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20232026
most citedBlockchain-assisted Twin Migration for Vehicular Metaverses: A Game Theory Approach

18 citations · 54 across the 32 of their papers we have counts for

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15 papers · 1 filter

cs.NI2026

A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks

Chongzhi Wu, Zhengtao Li, Jiawen Kang +4

Artificial Intelligence-Generated Content (AIGC) services employ Generative AI (GenAI) models to automatically generate diverse content. Mobile AIGC networks host GenAI models on e…

cs.NI2026

Graph-based Hierarchical Deep Reinforcement Learning for Deliverable Block Propagation with Optimal Hybrid Cost in Web 3.0

Shi Chen, Jinbo Wen, Jiawen Kang +4

Web 3.0 is envisioned as a decentralized paradigm, where blockchain serves as a core technology for transparent and tamper-proof data management. Among various blockchain architect…

cs.NI2026

Regularized Diffusion-based Contract Model for Covert Semantic Entropy Control in LAENets

Yansheng Liu, Jinbo Wen, Kun Zhu +2

Low-Altitude Economy Networks (LAENets) have emerged as a critical communication paradigm for operation-critical and regulation-aware applications, where Unmanned Aerial Vehicles (…

cs.NI2025

HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks

Jinbo Wen, Cheng Su, Jiawen Kang +5

Low-Altitude Economy Networks (LAENets) are emerging as a promising paradigm to support various low-altitude services through integrated air-ground infrastructure. To satisfy low-l…

cs.NI2025

Multi-Agent DRL for Multi-Objective Twin Migration Routing with Workload Prediction in 6G-enabled IoV

Peng Yin, Wentao Liang, Jinbo Wen +3

Sixth Generation (6G)-enabled Internet of Vehicles (IoV) facilitates efficient data synchronization through ultra-fast bandwidth and high-density connectivity, enabling the emergen…

cs.NI2025

Diffusion-based Dynamic Contract for Federated AI Agent Construction in Mobile Metaverses

Jinbo Wen, Jiawen Kang, Yang Zhang +5

Mobile metaverses are envisioned as a transformative digital ecosystem that delivers immersive, intelligent, and ubiquitous services through mobile devices. Driven by Large Languag…

cs.NI2024

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses

Xinru Wen, Jinbo Wen, Ming Xiao +5

Vehicular metaverses, blending traditional vehicular networks with metaverse technology, are expected to revolutionize fields such as autonomous driving. As virtual intelligent ass…

cs.NI2024★ 1 cited

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…

cs.NI2024

Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach

Jian Liu, Ming Xiao, Jinbo Wen +6

Mobile Artificial Intelligence-Generated Content (AIGC) networks enable massive users to obtain customized content generation services. However, users still need to download a larg…

cs.NI2024

Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems

Jinbo Wen, Jiawen Kang, Dusit Niyato +2

Industrial Cyber-Physical Systems (ICPSs) are an integral component of modern manufacturing and industries. By digitizing data throughout product life cycles, Digital Twins (DTs) i…

cs.NI2024★ 1 cited

Learning-based Big Data Sharing Incentive in Mobile AIGC Networks

Jinbo Wen, Yang Zhang, Yulin Chen +4

Rapid advancements in wireless communication have led to a dramatic upsurge in data volumes within mobile edge networks. These substantial data volumes offer opportunities for trai…

cs.NI2024

Diffusion Model-based Incentive Mechanism with Prospect Theory for Edge AIGC Services in 6G IoT

Jinbo Wen, Jiangtian Nie, Yue Zhong +5

The fusion of the Internet of Things (IoT) with Sixth-Generation (6G) technology has significant potential to revolutionize the IoT landscape. With the ultra-reliable and low-laten…

cs.NI2024★ 1 cited

Learning-based Power Control for Secure Covert Semantic Communication

Yansheng Liu, Jinbo Wen, Zongyao Zhang +4

Despite progress in semantic communication (SemCom), research on SemCom security is still in its infancy. To bridge this gap, we propose a general covert SemCom framework for wirel…

cs.NI2024★ 1 cited

Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models

Jinbo Wen, Ruichen Zhang, Dusit Niyato +4

By integrating Artificial Intelligence (AI) with the Internet of Things (IoT), Artificial Intelligence of Things (AIoT) has revolutionized many fields. However, AIoT is facing the…

cs.NI2023

Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study

Bingkun Lai, Jinbo Wen, Jiawen Kang +5

As the next-generation wireless communication system, Sixth-Generation (6G) technologies are emerging, enabling various mobile edge networks that can revolutionize wireless communi…