1 citations · 2 across the 9 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.NI2024
Joint Model Caching and Resource Allocation in Generative AI-Enabled Wireless Edge Networks
Zhang Liu, Hongyang Du, Lianfen Huang +2
With the rapid advancement of artificial intelligence (AI), generative AI (GenAI) has emerged as a transformative tool, enabling customized and personalized AI-generated content (A…
cs.LG2024
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services
Zhang Liu, Hongyang Du, Xiangwang Hou +4
Generative AI (GenAI) has emerged as a transformative technology, enabling customized and personalized AI-generated content (AIGC) services. In this paper, we address challenges of…
cs.LG2024
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach
Zhang Liu, Hongyang Du, Junzhe Lin +4
The rapid advancement of Artificial Intelligence (AI) has introduced Deep Neural Network (DNN)-based tasks to the ecosystem of vehicular networks. These tasks are often computation…