539 citations · 808 across the 23 of their papers we have counts for
24 papers
Multi-Modal Graph Neural Network-Inspired Vessel Identification and Tracking for UAV-Based Maritime Surveillance
Chenjie Zhao, Jiangtian Nie, Jiawen Kang +2
The unmanned aerial vehicle (UAV)-based maritime surveillance is becoming an important part of maritime Internet of Things (IoT) and intelligent transportation systems. It provides…
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…
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…
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…
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…
Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse
Jiawen Kang, Xiaofeng Luo, Jiangtian Nie +6
Driven by the great advances in metaverse and edge computing technologies, vehicular edge metaverses are expected to disrupt the current paradigm of intelligent transportation syst…
Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach
Jiawen Kang, Yue Zhong, Minrui Xu +7
The synergy between Unmanned Aerial Vehicles (UAVs) and metaverses is giving rise to an emerging paradigm named UAV metaverses, which create a unified ecosystem that blends physica…
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…
From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks
Jinbo Wen, Jiangtian Nie, Jiawen Kang +4
Generative Artificial Intelligence (GAI) possesses the capabilities of generating realistic data and facilitating advanced decision-making. By integrating GAI into modern Internet…
Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration
Junhong Zhang, Jiangtian Nie, Jinbo Wen +4
Vehicular metaverses are an emerging paradigm that integrates extended reality technologies and real-time sensing data to bridge the physical space and digital spaces for intellige…
Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses
Xiaofeng Luo, Jinbo Wen, Jiawen Kang +5
The gradual fusion of intelligent transportation systems with metaverse technologies is giving rise to vehicular metaverses, which blend virtual spaces with physical space. As indi…
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…
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…
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…
Epidemic Model-based Network Influential Node Ranking Methods: A Ranking Rationality Perspective
Bing Zhang, Xuyang Zhao, Jiangtian Nie +4
Most recent surveys and reviews on Influential Node Ranking Methods (INRMs) hightlight discussions on the methods' technical details, but there still lacks in-depth research on the…
Blockchain-aided Secure Semantic Communication for AI-Generated Content in Metaverse
Yijing Lin, Hongyang Du, Dusit Niyato +4
The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between…
Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approaches
Xumin Huang, Weifeng Zhong, Jiangtian Nie +4
Metaverse as the next-generation Internet provides users with physical-virtual world interactions. To improve the quality of immersive experience, users access to Metaverse service…
Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI
Jiawen Kang, Dongdong Ye, Jiangtian Nie +6
The emerging industrial metaverses realize the mapping and expanding operations of physical industry into virtual space for significantly upgrading intelligent manufacturing. The i…
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer
Shiyao Ma, Jiangtian Nie, Jiawen Kang +5
With the rapid development of cloud manufacturing, industrial production with edge computing as the core architecture has been greatly developed. However, edge devices often suffer…
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang, Shiyao Ma, Jiangtian Nie +4
Federated Learning (FL) allows edge devices (or clients) to keep data locally while simultaneously training a shared high-quality global model. However, current research is general…
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu, Jiangtian Nie, Xuandi Li +3
Due to air quality significantly affects human health, it is becoming increasingly important to accurately and timely predict the Air Quality Index (AQI). To this end, this paper p…
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu, Sahil Garg, Jiangtian Nie +4
Since edge device failures (i.e., anomalies) seriously affect the production of industrial products in Industrial IoT (IIoT), accurately and timely detecting anomalies is becoming…
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)
Jiangtian Nie, Jun Luo, Zehui Xiong +2
Mobile crowdsensing has shown a great potential to address large-scale data sensing problems by allocating sensing tasks to pervasive mobile users. The mobile users will participat…
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
Jiangtian Nie, Zehui Xiong, Dusit Niyato +2
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsens…