Yongquan Yang

Orcid: 0000-0002-3965-4816

According to our database1, Yongquan Yang authored at least 28 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels.
Knowl. Inf. Syst., April, 2024

Moderately supervised learning: definition, framework and generality.
Artif. Intell. Rev., February, 2024

Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization.
IEEE J. Biomed. Health Informatics, January, 2024

2023
A Survey on ensemble learning under the era of deep learning.
Artif. Intell. Rev., June, 2023

Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels.
CoRR, 2023

Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer.
CoRR, 2023

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer.
CoRR, 2023

2022
Few-Shot Object Detection Using Multimodal Sensor Systems of Unmanned Surface Vehicles.
Sensors, 2022

Cloud Task Scheduling Based on Proximal Policy Optimization Algorithm for Lowering Energy Consumption of Data Center.
KSII Trans. Internet Inf. Syst., 2022

One-Step Abductive Multi-Target Learning with Diverse Noisy Label Samples.
CoRR, 2022

2021
Local minima found in the subparameter space can be effective for ensembles of deep convolutional neural networks.
Pattern Recognit., 2021

Accelerating DES and AES Algorithms for a Heterogeneous Many-core Processor.
Int. J. Parallel Program., 2021

Logical Assessment Formula and its Principles for Evaluations without Accurate Ground-Truth Labels.
CoRR, 2021

One-Step Abductive Multi-Target Learning with Diverse Noisy Samples.
CoRR, 2021

Discussion of Ensemble Learning under the Era of Deep Learning.
CoRR, 2021

2020
Detecting helicobacter pylori in whole slide images via weakly supervised multi-task learning.
Multim. Tools Appl., 2020

FTBME: feature transferring based multi-model ensemble.
Multim. Tools Appl., 2020

Handling Noisy Labels via One-Step Abductive Multi-Target Learning.
CoRR, 2020

Moderately supervised learning: definition and framework.
CoRR, 2020

Food Volume Estimation Based on Reference.
Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 2020

2019
Explorations on visual localization from active to passive.
Multim. Tools Appl., 2019

A two-Layer Cascading method for dropout Prediction in MOOC.
Mechatron. Syst. Control., 2019

2018
Collaborative strategy for visual object tracking.
Multim. Tools Appl., 2018

Research on Chinese Named Entity Recognition in the Marine Field.
Proceedings of the 2018 International Conference on Algorithms, 2018

2017
Online education performance prediction via time-related features.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2015
Research on SQLite Database Encryption Technology in Instant Messaging Based on Android Platform.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

A Novel Implementation of a Hash Function Based on XML DOM Parser.
Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015

2012
3D localization of circular feature in 2D image and application to food volume estimation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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