709 citations · 2.7k across the 86 of their papers we have counts for
86 papers
Large Language Models for Networking: Applications, Enabling Techniques, and Challenges
Yudong Huang, Hongyang Du, Xinyuan Zhang +5
The rapid evolution of network technologies and the growing complexity of network tasks necessitate a paradigm shift in how networks are designed, configured, and managed. With a w…
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…
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…
Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts
Hongyang Du, Guangyuan Liu, Dusit Niyato +5
Semantic communication (SemCom) holds promise for reducing network resource consumption while achieving the communications goal. However, the computational overheads in jointly tra…
A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks
Jiacheng Wang, Hongyang Du, Dusit Niyato +6
With the significant advancements in artificial intelligence (AI) technologies and powerful computational capabilities, generative AI (GAI) has become a pivotal digital content gen…
Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study
Yinqiu Liu, Hongyang Du, Dusit Niyato +4
As the next-generation paradigm for content creation, AI-Generated Content (AIGC), i.e., generating content automatically by Generative AI (GAI) based on user prompts, has gained g…
Artificial Intelligence for Web 3.0: A Comprehensive Survey
Meng Shen, Zhehui Tan, Dusit Niyato +7
Web 3.0 is the new generation of the Internet that is reconstructed with distributed technology, which focuses on data ownership and value expression. Also, it operates under the p…
Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach
Guangyuan Liu, Hongyang Du, Dusit Niyato +3
The popularity of Metaverse as an entertainment, social, and work platform has led to a great need for seamless avatar integration in the virtual world. In Metaverse, avatars must…
Service Reservation and Pricing for Green Metaverses: A Stackelberg Game Approach
Xumin Huang, Yuan Wu, Jiawen Kang +4
Metaverse enables users to communicate, collaborate and socialize with each other through their digital avatars. Due to the spatio-temporal characteristics, co-located users are se…
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…
Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation
Guangyuan Liu, Hongyang Du, Dusit Niyato +5
Artificial Intelligence Generated Content (AIGC) Services have significant potential in digital content creation. The distinctive abilities of AIGC, such as content generation base…
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness
Jiawen Kang, Jinbo Wen, Dongdong Ye +7
Given the revolutionary role of metaverses, healthcare metaverses are emerging as a transformative force, creating intelligent healthcare systems that offer immersive and personali…
Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing
Rakpong Kaewpuang, Minrui Xu, Dinh Thai Hoang +5
Quantum cloud computing (QCC) offers a promising approach to efficiently provide quantum computing resources, such as quantum computers, to perform resource-intensive tasks. Like t…
A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC
Jiayuan Chen, Changyan Yi, Hongyang Du +5
Mobile Artificial Intelligence-Generated Content (AIGC) technology refers to the adoption of AI algorithms deployed at mobile edge networks to automate the information creation pro…
Federated Learning-Empowered AI-Generated Content in Wireless Networks
Xumin Huang, Peichun Li, Hongyang Du +4
Artificial intelligence generated content (AIGC) has emerged as a promising technology to improve the efficiency, quality, diversity and flexibility of the content creation process…
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction
Junlong Chen, Jiawen Kang, Minrui Xu +5
Avatars, as promising digital assistants in Vehicular Metaverses, can enable drivers and passengers to immerse in 3D virtual spaces, serving as a practical emerging example of Arti…
Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services
Hongyang Du, Dusit Niyato, Jiawen Kang +4
Generative AI (GAI) models have been rapidly advancing, with a wide range of applications including intelligent networks and mobile AI-generated content (AIGC) services. Despite th…
Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses
Jiawen Kang, Jiayi He, Hongyang Du +4
For vehicular metaverses, one of the ultimate user-centric goals is to optimize the immersive experience and Quality of Service (QoS) for users on board. Semantic Communication (Se…
Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence
Minrui Xu, Dusit Niyato, Hongliang Zhang +4
With the rapid development of artificial general intelligence (AGI), various multimedia services based on pretrained foundation models (PFMs) need to be effectively deployed. With…
A Unified Framework for Integrating Semantic Communication and AI-Generated Content in Metaverse
Yijing Lin, Zhipeng Gao, Hongyang Du +4
As the Metaverse continues to grow, the need for efficient communication and intelligent content generation becomes increasingly important. Semantic communication focuses on convey…
Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Services
Minrui Xu, Dusit Niyato, Hongliang Zhang +4
Aiming at achieving artificial general intelligence (AGI) for Metaverse, pretrained foundation models (PFMs), e.g., generative pretrained transformers (GPTs), can effectively provi…
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…
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation
Yu Guo, Ryan Wen Liu, Jiangtian Nie +5
Visual surveillance technology is an indispensable functional component of advanced traffic management systems. It has been applied to perform traffic supervision tasks, such as ob…
FAST: Fidelity-Adjustable Semantic Transmission over Heterogeneous Wireless Networks
Peichun Li, Guoliang Cheng, Jiawen Kang +4
In this work, we investigate the challenging problem of on-demand semantic communication over heterogeneous wireless networks. We propose a fidelity-adjustable semantic transmissio…