1.3k citations · 2.3k across the 35 of their papers we have counts for
36 papers
Dual-Layer Over-the-Air Federated Learning in LEO Satellite Networks: Architecture, Key Technologies and Applications
Zhendong Li, Shaojie Wang, Zhou Su +4
Low Earth orbit (LEO) satellite networks are emerging as a pivotal infrastructure for global edge intelligence. In this context, integrating over-the-air (OTA) computation with ada…
GML-Based Optimization for Movable Antenna Wireless Networks: Challenges and Opportunities
Zhendong Li, Yujie Zhao, Zhou Su +4
Movable antenna (MA) is proposed as an emerging technology for future wireless networks. By leveraging the additional spatial degrees of freedom, MA can proactively reshape the wir…
FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification
Xuanhao Qi, Tom H. Luan, Yukang Zhang +4
Despite significant progress in multi-modal Re-Identification (ReID), existing methods tend to emphasize low-frequency cues. Consequently, they focus on attributes such as color, i…
Low-Complexity Sparse Superimposed Coding for Ultra Reliable Low Latency Communications
Yanfeng Zhang, Xi'an Fan, Xu Zhu +4
Sparse superimposed coding (SSC) has emerged as a promising technique for short-packet transmission in ultra-reliable low-latency communication scenarios. However, conventional SSC…
Digital Twin-Driven Secure Access Strategy for SAGIN-Enabled IoT Networks
Hui Liang, Zhihui Wu, Runqi Yuan +4
In space-air-ground integrated networks (SAGIN)-enabled IoT networks, secure access has become a significant challenge due to the increasing risks of eavesdropping attacks. To addr…
Agent Discovery in Internet of Agents: Challenges and Solutions
Shaolong Guo, Yuntao Wang, Zhou Su +3
Rapid advances in large language models and agentic AI are driving the emergence of the Internet of Agents (IoA), a paradigm where billions of autonomous software and embodied agen…
DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond
Guanjie Li, Tom H. Luan, Chengzhe Lai +2
With the rapid development and extensive deployment of the fifth-generation wireless system (5G), it has achieved ubiquitous high-speed connectivity and improved overall communicat…
Internet of Agents: Fundamentals, Applications, and Challenges
Yuntao Wang, Shaolong Guo, Yanghe Pan +6
With the rapid proliferation of large language models and vision-language models, AI agents have evolved from isolated, task-specific systems into autonomous, interactive entities…
SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models
Fahao Chen, Peng Li, Tom H. Luan +2
Speculative decoding has been shown as an effective way to accelerate Large Language Model (LLM) inference by using a Small Speculative Model (SSM) to generate candidate tokens in…
Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions
Zhendong Li, Jianle Ba, Zhou Su +5
The movable antenna (MA)-enabled integrated sensing and communication (ISAC) system attracts widespread attention as an innovative framework. The ISAC system integrates sensing and…
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…
Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
Nan Cheng, Xiucheng Wang, Zan Li +3
This article presents a digital twin (DT)-enhanced reinforcement learning (RL) framework aimed at optimizing performance and reliability in network resource management, since the t…
A Survey on Semantic Communication Networks: Architecture, Security, and Privacy
Shaolong Guo, Yuntao Wang, Ning Zhang +5
With the rapid advancement and deployment of intelligent agents and artificial general intelligence (AGI), a fundamental challenge for future networks is enabling efficient communi…
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning
Yao Zhang, Zhiwen Yu, Jun Zhang +4
This paper considers optimal traffic signal control in smart cities, which has been taken as a complex networked system control problem. Given the interacting dynamics among traffi…
Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks
Xiucheng Wang, Nan Cheng, Longfei Ma +3
Deep Reinforcement Learning (DRL) is widely used to optimize the performance of multi-UAV networks. However, the training of DRL relies on the frequent interactions between the UAV…
Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks
Zhaowei Wang, Zhisheng Yin, Xiucheng Wang +3
In Space-air-ground integrated networks (SAGIN), the inherent openness and extensive broadcast coverage expose these networks to significant eavesdropping threats. Considering the…
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach
Xiucheng Wang, Nan Cheng, Lianhao Fu +5
Deep learning has been successfully adopted in mobile edge computing (MEC) to optimize task offloading and resource allocation. However, the dynamics of edge networks raise two cha…
SEAL: A Strategy-Proof and Privacy-Preserving UAV Computation Offloading Framework
Yuntao Wang, Zhou Su, Tom H. Luan +3
Due to the limited battery and computing resource, offloading unmanned aerial vehicles (UAVs)' computation tasks to ground infrastructure, e.g., vehicles, is a fundamental framewor…
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Yuntao Wang, Yanghe Pan, Miao Yan +2
With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift…
Secured and Cooperative Publish/Subscribe Scheme in Autonomous Vehicular Networks
Yuntao Wang, Zhou Su, Qichao Xu +2
In order to save computing power yet enhance safety, there is a strong intention for autonomous vehicles (AVs) in future to drive collaboratively by sharing sensory data and comput…
Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning
Yuntao Wang, Zhou Su, Yanghe Pan +4
To prevent implicit privacy disclosure in sharing gradients among data owners (DOs) under federated learning (FL), differential privacy (DP) and its variants have become a common p…
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
Yuntao Wang, Zhou Su, Shaolong Guo +3
By interacting, synchronizing, and cooperating with its physical counterpart in real time, digital twin is promised to promote an intelligent, predictive, and optimized modern city…
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
Yuntao Wang, Zhou Su, Yanghe Pan +3
A key feature of federated learning (FL) is to preserve the data privacy of end users. However, there still exist potential privacy leakage in exchanging gradients under FL. As a r…
A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue
Yuntao Wang, Zhou Su, Qichao Xu +3
Unmanned aerial vehicles (UAVs) have the potential to establish flexible and reliable emergency networks in disaster sites when terrestrial communication infrastructures go down. N…