Vehicle-to-Cloudlet: Game-Based Computation Demand Response for Mobile Edge Computing through Vehicles. - Xi Lin 003; Jianhua Li 001; Wu Yang 001; Jun Wu 001; Zhifeng Zong; Xiaodong Wang (VTC Spring, 2019)

MBID: Micro-Blockchain-Based Geographical Dynamic Intrusion Detection for V2X. - Haoran Liang; Jun Wu 001; Shahid Mumtaz; Jianhua Li 001; Xi Lin 003; Miaowen Wen (IEEE Commun. Mag., 2019)

Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Microgrids Approach. - Jianan Li; Zhenyu Zhou 001; Jun Wu 001; Jianhua Li 001; Shahid Mumtaz; Xi Lin 003; Haris Gacanin; Sattam Al Otaibi (IEEE Trans. Comput. Soc. Syst., 2019)

Making Knowledge Tradable in Edge-AI Enabled IoT: A Consortium Blockchain-Based Efficient and Incentive Approach. - Xi Lin 003; Jianhua Li 001; Jun Wu 001; Haoran Liang; Wu Yang 001 (IEEE Trans. Ind. Informatics, 2019)

Side-Channel Analysis-Based Model Extraction on Intelligent CPS: An Information Theory Perspective. - Qianqian Pan; Jun Wu 001; Xi Lin 003; Jianhua Li 001 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2021)

Deep-Reinforcement-Learning-Based Cybertwin Architecture for 6G IIoT: An Integrated Design of Control, Communication, and Computing. - Hansong Xu; Jun Wu 001; Jianhua Li 001; Xi Lin 003 (IEEE Internet Things J., 2021)

Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City. - Xi Lin 003; Jun Wu 001; Shahid Mumtaz; Sahil Garg; Jianhua Li 001; Mohsen Guizani (IEEE Trans. Emerg. Top. Comput., 2021)

ZTEI: Zero-Trust and Edge Intelligence Empowered Continuous Authentication for Satellite Networks. - Peiyu Fu; Jun Wu 001; Xi Lin 003; Ao Shen (GLOBECOM, 2022)

Contrastive GNN-based Traffic Anomaly Analysis Against Imbalanced Dataset in IoT-based ITS. - Yang Wang; Xi Lin 003; Jun Wu 001; Ali Kashif Bashir; Wu Yang 001; Jianhua Li 001; Muhammad Imran 001 (GLOBECOM, 2022)

Joint Routing, Channel, and Key-Rate Assignment for Resource-Efficient QKD Networking. - Qiaolun Zhang; Omran Ayoub; Alberto Gatto 001; Jun Wu 001; Xi Lin 003; Francesco Musumeci 001; Giacomo Verticale; Massimo Tornatore (GLOBECOM, 2022)

Metric Learning-based Few-Shot Malicious Node Detection for IoT Backhaul/Fronthaul Networks. - Ke Zhou; Xi Lin 003; Jun Wu 001; Ali Kashif Bashir; Jianhua Li 001; Muhammad Imran 001 (GLOBECOM, 2022)

On-Demand Incentive Design for Security-Defense Resource Allocation in 6G Vehicular Edge Learning. - Hongyang Li; Xi Lin 003; Jun Wu 001 (ICC, 2022)

When digital twin meets deep reinforcement learning in multi-UAV path planning. - Siyuan Li 005; Xi Lin 003; Jun Wu 001; Ali Kashif Bashir; Raheel Nawaz (DroneCom@MobiCom, 2022)

Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design. - Xi Lin 003; Jun Wu 001; Ali Kashif Bashir; Jianhua Li 001; Wu Yang 001; Md. Jalil Piran (IEEE Internet Things J., 2022)

FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things. - Xi Lin 003; Jun Wu 001; Ali Kashif Bashir; Wu Yang 001; Aman Singh; Ahmad Ali AlZubi (IEEE Trans. Ind. Informatics, 2022)

Content Style-triggered Backdoor Attack in Non-IID Federated Learning via Generative AI. - Jinke Cheng; Gaolei Li; Xi Lin 003; Hao Peng 001; Jianhua Li 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification. - Qinghua Mao; Xi Lin 003; Gaolei Li; Lixing Chen; Yuchen Liu 001; Yuxin Qi; Jianhua Li 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Blockchain-Assisted UAV Data Free-Boundary Spatial Querying and Authenticated Sharing. - Ya Zhang; Xi Lin 003; Jun Wu 001; Bei Pei; Yunyun Han (CSCWD, 2023)

Toward the Tradeoffs Between Privacy, Fairness and Utility in Federated Learning. - Kangkang Sun; Xiaojin Zhang 002; Xi Lin 003; Gaolei Li; Jing Wang; Jianhua Li 001 (EISA, 2023)

Digital Twin and DRL-Driven Semantic Dissemination for 6G Autonomous Driving Service. - Yihang Tao; Jun Wu 001; Xi Lin 003; Shahid Mumtaz; Soumaya Cherkaoui (GLOBECOM, 2023)

SemSBA: Semantic-perturbed Stealthy Backdoor Attack on Federated Semi-supervised Learning. - Yingrui Tong; Jun Feng; Gaolei Li; Xi Lin 003; Chengcheng Zhao; Xiaoyu Yi 003; Jianhua Li 001 (ICPADS, 2023)

Wireless Coded Distributed Learning with Gaussian-based Local Differential Privacy. - Yilei Xue; Xi Lin 003; Jun Wu 001; Jianhua Li 001 (ISIT, 2023)

DPG-DT: Differentially Private Generative Digital Twin for Imbalanced Learning in Industrial IoT. - Siyuan Li 005; Xi Lin 003; Gaolei Li; Lixing Chen; Siyi Liao; Jing Wang; Jianhua Li 001 (MSN, 2023)

DRL-Driven Digital Twin Function Virtualization for Adaptive Service Response in 6G Networks. - Yihang Tao; Jun Wu 001; Xi Lin 003; Wu Yang 001 (IEEE Netw. Lett., 2023)

Blockchain-Enabled Lightweight Fine-Grained Searchable Knowledge Sharing for Intelligent IoT. - Jing Wang; Xi Lin 003; Yulei Wu; Jun Wu 001 (IEEE Internet Things J., 2023)

Heterogeneous Differential-Private Federated Learning: Trading Privacy for Utility Truthfully. - Xi Lin 003; Jun Wu 001; Jianhua Li 001; Chao Sang; Shiyan Hu 001; M. Jamal Deen (IEEE Trans. Dependable Secur. Comput., 2023)

Friend-as-Learner: Socially-Driven Trustworthy and Efficient Wireless Federated Edge Learning. - Xi Lin 003; Jun Wu 001; Jianhua Li 001; Xi Zheng 001; Gaolei Li (IEEE Trans. Mob. Comput., 2023)

Stochastic Digital-Twin Service Demand With Edge Response: An Incentive-Based Congestion Control Approach. - Xi Lin 003; Jun Wu 001; Jianhua Li 001; Wu Yang 001; Mohsen Guizani (IEEE Trans. Mob. Comput., 2023)

Secure Digital Twin Migration in Edge-Based Autonomous Driving System. - Yi Zhou; Jun Wu 001; Xi Lin 003; Ali Kashif Bashir; Yasser D. Al-Otaibi; Hansong Xu (IEEE Consumer Electron. Mag., 2023)

IC-QKD: An Information-Centric Quantum Key Distribution Network. - Qiaolun Zhang; Omran Ayoub; Jun Wu 001; Xi Lin 003; Massimo Tornatore (IEEE Commun. Mag., 2023)

Game-Aided Blockchain Twin for Incentive and Relay-Free Model Sharing in Heterogeneous Chain-Driven Swarm Learning. - Yuxin Qi; Xi Lin 003; Jun Wu 001; Yunyun Han (IEEE Syst. J., 2023)

Privacy-Preserving Cross-Area Traffic Forecasting in ITS: A Transferable Spatial-Temporal Graph Neural Network Approach. - Yuxin Qi; Jun Wu 001; Ali Kashif Bashir; Xi Lin 003; Wu Yang 001; Mohammad Dahman Alshehri (IEEE Trans. Intell. Transp. Syst., 2023)

Digital Twin and Artificial Intelligence-Empowered Panoramic Video Streaming: Reducing Transmission Latency in the Extended Reality-Assisted Vehicular Metaverse. - Siyuan Li 005; Xi Lin 003; Jun Wu 001; Wei Zhang; Jianhua Li 001 (IEEE Veh. Technol. Mag., 2023)

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. - Wanfang Su; Lixing Chen; Yang Bai 010; Xi Lin 003; Gaolei Li; Zhe Qu; Pan Zhou 001 (AAAI, 2024)

BlockAgents: Towards Byzantine-Robust LLM-Based Multi-Agent Coordination via Blockchain. - Bei Chen; Gaolei Li; Xi Lin 003; Zheng Wang 045; Jianhua Li 001 (ACM TUR-C, 2024)

Trading Trust for Privacy: Socially-Motivated Personalized Privacy-Preserving Collaborative Learning in IoT. - Yuliang Chen; Xi Lin 003; Gaolei Li; Lixing Chen; Jing Wang; Siyi Liao; Jianhua Li 001 (CSCWD, 2024)

OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization. - Siyuan Li 005; Xi Lin 003; Yaju Liu; Gaolei Li; Jianhua Li 001 (HotOptics@SIGCOMM, 2024)

Learning-Based DApp Task Scheduling for Elastic Hybrid Computing in Edge Web 3.0. - Xichun Cai; Lixing Chen; Yang Bai 010; Xi Lin 003; Gaolei Li; Jianhua Li 001 (ICC, 2024)

Scale Wisely, Secure Wholly: P2P Swarm Learning Over Consortium Blockchain in Edge Networks. - Feng Gao; Lixing Chen; Quanhai Zhang; Gaolei Li; Xi Lin 003; Yang Bai 010; Jianhua Li 001 (ICC, 2024)

Leveraging Blockchain and Coded Computing for Secure Edge Collaborate Learning in Industrial IoT. - Yuliang Chen; Xi Lin 003; Hansong Xu; Siyi Liao; Jin Guo; Chunming Zou (ICCCN, 2024)

Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networks. - Siyuan Li 005; Xi Lin 003; Hansong Xu; Kun Hua; Xiaomin Jin; Gaolei Li; Jianhua Li 001 (INFOCOM (Workshops), 2024)

LateBA: Latent Backdoor Attack on Deep Bug Search via Infrequent Execution Codes. - Xiaoyu Yi 003; Gaolei Li; Wenkai Huang 003; Xi Lin 003; Jianhua Li 001; Yuchen Liu 001 (Internetware, 2024)

Towards Multi-Task Generative-AI Edge Services with an Attention-based Diffusion DRL Approach. - Yaju Liu; Xi Lin 003; Siyuan Li 005; Gaolei Li; Qinghua Mao; Jianhua Li 001 (SmartCloud, 2024)

Leveraging Neural Radiance Field and Semantic Communication for Robust 3D Reconstruction. - Rui Xu; Gaolei Li; Xi Lin 003; Yuchen Liu 001; Mingzhe Chen; Jianhua Li 001 (VTC Fall, 2024)

Local Differential Private Spatio- Temporal Dynamic Graph Learning for Wireless Social Networks. - Jiani Zhu; Xi Lin 003; Yuxin Qi; Gaolei Li; Chaofeng Zhang; Jianhua Li 001 (WCNC, 2024)

LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning. - Yuxin Qi; Xi Lin 003; Ziyao Liu; Gaolei Li; Jingyu Wang 005; Jianhua Li 001 (WWW (Companion Volume), 2024)

Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices. - Hanqing Fu; Gaolei Li; Jun Wu 001; Jianhua Li 001; Xi Lin 003; Kai Zhou 001; Yuchen Liu 001 (CoRR, 2024)

Trustworthy AI-Generative Content in Intelligent 6G Network: Adversarial, Privacy, and Fairness. - Siyuan Li 005; Xi Lin 003; Yaju Liu; Jianhua Li 001 (CoRR, 2024)

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning. - Jiani Zhu; Xi Lin 003; Yuxin Qi; Qinghua Mao (CoRR, 2024)

Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges. - Ao Ding; Gaolei Li; Xiaoyu Yi 003; Xi Lin 003; Jianhua Li 001; Chaofeng Zhang (IEEE Softw., 2024)

AI-Generated Content-Based Edge Learning for Fast and Efficient Few-Shot Defect Detection in IIoT. - Siyuan Li 005; Xi Lin 003; Wenchao Xu 001; Jianhua Li 001 (IEEE Trans. Serv. Comput., 2024)

Integrating Blockchain and Deep Learning Into Extremely Resource-Constrained IoT: An Energy-Saving Zero-Knowledge PoL Approach. - Heyi Zhang; Jun Wu 001; Xi Lin 003; Ali Kashif Bashir; Yasser D. Al-Otaibi (IEEE Internet Things J., 2024)

Joint Top-K Sparsification and Shuffle Model for Communication-Privacy-Accuracy Tradeoffs in Federated-Learning-Based IoV. - Kangkang Sun; Hansong Xu; Kun Hua; Xi Lin 003; Gaolei Li; Tigang Jiang; Jianhua Li 001 (IEEE Internet Things J., 2024)

HSESR: Hierarchical Software Execution State Representation for Ultralow-Latency Threat Alerting Over Internet of Things. - Xiaoyu Yi 003; Gaolei Li; Bei Chen; Xi Lin 003; Zhiyuan Peng; Yuchen Liu 001; Jianhua Li 001 (IEEE Internet Things J., 2024)

Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks. - Zifan Zhang; Minghong Fang; Mingzhe Chen; Gaolei Li; Xi Lin 003; Yuchen Liu 001 (IEEE Internet Things J., 2024)

Map-Driven mmWave Link Quality Prediction With Spatial-Temporal Mobility Awareness. - Zhizhen Li; Mingzhe Chen; Gaolei Li; Xi Lin 003; Yuchen Liu 001 (IEEE Trans. Mob. Comput., 2024)

Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation. - Yuxin Qi; Quan Zhang; Xi Lin 003; Xiu Su; Jiani Zhu; Jingyu Wang 005; Jianhua Li 001 (AAAI, 2025)

FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection. - Qinghua Mao; Xi Lin 003; Wenchao Xu 001; Yuxin Qi; Xiu Su; Gaolei Li; Jianhua Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks. - Yuxin Qi; Xi Lin 003; Jiani Zhu; Ningyi Liao; Jianhua Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Global or Local Adaptation? Client-Sampled Federated Meta-Learning for Personalized IoT Intrusion Detection. - Haorui Yan; Xi Lin 003; Shenghong Li 001; Hao Peng 002; Bo Zhang 063 (IEEE Trans. Inf. Forensics Secur., 2025)

QoS-Aware Multi-AIGC Service Orchestration at Edges: An Attention-Diffusion-Aided DRL Method. - Yaju Liu; Siyuan Li 005; Xi Lin 003; Xiuzhen Chen; Gaolei Li; Yuchen Liu 001; Bolin Liao; Jianhua Li 001 (IEEE Trans. Cogn. Commun. Netw., 2025)

HXRL: Explainable DRL-Enhanced Reliable VR Video Streaming for Immersive Smart Healthcare. - Ye Wang; Siyuan Li 005; Xi Lin 003; Yang Bai 010; Jianqi Yu; Lixing Chen; Bo Yang 006; Xinping Guan (IEEE Internet Things J., 2025)