Explanipedia

DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond Open

Guanjie Li, Tom H. Luan, Chengzhe Lai, Jinkai Zheng, Rongxing Lu · 2025

With the rapid development and extensive deployment of the fifth-generation wireless system (5G), it has achieved ubiquitous high-speed connectivity and improved overall communication performance. Additionally, as one of the promising tech…

SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models Open

Fahao Chen, Peng Li, Tom H. Luan, Su Zhou, Jing Deng · 2025

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 a so-called speculation phase, which are subsequently verif…

STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets Open

Mingshuo Xu, Tom H. Luan, Zhou Hao, Jigen Peng, Shigang Yue · 2025

Recognizing motions of tiny targets - only few dozen pixels - in cluttered backgrounds remains a fundamental challenge when standard feature-based or deep learning methods fail under scarce visual cues. We propose STMDNet, a model-based co…

Internet of Agents: Fundamentals, Applications, and Challenges Open

Yuntao Wang, Shaolong Guo, Yanghe Pan, Zhou Su, Fahao Chen , et al. · 2025

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 capable of perceiving, reasoning, and acting without human …

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis Open

X. Gary Tan, Tom H. Luan, Mingyu Luo, Xiaoyan Sun, Ping Chen , et al. · 2025

Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions Open

Zhendong Li, Jianle Ba, Su Zhou, Jianyu Huang, H. P. Peng , et al. · 2024

The movable antenna (MA)-enabled integrated sensing and communication (ISAC) system attracts widespread attention as an innovative framework. The ISAC system integrates sensing and communication functions, achieving resource sharing across…

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis Open

X. Gary Tan, Tom H. Luan, Mingyu Luo, Xiaoyan Sun, Ping Chen , et al. · 2024

Retrieval-Augmented Generation (RAG) enriches the input to LLMs by retrieving information from the relevant knowledge database, enabling them to produce responses that are more accurate and contextually appropriate. It is worth noting that…

AI-Native Network Digital Twin for Intelligent Network Management in 6G Open

Wen Wu, Xinyu Huang, Tom H. Luan · 2024

As a pivotal virtualization technology, network digital twin is expected to accurately reflect real-time status and abstract features in the on-going sixth generation (6G) networks. In this article, we propose an artificial intelligence (A…

Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends Open

Yuntao Wang, Yanghe Pan, Quan Zhao, Yi Deng, Zhou Su , et al. · 2024

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 future, LM-driven general AI agents will serve as essential too…

A Secure and Lightweight Data Sharing Scheme in Vehicular Digital Twin Network Open

Guanjie Li, Tom H. Luan, Jinkai Zheng, Dihao Hu, Jie Cao , et al. · 2024

The vehicular digital twin network (VDTN) comprises digital twins (DTs) that enable seamless communication and data transmission. This network effectively maps the Internet of Vehicles (IoV) into cyberspace, facilitating stable and efficie…

Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges Open

Nan Cheng, Xiucheng Wang, Zan Li Zhisheng Yin, Tom H. Luan, Xuemin Shen · 2024

This article presents a digital twin (DT)-enhanced reinforcement learning (RL) framework aimed at optimizing performance and reliability in network resource management, since the traditional RL methods face several unified challenges when …

A Survey on Semantic Communication Networks: Architecture, Security, and Privacy Open

Shaolong Guo, Yuntao Wang, Ning Zhang, Zhou Su, Tom H. Luan , et al. · 2024

With the rapid advancement and deployment of intelligent agents and artificial general intelligence (AGI), a fundamental challenge for future networks is enabling efficient communications among agents. Unlike traditional human-centric, dat…

Guest Editorial Special Issue on Internet of Things for Smart Ocean Open

Bin Lin, Lian Zhao, Himal A. Suraweera, Tom H. Luan, Dusit Niyato , et al. · 2024

The Internet of Things (IoT) for smart ocean is a promising paradigm that will support emerging applications in the areas of maritime transport, emergency search and rescue, security and border surveillance, environmental protection, etc. …

Guest Editorial Special Issue on Internet of Things for Smart Ocean Open

Bin Lin, Lian Zhao, Himal A. Suraweera, Tom H. Luan, Dusit Niyato , et al. · 2024

The Internet of Things (IoT) for smart ocean is a promising paradigm that will support emerging applications in the areas of maritime transport, emergency search and rescue, security and border surveillance, environmental protection, etc. …

Secured and Cooperative Publish/Subscribe Scheme in Autonomous Vehicular Networks Open

Yuntao Wang, Zhou Su, Qichao Xu, Tom H. Luan, Rongxing Lu · 2024

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 computing results among neighbors. However, the intense collabora…

A Simulation Method for Offshore Inclined Cylinder Under the Coupling Loads of Wind, Wave and Earthquake Open

Hai Lin, Tom H. Luan, Hassan Karampour, S. Zhang, Lei Yang , et al. · 2024

Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning Open

Yao Zhang, Zhiwen Yu, Jun Zhang, Liang Wang, Tom H. Luan , et al. · 2023

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 traffic lights and road networks, attaining controller adaptivity…

Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks Open

Xiucheng Wang, Nan Cheng, Longfei Ma, Zhisheng Yin, Tom H. Luan , et al. · 2023

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 UAVs and the environment, which consumes lots of energy due to…

Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks Open

Zhaowei Wang, Zhisheng Yin, Xiucheng Wang, Nan Cheng, Yuan Zhang , et al. · 2023

In Space-air-ground integrated networks (SAGIN), the inherent openness and extensive broadcast coverage expose these networks to significant eavesdropping threats. Considering the inherent co-channel interference due to spectrum sharing am…

Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach Open

Xiucheng Wang, Nan Cheng, Lianhao Fu, Wei Quan, Ruijin Sun , et al. · 2023

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 challenges in neural network (NN)-based optimization methods: …

A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions Open

Yuntao Wang, Yanghe Pan, Miao Yan, Zhou Su, Tom H. Luan · 2023

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 in content creation and knowledge representation. AIGC uses…

SEAL: A Strategy-Proof and Privacy-Preserving UAV Computation Offloading Framework Open

Yuntao Wang, Zhou Su, Tom H. Luan, Jiliang Li, Qichao Xu , et al. · 2023

Due to the limited battery and computing resource, offloading unmanned aerial vehicles (UAVs)' computation tasks to ground infrastructure, e.g., vehicles, is a fundamental framework. Under such an open and untrusted environment, vehicles a…

From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding Open

Borui Cai, Yang Xiang, Longxiang Gao, Di Wu, He Zhang , et al. · 2023

Knowledge graph embedding (KGE) that maps entities and relations into vector representations is essential for downstream applications. Conventional KGE methods require high-dimensional representations to learn the complex structure of know…

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Open

yuntao wang, Zhou Su, Shaolong Guo, Minghui Dai, Tom H. Luan , et al. · 2023

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. Via interconnecting massive physical entities and their v…

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Open

Yuntao Wang, Zhou Su, Shaolong Guo, Minghui Dai, Tom H. Luan , et al. · 2023

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. Via interconnecting massive physical entities and their v…

Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning Open

Yuntao Wang, Zhou Su, Yanghe Pan, Abderrahim Benslimane, Yiliang Liu , et al. · 2023

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 practice to offer formal privacy guarantees with low overhea…

An Empirical Study on Model Pruning and Quantization Open

Yuzhe Tian, Tom H. Luan, Xi Zheng · 2023

A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions Open

Yuntao Wang, Yanghe Pan, Miao Yan, Zhou Su, Tom H. Luan · 2023

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 in content creation and knowledge representation. AIGC uses…

Social-Aware Clustered Federated Learning with Customized Privacy Preservation Open

Yuntao Wang, Zhou Su, Yanghe Pan, Tom H. Luan, Ruidong Li , et al. · 2022

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 result, recent research often explores the differential priv…

A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue Open

Yuntao Wang, Zhou Su, Qichao Xu, Ruidong Li, Tom H. Luan , et al. · 2022

Unmanned aerial vehicles (UAVs) have the potential to establish flexible and reliable emergency networks in disaster sites when terrestrial communication infrastructures go down. Nevertheless, potential security threats may occur on UAVs d…

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