Pengzhan Zhou

According to our database, Pengzhan Zhou authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

PreM-FedIoV: A Novel Federated Reinforcement Learning Framework for Predictive Maintenance in IoV.

Lu Yang, Songtao Guo, Chen-Khong Tham, Mingyan Li, Guiyan Liu, Pengzhan Zhou

IEEE Trans. Mob. Comput., December, 2024

Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization.

Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Saiqin Long, Zhetao Li

IEEE Trans. Intell. Transp. Syst., November, 2024

Parameters optimization and precision enhancement of Takagi-Sugeno fuzzy neural network.

Dewen Qiao, Pengzhan Zhou, Mingyan Li, Songtao Guo

Soft Comput., September, 2024

HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing.

Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Xianlong Jiao

IEEE Trans. Netw. Sci. Eng., 2024

Towards Relevance and Diversity in Crowdsourcing Worker Recruitment With Insufficient Information.

Zhida Qin, Siyun Yang, Yuchen Huang, Haoyan Fu, Pengzhan Zhou, Gangyi Ding

IEEE Trans. Netw. Sci. Eng., 2024

FedPAW: Federated Learning With Personalized Aggregation Weights for Urban Vehicle Speed Prediction.

Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo

IEEE Trans. Cloud Comput., 2024

FedAH: Aggregated Head for Personalized Federated Learning.

Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo

CoRR, 2024

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles.

Yijun Zhai, Pengzhan Zhou, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu, Songtao Guo

CoRR, 2024

FedGDC-P: Communication-efficient Personalized Graph Federated Learning Based On Dataset Condensation.

Jiaming Zhang, Songtao Guo, Pengzhan Zhou

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading.

Xianlong Jiao, Yating Wang, Songtao Guo, Hong Zhang, Haipeng Dai, Mingyan Li, Pengzhan Zhou

IEEE Trans. Commun., September, 2023

Economical Behavior Modeling and Analyses for Data Collection in Edge Internet of Things Networks.

Yiming Zeng, Pengzhan Zhou, Cong Wang, Ji Liu, Yuanyuan Yang

ACM Trans. Sens. Networks, May, 2023

Design and Optimization of Solar-Powered Shared Electric Autonomous Vehicle System for Smart Cities.

Pengzhan Zhou, Cong Wang, Yuanyuan Yang

IEEE Trans. Mob. Comput., April, 2023

2022

iCOS: A Deep Reinforcement Learning Scheme for Wireless-Charged MEC Networks.

Changwei Wan, Songtao Guo, Jing He, Guiyan Liu, Pengzhan Zhou

IEEE Trans. Veh. Technol., 2022

Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing.

Dewen Qiao, Songtao Guo, Defang Liu, Saiqin Long, Pengzhan Zhou, Zhetao Li

IEEE Trans. Parallel Distributed Syst., 2022

k-Level Truthful Incentivizing Mechanism and Generalized k-MAB Problem.

Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang

IEEE Trans. Computers, 2022

2021

Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity.

Cong Wang, Yuanyuan Yang, Pengzhan Zhou

IEEE Trans. Parallel Distributed Syst., 2021

Design of Self-sustainable Wireless Sensor Networks with Energy Harvesting and Wireless Charging.

Pengzhan Zhou, Cong Wang, Yuanyuan Yang

ACM Trans. Sens. Networks, 2021

2020

Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices.

Cong Wang, Xin Wei, Pengzhan Zhou

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities.

Pengzhan Zhou, Cong Wang, Yuanyuan Yang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing.

Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Xin Wei

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Static and Mobile Target <i>k</i>k-Coverage in Wireless Rechargeable Sensor Networks.

Pengzhan Zhou, Cong Wang, Yuanyuan Yang

IEEE Trans. Mob. Comput., 2019

Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging.

Pengzhan Zhou, Cong Wang, Yuanyuan Yang

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy.

Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A Stackelberg Game Framework for Mobile Data Gathering in Leasing Residential Sensor Networks.

Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang

Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks.

Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang

Proceedings of the IEEE Global Communications Conference, 2018

2017

Leveraging Target k-Coverage in Wireless Rechargeable Sensor Networks.

Pengzhan Zhou, Cong Wang, Yuanyuan Yang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017