Yuangang Li

Orcid: 0000-0003-3143-1105

According to our database1, Yuangang Li authored at least 14 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Dynamic hybrid mechanism-based differential evolution algorithm and its application.
Expert Syst. Appl., 2023

2022
Deep anomaly detection with self-supervised learning and adversarial training.
Pattern Recognit., 2022

2021
Uncertain Fractional-Order Multi-Objective Optimization Based on Reliability Analysis and Application to Fractional-Order Circuit with Caputo Type.
Circuits Syst. Signal Process., 2021

Deep neural network for text anomaly detection in SIoT.
Comput. Commun., 2021

2020
Speed Up the Training of Neural Machine Translation.
Neural Process. Lett., 2020

A Multimodal Clustering Framework With Cross Reconstruction Autoencoders.
IEEE Access, 2020

A New Transfer Learning Fault Diagnosis Method Using TSC and JGSA Under Variable Condition.
IEEE Access, 2020

Eco-Environment Construction of English Teaching Using Artificial Intelligence Under Big Data Environment.
IEEE Access, 2020

2018
GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts.
IEEE Access, 2018

2017
An efficient provably-secure identity-based authentication scheme using bilinear pairings for Ad hoc network.
J. Inf. Secur. Appl., 2017

A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Joining External Context Characters to Improve Chinese Word Embedding.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017


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