Large Language Models (LLMs) have significantly impacted numerous domain...
Since the recent prosperity of Large Language Models (LLMs), there have ...
Benefiting from the strong view-consistent information mining capacity,
...
Effective feature fusion of multispectral images plays a crucial role in...
Foundation models including large language models (LLMs) are increasingl...
In this paper, we systematically study the quality of 4,066 ChatGPT-gene...
Software Bill of Materials (SBOM) serves as a critical pillar in ensurin...
This paper is to investigate the high-quality analytical reconstructions...
Distributed trust is a nebulous concept that has evolved from different
...
The rapid advancement of Artificial Intelligence (AI), exemplified by
Ch...
A variety of filters with track-before-detect (TBD) strategies have been...
Automatic code generation, the task of generating new code snippets from...
Surrogate variables in electronic health records (EHR) play an important...
Power capacitor device is a widely used reactive power compensation equi...
The rapid development of artificial intelligence (AI) has led to increas...
Maximum likelihood estimation is a common method of estimating the param...
Gradient tracking (GT) is an algorithm designed for solving decentralize...
Benefiting from the intrinsic supervision information exploitation
capab...
The development of deep learning models in medical image analysis is maj...
Contrastive deep graph clustering, which aims to divide nodes into disjo...
This study takes the development path of computer application technology...
Graph contrastive learning is an important method for deep graph cluster...
Graph anomaly detection (GAD) is a vital task in graph-based machine lea...
Knowledge graph embedding (KGE) aims to learn powerful representations t...
Blockchain technology has been integrated into diverse software applicat...
Context: Smart TVs have become one of the most popular television types....
Android developers frequently update source code to improve the performa...
In this paper, a novel and effective image quality assessment (IQA) algo...
Machine learning (ML)-based Android malware detection has been one of th...
Vision transformers have demonstrated the potential to outperform CNNs i...
Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...
Clustering is a representative unsupervised method widely applied in
mul...
Causal background knowledge about the existence or the absence of causal...
When using cut-and-paste to acquire a composite image, the geometry
inco...
Graph Neural Networks (GNNs) have achieved promising performance in
semi...
Contrastive learning has recently attracted plenty of attention in deep ...
Model compression is important in federated learning (FL) with large mod...
Blockchain technology has been exploited to build next-generation
applic...
Deep graph clustering, which aims to reveal the underlying graph structu...
Deep graph clustering, which aims to reveal the underlying graph structu...
Graph representation learning (GRL) on attribute-missing graphs, which i...
Interval and large invasive breast cancers, which are associated with wo...
Blockchain eliminates the need for trusted third party intermediaries in...
Improving the quality of Natural Language Understanding (NLU) models, an...
We propose a novel combinatorial inference framework to conduct general
...
We compute the allele frequencies of the alpha (B.1.1.7), beta (B.1.351)...
The appeal of serverless (FaaS) has triggered a growing interest on how ...
Blockchain has been increasingly used as a software component to enable
...
HDR reconstruction is an important task in computer vision with many
ind...
Malicious applications (especially in the Android platform) are a seriou...