56 citations · 155 across the 11 of their papers we have counts for
12 papers
ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Tingmin Wu, Shuiqiao Yang, Shigang Liu +3
Threat modeling is a crucial component of cybersecurity, particularly for industries such as banking, where the security of financial data is paramount. Traditional threat modeling…
Systematic Literature Review of AI-enabled Spectrum Management in 6G and Future Networks
Bushra Sabir, Shuiqiao Yang, David Nguyen +7
Artificial Intelligence (AI) has advanced significantly in various domains like healthcare, finance, and cybersecurity, with successes such as DeepMind's medical imaging and Tesla'…
Hybrid Variational Autoencoder for Time Series Forecasting
Borui Cai, Shuiqiao Yang, Longxiang Gao +1
Variational autoencoders (VAE) are powerful generative models that learn the latent representations of input data as random variables. Recent studies show that VAE can flexibly lea…
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
Bao Gia Doan, Shuiqiao Yang, Paul Montague +6
We present a new algorithm to train a robust malware detector. Modern malware detectors rely on machine learning algorithms. Now, the adversarial objective is to devise alterations…
Transferable Graph Backdoor Attack
Shuiqiao Yang, Bao Gia Doan, Paul Montague +5
Graph Neural Networks (GNNs) have achieved tremendous success in many graph mining tasks benefitting from the message passing strategy that fuses the local structure and node featu…
Fake News Quick Detection on Dynamic Heterogeneous Information Networks
Jin Ho Go, Alina Sari, Jiaojiao Jiang +2
The spread of fake news has caused great harm to society in recent years. So the quick detection of fake news has become an important task. Some current detection methods often mod…
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Taotao Cai, Qi Lei, Quan Z. Sheng +3
Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, has recently received significant attent…
Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions
Hui Yin, Xiangyu Song, Shuiqiao Yang +1
The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has lasted for nearly two years and caused unprecedented impacts on people's daily life around the world. Even worse,…
Representation Learning for Short Text Clustering
Hui Yin, Xiangyu Song, Shuiqiao Yang +2
Effective representation learning is critical for short text clustering due to the sparse, high-dimensional and noise attributes of short text corpus. Existing pre-trained models (…
Variational Co-embedding Learning for Attributed Network Clustering
Shuiqiao Yang, Sunny Verma, Borui Cai +4
Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is e…
Network Growth From Global and Local Influential Nodes
Jiaojiao Jiang, Sanjay Jha
In graph theory and network analysis, node degree is defined as a simple but powerful centrality to measure the local influence of node in a complex network. Preferential attachmen…
Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from A State in Australia
Jianlong Zhou, Shuiqiao Yang, Chun Xiao +1
The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has caused unprecedented impacts to people's daily life around the world. Various measures and policies such as lockdo…