Incremental learning of discriminant common vectors for feature extraction. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008 (Appl. Math. Comput., 2012)

Feature extraction using a fast null space based linear discriminant analysis algorithm. - Gui-Fu Lu; Yong Wang 008 (Inf. Sci., 2012)

Incremental learning of complete linear discriminant analysis for face recognition. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008 (Knowl. Based Syst., 2012)

Incremental complete LDA for face recognition. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008 (Pattern Recognit., 2012)

Improved complete neighbourhood preserving embedding for face recognition. - Gui-Fu Lu; Yong Wang 008; Jian Zou 001 (IET Comput. Vis., 2013)

Incremental learning from chunk data for IDR/QR. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008 (Image Vis. Comput., 2015)

Weighted Control Flow Subgraph to Support Debugging Activities. - Yong Wang 008; Zhiqiu Huang (QRS Companion, 2016)

Lightweight Fault Localization Combining with Fault-Context. - Yong Wang 008; Zhiqiu Huang; Yong Li 019; BingWu Fang (SATE, 2016)

Graph Maximum Margin Criterion for Face Recognition. - Gui-Fu Lu; Yong Wang 008; Jian Zou 001 (Neural Process. Lett., 2016)

A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008 (Neural Process. Lett., 2016)

L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008 (Pattern Recognit., 2016)

L1-norm-based principal component analysis with adaptive regularization. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008; Zhongqun Wang (Pattern Recognit., 2016)

Low-Rank Matrix Factorization With Adaptive Graph Regularizer. - Gui-Fu Lu; Yong Wang 008; Jian Zou 001 (IEEE Trans. Image Process., 2016)

Evaluating Data Filter on Cross-Project Defect Prediction: Comparison and Improvements. - Yong Li 019; Zhiqiu Huang; Yong Wang 008; BingWu Fang (IEEE Access, 2017)

Lightweight fault localization combined with fault context to improve fault absolute rank. - Yong Wang 008; Zhiqiu Huang; Yong Li 019; BingWu Fang (Sci. China Inf. Sci., 2017)

L1-norm based null space discriminant analysis. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008; Zhongqun Wang (Multim. Tools Appl., 2017)

υ-Support vector machine based on discriminant sparse neighborhood preserving embedding. - BingWu Fang; Zhiqiu Huang; Yong Li 019; Yong Wang 008 (Pattern Anal. Appl., 2017)

Spectrum-Based Fault Localization via Enlarging Non-Fault Region to Improve Fault Absolute Ranking. - Yong Wang 008; Zhiqiu Huang; BingWu Fang; Yong Li 019 (IEEE Access, 2018)

Spectrum-Based Fault Localization Using Fault Triggering Model to Refine Fault Ranking List. - Yong Wang 008; Zhiqiu Huang; Rongcun Wang; Qiao Yu (IEICE Trans. Inf. Syst., 2018)

Sparse L1-norm-based linear discriminant analysis. - Gui-Fu Lu; Jian Zou 001; Yong Wang 008; Zhongqun Wang (Multim. Tools Appl., 2018)

Matrix exponential based discriminant locality preserving projections for feature extraction. - Gui-Fu Lu; Yong Wang 008; Jian Zou 001; Zhongqun Wang (Neural Networks, 2018)

Spectrum-Based Fault Localization Framework to Support Fault Understanding. - Yong Wang 008; Zhiqiu Huang; Yong Li 019; Rongcun Wang; Qiao Yu (IEICE Trans. Inf. Syst., 2019)

Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults. - Yong Wang 008; Xiangyu Chen; Wan Zhou; Xuejuan Liu; Jun Li; Gui-Fu Lu (IEEE Access, 2020)

Lightweight Fault Localization using Weighted Dynamic Control Flow Subgraph. - Yong Wang 008; Sanming Liu; Li Jun; Cheng Xiangyu; Zhou Wan (Int. J. Perform. Eng., 2020)

Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint. - Gui-Fu Lu; Qin-Ru Yu; Yong Wang 008; Ganyi Tang (Neural Networks, 2020)

Automatic Test Path Generation and Prioritization using UML Activity Diagram. - Lili Fan; Yong Wang 008; Tao Liu (DSA, 2021)

Influencing Factors Analysis and Evaluation for Undergraduate Programming Ability. - Jing Wang; Yong Wang 008; Xue Wang (QRS Companion, 2021)

Block Diagonal Sparse Subspace Clustering. - Lili Fan; Gui-Fu Lu; Yong Wang 008; Tao Liu (WCSP, 2021)

Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measure. - Gui-Fu Lu; Hua Li; Yong Wang 008; Ganyi Tang (Mach. Vis. Appl., 2021)

Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints. - Lili Fan; Gui-Fu Lu; Ganyi Tang; Yong Wang 008 (DSA, 2022)

Adaptive Weight Structure Representation for Multi-view Subspace Clustering. - Shouhang Wang; Yong Wang 008; Wenge Le (DSA, 2022)

Automating App Review Classification based on Extended Semantic. - Wan Zhou; Yong Wang 008; Yang Qu; Li Li (DSA, 2022)

Robust low-rank representation with adaptive graph regularization from clean data. - Gui-Fu Lu; Yong Wang 008; Ganyi Tang (Appl. Intell., 2022)

Collaborative filtering recommendation using fusing criteria against shilling attacks. - Li Li; Zhongqun Wang; Chen Li; Linjun Chen; Yong Wang 008 (Connect. Sci., 2022)

Emerging topic identification from app reviews via adaptive online biterm topic modeling. - Wan Zhou; Yong Wang 008; Cuiyun Gao; Fei Yang (Frontiers Inf. Technol. Electron. Eng., 2022)

An Empirical Study on Bugs in Python Interpreters. - Ziyuan Wang 001; Dexin Bu; Aiyue Sun; Shanyi Gou; Yong Wang 008; Lin Chen 015 (IEEE Trans. Reliab., 2022)

Application in Student Performance Prediction Using Graph Regularization Nonnegative Matrix Factorization. - Jing Wang; Ganyi Tang; Yong Wang 008 (DSA, 2023)

Mixed structure low-rank representation for multi-view subspace clustering. - Shouhang Wang; Yong Wang 008; Gui-Fu Lu; Wenge Le (Appl. Intell., 2023)

A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering. - Lili Fan; Gui-Fu Lu; Ganyi Tang; Yong Wang 008 (Mach. Vis. Appl., 2024)

API Recommendation for Novice Programmers: Build a Bridge of Query-Task Knowledge Gap. - Yong Wang 008; Yingtao Fang; Cuiyun Gao; Linjun Chen (IEEE Trans. Reliab., 2024)

KanDMVC: KAN be used for deep multi-view clustering? - Yifan Zhang; Yong Wang 008; Guifu Lu; Cuiyun Gao; Lin Cui; Zizhuang Ma (Expert Syst. Appl., 2025)

Improving user-oriented fairness in recommendation via data augmentation: Don't worry about inactive users. - Yong Wang 008; Huadong Zhou; Gui-Fu Lu; Cuiyun Gao; Shuai Meng (J. Syst. Softw., 2025)