Zhen Wang - RankMe

47 papers Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Generalization Memorization Machine with Zero Empirical Risk for Classification. Pattern Recognit. Zhen Wang, Lan Bai, Yuan-Hai Shao
2024	J	`jnl`	Handling Imbalanced Classification Problems by Weighted Generalization Memorization Machine. Appl. Artif. Intell. Chen Dou, Yan Lv, Zhen Wang, Lan Bai
2023	J	`jnl`	Least Squares Maximum and Weighted Generalization-Memorization Machines. CoRR Shuai Wang, Zhen Wang, Yuan-Hai Shao
2022	J	`jnl`	Generalization-Memorization Machines. CoRR Zhen Wang, Yuan-Hai Shao
2022	J	`jnl`	Multiple Flat Projections for Cross-Manifold Clustering. IEEE Trans. Cybern. Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng
2022	J	`jnl`	Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning. Appl. Soft Comput. Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2022	J	`jnl`	Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints. IEEE Trans. Fuzzy Syst. Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
2021	—	`conf`	Divergent Projection Analysis for Unsupervised Dimensionality Reduction. ITQM Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2021	J	`jnl`	Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. CoRR Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao
2021	J	`jnl`	General Plane-Based Clustering With Distribution Loss. IEEE Trans. Neural Networks Learn. Syst. Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2021	J	`jnl`	Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
2020	J	`jnl`	Multiple Flat Projections for Cross-manifold Clustering. CoRR Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
2020	J	`jnl`	NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Appl. Soft Comput. Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Yu-Qing Wang, Ming-Zeng Liu, Zhen Wang
2020	J	`jnl`	Ramp-based twin support vector clustering. Neural Comput. Appl. Zhen Wang, Xu Chen, Yuan-Hai Shao, Chun-Na Li
2019	J	`jnl`	A general model for plane-based clustering with loss function. CoRR Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2019	J	`jnl`	Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding. Knowl. Based Syst. Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li
2019	J	`jnl`	Joint sample and feature selection via sparse primal and dual LSSVM. Knowl. Based Syst. Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu
2019	J	`jnl`	Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. Knowl. Based Syst. Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang
2019	J	`jnl`	Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2019	J	`jnl`	Robust k-subspace discriminant clustering. Appl. Soft Comput. Chun-Na Li, Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang
2019	J	`jnl`	Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao, Yan Xu, Li-Ming Liu, Zhen Wang
2018	J	`jnl`	Insensitive stochastic gradient twin support vector machines for large scale problems. Inf. Sci. Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2018	J	`jnl`	Minimum deviation distribution machine for large scale regression. Knowl. Based Syst. Ming-Zeng Liu, Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Wei-Jie Chen
2018	J	`jnl`	Ramp-based Twin Support Vector Clustering. CoRR Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
2018	J	`jnl`	Reversible Discriminant Analysis. IEEE Access Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li
2018	J	`jnl`	Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. CoRR Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2018	J	`jnl`	Sparse Pattern Recognit. Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng
2017	J	`jnl`	Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. CoRR Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
2017	J	`jnl`	k-Proximal plane clustering. Int. J. Mach. Learn. Cybern. Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao
2016	J	`jnl`	MBLDA: A novel multiple between-class linear discriminant analysis. Inf. Sci. Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2016	J	`jnl`	Weighted Lagrange ε-twin support vector regression. Neurocomputing Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2015	—	`conf`	Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. ICDM Workshops Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng
2015	J	`jnl`	Twin Support Vector Machine for Clustering. IEEE Trans. Neural Networks Learn. Syst. Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng
2015	J	`jnl`	Weighted linear loss twin support vector machine for large-scale classification. Knowl. Based Syst. Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng
2014	J	`jnl`	A novel feature selection method for twin support vector machine. Knowl. Based Syst. Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng
2014	J	`jnl`	A proximal classifier with positive and negative local regions. Neurocomputing Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng
2014	J	`jnl`	An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. Pattern Recognit. Yuan-Hai Shao, Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang, Nai-Yang Deng
2014	—	`conf`	Proximal Classifier via Absolute Value Inequalities. ICDM Workshops Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng
2014	J	`jnl`	Proximal parametric-margin support vector classifier and its applications. Neural Comput. Appl. Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
2014	—	`conf`	Weighted Linear Loss Support Vector Machine for Large Scale Problems. ITQM Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng
2013	J	`jnl`	A GA-based model selection for smooth twin parametric-margin support vector machine. Pattern Recognit. Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
2013	J	`jnl`	A regularization for the projection twin support vector machine. Knowl. Based Syst. Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
2013	—	`conf`	Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression. ITQM Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao
2013	J	`jnl`	Improved Generalized Eigenvalue Proximal Support Vector Machine. IEEE Signal Process. Lett. Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang
2013	J	`jnl`	Least squares twin parametric-margin support vector machine for classification. Appl. Intell. Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
2013	—	`conf`	Proximal Plane Clustering via Eigenvalues. ITQM Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng
2012	J	`jnl`	Probabilistic outputs for twin support vector machines. Knowl. Based Syst. Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen, Zhen Wang