Yuanyuan Chen

Orcid: 0000-0002-5358-9213

According to our database1, Yuanyuan Chen authored at least 34 papers between 2014 and 2025.

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

Timeline

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Bibliography

2025
Global vision, local focus: the semantic enhancement transformer network for crowd counting.
Soft Comput., January, 2025

A comprehensive survey of crowd density estimation and counting.
IET Image Process., 2025

AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics.
Comput. Biol. Medicine, 2025

A novel framework for enhancing postpartum hemorrhage prediction: Balanced data preprocessing meets neural network modeling.
Biomed. Signal Process. Control., 2025

2024
ALP-Net: a segmentation-free approach for license plate recognition in unconstrained scenarios.
Neural Comput. Appl., August, 2024

A review of optic disc and optic cup segmentation based on fundus images.
IET Image Process., August, 2024

An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection.
IEEE Trans. Knowl. Data Eng., 2024

Enhancing mass spectrometry data analysis: A novel framework for calibration, outlier detection, and classification.
Pattern Recognit. Lett., 2024

A review of retinal vessel segmentation for fundus image analysis.
Eng. Appl. Artif. Intell., 2024

2023
GFF-Net: Graph-based feature fusion network for diagnosing plus disease in retinopathy of prematurity.
Appl. Intell., November, 2023

Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry.
IEEE J. Biomed. Health Informatics, October, 2023

Foreground Segmentation-Based Density Grading Networks for Crowd Counting.
Sensors, October, 2023

Fake license plate recognition in surveillance videos.
Signal Image Video Process., June, 2023

Intelligent Analysis of Fundus Images - Methods and Applications
Series on Deep Learning Neural Networks 1, WorldScientific, ISBN: 9789811270383, 2023

2022
Global attention-assisted representation learning for vehicle re-identification.
Signal Image Video Process., 2022

Gram regularization for sparse and disentangled representation.
Pattern Anal. Appl., 2022

TCURL: Exploring hybrid transformer and convolutional neural network on phishing URL detection.
Knowl. Based Syst., 2022

Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning.
Neurocomputing, 2022

2021
DeepUWF: An Automated Ultra-Wide-Field Fundus Screening System via Deep Learning.
IEEE J. Biomed. Health Informatics, 2021

Adaptive sparse dropout: Learning the certainty and uncertainty in deep neural networks.
Neurocomputing, 2021

DeepUWF-plus: automatic fundus identification and diagnosis system based on ultrawide-field fundus imaging.
Appl. Intell., 2021

2020
Surrogate dropout: Learning optimal drop rate through proxy.
Knowl. Based Syst., 2020

Automated diagnosis of neonatal encephalopathy on aEEG using deep neural networks.
Neurocomputing, 2020

A novel method to compute the weights of neural networks.
Neurocomputing, 2020

2019
Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks.
IEEE Trans. Medical Imaging, 2019

Automated segmentation of macular edema in OCT using deep neural networks.
Medical Image Anal., 2019

Automated identification and grading system of diabetic retinopathy using deep neural networks.
Knowl. Based Syst., 2019

Locality-constrained least squares regression for subspace clustering.
Knowl. Based Syst., 2019

Diagnosis of Diabetic Retinopathy Using Deep Neural Networks.
IEEE Access, 2019

An Interactive System for Detection and Analysis of Mandibular Cystic Lesions.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
Subspace clustering using a low-rank constrained autoencoder.
Inf. Sci., 2018

A New Delay Connection for Long Short-Term Memory Networks.
Int. J. Neural Syst., 2018

2016
A Novel Low Rank Representation Algorithm for Subspace Clustering.
Int. J. Pattern Recognit. Artif. Intell., 2016

2014
Nearest convex hull classification by using Lotka-Volterra recurrent neural networks.
Neurocomputing, 2014


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