Scalable Fog Computing with Service Offloading in Bus Networks. - Dongdong Ye; Maoqiang Wu; Shensheng Tang; Rong Yu 001 (CSCloud, 2016)

Collaborative vehicle sensing in bus networks: A Stackelberg game approach. - Maoqiang Wu; Dongdong Ye; Shensheng Tang; Rong Yu 001 (ICCC, 2016)

A Hierarchical Pseudonyms Management Approach for Software-Defined Vehicular Networks. - Xumin Huang; Jiawen Kang 001; Rong Yu 001; Maoqiang Wu; Yan Zhang 002; Stein Gjessing (VTC Spring, 2016)

Optimal and Cooperative Energy Replenishment in Mobile Rechargeable Networks. - Maoqiang Wu; Dongdong Ye; Jiawen Kang 001; Haochuan Zhang; Rong Yu 001 (VTC Spring, 2016)

Optimized Workload Allocation in Vehicular Edge Computing: A Sequential Game Approach. - Dongdong Ye; Maoqiang Wu; Jiawen Kang 001; Rong Yu 001 (ChinaCom (2), 2017)

Collaborative data collection with hybrid vehicular crowd sensing in smart cities. - Maoqiang Wu; Dongdong Ye; Jiawen Kang 001; Rong Yu 001 (WCSP, 2017)

Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks. - Jiawen Kang 001; Rong Yu 001; Xumin Huang; Maoqiang Wu; Sabita Maharjan; Shengli Xie; Yan Zhang 002 (IEEE Internet Things J., 2019)

Evaluation of Inference Attack Models for Deep Learning on Medical Data. - Maoqiang Wu; Xinyue Zhang 001; Jiahao Ding; Hien Van Nguyen; Rong Yu 001; Miao Pan; Stephen T. Wong (CoRR, 2020)

To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices. - Pavana Prakash; Jiahao Ding; Maoqiang Wu; Minglei Shu; Rong Yu 001; Miao Pan (GLOBECOM, 2021)

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data. - Xinyue Zhang 001; Jiahao Ding; Maoqiang Wu; Stephen T. C. Wong; Hien Van Nguyen; Miao Pan (WACV, 2021)

Spears and shields: attacking and defending deep model co-inference in vehicular crowdsensing networks. - Maoqiang Wu; Dongdong Ye; Chaorui Zhang; Rong Yu 001 (EURASIP J. Adv. Signal Process., 2021)

Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach. - Maoqiang Wu; Dongdong Ye; Jiahao Ding; Yuanxiong Guo; Rong Yu 001; Miao Pan (IEEE Internet Things J., 2021)

To Talk or to Work: Dynamic Batch Sizes Assisted Time Efficient Federated Learning Over Future Mobile Edge Devices. - Dian Shi; Liang Li; Maoqiang Wu; Minglei Shu; Rong Yu 001; Miao Pan; Zhu Han 001 (IEEE Trans. Wirel. Commun., 2022)

Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality. - Maoqiang Wu; Guoliang Cheng; Pavana Prakash; Rong Yu 001; Xiaoming Xiong; Miao Pan (ITSC, 2023)

Federated Split Learning With Data and Label Privacy Preservation in Vehicular Networks. - Maoqiang Wu; Guoliang Cheng; Dongdong Ye; Jiawen Kang 001; Rong Yu 001; Yuan Wu 001; Miao Pan (IEEE Trans. Veh. Technol., 2024)

Split Learning with Differential Privacy for Integrated Terrestrial and Non-Terrestrial Networks. - Maoqiang Wu; Guoliang Cheng; Peichun Li; Rong Yu 001; Yuan Wu 001; Miao Pan; Rongxing Lu (IEEE Wirel. Commun., 2024)

Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning Over Vehicular Edge Networks. - Maoqiang Wu; Ruibin Yang; Xumin Huang; Yuan Wu 001; Jiawen Kang 001; Shengli Xie (IEEE Trans. Veh. Technol., 2024)

D-Tracking: Digital Twin Enabled Trajectory Tracking System of Autonomous Vehicles. - Yaqi Hu; Maoqiang Wu; Jiawen Kang 001; Rong Yu 001 (IEEE Trans. Veh. Technol., 2024)

Digital twin assisted multi-task offloading for vehicular edge computing under SAGIN with blockchain. - Qiyong Chen; Chunhai Li; Mingfeng Chen; Maoqiang Wu; Gen Zhang (IET Commun., 2025)

A Cloud-Edge Collaborative Architecture for Multimodal LLM-Based Advanced Driver Assistance Systems in IoT Networks. - Yaqi Hu; Dongdong Ye; Jiawen Kang 001; Maoqiang Wu; Rong Yu 001 (IEEE Internet Things J., 2025)

Digital-Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffic. - Xiaoxu Wang; Min Hao 001; Maoqiang Wu; Chen Shang; Rong Yu 001; Jiawen Kang 001; Zehui Xiong; Yuan Wu 001 (IEEE Internet Things J., 2025)

Large language model based system with causal inference and Chain-of-Thoughts reasoning for traffic scene risk assessment. - Wuchang Zhong; Jinglin Huang; Maoqiang Wu; Weinan Luo; Rong Yu 001 (Knowl. Based Syst., 2025)

Toward High-Accuracy and Low-Latency Group Vehicle Trajectory Prediction With Linear UNet-Enhanced Fully Connected Spatial-Temporal Graph Neural Network. - Zirui Zhang; Xumin Huang; Rong Yu 001; Maoqiang Wu; Jiawen Kang 001; Shengli Xie (IEEE Internet Things J., 2025)

The Butterfly Effect in Vehicular Digital Twin Systems: Complexity and Risk Analysis for Mixed-Traffic Scenarios. - Xiaoxu Wang; Maoqiang Wu; Min Hao 001; Dongdong Ye; Jiawen Kang 001; Rong Yu 001 (IEEE Trans. Veh. Technol., 2025)

LLM-Based Misbehavior Detection Architecture for Enhanced Traffic Safety in Connected Autonomous Vehicles. - Yaqi Hu; Fei Wang; Dongdong Ye; Maoqiang Wu; Jiawen Kang 001; Rong Yu 001 (IEEE Trans. Veh. Technol., 2025)