Yong Wang

46 papers Journal 37Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
API Recommendation for Novice Programmers: From Clear Expressions to Effective Results.
IEEE Trans. Reliab.
Yong Wang, Shuai Meng, Yingtao Fang, Cuiyun Gao, Yourui Huang
2026 J jnl
Deep multi-view clustering based on cross-mutual information.
Inf. Sci.
Yong Wang, Yifan Zhang, Guifu Lu, Cuiyun Gao
2026 J jnl
Latent Representation-Based Multi-View Subspace Clustering: Collaborative Optimization of Resistance Constraint and Laplacian Regularization.
Expert Syst. Appl.
Lihao Yang, Yong Wang, Yourui Huang, Gui-Fu Lu, Yazhou Ren
2025 J jnl
Improving user-oriented fairness in recommendation via data augmentation: Don't worry about inactive users.
J. Syst. Softw.
Yong Wang, Huadong Zhou, Gui-Fu Lu, Cuiyun Gao, Shuai Meng
2025 J jnl
KanDMVC: KAN be used for deep multi-view clustering?
Expert Syst. Appl.
Yifan Zhang, Yong Wang, Guifu Lu, Cuiyun Gao, Lin Cui, Zizhuang Ma
2025 J jnl
Nonconvex low-rank tensor approximation with denoising model for multi-view subspace clustering.
Appl. Intell.
Yong Wang, Ao Li, Guifu Lu, Weiping Ding, Huadong Zhou
2024 J jnl
A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering.
Mach. Vis. Appl.
Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang
2024 J jnl
API Recommendation for Novice Programmers: Build a Bridge of Query-Task Knowledge Gap.
IEEE Trans. Reliab.
Yong Wang, Yingtao Fang, Cuiyun Gao, Linjun Chen
2023 — conf
Application in Student Performance Prediction Using Graph Regularization Nonnegative Matrix Factorization.
DSA
Jing Wang, Ganyi Tang, Yong Wang
2023 J jnl
Mixed structure low-rank representation for multi-view subspace clustering.
Appl. Intell.
Shouhang Wang, Yong Wang, Gui-Fu Lu, Wenge Le
2022 — conf
Adaptive Weight Structure Representation for Multi-view Subspace Clustering.
DSA
Shouhang Wang, Yong Wang, Wenge Le
2022 J jnl
An Empirical Study on Bugs in Python Interpreters.
IEEE Trans. Reliab.
Ziyuan Wang, Dexin Bu, Aiyue Sun, Shanyi Gou, Yong Wang, Lin Chen
2022 — conf
Automating App Review Classification based on Extended Semantic.
DSA
Wan Zhou, Yong Wang, Yang Qu, Li Li
2022 J jnl
Collaborative filtering recommendation using fusing criteria against shilling attacks.
Connect. Sci.
Li Li, Zhongqun Wang, Chen Li, Linjun Chen, Yong Wang
2022 J jnl
Emerging topic identification from app reviews via adaptive online biterm topic modeling.
Frontiers Inf. Technol. Electron. Eng.
Wan Zhou, Yong Wang, Cuiyun Gao, Fei Yang
2022 — conf
Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints.
DSA
Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang
2022 J jnl
Robust low-rank representation with adaptive graph regularization from clean data.
Appl. Intell.
Gui-Fu Lu, Yong Wang, Ganyi Tang
2021 — conf
Automatic Test Path Generation and Prioritization using UML Activity Diagram.
DSA
Lili Fan, Yong Wang, Tao Liu
2021 — conf
Block Diagonal Sparse Subspace Clustering.
WCSP
Lili Fan, Gui-Fu Lu, Yong Wang, Tao Liu
2021 — conf
Influencing Factors Analysis and Evaluation for Undergraduate Programming Ability.
QRS Companion
Jing Wang, Yong Wang, Xue Wang
2021 J jnl
Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measure.
Mach. Vis. Appl.
Gui-Fu Lu, Hua Li, Yong Wang, Ganyi Tang
2020 J jnl
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint.
Neural Networks
Gui-Fu Lu, Qin-Ru Yu, Yong Wang, Ganyi Tang
2020 J jnl
Lightweight Fault Localization using Weighted Dynamic Control Flow Subgraph.
Int. J. Perform. Eng.
Yong Wang, Sanming Liu, Li Jun, Cheng Xiangyu, Zhou Wan
2020 J jnl
Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults.
IEEE Access
Yong Wang, Xiangyu Chen, Wan Zhou, Xuejuan Liu, Jun Li, Gui-Fu Lu
2019 J jnl
Spectrum-Based Fault Localization Framework to Support Fault Understanding.
IEICE Trans. Inf. Syst.
Yong Wang, Zhiqiu Huang, Yong Li, Rongcun Wang, Qiao Yu
2018 J jnl
Matrix exponential based discriminant locality preserving projections for feature extraction.
Neural Networks
Gui-Fu Lu, Yong Wang, Jian Zou, Zhongqun Wang
2018 J jnl
Sparse L1-norm-based linear discriminant analysis.
Multim. Tools Appl.
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
2018 J jnl
Spectrum-Based Fault Localization Using Fault Triggering Model to Refine Fault Ranking List.
IEICE Trans. Inf. Syst.
Yong Wang, Zhiqiu Huang, Rongcun Wang, Qiao Yu
2018 J jnl
Spectrum-Based Fault Localization via Enlarging Non-Fault Region to Improve Fault Absolute Ranking.
IEEE Access
Yong Wang, Zhiqiu Huang, Bingwu Fang, Yong Li
2017 J jnl
Evaluating Data Filter on Cross-Project Defect Prediction: Comparison and Improvements.
IEEE Access
Yong Li, Zhiqiu Huang, Yong Wang, Bingwu Fang
2017 J jnl
L1-norm based null space discriminant analysis.
Multim. Tools Appl.
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
2017 J jnl
Lightweight fault localization combined with fault context to improve fault absolute rank.
Sci. China Inf. Sci.
Yong Wang, Zhiqiu Huang, Yong Li, Bingwu Fang
2017 J jnl
υ-Support vector machine based on discriminant sparse neighborhood preserving embedding.
Pattern Anal. Appl.
Bingwu Fang, Zhiqiu Huang, Yong Li, Yong Wang
2016 J jnl
A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension.
Neural Process. Lett.
Gui-Fu Lu, Jian Zou, Yong Wang
2016 J jnl
Graph Maximum Margin Criterion for Face Recognition.
Neural Process. Lett.
Gui-Fu Lu, Yong Wang, Jian Zou
2016 J jnl
L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso.
Pattern Recognit.
Gui-Fu Lu, Jian Zou, Yong Wang
2016 J jnl
L1-norm-based principal component analysis with adaptive regularization.
Pattern Recognit.
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
2016 — conf
Lightweight Fault Localization Combining with Fault-Context.
SATE
Yong Wang, Zhiqiu Huang, Yong Li, Bingwu Fang
2016 J jnl
Low-Rank Matrix Factorization With Adaptive Graph Regularizer.
IEEE Trans. Image Process.
Gui-Fu Lu, Yong Wang, Jian Zou
2016 — conf
Weighted Control Flow Subgraph to Support Debugging Activities.
QRS Companion
Yong Wang, Zhiqiu Huang
2015 J jnl
Incremental learning from chunk data for IDR/QR.
Image Vis. Comput.
Gui-Fu Lu, Jian Zou, Yong Wang
2013 J jnl
Improved complete neighbourhood preserving embedding for face recognition.
IET Comput. Vis.
Gui-Fu Lu, Yong Wang, Jian Zou
2012 J jnl
Feature extraction using a fast null space based linear discriminant analysis algorithm.
Inf. Sci.
Gui-Fu Lu, Yong Wang
2012 J jnl
Incremental complete LDA for face recognition.
Pattern Recognit.
Gui-Fu Lu, Jian Zou, Yong Wang
2012 J jnl
Incremental learning of complete linear discriminant analysis for face recognition.
Knowl. Based Syst.
Gui-Fu Lu, Jian Zou, Yong Wang
2012 J jnl
Incremental learning of discriminant common vectors for feature extraction.
Appl. Math. Comput.
Gui-Fu Lu, Jian Zou, Yong Wang