activity
20232026
most citedInteractive AI with Retrieval-Augmented Generation for Next Generation Networking

136 citations · 196 across the 33 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.NI2023★ 4 cited

The Age of Generative AI and AI-Generated Everything

Hongyang Du, Dusit Niyato, Jiawen Kang +9

Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents ``AI-Gener…

cs.NI2023★ 13 cited

Reinforcement Learning With LLMs Interaction For Distributed Diffusion Model Services

Hongyang Du, Ruichen Zhang, Dusit Niyato +5

Distributed Artificial Intelligence-Generated Content (AIGC) has attracted significant attention, but two key challenges remain: maximizing subjective Quality of Experience (QoE) a…

cs.LG2023

Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices

Peichun Li, Hanwen Zhang, Yuan Wu +4

Distributed Artificial Intelligence (AI) model training over mobile edge networks encounters significant challenges due to the data and resource heterogeneity of edge devices. The…

eess.SP2023★ 1 cited

Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective

Jiacheng Wang, Hongyang Du, Dusit Niyato +4

As generative artificial intelligence (GAI) models continue to evolve, their generative capabilities are increasingly enhanced and being used extensively in content generation. Bey…

cs.IT2023★ 3 cited

RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications

Enyu Shi, Jiayi Zhang, Hongyang Du +5

An introduction of intelligent interconnectivity for people and things has posed higher demands and more challenges for sixth-generation (6G) networks, such as high spectral effici…

cs.NI2023★ 9 cited

Generative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study

Ruichen Zhang, Ke Xiong, Hongyang Du +4

Recognizing the tremendous improvements that the integration of generative AI can bring to intelligent transportation systems, this article explores the integration of generative A…

cs.DC2023★ 6 cited

Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks

Hongyang Du, Ruichen Zhang, Dusit Niyato +6

Driven by advances in generative artificial intelligence (AI) techniques and algorithms, the widespread adoption of AI-generated content (AIGC) has emerged, allowing for the genera…