Yang Zhao

Orcid: 0000-0003-2066-1992

Affiliations:
  • Shenzhen University, China


According to our database1, Yang Zhao authored at least 28 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
Maximum local density-driven non-overlapping radial basis function support kernel neural network.
Inf. Sci., 2025

2024
K-homogeneous nearest neighbor-driven discriminant graph coupled nonnegative matrix factorization for low-resolution image recognition.
Pattern Anal. Appl., September, 2024

Geodesic Basis Function Neural Network.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

TG-Pose: Delving Into Topology and Geometry for Category-Level Object Pose Estimation.
IEEE Trans. Multim., 2024

Hybrid Perturbation Strategy for Semi-Supervised Crowd Counting.
IEEE Trans. Image Process., 2024

G2BFNN: Generalized geodesic basis function neural network.
Neural Networks, 2024

2023
Nonnegative matrix factorization constrained by multiple labelled spanning trees for label propagation.
Inf. Sci., November, 2023

A novel video-based pedestrian re-identification method of sequence feature distribution similarity measurement combined with deep learning.
Appl. Intell., May, 2023

Multiple discriminant preserving support subspace RBFNNs with graph similarity learning.
Inf. Sci., 2023

2022
Progressive Deep Non-Negative Matrix Factorization Architecture with Graph Convolution-based Basis Image Reorganization.
Pattern Recognit., 2022

Self-adjusting multilayer nonlinear coupled mapping for low-resolution face recognition.
Appl. Soft Comput., 2022

Self-supervised Adaptive Kernel Nonnegative Matrix Factorization.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Hybrid Feature Measurement based on Linear and Nonlinear Nonnegative Matrix Factorization.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Nonlinear loose coupled non-negative matrix factorization for low-resolution image recognition.
Neurocomputing, 2021

Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting.
CoRR, 2021

Progressive Kernel Pruning Based on the Information Mapping Sparse Index for CNN Compression.
IEEE Access, 2021

Affine Transform for Skew Correction Based on Generative Adversarial Network Method for Multi-Camera Person Re-Identification.
Proceedings of the APIT 2021: 3rd Asia Pacific Information Technology Conference, 2021

Multi-subspace RBFNN driven by features correlation learning.
Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020
An optimized probabilistic neural network with unit hyperspherical crown mapping and adaptive kernel coverage.
Neurocomputing, 2020

2019
Adaptive comb-type filtering method for stripe noise removal in infrared images.
J. Electronic Imaging, 2019

Multi-layer radial basis function neural network based on multi-scale kernel learning.
Appl. Soft Comput., 2019

2017
Kernel Based Non-Negative Matrix Factorization Method with General Kernel Functions.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016
Supervised kernel nonnegative matrix factorization for face recognition.
Neurocomputing, 2016

2015
Nonlinear Nonnegative Matrix Factorization Based on Discriminant Analysis with Application to Face Recognition.
Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015

Non-negative Compatible Kernel Construction for Face Recognition.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

An Efficient Non-negative Matrix Factorization with Its Application to Face Recognition.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014
Supervised Kernel Construction for Unsupervised PCA on Face Recognition.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014


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