b'Yue Liu'

research

∙ 08/21/2023

Large Language Models for Software Engineering: A Systematic Literature Review

Large Language Models (LLMs) have significantly impacted numerous domain...

0 Xinyi Hou, et al. ∙

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 ...

0 Kai Sun, et al. ∙

research

∙ 08/17/2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Benefiting from the strong view-consistent information mining capacity, ...

0 Xihong Yang, et al. ∙

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...

0 Jifeng Shen, et al. ∙

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...

0 Yue Liu, et al. ∙

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...

0 Yue Liu, et al. ∙

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...

0 Boming Xia, et al. ∙

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...

0 Zhisheng Wang, et al. ∙

research

∙ 05/25/2023

Distributed Trust Through the Lens of Software Architecture

Distributed trust is a nebulous concept that has evolved from different ...

0 Sin Kit Lo, et al. ∙

research

∙ 05/16/2023

QB4AIRA: A Question Bank for AI Risk Assessment

The rapid advancement of Artificial Intelligence (AI), exemplified by Ch...

0 Sung Une Lee, et al. ∙

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...

0 Haiyi Mao, et al. ∙

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...

0 Yue Liu, et al. ∙

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...

0 Yue Liu, et al. ∙

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...

0 Zhenxing Cheng, et al. ∙

research

∙ 01/27/2023

A Survey on AI Risk Assessment Frameworks

The rapid development of artificial intelligence (AI) has led to increas...

0 Boming Xia, et al. ∙

research

∙ 01/13/2023

Maximum Likelihood Estimation for Maximal Distribution under Sublinear Expectation

Maximum likelihood estimation is a common method of estimating the param...

0 Xinpeng Li, et al. ∙

research

∙ 01/03/2023

Decentralized Gradient Tracking with Local Steps

Gradient tracking (GT) is an algorithm designed for solving decentralize...

0 Yue Liu, et al. ∙

research

∙ 01/03/2023

Cluster-guided Contrastive Graph Clustering Network

Benefiting from the intrinsic supervision information exploitation capab...

0 Xihong Yang, et al. ∙

research

∙ 12/28/2022

Swin MAE: Masked Autoencoders for Small Datasets

The development of deep learning models in medical image analysis is maj...

17 Zi'an Xu, et al. ∙

research

∙ 12/16/2022

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Contrastive deep graph clustering, which aims to divide nodes into disjo...

0 Yue Liu, et al. ∙

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...

0 Yufei Xie, et al. ∙

research

∙ 12/07/2022

Contrastive Deep Graph Clustering with Learnable Augmentation

Graph contrastive learning is an important method for deep graph cluster...

0 Xihong Yang, et al. ∙

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...

0 Jingcan Duan, et al. ∙

research

∙ 11/19/2022

Relational Symmetry based Knowledge Graph Contrastive Learning

Knowledge graph embedding (KGE) aims to learn powerful representations t...

0 Ke Liang, et al. ∙

research

∙ 11/09/2022

BGRA: A Reference Architecture for Blockchain Governance

Blockchain technology has been integrated into diverse software applicat...

0 Yue Liu, et al. ∙

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....

0 Yonghui Liu, et al. ∙

research

∙ 09/15/2022

AutoUpdate: Automatically Recommend Code Updates for Android Apps

Android developers frequently update source code to improve the performa...

0 Yue Liu, et al. ∙

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...

7 Yue Liu, et al. ∙

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...

0 Yue Liu, et al. ∙

research

∙ 08/10/2022

PatchDropout: Economizing Vision Transformers Using Patch Dropout

Vision transformers have demonstrated the potential to outperform CNNs i...

11 Yue Liu, et al. ∙

research

∙ 07/25/2022

Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction

Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...

6 Huaying Hao, et al. ∙

research

∙ 07/13/2022

Multiple Kernel Clustering with Dual Noise Minimization

Clustering is a representative unsupervised method widely applied in mul...

33 Junpu Zhang, et al. ∙

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...

9 Zhuangyan Fang, et al. ∙

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...

0 Bo Zhang, et al. ∙

research

∙ 06/06/2022

Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning

Graph Neural Networks (GNNs) have achieved promising performance in semi...

11 Xihong Yang, et al. ∙

research

∙ 05/11/2022

Simple Contrastive Graph Clustering

Contrastive learning has recently attracted plenty of attention in deep ...

6 Yue Liu, et al. ∙

research

∙ 04/04/2022

FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Model compression is important in federated learning (FL) with large mod...

6 Shengyuan Hu, et al. ∙

research

∙ 03/01/2022

A Pattern Collection for Blockchain Governance

Blockchain technology has been exploited to build next-generation applic...

0 Yue Liu, et al. ∙

research

∙ 02/25/2022

Improved Dual Correlation Reduction Network

Deep graph clustering, which aims to reveal the underlying graph structu...

2 Yue Liu, et al. ∙

research

∙ 12/29/2021

Deep Graph Clustering via Dual Correlation Reduction

Deep graph clustering, which aims to reveal the underlying graph structu...

12 Yue Liu, et al. ∙

research

∙ 12/09/2021

Siamese Attribute-missing Graph Auto-encoder

Graph representation learning (GRL) on attribute-missing graphs, which i...

6 Wenxuan Tu, et al. ∙

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...

4 Moein Sorkhei, et al. ∙

research

∙ 10/26/2021

Defining Blockchain Governance Principles: A Comprehensive Framework

Blockchain eliminates the need for trusted third party intermediaries in...

0 Yue Liu, et al. ∙

research

∙ 10/12/2021

AutoNLU: Detecting, root-causing, and fixing NLU model errors

Improving the quality of Natural Language Understanding (NLU) models, an...

5 Pooja Sethi, et al. ∙

research

∙ 10/01/2021

Lagrangian Inference for Ranking Problems

We propose a novel combinatorial inference framework to conduct general ...

8 Yue Liu, et al. ∙

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)...

0 Hong-Li Zeng, et al. ∙

research

∙ 05/17/2021

Towards Demystifying Serverless Machine Learning Training

The appeal of serverless (FaaS) has triggered a growing interest on how ...

17 Jiawei Jiang, et al. ∙

research

∙ 05/12/2021

A Systematic Literature Review on Blockchain Governance

Blockchain has been increasingly used as a software component to enable ...

0 Yue Liu, et al. ∙

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...

5 Wei Wei, et al. ∙

research

∙ 03/09/2021

Deep Learning for Android Malware Defenses: a Systematic Literature Review

Malicious applications (especially in the Android platform) are a seriou...

0 Yue Liu, et al. ∙

Yue Liu

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