Ly Vu

Orcid: 0000-0001-6311-1056

According to our database1, Ly Vu authored at least 14 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Deep Generative Learning Models for Cloud Intrusion Detection Systems.
IEEE Trans. Cybern., 2023

Improving Loss Function for a Deep Neural Network for Lesion Segmentation.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Improving Gastric Lesion Detection by using Specular Highlights Removal Algorithm and Deep Learning Approach.
Proceedings of the 12th International Conference on Control, 2023

Improving Loss Function for Polyp Detection Problem.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

A Novel Transfer Learning Model for Intrusion Detection Systems in IoT Networks.
Proceedings of the Emerging Trends in Cybersecurity Applications, 2023

2022
Learning Latent Representation for IoT Anomaly Detection.
IEEE Trans. Cybern., 2022

A Data Sampling and Two-Stage Convolution Neural Network for IoT Devices Identification.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

2021
A Study of Word Presentation in Vietnamese Sentiment Analysis.
Proceedings of the International Conference on System Science and Engineering, 2021

2020
Deep Transfer Learning for IoT Attack Detection.
IEEE Access, 2020

2019
Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017
A Deep Learning Based Method for Handling Imbalanced Problem in Network Traffic Classification.
Proceedings of the Eighth International Symposium on Information and Communication Technology, 2017

Speed up Querying Encrypted Data on Outsourced Database.
Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, 2017

2016
Learning from imbalanced data for encrypted traffic identification problem.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

2014
Full weighting Hough Forests for object detection.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014


  Loading...