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Pengzhan Zhou
Pengzhan Zhou
Professor of Computer Science, Chongqing University
Verified email at cqu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Towards efficient scheduling of federated mobile devices under computational and statistical heterogeneity
C Wang, Y Yang, P Zhou
IEEE Transactions on Parallel and Distributed Systems (TPDS) 32 (2), 394-410, 2020
752020
Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging
P Zhou, C Wang, Y Yang
2019 IEEE International Conference on Computer Communications(INFOCOM), 1828 …, 2019
652019
Static and Mobile Target k-Coverage in Wireless Rechargeable Sensor Networks
P Zhou, C Wang, Y Yang
IEEE Transactions on Mobile Computing (TMC), 2018
452018
Leveraging target k-coverage in wireless rechargeable sensor networks
P Zhou, C Wang, Y Yang
2017 IEEE International Conference on Distributed Computing Systems (ICDCS …, 2017
352017
Adaptive federated deep reinforcement learning for proactive content caching in edge computing
D Qiao, S Guo, D Liu, S Long, P Zhou, Z Li
IEEE Transactions on Parallel and Distributed Systems 33 (12), 4767-4782, 2022
332022
Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices
C Wang, X Wei, P Zhou
2020 IEEE International Parallel & Distributed Processing Symposium(IPDPS), 2020
222020
Design of Self-sustainable Wireless Sensor Networks with Energy Harvesting and Wireless Charging
P Zhou, C Wang, Y Yang
ACM Transactions on Sensor Networks (TOSN) 17 (4), 2021
122021
E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing
P Zhou, C Wang, Y Yang, X Wei
2020 IEEE International Conference on Distributed Computing Systems (ICDCS), 2020
122020
Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities
P Zhou, C Wang, Y Yang
2020 IEEE International Conference on Computer Communications(INFOCOM), 2020
112020
Design and Optimization of Solar-Powered Shared Electric Autonomous Vehicle System for Smart Cities
P Zhou, C Wang, Y Yang
IEEE Transactions on Mobile Computing (TMC), 2021
102021
A stackelberg game framework for mobile data gathering in leasing residential sensor networks
Y Zeng, P Zhou, J Liu, Y Yang
2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), 1-6, 2018
72018
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy
P Zhou, X Wei, C Wang, Y Yang
2019 International Joint Conference on Artificial Intelligence (IJCAI), 2019
62019
Deep reinforcement learning empowers wireless powered mobile edge computing: Towards energy-aware online offloading
X Jiao, Y Wang, S Guo, H Zhang, H Dai, M Li, P Zhou
IEEE Transactions on Communications 71 (9), 5214-5227, 2023
42023
iCOS: A deep reinforcement learning scheme for wireless-charged MEC networks
C Wan, S Guo, J He, G Liu, P Zhou
IEEE Transactions on Vehicular Technology 71 (7), 7739-7750, 2022
42022
Economical behavior modeling and analyses for data collection in edge Internet of Things networks
Y Zeng, P Zhou, C Wang, J Liu, Y Yang
ACM Transactions on Sensor Networks 19 (2), 1-27, 2022
32022
k-Level Truthful Incentivizing Mechanism and Generalized k-MAB Problem
P Zhou, X Wei, C Wang, Y Yang
IEEE Transactions on Computers (TC), 2021
32021
Modeling dishonest behavior in mobile data gathering over leasing residential sensor networks
Y Zeng, P Zhou, J Liu, Y Yang
2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018
12018
AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications
D Qiao, L Qian, S Guo, J Zhao, P Zhou
IEEE Transactions on Neural Networks and Learning Systems, 2024
2024
PreM-FedIoV: A Novel Federated Reinforcement Learning Framework for Predictive Maintenance in IoV
L Yang, S Guo, CK Tham, M Li, G Liu, P Zhou
IEEE Transactions on Mobile Computing, 2024
2024
Towards Relevance and Diversity in Crowdsourcing Worker Recruitment With Insufficient Information
Z Qin, S Yang, Y Huang, H Fu, P Zhou, G Ding
IEEE Transactions on Network Science and Engineering, 2023
2023
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