1.基本信息

姓名：周鹏展

性别：男

职称：教授(弘深青年学者、博导、硕导)

办公地点：虎溪校区信息技术科研楼B532

电子邮箱: pzzhou@cqu.edu.cn

个人主页: https://colinzpz.github.io/

研究方向：强化学习、联邦学习、物联网、激励机制设计

招生信息：

招收有志于从事强化学习、联邦学习、物联网、激励机制设计等领域的研究生，年度招收博士生1名、硕士生3名，招收计算机、电子信息、数学、物理等专业背景。同时欢迎有志于在本科阶段参与科研的同学加入团队开展科研探索，本团队成员会尽力辅导，争取做出发表成果。本团队和上海交通大学、纽约州立大学石溪分校、罗格斯大学、乔治梅森大学等高校拥有广泛合作，团队成员如有意，可以推荐到以上合作高校深造。

团队同时招收弘深青年教师，薪酬待遇37-40 万元/年（特别资助），27-30 万元/年（重点资助），另按学校相关规定享受科研奖励。招聘信息详见： /info/1268/5939.htm

2.个人简介

周鹏展，重庆大学“弘深青年学者”引进人才、教授、博导、硕导。本科毕业于上海交通大学，获双学士学位，就读期间入选教育部“珠峰”计划；博士毕业于纽约州立大学石溪分校（导师为杨元元教授）。主要从事强化学习、联邦学习、车联网、无线传感器网络和激励机制设计的相关研究，目前共发表论文17篇（CCF-A类8篇，CCF-B类7篇），其中以第一作者身份在CCF-A类会议INFOCOM/IJCAI和CCF-A类期刊TMC/TC共发表论文6篇，以第一作者身份在CCF-B类会议ICDCS和CCF-B类期刊TOSN共发表论文3篇。同时长期担任期刊TMC, TPDS, TCC, JPDC, IJDS, IEEE ACCESS和会议INFOCOM, ICDCS,NeurIPS, ICDCS, ICPP, ICPADS, GLOBECOM, ICC的审稿人，以及ICDCS'22 & 23、NAS'22、MSN'20的程序委员会成员，iThings'22的Workshop Chair和2024年ACM中国图灵大会安全委员会主席。任中国计算机学会物联网专委会执行委员。获得2022年ACM中国新星奖（重庆）。

3.学术成果

学术论文

[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）

4.学术服务

会议组织者：安全委员会主席@ACM TURC'24，Workshop Chair@iThings'22

程序委员会成员：ICDCS'22 & 23, 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