plug Welding (FPW) Joints Open
The fracture position of a friction plug welding (FPW) joint is typically located at or near the thermo-mechanically affected zone (TMAZ). Here, we found that microcracks in all FPW specimens initiate at the deformed plug center (DPC) zone…
View article: AQSFormer: Adaptive Query Selection Transformer for Real-Time Ship Detection from Visual Images
AQSFormer: Adaptive Query Selection Transformer for Real-Time Ship Detection from Visual Images Open
The Internet of Things (IoT) has emerged as a popular topic in both industrial and academic research. IoT devices are often equipped with rapid response capabilities to ensure seamless communication and interoperability, showing significan…
View article: Mathematical Modeling and Generating Method of Hourglass Worm Gear Hob’s Rake Face Based on a Rotating Paraboloid Surface
Mathematical Modeling and Generating Method of Hourglass Worm Gear Hob’s Rake Face Based on a Rotating Paraboloid Surface Open
The rake angles on both sides of the cutting edges of the hourglass worm gear hob significantly influence its cutting performance, which, in turn, plays a decisive role in the surface quality of the machined worm wheel. To balance the rake…
View article: LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
LoRA$^2$ : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models Open
Fine-tuning large language models (LLMs) with high parameter efficiency for downstream tasks has become a new paradigm. Low-Rank Adaptation (LoRA) significantly reduces the number of trainable parameters for fine-tuning. Although it has de…
View article: An end-to-end hand action recognition framework based on cross-time mechanomyography signals
An end-to-end hand action recognition framework based on cross-time mechanomyography signals Open
The susceptibility of mechanomyography (MMG) signals acquisition to sensor donning and doffing, and the apparent time-varying characteristics of biomedical signals collected over different periods, inevitably lead to a reduction in model r…
View article: Few-Shot Named Entity Recognition with the Integration of Spatial Features
Few-Shot Named Entity Recognition with the Integration of Spatial Features Open
The few-shot named entity recognition (NER) task aims to train a robust model in the source domain and transfer it to the target domain with very few annotated data. Currently, some approaches rely on the prototypical network for NER. Howe…
View article: Development of an Explainable Machine Learning Model for Predicting Neurological Deterioration in Spontaneous Intracerebral Hemorrhage
Development of an Explainable Machine Learning Model for Predicting Neurological Deterioration in Spontaneous Intracerebral Hemorrhage Open
View article: Mechanomyography Signal Pattern Recognition of Knee and Ankle Movements Using Swarm Intelligence Algorithm-Based Feature Selection Methods
Mechanomyography Signal Pattern Recognition of Knee and Ankle Movements Using Swarm Intelligence Algorithm-Based Feature Selection Methods Open
Pattern recognition of lower-limb movements based on mechanomyography (MMG) signals has a certain application value in the study of wearable rehabilitation-training devices. In this paper, MMG feature selection methods based on a chameleon…
View article: Wall Shear Stress Measurement in Carotid Artery Phantoms with Variation in Degree of Stenosis Using Plane Wave Vector Doppler
Wall Shear Stress Measurement in Carotid Artery Phantoms with Variation in Degree of Stenosis Using Plane Wave Vector Doppler Open
Wall shear stress (WSS) plays an important role in the formation, growth, and rupture of atherosclerotic plaques in arteries. This study measured WSS in diseased carotid artery phantoms with degrees of stenosis varying from 0 to 60% with b…
View article: Comparison of Swarm Intelligence Algorithms Optimized Classification Algorithms For Mechanomyography-Based Hand Movements Recognition
Comparison of Swarm Intelligence Algorithms Optimized Classification Algorithms For Mechanomyography-Based Hand Movements Recognition Open
View article: Pattern Recognition Of Hand Movements Based on Multi-Channel Mechanomyography In The Condition of One-Time Collection and Sensors Doffing and Donning
Pattern Recognition Of Hand Movements Based on Multi-Channel Mechanomyography In The Condition of One-Time Collection and Sensors Doffing and Donning Open
View article: Research on Incremental Learning of Upper Limb Action Pattern Recognition Based on Mechanomyography
Research on Incremental Learning of Upper Limb Action Pattern Recognition Based on Mechanomyography Open
View article: Analysis of tight oil accumulation conditions and prediction of sweet spots in Ordos Basin: A case study
Analysis of tight oil accumulation conditions and prediction of sweet spots in Ordos Basin: A case study Open
View article: Committees
Committees Open
View article: Ultrasound-guided Needle nerve contact positions detection in Regional Anaesthesia using Needle tip force and Opening injection pressure
Ultrasound-guided Needle nerve contact positions detection in Regional Anaesthesia using Needle tip force and Opening injection pressure Open
Ultrasound imaging guidance has been widely used in peripheral nerve block to guide the anaesthetist to insert the needle and observe injection fluid diffusion. However, needle-nerve contact(NNC) positions visualization is difficult to ach…
View article: Estimation of triceps muscle strength based on Mechanomyography
Estimation of triceps muscle strength based on Mechanomyography Open
The aim of this study is to establish a reliable and widely applicable muscle strength (MS) estimation model based on the Mechanomyography (MMG). Seven healthy male volunteers were recruited to collect MMG and MS during the isometric contr…
View article: Needle-tissue interaction force study during simulated regional anaesthesia
Needle-tissue interaction force study during simulated regional anaesthesia Open
Needle insertion usually performed with the aid of an Ultrasound (US) image in the regional anaesthesia. Getting the position of the needle tip from US requires the technical expertise and skilled anaesthetist. To detect where the needle t…
View article: Research on GA-SVM Based Head-Motion Classification via Mechanomyography Feature Analysis
Research on GA-SVM Based Head-Motion Classification via Mechanomyography Feature Analysis Open
This study investigated classification of six types of head motions using mechanomyography (MMG) signals. An unequal segmenting algorithm was adopted to segment the MMG signals generated by head motions. Three types of features (time domai…
View article: A Wearable Combined Wrist Pulse Measurement System Using Airbags for Pressurization
A Wearable Combined Wrist Pulse Measurement System Using Airbags for Pressurization Open
The pulse measurement instrument is based on traditional Chinese medicine (TCM) and is used to collect the pulse of patients to assist in diagnosis and treatment. In the existing pulse measurement system, desktop devices have large volumes…
View article: Extraction of Tongue Crack Based on Gray Level and Texture
Extraction of Tongue Crack Based on Gray Level and Texture Open
Tongue diagnosis is one of the most important content of Traditional Chinese Medicine (TCM). While the tongue crack is an important index of tongue diagnosis, there are just a few existing researches of tongue crack extraction and the resu…