Yong Wang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 24

Top Topics

Locality Preserving Projections

Fault Localization

Top Venues

Multim. Tools Appl.

Pattern Recognit.

Publications

Lili Fan, Guifu Lu, Ganyi Tang, Yong Wang
A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering. Mach. Vis. Appl. 35 (1) (2024)
Shouhang Wang, Yong Wang, Gui-Fu Lu, Wenge Le
Mixed structure low-rank representation for multi-view subspace clustering. Appl. Intell. 53 (15) (2023)
Ziyuan Wang, Dexin Bu, Aiyue Sun, Shanyi Gou, Yong Wang, Lin Chen
An Empirical Study on Bugs in Python Interpreters. IEEE Trans. Reliab. 71 (2) (2022)
Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang
Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints. DSA (2022)
Gui-Fu Lu, Yong Wang, Ganyi Tang
Robust low-rank representation with adaptive graph regularization from clean data. Appl. Intell. 52 (5) (2022)
Wan Zhou, Yong Wang, Cuiyun Gao, Fei Yang
Emerging topic identification from app reviews via adaptive online biterm topic modeling. Frontiers Inf. Technol. Electron. Eng. 23 (5) (2022)
Yong Wang, Sanming Liu, Li Jun, Cheng Xiangyu, Zhou Wan
Lightweight Fault Localization using Weighted Dynamic Control Flow Subgraph. Int. J. Perform. Eng. 16 (2) (2020)
Gui-Fu Lu, Qin-Ru Yu, Yong Wang, Ganyi Tang
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint. Neural Networks 125 (2020)
Yong Wang, Xiangyu Chen, Wan Zhou, Xuejuan Liu, Jun Li, Gui-Fu Lu
Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults. IEEE Access 8 (2020)
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
Sparse L1-norm-based linear discriminant analysis. Multim. Tools Appl. 77 (13) (2018)
Gui-Fu Lu, Yong Wang, Jian Zou, Zhongqun Wang
Matrix exponential based discriminant locality preserving projections for feature extraction. Neural Networks 97 (2018)
Yong Wang, Zhiqiu Huang, Rongcun Wang, Qiao Yu
Spectrum-Based Fault Localization Using Fault Triggering Model to Refine Fault Ranking List. IEICE Trans. Inf. Syst. (10) (2018)
Yong Wang, Zhiqiu Huang, BingWu Fang, Yong Li
Spectrum-Based Fault Localization via Enlarging Non-Fault Region to Improve Fault Absolute Ranking. IEEE Access 6 (2018)
BingWu Fang, Zhiqiu Huang, Yong Li, Yong Wang
υ-Support vector machine based on discriminant sparse neighborhood preserving embedding. Pattern Anal. Appl. 20 (4) (2017)
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
L1-norm based null space discriminant analysis. Multim. Tools Appl. 76 (14) (2017)
Yong Li, Zhiqiu Huang, Yong Wang, BingWu Fang
Evaluating Data Filter on Cross-Project Defect Prediction: Comparison and Improvements. IEEE Access 5 (2017)
Yong Wang, Zhiqiu Huang, Yong Li, BingWu Fang
Lightweight fault localization combined with fault context to improve fault absolute rank. Sci. China Inf. Sci. 60 (9) (2017)
Gui-Fu Lu, Yong Wang, Jian Zou
Low-Rank Matrix Factorization With Adaptive Graph Regularizer. IEEE Trans. Image Process. 25 (5) (2016)
Gui-Fu Lu, Yong Wang, Jian Zou
Graph Maximum Margin Criterion for Face Recognition. Neural Process. Lett. 44 (2) (2016)
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
L1-norm-based principal component analysis with adaptive regularization. Pattern Recognit. 60 (2016)
Gui-Fu Lu, Jian Zou, Yong Wang
A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension. Neural Process. Lett. 43 (3) (2016)
Yong Wang, Zhiqiu Huang, Yong Li, BingWu Fang
Lightweight Fault Localization Combining with Fault-Context. SATE (2016)
Gui-Fu Lu, Jian Zou, Yong Wang
L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso. Pattern Recognit. 55 (2016)
Yong Wang, Zhiqiu Huang
Weighted Control Flow Subgraph to Support Debugging Activities. QRS Companion (2016)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning from chunk data for IDR/QR. Image Vis. Comput. 36 (2015)
Gui-Fu Lu, Yong Wang, Jian Zou
Improved complete neighbourhood preserving embedding for face recognition. IET Comput. Vis. 7 (1) (2013)
Gui-Fu Lu, Yong Wang
Feature extraction using a fast null space based linear discriminant analysis algorithm. Inf. Sci. 193 (2012)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental complete LDA for face recognition. Pattern Recognit. 45 (7) (2012)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning of complete linear discriminant analysis for face recognition. Knowl. Based Syst. 31 (2012)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning of discriminant common vectors for feature extraction. Appl. Math. Comput. 218 (22) (2012)