Rongyao Hu - Citegraph

Author Info

Name	Affiliation	Papers
RONGYAO HU	Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, Guangxi 541004, China	32
Collaborators	Citations	PageRank
70	243	14.01
Referers	Referees	References
504	904	617

Search Limit

100904

Publications (32 rows)

Collaborators (70 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Multi-view Unsupervised Graph Representation Learning	0	0.34	2022
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data	2	0.36	2022
Multi-view Unsupervised Graph Representation Learning.	0	0.34	2022
Complementary Graph Representation Learning for Functional Neuroimaging Identification	0	0.34	2022
Brain functional connectivity analysis based on multi-graph fusion	2	0.36	2021
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan	8	0.43	2021
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification	3	0.37	2021
Adaptive Laplacian Support Vector Machine for Semi-supervised Learning	0	0.34	2021
Adaptive reverse graph learning for robust subspace learning	1	0.35	2021
Multi-Scale Graph Fusion For Co-Saliency Detection	0	0.34	2021
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection	1	0.35	2020
Robust SVM with adaptive graph learning	17	0.58	2020
Low-rank hypergraph feature selection for multi-output regression	0	0.34	2019
One-step Multi-view Spectral Clustering	24	0.60	2019
Unsupervised feature selection by combining subspace learning with feature self-representation.	4	0.39	2018
Dynamic graph learning for spectral feature selection.	38	0.82	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
Supervised feature selection algorithm via discriminative ridge regression.	1	0.35	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
Adaptive Hypergraph Learning for Unsupervised Feature Selection.	2	0.35	2017
Graph self-representation method for unsupervised feature selection.	69	1.31	2017
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation.	6	0.49	2017
Unsupervised Spectral Feature Selection with Local Structure Learning	0	0.34	2017
Low-rank feature selection for multi-view regression.	2	0.36	2017
Unsupervised Feature Selection via Local Structure Learning and Self-Representation	1	0.35	2017
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.	2	0.38	2017
Low-rank unsupervised graph feature selection via feature self-representation.	1	0.34	2017
Unsupervised feature selection for visual classification via feature-representation property.	4	0.40	2017
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.	1	0.35	2016
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.	0	0.34	2016