PFL: Proactive Fuzzy-logic-based AQM Algorithm for Best-effort Networks. - Weijie Chen 001; Wanliang Wang; Yibo Jiang; Guisen Li; Qingli Chen (CASoN, 2010)

A Coverage Enhancement Method of Directional Sensor Network Based on Genetic Algorithm for Occlusion-Free Surveillance. - Yibo Jiang; Jinwei Yang; Weijie Chen 001; Wanliang Wang (CASoN, 2010)

Probabilistic outputs for twin support vector machines. - Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Min Yang; Wei-Jie Chen 001; Zhen Wang 002 (Knowl. Based Syst., 2012)

Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Ya-Fen Ye (ITQM, 2013)

The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Wen-Biao Huang; Zhi-Min Yang; Nai-Yang Deng (ITQM, 2013)

Least squares twin parametric-margin support vector machine for classification. - Yuan-Hai Shao 001; Zhen Wang 002; Wei-Jie Chen 001; Nai-Yang Deng (Appl. Intell., 2013)

Ensemble learning for generalised eigenvalues proximal support vector machines. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Yibo Jiang; Chongpu Xia (Int. J. Comput. Appl. Technol., 2013)

A proximal classifier with consistency. - Yuan-Hai Shao 001; Nai-Yang Deng; Wei-Jie Chen 001 (Knowl. Based Syst., 2013)

A regularization for the projection twin support vector machine. - Yuan-Hai Shao 001; Zhen Wang 002; Wei-Jie Chen 001; Nai-Yang Deng (Knowl. Based Syst., 2013)

Improved Generalized Eigenvalue Proximal Support Vector Machine. - Yuan-Hai Shao 001; Nai-Yang Deng; Wei-Jie Chen 001; Zhen Wang 002 (IEEE Signal Process. Lett., 2013)

SOBP: a sender-designated opportunistic broadcast protocol for VANET. - Guisen Li; Wanliang Wang; Xinwei Yao 001; Weijie Chen 001 (Telecommun. Syst., 2013)

Manifold proximal support vector machine for semi-supervised classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Deng-Ke Xu; Yongfeng Fu (Appl. Intell., 2014)

Laplacian least squares twin support vector machine for semi-supervised classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Lin Feng (Neurocomputing, 2014)

A proximal classifier with positive and negative local regions. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Haibin Zhang; Nai-Yang Deng (Neurocomputing, 2014)

Nonparallel hyperplane support vector machine for binary classification problems. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Nai-Yang Deng (Inf. Sci., 2014)

Laplacian smooth twin support vector machine for semi-supervised classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Ning Hong (Int. J. Mach. Learn. Cybern., 2014)

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Jing-Jing Zhang; Zhen Wang 002; Nai-Yang Deng (Pattern Recognit., 2014)

Adaptive soft sensor modeling method based on multi-model dynamic fusion and its industrial application. - Yongfeng Fu; Ouguan Xu; Weijie Chen 001; Haifeng Ji (I2MTC, 2015)

Laplacian unit-hyperplane learning from positive and unlabeled examples. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Li-Ming Liu; Nai-Yang Deng (Inf. Sci., 2015)

Weighted linear loss twin support vector machine for large-scale classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Chun-Na Li 001; Nai-Yang Deng (Knowl. Based Syst., 2015)

MLTSVM: A novel twin support vector machine to multi-label learning. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Nai-Yang Deng (Pattern Recognit., 2016)

Robust recursive absolute value inequalities discriminant analysis with sparseness. - Chun-Na Li 001; Zeng-Rong Zheng; Ming-Zeng Liu; Yuan-Hai Shao 001; Wei-Jie Chen 001 (Neural Networks, 2017)

Generalized two-dimensional linear discriminant analysis with regularization. - Chun-Na Li 001; Yuan-Hai Shao 001; Wei-Jie Chen 001; Nai-Yang Deng (CoRR, 2018)

Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. - Wei-Jie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001; Ju Zhang 004; Nai-Yang Deng (Neurocomputing, 2018)

Minimum deviation distribution machine for large scale regression. - Ming-Zeng Liu; Yuan-Hai Shao 001; Zhen Wang 002; Chun-Na Li 001; Wei-Jie Chen 001 (Knowl. Based Syst., 2018)

Rectified Encoder Network for High-Dimensional Imbalanced Learning. - Tao Zheng; Wei-Jie Chen 001; Ivor W. Tsang; Xin Yao 001 (PRICAI (2), 2019)

A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification. - Wei-Jie Chen 001; Kai-Li Yang; Yuan-Hai Shao 001; Yu-Juan Chen; Ju Zhang 004; Jing-Jing Yao (IEEE Access, 2019)

2DRLPP: Robust two-dimensional locality preserving projection with regularization. - Wei-Jie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001; Ju Zhang 004; Nai-Yang Deng (Knowl. Based Syst., 2019)

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Yu-Qing Wang; Ming-Zeng Liu; Zhen Wang 002 (Appl. Soft Comput., 2020)

ν-projection twin support vector machine for pattern classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Ming-Zeng Liu; Zhen Wang 002; Nai-Yang Deng (Neurocomputing, 2020)

A Hybrid Pipelined Architecture for High Performance Top-K Sorting on FPGA. - Weijie Chen 001; Weijun Li 001; Feng Yu 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Modular Pipeline Architecture for Accelerating Join Operation in RDBMS. - Weijie Chen 001; Weijun Li 001; Feng Yu 003 (IEEE Trans. Circuits Syst., 2020)

Large Margin Partial Label Machine. - Jing Chai; Ivor W. Tsang; Weijie Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Local density peaks clustering with small size distance matrix. - Meng-Xian Zhu; Xiao-Jing Lv; Weijie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001 (ITQM, 2021)

MPMSVC: Multiple Parametric-Margin Support Vector Clustering. - Yibo Jiang; Wei-Jie Chen 001; Yu-Qing Wang; Ming-Chuan Zhang; Yuan-Hai Shao 001 (IEEE Access, 2021)

Smooth pinball loss nonparallel support vector machine for robust classification. - Ming-Zeng Liu; Yuan-Hai Shao 001; Chun-Na Li 001; Wei-Jie Chen 001 (Appl. Soft Comput., 2021)

A Multiclass Nonparallel Parametric-Margin Support Vector Machine. - Shu-Wang Du; Ming-Chuan Zhang; Pei Chen; Hui-Feng Sun; Weijie Chen 001; Yuan-Hai Shao 001 (Inf., 2021)

Generalized two-dimensional linear discriminant analysis with regularization. - Chun-Na Li 001; Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Nai-Yang Deng (Neural Networks, 2021)

Novel Feature Selection Method for Nonlinear Support Vector Regression. - Kejia Xu; Ying Xu; Yafen Ye; Weijie Chen 001 (Complex., 2022)

Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss. - Ju Liu; Ling-Wei Huang; Yuan-Hai Shao 001; Wei-Jie Chen 001; Chun-Na Li 001 (CoRR, 2022)

Fast and Robust Rank Aggregation against Model Misspecification. - Yuangang Pan; Ivor W. Tsang; Weijie Chen 001; Gang Niu 001; Masashi Sugiyama (J. Mach. Learn. Res., 2022)

Stream-Based Lossless Compression of Sensor Signals Using an Integer Adaptive Predictor. - Qianhao Chen; Wenqi Wu; Haori Zheng; Bei Zhao; Zhenguo Ma; Weijie Chen 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Multiple Flat Projections for Cross-Manifold Clustering. - Lan Bai; Yuan-Hai Shao 001; Zhen Wang 002; Weijie Chen 001; Nai-Yang Deng (IEEE Trans. Cybern., 2022)

Resource Efficient Top-K Sorter on FPGA. - Binhao He; Meiting Xue; Shubiao Liu; Feng Yu 003; Weijie Chen 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. - Ju Liu; Ling-Wei Huang; Yuan-Hai Shao 001; Wei-Jie Chen 001; Chun-Na Li 001 (J. Comput. Appl. Math., 2024)

Twin support vector quantile regression. - Yafen Ye; Zhihu Xu; Jinhua Zhang; Weijie Chen 001; Yuanhai Shao 001 (Expert Syst. Appl., 2024)

L1-norm twin support vector quantile regression. - Ya-Fen Ye; Chen-Xuan Wang; Jia-Sen Tian; Weijie Chen 001 (Appl. Soft Comput., 2025)

Nonlinear feature selection for support vector quantile regression. - Ya-Fen Ye; Jie Wang; Weijie Chen 001 (Neural Networks, 2025)

Group feature selection using non-class data. - Chunna Li 001; Yuangang Pan; Weijie Chen 001; Ivor W. Tsang; Yuanhai Shao 001 (Mach. Learn., 2025)