Yonghua Zhu - Citegraph

Author Info

Name	Affiliation	Papers
YONGHUA ZHU	Guangxi Normal Univ, Coll Comp Sci & Informat Technol, Guilin 541004, Guangxi, Peoples R China	28
Collaborators	Citations	PageRank
42	216	12.38
Referers	Referees	References
476	606	434

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100606

Publications (28 rows)

Collaborators (42 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning	12	0.49	2022
Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering	0	0.34	2021
Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data.	16	0.53	2021
One-step spectral rotation clustering for imbalanced high-dimensional data	1	0.36	2021
Self-weighted Multi-view Fuzzy Clustering	4	0.38	2020
Spectral representation learning for one-step spectral rotation clustering	1	0.34	2020
Unsupervised feature selection by self-paced learning regularization	34	0.74	2020
Spectral Rotation for Deep One-Step Clustering	16	0.57	2020
Sparse Low-Rank And Graph Structure Learning For Supervised Feature Selection	0	0.34	2020
Self-tuning clustering for high-dimensional data.	1	0.35	2018
Dynamic graph learning for spectral feature selection.	38	0.82	2018
Robust Multi-view Learning via Half-quadratic Minimization.	0	0.34	2018
Robust Feature Selection on Incomplete Data.	1	0.41	2018
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.	51	0.99	2018
Adaptive structure learning for low-rank supervised feature selection.	2	0.35	2018
Self-representation and PCA embedding for unsupervised feature selection.	2	0.36	2018
Self-representation dimensionality reduction for multi-model classification.	1	0.35	2017
Robust Features Selection via Structure Learning and Multiple Subspace Learning	0	0.34	2017
A novel low-rank hypergraph feature selection for multi-view classification.	8	0.44	2017
Adaptive Hypergraph Learning for Unsupervised Feature Selection.	2	0.35	2017
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.	6	0.49	2017
Low-rank feature selection for multi-view regression.	2	0.36	2017
Self-representation graph feature selection method for classification.	3	0.40	2017
Double sparse-representation feature selection algorithm for classification.	1	0.35	2017
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.	2	0.38	2017
Graph feature selection for dementia diagnosis.	2	0.36	2016
Multi-view multi-sparsity kernel reconstruction for multi-class image classification.	7	0.45	2015
kNN Algorithm with Data-Driven k Value.	3	0.40	2014