18 citations · 54 across the 32 of their papers we have counts for
33 papers
RVSD: Retrieval Vision Sparse Decoding for Mitigating Visual Hallucinations in Large Vision-Language Models
Canjie Liu, Jiawen Kang, Jinbo Wen +1
Large vision-language models have achieved remarkable success in vision-language tasks. However, they remain prone to Visual Hallucinations (VHs), undermining their reliability in…
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…
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…
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 (…
ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
Tenghui Huang, Jinbo Wen, Jiawen Kang +8
Smart contracts play a significant role in automating blockchain services. Nevertheless, vulnerabilities in smart contracts pose serious threats to blockchain security. Currently,…
LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0
Jinbo Wen, Jiawen Kang, Linfeng Zhang +5
Web 3.0 represents the next generation of the Internet, which is widely recognized as a decentralized ecosystem that focuses on value expression and data ownership. By leveraging b…
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…
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
Yingkai Kang, Jiawen Kang, Jinbo Wen +4
Vehicular metaverses are an emerging paradigm that merges intelligent transportation systems with virtual spaces, leveraging advanced digital twin and Artificial Intelligence (AI)…
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…
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…
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
Jiawen Kang, Jiana Liao, Runquan Gao +7
By synergistically integrating mobile networks and embodied artificial intelligence (AI), Mobile Embodied AI Networks (MEANETs) represent an advanced paradigm that facilitates auto…
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…
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…
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks
Yue Zhong, Jiawen Kang, Jinbo Wen +5
Embodied AI is a rapidly advancing field that bridges the gap between cyberspace and physical space, enabling a wide range of applications. This evolution has led to the developmen…
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…
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…
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…
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…
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…
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…
Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach
Cheng Su, Jinbo Wen, Jiawen Kang +5
Secure data management and effective data sharing have become paramount in the rapidly evolving healthcare landscape, especially with the growing integration of the Internet of Med…
Optimizing Information Propagation for Blockchain-empowered Mobile AIGC: A Graph Attention Network Approach
Jiana Liao, Jinbo Wen, Jiawen Kang +5
Artificial Intelligence-Generated Content (AIGC) is a rapidly evolving field that utilizes advanced AI algorithms to generate content. Through integration with mobile edge networks…
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…
Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0
Jiana Liao, Jinbo Wen, Jiawen Kang +6
Web 3.0 is recognized as a pioneering paradigm that empowers users to securely oversee data without reliance on a centralized authority. Blockchains, as a core technology to realiz…