Zhe Wang - Citegraph

Author Info

Name	Affiliation	Papers
ZHE WANG	Department of Computer Science & Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China 210016	40
Collaborators	Citations	PageRank
48	268	18.89
Referers	Referees	References
476	1092	778

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Publications (40 rows)

Collaborators (48 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data	0	0.34	2022
Semantic Supplementary Network With Prior Information for Multi-Label Image Classification	0	0.34	2022
BLSTM and CNN Stacking Architecture for Speech Emotion Recognition	0	0.34	2021
Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.	1	0.35	2020
Multiple Empirical Kernel Learning with Discriminant Locality Preservation.	0	0.34	2019
Web image annotation based on Tri-relational Graph and semantic context analysis	0	0.34	2019
Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems.	1	0.35	2019
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning	0	0.34	2019
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems.	0	0.34	2018
Mortality prediction system for heart failure with orthogonal relief and dynamic radius means.	0	0.34	2018
Information entropy based sample reduction for support vector data description.	1	0.36	2018
Entropy-based matrix learning machine for imbalanced data sets.	12	0.49	2017
GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.	0	0.34	2017
New design goal of a classifier: Global and local structural risk minimization.	0	0.34	2016
Matrixized Learning Machine with Feature-Clustering Interpolation	0	0.34	2016
Multiple empirical kernel learning with locality preserving constraint.	4	0.45	2016
One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem.	6	0.50	2016
Matrixized learning machine with modified pairwise constraints	1	0.35	2015
Gravitational fixed radius nearest neighbor for imbalanced problem	12	0.56	2015
McMatMHKS: A direct multi-class matrixized learning machine	1	0.35	2015
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection	2	0.36	2015
Multiple empirical kernel learning based on local information.	3	0.37	2013
Random projection ensemble learning with multiple empirical kernels	5	0.40	2013
Three-fold structured classifier design based on matrix pattern	5	0.40	2013
A novel multiple Nyström-approximating kernel discriminant analysis	6	0.45	2013
Regularized multi-view learning machine based on response surface technique	7	0.44	2012
A simplified multi-class support vector machine with reduced dual optimization	13	0.52	2012
A novel multi-view learning developed from single-view patterns	20	0.61	2011
A novel multi-view classifier based on Nyström approximation	4	0.39	2011
An effective support vector data description with relevant metric learning	2	0.38	2010
A novel DoubleMinOver classifier based On second-order tensor	0	0.34	2010
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization	5	0.42	2010
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness.	1	0.35	2009
Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping	0	0.34	2009
Multi-view kernel machine on single-view data	9	0.49	2009
MultiK-MHKS: a novel multiple kernel learning algorithm.	59	1.91	2008
Pattern representation in feature extraction and classifier design: matrix versus vector.	22	0.74	2008
Matrix-pattern-oriented least squares support vector classifier with AdaBoost	8	0.46	2008
Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning	25	0.80	2007
New Least Squares Support Vector Machines Based on Matrix Patterns	33	1.24	2007