师资队伍
周鹏展
时间:2022-01-11    浏览量:次

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:主教1507

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)。本人主要从事强化学习、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13篇(CCF-A类7篇,CCF-B类5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。我同时长期担任期刊TMC, TPDS, TCC, JPDC, IJDS, IEEE ACCESS和会议INFOCOM, ICDCS, ICPP, ICPADS, GLOBECOM, ICC的审稿人,以及ICDCS'22、NAS'22、MSN'20的程序委员会成员,和iThings'22的Workshop Chair。


3.学术成果

学术论文

[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: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, ICDCS, IPDPS, ICPP, ICPADS, GLOBECOM, ICC