[TCOM’23] 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 Transactions on Communications (2023). （CCF-B类）

[TOSN’22] 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 Transactions on Sensor Networks (2022). （CCF-B类）

[TPDS’22] 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 Transactions on Parallel and Distributed Systems, (2022).（CCF-A类）

[TVT’22] Changwei Wan, Songtao Guo, Jing He, Guiyan Liu, Pengzhan Zhou, iCOS: A Deep Reinforcement Learning Scheme for Wireless-Charged MEC Networks, IEEE Transactions on Vehicular Technology, (2022).

[TMC’21] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Design and Optimization of Solar-Powered Shared Electric Autonomous Vehicle System for Smart Cities, IEEE Transactions on Mobile Computing, (2021).（CCF-A类）

[TC’21] Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang, k-Level Truthful Incentivizing Mechanism and Generalized k-MAB Problem, IEEE Transactions on Computers, (2021).（CCF-A类）

[TOSN’21] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Design of Self-sustainable Wireless Sensor Networks with Energy Harvesting and Wireless Charging, ACM Transactions on Sensor Networks, 17, no. 4 (2021): 1-38.（CCF-B类）

[TPDS’20] Cong Wang, Yuanyuan Yang, Pengzhan Zhou, Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity, IEEE Transactions on Parallel and Distributed Systems, 32, no. 2 (2020): 394-410.（CCF-A类）

[ICDCS’20] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Xin Wei, E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing, IEEE International Conference on Distributed Computing Systems, (2020): 474-484. (接收率: 18.0%)（CCF-B类）

[IPDPS’20] Cong Wang, Xin Wei, Pengzhan Zhou, Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices, IEEE International Parallel & Distributed Processing Symposium, (2020): 212-221.（CCF-B类）

[INFOCOM’20] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities, IEEE International Conference on Computer Communications, (2020): 1399-1408. (接收率: 19.8%)（CCF-A类）

[IJCAI’19] Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang, Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy, International Joint Conferences on Artificial Intelligence, (2019): 665-671. (接收率: 17.9%)（CCF-A类）

[INFOCOM’19] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging, IEEE International Conference on Computer Communications, (2019): 1828-1836. (接收率: 19.7%)（CCF-A类）

[TMC’19] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Static and Mobile Target k-Coverage in Wireless Rechargeable Sensor Networks, IEEE Transactions on Mobile Computing, 18, no. 10 (2018): 2430-2445.（CCF-A类）

[IWQoS’18] Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang, A Stackelberg Game Framework for Mobile Data Gathering in Leasing Residential Sensor Networks, IEEE/ACM International Symposium on Quality of Service, (2018).（CCF-B类）

[GLOBECOM’18] Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang, Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks, IEEE Global Communications Conference, (2018).（CCF-C类）

[ICDCS’17] Pengzhan Zhou, Cong Wang and Yuanyuan Yang, Leverage Target k-Coverage in Wireless Rechargeable Sensor Network, IEEE International Conference on Distributed Computing Systems, (2017):1291-1300. (接收率: 16.8%)（CCF-B类）