219 citations · 378 across the 62 of their papers we have counts for
41 papers · 1 filter
Toward Democratized Generative AI in Next-Generation Mobile Edge Networks
Ruichen Zhang, Jiayi He, Xiaofeng Luo +5
The rapid development of generative AI technologies, including large language models (LLMs), has brought transformative changes to various fields. However, deploying such advanced…
Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study
Jinbo Wen, Jiawen Kang, Dusit Niyato +4
Data augmentation as a technique can mitigate data scarcity in machine learning. However, owing to fundamental differences in wireless data structures, traditional data augmentatio…
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks
Jiayi He, Xiaofeng Luo, Jiawen Kang +5
Semantic Communication (SemCom) plays a pivotal role in 6G networks, offering a viable solution for future efficient communication. Deep Learning (DL)-based semantic codecs further…
Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study
Yinqiu Liu, Hongyang Du, Dusit Niyato +4
Generative AI (GenAI), exemplified by Large Language Models (LLMs) such as OpenAI's ChatGPT, is revolutionizing various fields. Central to this transformation is Data Center Networ…
Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
Yuntao Wang, Yanghe Pan, Zhou Su +6
With the rapid advancement of large models (LMs), the development of general-purpose intelligent agents powered by LMs has become a reality. It is foreseeable that in the near futu…
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses
Yingkai Kang, Jinbo Wen, Jiawen Kang +5
The vehicular metaverse is envisioned as a blended immersive domain that promises to bring revolutionary changes to the automotive industry. As a core component of vehicular metave…
Privacy-preserving Pseudonym Schemes for Personalized 3D Avatars in Mobile Social Metaverses
Cheng Su, Xiaofeng Luo, Zhenmou Liu +5
The emergence of mobile social metaverses, a novel paradigm bridging physical and virtual realms, has led to the widespread adoption of avatars as digital representations for Socia…
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses
Yongju Tong, Jiawen Kang, Junlong Chen +4
Air-ground integrated networks can relieve communication pressure on ground transportation networks and provide 6G-enabled vehicular Metaverses services offloading in remote areas…
Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach
Yongju Tong, Junlong Chen, Minrui Xu +5
Vehicular Metaverses are developed to enhance the modern automotive industry with an immersive and safe experience among connected vehicles and roadside infrastructures, e.g., Road…
Efficient Prompting for LLM-based Generative Internet of Things
Bin Xiao, Burak Kantarci, Jiawen Kang +2
Large language models (LLMs) have demonstrated remarkable capacities on various tasks, and integrating the capacities of LLMs into the Internet of Things (IoT) applications has dra…
Optimizing 6G Integrated Sensing and Communications (ISAC) via Expert Networks
Jiacheng Wang, Hongyang Du, Geng Sun +4
Integrated Sensing and Communications (ISAC) is one of the core technologies of 6G, which combines sensing and communication functions into a single system. However, limited comput…
Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts
Ruichen Zhang, Hongyang Du, Dusit Niyato +4
In the continued development of next-generation networking and artificial intelligence content generation (AIGC) services, the integration of multi-agent systems (MAS) and the mixt…
Empowering Wireless Networks with Artificial Intelligence Generated Graph
Jiacheng Wang, Yinqiu Liu, Hongyang Du +4
In wireless communications, transforming network into graphs and processing them using deep learning models, such as Graph Neural Networks (GNNs), is one of the mainstream network…
Enhancing Physical Layer Communication Security through Generative AI with Mixture of Experts
Changyuan Zhao, Hongyang Du, Dusit Niyato +6
AI technologies have become more widely adopted in wireless communications. As an emerging type of AI technologies, the generative artificial intelligence (GAI) gains lots of atten…
Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases
Geng Sun, Wenwen Xie, Dusit Niyato +4
As a form of artificial intelligence (AI) technology based on interactive learning, deep reinforcement learning (DRL) has been widely applied across various fields and has achieved…
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Minrui Xu, Dusit Niyato, Jiawen Kang +6
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, com…
Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments
Jiacheng Wang, Hongyang Du, Dusit Niyato +5
Groundbreaking applications such as ChatGPT have heightened research interest in generative artificial intelligence (GAI). Essentially, GAI excels not only in content generation bu…
Cross-Modal Generative Semantic Communications for Mobile AIGC: Joint Semantic Encoding and Prompt Engineering
Yinqiu Liu, Hongyang Du, Dusit Niyato +5
Employing massive Mobile AI-Generated Content (AIGC) Service Providers (MASPs) with powerful models, high-quality AIGC services can become accessible for resource-constrained end u…
Generative AI for Advanced UAV Networking
Geng Sun, Wenwen Xie, Dusit Niyato +5
With the impressive achievements of chatGPT and Sora, generative artificial intelligence (GAI) has received increasing attention. Not limited to the field of content generation, GA…
ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches
Yinqiu Liu, Hongyang Du, Dusit Niyato +5
Mobile AI-Generated Content (AIGC) has achieved great attention in unleashing the power of generative AI and scaling the AIGC services. By employing numerous Mobile AIGC Service Pr…
Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning
Jiahui Li, Geng Sun, Qingqing Wu +4
In this paper, we propose a distributed collaborative beamforming (DCB)-based uplink communication paradigm for enabling ground-space direct communications. Specifically, DCB treat…
Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse
Guangyuan Liu, Hongyang Du, Dusit Niyato +5
In the digital transformation era, Metaverse offers a fusion of virtual reality (VR), augmented reality (AR), and web technologies to create immersive digital experiences. However,…
Defining Problem from Solutions: Inverse Reinforcement Learning (IRL) and Its Applications for Next-Generation Networking
Yinqiu Liu, Ruichen Zhang, Hongyang Du +4
Performance optimization is a critical concern in networking, on which Deep Reinforcement Learning (DRL) has achieved great success. Nonetheless, DRL training relies on precisely d…
Generative AI for Game Theory-based Mobile Networking
Long He, Geng Sun, Dusit Niyato +5
With the continuous advancement of network technology, various emerging complex networking optimization problems have created a wide range of applications utilizing game theory. Ho…