Maoqiang Wu

According to our database, Maoqiang Wu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

D-Tracking: Digital Twin Enabled Trajectory Tracking System of Autonomous Vehicles.

Yaqi Hu, Maoqiang Wu, Jiawen Kang, Rong Yu

IEEE Trans. Veh. Technol., November, 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, Jiawen Kang, Shengli Xie

IEEE Trans. Veh. Technol., October, 2024

Split Learning with Differential Privacy for Integrated Terrestrial and Non-Terrestrial Networks.

Maoqiang Wu, Guoliang Cheng, Peichun Li, Rong Yu, Yuan Wu, Miao Pan, Rongxing Lu

IEEE Wirel. Commun., June, 2024

Federated Split Learning With Data and Label Privacy Preservation in Vehicular Networks.

Maoqiang Wu, Guoliang Cheng, Dongdong Ye, Jiawen Kang, Rong Yu, Yuan Wu, Miao Pan

IEEE Trans. Veh. Technol., January, 2024

2023

Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality.

Maoqiang Wu, Guoliang Cheng, Pavana Prakash, Rong Yu, Xiaoming Xiong, Miao Pan

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

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, Miao Pan, Zhu Han

IEEE Trans. Wirel. Commun., 2022

2021

Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach.

Maoqiang Wu, Dongdong Ye, Jiahao Ding, Yuanxiong Guo, Rong Yu, Miao Pan

IEEE Internet Things J., 2021

Spears and shields: attacking and defending deep model co-inference in vehicular crowdsensing networks.

Maoqiang Wu, Dongdong Ye, Chaorui Zhang, Rong Yu

EURASIP J. Adv. Signal Process., 2021

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data.

Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T. C. Wong, Hien Van Nguyen, Miao Pan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices.

Pavana Prakash, Jiahao Ding, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan

Proceedings of the IEEE Global Communications Conference, 2021

2020

Evaluation of Inference Attack Models for Deep Learning on Medical Data.

Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong

CoRR, 2020

2019

Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks.

Jiawen Kang, Rong Yu, Xumin Huang, Maoqiang Wu, Sabita Maharjan, Shengli Xie, Yan Zhang

IEEE Internet Things J., 2019

2017

Collaborative data collection with hybrid vehicular crowd sensing in smart cities.

Maoqiang Wu, Dongdong Ye, Jiawen Kang, Rong Yu

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Optimized Workload Allocation in Vehicular Edge Computing: A Sequential Game Approach.

Dongdong Ye, Maoqiang Wu, Jiawen Kang, Rong Yu

Proceedings of the Communications and Networking, 2017

2016

Optimal and Cooperative Energy Replenishment in Mobile Rechargeable Networks.

Maoqiang Wu, Dongdong Ye, Jiawen Kang, Haochuan Zhang, Rong Yu

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

A Hierarchical Pseudonyms Management Approach for Software-Defined Vehicular Networks.

Xumin Huang, Jiawen Kang, Rong Yu, Maoqiang Wu, Yan Zhang, Stein Gjessing

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Collaborative vehicle sensing in bus networks: A Stackelberg game approach.

Maoqiang Wu, Dongdong Ye, Shensheng Tang, Rong Yu

Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016

Scalable Fog Computing with Service Offloading in Bus Networks.

Dongdong Ye, Maoqiang Wu, Shensheng Tang, Rong Yu

Proceedings of the 3rd IEEE International Conference on Cyber Security and Cloud Computing, 2016