Pengzhan Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Renewable Energy

Reinforcement Learning

Sensor Networks

Top Venues

ACM Trans. Sens. Networks

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Mob. Comput.

Publications

Zhida Qin, Siyun Yang, Yuchen Huang, Haoyan Fu, Pengzhan Zhou, Gangyi Ding
Towards Relevance and Diversity in Crowdsourcing Worker Recruitment With Insufficient Information. IEEE Trans. Netw. Sci. Eng. 11 (1) (2024)
Jiaming Zhang, Songtao Guo, Pengzhan Zhou
FedGDC-P: Communication-efficient Personalized Graph Federated Learning Based On Dataset Condensation. CSCWD (2024)
Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Xianlong Jiao
HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing. IEEE Trans. Netw. Sci. Eng. 11 (5) (2024)
Yiming Zeng, Pengzhan Zhou, Cong Wang, Ji Liu, Yuanyuan Yang
Economical Behavior Modeling and Analyses for Data Collection in Edge Internet of Things Networks. ACM Trans. Sens. Networks 19 (2) (2023)
Xianlong Jiao, Yating Wang, Songtao Guo, Hong Zhang, Haipeng Dai, Mingyan Li, Pengzhan Zhou
Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading. IEEE Trans. Commun. 71 (9) (2023)
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
Design and Optimization of Solar-Powered Shared Electric Autonomous Vehicle System for Smart Cities. IEEE Trans. Mob. Comput. 22 (4) (2023)
Dewen Qiao, Songtao Guo, Defang Liu, Saiqin Long, Pengzhan Zhou, Zhetao Li
Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
k-Level Truthful Incentivizing Mechanism and Generalized k-MAB Problem. IEEE Trans. Computers 71 (7) (2022)
Changwei Wan, Songtao Guo, Jing He, Guiyan Liu, Pengzhan Zhou
iCOS: A Deep Reinforcement Learning Scheme for Wireless-Charged MEC Networks. IEEE Trans. Veh. Technol. 71 (7) (2022)
Cong Wang, Yuanyuan Yang, Pengzhan Zhou
Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity. IEEE Trans. Parallel Distributed Syst. 32 (2) (2021)
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
Design of Self-sustainable Wireless Sensor Networks with Energy Harvesting and Wireless Charging. ACM Trans. Sens. Networks 17 (4) (2021)
Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Xin Wei
E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing. ICDCS (2020)
Cong Wang, Yuanyuan Yang, Pengzhan Zhou
Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity. CoRR (2020)
Cong Wang, Xin Wei, Pengzhan Zhou
Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices. IPDPS (2020)
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities. INFOCOM (2020)
Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy. IJCAI (2019)
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging. INFOCOM (2019)
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
k-Coverage in Wireless Rechargeable Sensor Networks. IEEE Trans. Mob. Comput. 18 (10) (2019)
Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang
A Stackelberg Game Framework for Mobile Data Gathering in Leasing Residential Sensor Networks. IWQoS (2018)
Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang
Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks. GLOBECOM (2018)
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
Leveraging Target k-Coverage in Wireless Rechargeable Sensor Networks. ICDCS (2017)