部分代表性成果：

*代表通讯作者

[TMC' 25] Pengzhan Zhou*, Yijun Zhai, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Fulin Luo, Chao Chen, Songtao Guo, FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Personalized Autonomous Vehicles with Guaranteed Efficiency, IEEE Transactions on Mobile Computing, (2025). （CCF-A类）

[SIGIR' 25] Haoyao Zhang, Zhida Qin, Hongkun Zhang, Weiyan Zhao, Pengzhan Zhou, Improving Multi-Modal Sequential Recommendation by Multi-Granularity Denoising and Cooperative Game, International ACM SIGIR Conference on Research and Development in Information Retrieval, (2025).（CCF-A类）

[INFOCOM' 25] Xufeng Liang, Zhida Qin, Pengzhan Zhou, Shuang Li, Tianyu Huang, Dual-GT: Dual-scale Spatial Dependency for Grid-Based Traffic Flow Prediction, IEEE International Conference on Computer Communications, (2025). (接收率: 18.7%)（CCF-A类）

[UIC' 24] Pengzhan Zhou*, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo, FedAH: Aggregated Head for Personalized Federated Learning, IEEE International Conference on Ubiquitous Intelligence and Computing, (2024). （CCF-C类）

[MSN' 24] Kunhong He, Pengzhan Zhou*, Yijun Zhai, Yuepeng He, Lin Tan, Dewen Qiao, Songtao Guo, HfedPES: Hierarchical Personalized Federated Learning with Edge Selection, IEEE International Conference on Mobility, Sensing and Networking, (2024). （CCF-C类）

[MSN' 24] Yijun Zhai, Pengzhan Zhou*, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu, Songtao Guo, FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles, IEEE International Conference on Mobility, Sensing and Networking, (2024). （CCF-C类）

[TNNLS' 24] Dewen Qiao, Liangxin Qian, Songtao Guo, Jun Zhao, Pengzhan Zhou*，AMFL: Resource-efficient adaptive metaverse-based federated learning for the human-centric augmented reality applications, IEEE Transactions on Neural Networks and Learning Systems, (2024). （CCF-B类）

[TITS' 24] Lin Tan, Songtao Guo, Pengzhan Zhou*, Zhufang Kuang, Saiqin Long, and Zhetao Li, Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization, IEEE Transactions on Intelligent Transportation Systems, (2024).

[TNSE' 24] Lin Tan, Songtao Guo, Pengzhan Zhou*, Zhufang Kuang, and Xianlong Jiao, HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing, IEEE Transactions on Network Science and Engineering 11, no. 5 (2024): 4665-4678. 

[TCC' 24] Yuepeng He, Pengzhan Zhou*, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo, FedPAW: Federated Learning With Personalized Aggregation Weights for Urban Vehicle Speed Prediction, IEEE Transactions on Cloud Computing, (2024). （CCF-C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）

中国计算机学会（CCF）物联网专委会执行委员

会议组织者：Workshop Chair@iThings'22

程序委员会成员：ICDCS'22, NAS'22, ECAISS@MSN'20

期刊审稿：TMC, TPDS, TCC, JPDC, IJDSN, IEEE ACCESS

会议审稿：INFOCOM, NeurIPS，ICDCS, IPDPS, ICPP, ICPADS, GLOBECOM, ICC