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 | 56 | 2019 |
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 | 52 | 2020 |
Static and Mobile Target k-Coverage in Wireless Rechargeable Sensor Networks P Zhou, C Wang, Y Yang IEEE Transactions on Mobile Computing (TMC), 2018 | 38 | 2018 |
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 | 34 | 2017 |
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 | 19 | 2020 |
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 | 9 | 2021 |
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 | 9 | 2020 |
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 | 9 | 2020 |
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 | 7 | 2022 |
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 | 7 | 2021 |
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 | 7 | 2018 |
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 | 6 | 2019 |
k-Level Truthful Incentivizing Mechanism and Generalized k-MAB Problem P Zhou, X Wei, C Wang, Y Yang IEEE Transactions on Computers (TC), 2021 | 2 | 2021 |
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 | 1 | 2022 |
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 | 1 | 2022 |
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 | 1 | 2018 |
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 |
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, 2023 | | 2023 |
Building High Performance Wireless Rechargeable Sensor Networks and Vehicular Networks by Algorithm Designs P Zhou State University of New York at Stony Brook, 2020 | | 2020 |