3 citations · 6 across the 4 of their papers we have counts for
4 papers
A Novel Byte-Level Flow-to-Image Encoding Method for Network Intrusion Detection Systems
Ziyu Mu, Zihui Yan, Xiyu Shi +1
Network-based Intrusion Detection Systems (IDS) are predominantly trained on tabular flow records, whose one-dimensional representations limit convolutional architectures from expl…
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen, Zihui Yan, Yunjie Zhu
Generative data augmentation (GDA) has emerged as a promising technique to alleviate data scarcity in machine learning applications. This thesis presents a comprehensive survey and…
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator
Yunhao Chen, Yunjie Zhu, Zihui Yan +3
Despite consistent advancement in powerful deep learning techniques in recent years, large amounts of training data are still necessary for the models to avoid overfitting. Synthet…
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block
Yunhao Chen, Yunjie Zhu, Zihui Yan +4
Recently, massive architectures based on Convolutional Neural Network (CNN) and self-attention mechanisms have become necessary for audio classification. While these techniques are…