Yong Wang

Orcid: 0000-0002-2719-1017

Affiliations:
  • Anhui Polytechnic University, Wuhu, China
  • Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China (former)
  • Anhui Polytechnic University, School of Computer and Information, Wuhu, China (former)


According to our database1, Yong Wang authored at least 39 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering.
Mach. Vis. Appl., January, 2024

2023
Mixed structure low-rank representation for multi-view subspace clustering.
Appl. Intell., August, 2023

Application in Student Performance Prediction Using Graph Regularization Nonnegative Matrix Factorization.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

2022
An Empirical Study on Bugs in Python Interpreters.
IEEE Trans. Reliab., 2022

Emerging topic identification from app reviews via adaptive online biterm topic modeling.
Frontiers Inf. Technol. Electron. Eng., 2022

Collaborative filtering recommendation using fusing criteria against shilling attacks.
Connect. Sci., 2022

Robust low-rank representation with adaptive graph regularization from clean data.
Appl. Intell., 2022

Automating App Review Classification based on Extended Semantic.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

Adaptive Weight Structure Representation for Multi-view Subspace Clustering.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021
Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measure.
Mach. Vis. Appl., 2021

Block Diagonal Sparse Subspace Clustering.
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Influencing Factors Analysis and Evaluation for Undergraduate Programming Ability.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Automatic Test Path Generation and Prioritization using UML Activity Diagram.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2020
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint.
Neural Networks, 2020

Lightweight Fault Localization using Weighted Dynamic Control Flow Subgraph.
Int. J. Perform. Eng., 2020

Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults.
IEEE Access, 2020

2019
Spectrum-Based Fault Localization Framework to Support Fault Understanding.
IEICE Trans. Inf. Syst., 2019

2018
Matrix exponential based discriminant locality preserving projections for feature extraction.
Neural Networks, 2018

Sparse L1-norm-based linear discriminant analysis.
Multim. Tools Appl., 2018

Spectrum-Based Fault Localization Using Fault Triggering Model to Refine Fault Ranking List.
IEICE Trans. Inf. Syst., 2018

Spectrum-Based Fault Localization via Enlarging Non-Fault Region to Improve Fault Absolute Ranking.
IEEE Access, 2018

2017
υ-Support vector machine based on discriminant sparse neighborhood preserving embedding.
Pattern Anal. Appl., 2017

L1-norm based null space discriminant analysis.
Multim. Tools Appl., 2017

Lightweight fault localization combined with fault context to improve fault absolute rank.
Sci. China Inf. Sci., 2017

Evaluating Data Filter on Cross-Project Defect Prediction: Comparison and Improvements.
IEEE Access, 2017

2016
Low-Rank Matrix Factorization With Adaptive Graph Regularizer.
IEEE Trans. Image Process., 2016

L1-norm-based principal component analysis with adaptive regularization.
Pattern Recognit., 2016

L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso.
Pattern Recognit., 2016

A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension.
Neural Process. Lett., 2016

Graph Maximum Margin Criterion for Face Recognition.
Neural Process. Lett., 2016

Lightweight Fault Localization Combining with Fault-Context.
Proceedings of the International Conference on Software Analysis, Testing and Evolution, 2016

Weighted Control Flow Subgraph to Support Debugging Activities.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

2015
Incremental learning from chunk data for IDR/QR.
Image Vis. Comput., 2015

2013
Improved complete neighbourhood preserving embedding for face recognition.
IET Comput. Vis., 2013

2012
Incremental complete LDA for face recognition.
Pattern Recognit., 2012

Incremental learning of complete linear discriminant analysis for face recognition.
Knowl. Based Syst., 2012

Feature extraction using a fast null space based linear discriminant analysis algorithm.
Inf. Sci., 2012

Incremental learning of discriminant common vectors for feature extraction.
Appl. Math. Comput., 2012


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