45 citations · 105 across the 21 of their papers we have counts for
5 papers · 1 filter
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Hongyang Du, Ruichen Zhang, Yinqiu Liu +10
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy a…
Effective Intrusion Detection in Highly Imbalanced IoT Networks with Lightweight S2CGAN-IDS
Caihong Wang, Du Xu, Zonghang Li +1
Since the advent of the Internet of Things (IoT), exchanging vast amounts of information has increased the number of security threats in networks. As a result, intrusion detection…
ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles
Haoxiang Luo, Jin Zhang, Xinling Li +4
Decentralized, tamper-proof blockchain is regarded as a solution to a challenging authentication issue in the Internet of Vehicles (IoVs). However, the consensus time and communica…
Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services
Hongyang Du, Zonghang Li, Dusit Niyato +4
As Metaverse emerges as the next-generation Internet paradigm, the ability to efficiently generate content is paramount. AIGenerated Content (AIGC) emerges as a key solution, yet t…
Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks
Hongyang Du, Zonghang Li, Dusit Niyato +5
Artificial Intelligence-Generated Content (AIGC) refers to the use of AI to automate the information creation process while fulfilling the personalized requirements of users. Howev…