Zhifang Liao

Orcid: 0000-0002-5525-904X

According to our database1, Zhifang Liao authored at least 75 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Classification of open source software bug report based on transfer learning.
Expert Syst. J. Knowl. Eng., May, 2024

Medical image classification: Knowledge transfer via residual U-Net and vision transformer-based teacher-student model with knowledge distillation.
J. Vis. Commun. Image Represent., 2024

Self-Admitted Technical Debts Identification: How Far Are We?
Proceedings of the IEEE International Conference on Software Analysis, 2024

Growing with the Help of Multiple Teachers: Lightweight and Noise-Resistant Student Model for Medical Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

RMIB: Representation Matching Information Bottleneck for Matching Text Representations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Short-Term Blood Glucose Prediction Method Based on Signal Decomposition and Bidirectional Networks.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Placental MRI segmentation based on multi-receptive field and mixed attention separation mechanism.
Comput. Methods Programs Biomed., December, 2023

HViT: Hybrid vision inspired transformer for the assessment of carotid artery plaque by addressing the cross-modality domain adaptation problem in MRI.
Comput. Medical Imaging Graph., October, 2023

End to end vision transformer architecture for brain stroke assessment based on multi-slice classification and localization using computed tomography.
Comput. Medical Imaging Graph., October, 2023

STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information.
Biomed. Signal Process. Control., July, 2023

BDGOA: A bot detection approach for GitHub OAuth Apps.
Intell. Converged Networks, 2023

Blockchain-based mobile crowdsourcing model with task security and task assignment.
Expert Syst. Appl., 2023

HSPM: A Better Model to Effectively Preventing Open-Source Projects from Dying.
Comput. Syst. Sci. Eng., 2023

Knowledge Distillation of Attention and Residual U-Net: Transfer from Deep to Shallow Models for Medical Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
Unsupervised domain adaptive myocardial infarction MRI classification diagnostics model based on target domain confused sample resampling.
Comput. Methods Programs Biomed., 2022

VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants.
Comput. Methods Programs Biomed., 2022

DE-MRI myocardial fibrosis segmentation and classification model based on multi-scale self-supervision and transformer.
Comput. Methods Programs Biomed., 2022

Classification of myocardial fibrosis in DE-MRI based on semi-supervised semantic segmentation and dual attention mechanism.
Comput. Methods Programs Biomed., 2022

2021
NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrieval.
Knowl. Based Syst., 2021

Multiple Wavelet Convolutional Neural Network for Short-Term Load Forecasting.
IEEE Internet Things J., 2021

GRBMC: An effective crowdsourcing recommendation for workers groups.
Expert Syst. Appl., 2021

Short-term load forecasting with dense average network.
Expert Syst. Appl., 2021

The Measurement of the Software Ecosystem's Productivity with GitHub.
Comput. Syst. Sci. Eng., 2021

SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD.
Comput. Biol. Medicine, 2021

CMF Net: Detecting Objects in Infrared Traffic Image with Combination of Multiscale Features.
Proceedings of the IEEE Global Communications Conference, 2021

Detecting Duplicate Questions in Stack Overflow via Semantic and Relevance Approaches.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020
How to Evaluate the Productivity of Software Ecosystem: A Case Study in GitHub.
Sci. Program., 2020

How to Construct a Power Knowledge Graph with Dispatching Data?
Sci. Program., 2020

Core-reviewer recommendation based on Pull Request topic model and collaborator social network.
Soft Comput., 2020

Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search.
Neurocomputing, 2020

A Novel Method to Rank Influential Nodes in Complex Networks Based on Tsallis Entropy.
Entropy, 2020

A spam worker detection approach based on heterogeneous network embedding in crowdsourcing platforms.
Comput. Networks, 2020

WLeidenRDF: RDF Data Query Method based on Semantic-Enhanced Graph-Clustering Algorithm.
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2020

How to Construct Software Knowledge Graph: A Case Study.
Proceedings of the 2020 IEEE World Congress on Services, 2020

ServeNet: A Deep Neural Network for Web Services Classification.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Image Super Resolution Reconstructed By Coupling Dictionary And Clustered Image Blocks.
Proceedings of the ICVIP 2020: The 4th International Conference on Video and Image Processing, 2020

2019
Healthy or Not: A Way to Predict Ecosystem Health in GitHub.
Symmetry, 2019

Identification-Method Research for Open-Source Software Ecosystems.
Symmetry, 2019

A Prediction Model of the Project Life-Span in Open Source Software Ecosystem.
Mob. Networks Appl., 2019

Local Core Members Aided Community Structure Detection.
Mob. Networks Appl., 2019

Short-term Load Forecasting with Dense Average Network.
CoRR, 2019

An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm.
IEEE Access, 2019

Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China.
IEEE Access, 2019

A Recommendation of Crowdsourcing Workers Based on Multi-community Collaboration.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

TIRR: A Code Reviewer Recommendation Algorithm with Topic Model and Reviewer Influence.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Empirical Research on the Evaluation Model and Method of Sustainability of the Open Source Ecosystem.
Symmetry, 2018

非共享多测量向量的稀疏表示分类模型 (Sparse Representation Classification Model Based on Non-shared Multiple Measurement Vectors).
计算机科学, 2018

Exploring the Characteristics of Issue-Related Behaviors in GitHub Using Visualization Techniques.
IEEE Access, 2018

Min-Forest: Fast Reachability Indexing Approach for Large-Scale Graphs on Spark Platform.
Proceedings of the Web Services - ICWS 2018, 2018

NBSL: A Supervised Classification Model of Pull Request in Github.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

User personalized label set extraction algorithm based on LDA and collaborative filtering in open source software community.
Proceedings of the 2018 International Conference on Computer, 2018

2017
Routing Optimization Algorithms Based on Node Compression in Big Data Environment.
Sci. Program., 2017

A Novel Hybrid Similarity Calculation Model.
Sci. Program., 2017

Achieve Sustainable Ultra-Dense Heterogeneous Networks for 5G.
CoRR, 2017

Achieving Sustainable Ultra-Dense Heterogeneous Networks for 5G.
IEEE Commun. Mag., 2017

Topic-Based Integrator Matching for Pull Request.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

DevRank: Mining Influential Developers in Github.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Multimedia services quality prediction based on the association mining between context and QoS properties.
Signal Process., 2016

Markov Chain-Like Model for Prediction Service Based on Improved Hierarchical Particle Swarm Optimization Cluster Algorithm.
Int. J. Softw. Eng. Knowl. Eng., 2016

2015
A semantic-enhanced trajectory visual analytics for digital forensic.
J. Vis., 2015

An efficient clustering ensemble selection algorithm.
Int. J. Auton. Adapt. Commun. Syst., 2015

An outlier mining algorithm based on approximate outlier factor.
Int. J. Auton. Adapt. Commun. Syst., 2015

2014
A collaborative visual analytics of trajectory and transaction data for digital forensics: VAST 2014 Mini-Challenge 2: Award for outstanding visualization and analysis.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

A web-based visual analytics system for air quality monitoring data.
Proceedings of the 22nd International Conference on Geoinformatics, 2014

2013
An New Algorithm on Feature Selection with L-Norm PCA.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012
Research on Geometry Modeling for Biomedical Simulation.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
A Weighted Cluster Ensemble Algorithm Based on Graph.
Proceedings of the IEEE 10th International Conference on Trust, 2011

Tensor Fold-in Algorithms for Social Tagging Prediction.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Sphere control based Delaunay refinement tetrahedralization algorithm for soft tissue.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2008
A Clustering Algorithm for Mixed Data Based on Lattice Theory.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Clustering Auto-Fluorescence Spectrogram Data for Colorectal Carcinoma.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2005
Using Agent Towards Environment Awareness.
Proceedings of The 2005 International Conference on Information and Knowledge Engineering, 2005

Research on Diagnostic System of Early Colorectal Carcinoma Based on Data Mining.
Proceedings of The 2005 International Conference on Data Mining, 2005

2003
Determining Remote System Contention States in Query Processing over the Internet .
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003


  Loading...