An Incentive Mechanism for Nondeterministic Vehicular Crowdsensing with Blockchain. - Fan Li; Yuchuan Fu; Pincan Zhao; Changle Li (ICCC, 2020)

A Novel Cost-Effective IoT-Based Traffic Flow Detection Scheme for Smart Roads. - Zhao Liu; Changle Li; Hui Wang 011; Yunpeng Wang; Yilong Hui; Guoqiang Mao; Pincan Zhao (ICCC, 2020)

A Reliability-Aware Adaptive Greedy-Multicast Routing Protocol for 3D Highly Dynamic Networks. - Su Wang; Wengang Li; Pincan Zhao; Yuchuan Fu; Changle Li (VTC Spring, 2020)

Blockchain-Enabled Targeted Information Dissemination Framework in Vehicular Networks. - Pincan Zhao; Yuchuan Fu; Fan Li; Peiang Zuo; Hehe Zhang; Changle Li (VTC Fall, 2020)

Autonomous Braking Algorithm for Rear-End Collision via Communication-Efficient Federated Learning. - Sha Liu; Yuchuan Fu; Pincan Zhao; Fan Li; Changle Li (GLOBECOM, 2021)

Targeted Dissemination of Emergency Information: Joint Traffic and Communication Optimization. - Hehe Zhang; Wenwei Yue; Yue Chen; Yao Zhang 005; Pincan Zhao; Changle Li (ICC, 2021)

Multi - Task Assignment Strategy for Vehicular Crowdsensing with Clustering Characteristic. - Fan Li; Yuchuan Fu; Pincan Zhao; Sha Liu; Changle Li (VTC Fall, 2021)

A Secure and Privacy Preserving Incentive Mechainism for Vehicular Crowdsensing with Data Quality Assurance. - Fan Li; Xiaoru Li; Yuchuan Fu; Pincan Zhao; Sha Liu (VTC Fall, 2021)

A Dynamic Spatiotemporal Prediction Method for Urban Network Traffic. - Zhenyu Li; Yuchuan Fu; Pincan Zhao; Changle Li (VTC Fall, 2022)

Secure and Personalized Edge Computing Services in 6G Heterogeneous Vehicular Networks. - Yilong Hui; Nan Cheng; Zhou Su; Yuanhao Huang; Pincan Zhao; Tom H. Luan; Changle Li (IEEE Internet Things J., 2022)

Blockchain-Enabled Conditional Decentralized Vehicular Crowdsensing System. - Pincan Zhao; Changle Li; Yuchuan Fu; Yilong Hui; Yao Zhang 005; Nan Cheng (IEEE Trans. Intell. Transp. Syst., 2022)

Enhanced 3D Sensor Deployment Method for Cooperative Sensing in Connected and Autonomous Vehicles. - Pincan Zhao; Changle Li; F. Richard Yu; Yuchuan Fu (DIVANet, 2023)

A Rotating Server Scheme for Secure Federated Learning in Networked Autonomous Driving. - Tianyu Chang; Yuchuan Fu; Pincan Zhao; Lingling Zhou; Changle Li; Nan Cheng (VTC Fall, 2023)

Hierarchical Blockchain-enabled Federated Learning with Reputation Management for Mobile Internet of Vehicles. - Lingling Zhou; Yuchuan Fu; Pincan Zhao; Sha Liu; Tianyu Chang; Changle Li (VTC2023-Spring, 2023)

A Survey of Blockchain and Intelligent Networking for the Metaverse. - Yuchuan Fu; Changle Li; F. Richard Yu; Tom H. Luan; Pincan Zhao; Sha Liu (IEEE Internet Things J., 2023)

An Incentive Mechanism for Vehicular Crowdsensing With Security Protection and Data Quality Assurance. - Xuelian Cai; Lingling Zhou; Fan Li; Yuchuan Fu; Pincan Zhao; Changle Li; F. Richard Yu (IEEE Trans. Veh. Technol., 2023)

On-Demand Self-Media Data Trading in Heterogeneous Vehicular Networks. - Yilong Hui; Yuanhao Huang; Changle Li; Nan Cheng; Pincan Zhao; Rui Chen 001; Tom H. Luan (IEEE Trans. Veh. Technol., 2023)

An Incentive Mechanism of Incorporating Supervision Game for Federated Learning in Autonomous Driving. - Yuchuan Fu; Changle Li; F. Richard Yu; Tom H. Luan; Pincan Zhao (IEEE Trans. Intell. Transp. Syst., 2023)

Enhancing Security and Privacy in Connected and Autonomous Vehicles: A Post-Quantum Revocable Ring Signature Approach. - Qingmei Yang; Pincan Zhao; Yuchuan Fu; F. Richard Yu (TrustCom, 2024)

Enhancing Security and Efficiency in Vehicle-to-Sensor Authentication: A Multi-Factor Approach with Cloud Assistance. - Xinrui Zhang; Pincan Zhao; Jason Jaskolka (TrustCom, 2024)

Navigating the DevOps landscape. - Xinrui Zhang; Pincan Zhao; Jason Jaskolka (J. Syst. Softw., 2025)

Enhancing Federated Learning in Connected and Autonomous Vehicles Through Cost Optimization and Advanced Model Selection. - Xuelian Cai; Pincan Zhao; Sha Liu; Yuchuan Fu; Changle Li; Fei Richard Yu (IEEE Trans. Intell. Transp. Syst., 2025)

An Enhanced 3D Sensor Deployment Method for Intelligent Cooperative Sensing in Connected and Autonomous Vehicles. - Pincan Zhao; Changle Li; F. Richard Yu; Yuchuan Fu (IEEE Trans. Intell. Transp. Syst., 2025)

Industrial Internet of Things With Large Language Models (LLMs): An Intelligence-Based Reinforcement Learning Approach. - Yuzheng Ren; Haijun Zhang 001; Fei Richard Yu; Wei Li 240; Pincan Zhao; Ying He 006 (IEEE Trans. Mob. Comput., 2025)

Intelligent Cooperative Sensing for Connected and Autonomous Vehicles: An Improved Decision Transformer Approach. - Pincan Zhao; Changle Li; Xinrui Zhang; F. Richard Yu; Yuchuan Fu (IEEE Internet Things J., 2025)

Incentivizing Cooperative Sensing Sharing Ecosystem for Connected and Autonomous Vehicles. - Changle Li; Pincan Zhao; F. Richard Yu; Yuchuan Fu (IEEE Trans. Intell. Transp. Syst., 2025)