research
∙
08/21/2023
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domain...
share
research
∙
08/20/2023
Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?
Since the recent prosperity of Large Language Models (LLMs), there have ...
research
∙
08/17/2023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
Benefiting from the strong view-consistent information mining capacity, ...
research
∙
08/15/2023
ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
Effective feature fusion of multispectral images plays a crucial role in...
research
∙
08/11/2023
Decentralised Governance for Foundation Model based AI Systems: Exploring the Role of Blockchain in Responsible AI
Foundation models including large language models (LLMs) are increasingl...
research
∙
07/24/2023
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues
In this paper, we systematically study the quality of 4,066 ChatGPT-gene...
research
∙
07/05/2023
Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future
Software Bill of Materials (SBOM) serves as a critical pillar in ensurin...
research
∙
05/31/2023
Analytical reconstructions of multiple source-translation computed tomography with extended field of views: a research study
This paper is to investigate the high-quality analytical reconstructions...
research
∙
05/25/2023
Distributed Trust Through the Lens of Software Architecture
Distributed trust is a nebulous concept that has evolved from different ...
research
∙
05/16/2023
QB4AIRA: A Question Bank for AI Risk Assessment
The rapid advancement of Artificial Intelligence (AI), exemplified by Ch...
research
∙
02/22/2023
Poisson Conjugate Prior for PHD Filtering based Track-Before-Detect Strategies in Radar Systems
A variety of filters with track-before-detect (TBD) strategies have been...
research
∙
02/19/2023
On the Reliability and Explainability of Automated Code Generation Approaches
Automatic code generation, the task of generating new code snippets from...
research
∙
02/09/2023
Surrogate-Assisted Federated Learning of high dimensional Electronic Health Record Data
Surrogate variables in electronic health records (EHR) play an important...
research
∙
02/06/2023
Industrial computed tomography based intelligent non-destructive testing method for power capacitor
Power capacitor device is a widely used reactive power compensation equi...
research
∙
01/27/2023
A Survey on AI Risk Assessment Frameworks
The rapid development of artificial intelligence (AI) has led to increas...
research
∙
01/13/2023
Maximum Likelihood Estimation for Maximal Distribution under Sublinear Expectation
Maximum likelihood estimation is a common method of estimating the param...
research
∙
01/03/2023
Decentralized Gradient Tracking with Local Steps
Gradient tracking (GT) is an algorithm designed for solving decentralize...
research
∙
01/03/2023
Cluster-guided Contrastive Graph Clustering Network
Benefiting from the intrinsic supervision information exploitation capab...
research
∙
12/28/2022
Swin MAE: Masked Autoencoders for Small Datasets
The development of deep learning models in medical image analysis is maj...
research
∙
12/16/2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Contrastive deep graph clustering, which aims to divide nodes into disjo...
research
∙
12/14/2022
Reform and Practice of Computer Application Technology Major Construction and Development in Higher Vocational Colleges in China – Taking Jiangxi Vocational College of Applie
This study takes the development path of computer application technology...
research
∙
12/07/2022
Contrastive Deep Graph Clustering with Learnable Augmentation
Graph contrastive learning is an important method for deep graph cluster...
research
∙
12/01/2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Graph anomaly detection (GAD) is a vital task in graph-based machine lea...
research
∙
11/19/2022
Relational Symmetry based Knowledge Graph Contrastive Learning
Knowledge graph embedding (KGE) aims to learn powerful representations t...
research
∙
11/09/2022
BGRA: A Reference Architecture for Blockchain Governance
Blockchain technology has been integrated into diverse software applicat...
research
∙
11/03/2022
A Comparative Study of Smartphone and Smart TV Apps
Context: Smart TVs have become one of the most popular television types....
research
∙
09/15/2022
AutoUpdate: Automatically Recommend Code Updates for Android Apps
Android developers frequently update source code to improve the performa...
research
∙
09/06/2022
High Dynamic Range Image Quality Assessment Based on Frequency Disparity
In this paper, a novel and effective image quality assessment (IQA) algo...
research
∙
09/02/2022
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
Machine learning (ML)-based Android malware detection has been one of th...
research
∙
08/10/2022
PatchDropout: Economizing Vision Transformers Using Patch Dropout
Vision transformers have demonstrated the potential to outperform CNNs i...
research
∙
07/25/2022
Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction
Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...
research
∙
07/13/2022
Multiple Kernel Clustering with Dual Noise Minimization
Clustering is a representative unsupervised method widely applied in mul...
research
∙
07/10/2022
On the Representation of Causal Background Knowledge and its Applications in Causal Inference
Causal background knowledge about the existence or the absence of causal...
research
∙
07/06/2022
Spatial Transformation for Image Composition via Correspondence Learning
When using cut-and-paste to acquire a composite image, the geometry inco...
research
∙
06/06/2022
Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning
Graph Neural Networks (GNNs) have achieved promising performance in semi...
research
∙
05/11/2022
Simple Contrastive Graph Clustering
Contrastive learning has recently attracted plenty of attention in deep ...
research
∙
04/04/2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Model compression is important in federated learning (FL) with large mod...
research
∙
03/01/2022
A Pattern Collection for Blockchain Governance
Blockchain technology has been exploited to build next-generation applic...
research
∙
02/25/2022
Improved Dual Correlation Reduction Network
Deep graph clustering, which aims to reveal the underlying graph structu...
research
∙
12/29/2021
Deep Graph Clustering via Dual Correlation Reduction
Deep graph clustering, which aims to reveal the underlying graph structu...
research
∙
12/09/2021
Siamese Attribute-missing Graph Auto-encoder
Graph representation learning (GRL) on attribute-missing graphs, which i...
research
∙
12/02/2021
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
Interval and large invasive breast cancers, which are associated with wo...
research
∙
10/26/2021
Defining Blockchain Governance Principles: A Comprehensive Framework
Blockchain eliminates the need for trusted third party intermediaries in...
research
∙
10/12/2021
AutoNLU: Detecting, root-causing, and fixing NLU model errors
Improving the quality of Natural Language Understanding (NLU) models, an...
research
∙
10/01/2021
Lagrangian Inference for Ranking Problems
We propose a novel combinatorial inference framework to conduct general ...
research
∙
09/07/2021
Mutation frequency time series reveal complex mixtures of clones in the world-wide SARS-CoV-2 viral population
We compute the allele frequencies of the alpha (B.1.1.7), beta (B.1.351)...
research
∙
05/17/2021
Towards Demystifying Serverless Machine Learning Training
The appeal of serverless (FaaS) has triggered a growing interest on how ...
research
∙
05/12/2021
A Systematic Literature Review on Blockchain Governance
Blockchain has been increasingly used as a software component to enable ...
research
∙
03/24/2021
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
HDR reconstruction is an important task in computer vision with many ind...
research
∙
03/09/2021
