福州金嘉实业有限公司

福州金嘉实业有限公司

福州金嘉实业有限公司

陈龙彪 副教授

金嘉实业团委副书记(挂职)

法国索邦大学(Sorbonne University)博士(2018) 浙江大学 博士(2016)

研究方向:空间群智感知、城市大数据分析、普适计算

电子邮件:longbiaochen (AT) xmu.edu.cn

个人主页:https://longbiao.crowdsensing.cn

个人简历:

教育背景:

  • 2015-2018,博士,法国索邦大学 (原法国巴黎第六大学)计算机系

  • 2010-2016,博士,浙江大学计算机科学与技术学院

  • 2006-2010,学士,浙江大学竺可桢学院

学术奖励:

  • 2021年度福州金嘉实业有限公司南强青年拔尖人才支持计划(B类)

  • 福建省高层次人才(C类)、福州市高层次人才(C类)

  • 2018年度福建省科技进步奖一等奖:城市交通多源感知与智能计算的研究和推广(排序第9)

  • ACM UbiComp 2015, 2016 两次最佳论文提名奖(一作,国内高校首次)

学术兼职:

  • 中国计算机学会青年计算机科技论坛(CCF YOCSEF)福州主席(2021)

  • 中国计算机学会普适计算专委会执行委员、ACM SIGSPATIAL 中国分会执行委员会委员

  • 福州市欧美同学会理事(2020-至今)

  • 社会活动主席:2021年ACM UbiComp Social Activity Chair(CCF-A类会议)

主持项目: 

  • 基于深度强化学习的群智数据标注方法研究,国家自然科学基金面上项目,2022-2025

  • 基于群智感知的城市出行需求匹配与共享交通调度优化研究,国家自然科学基金青年项目,2019-2021

  • 城市共享交通资源优化调度关键技术研究,福建省自然科学基金面上项目,2018-2021

  • 面向智慧城市管理与规划设计的感知计算平台,福州金嘉实业有限公司校长基金项目,2017-2019

  • 软件体系结构与设计模式在线开放课程,中央高校教育教学改革专项,2019-2020

代表性论文:

  • [TMC'2022] Hang Zhu, Tieqi Shou, Ruiying Guo, Zhihan Jiang, Zeyu Wang, Zhiyuan Wang, Zhiyong Yu, Weijie Zhang, Cheng Wang, Longbiao Chen, RedPacketBike: A graph-based demand modeling and crowd-driven station rebalancing framework for bike sharing systems, IEEE Transactions on Mobile Computing, pp.1-1, 2022. [SCI-II][CCF-A]

  • [UbiComp'2021] Longbiao Chen, Chenhui Lu, Fangxu Yuan, Zhihan Jiang, Leye Wang, Daqing Zhang, Ruixiang Luo, Xiaoliang Fan, Cheng Wang, UVLens: urban village boundary identification and population estimation leveraging open government data, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.5, no.2, pp.57:1–57:26, 2021. [CCF-A]

  • [TMC'2021] Zhihan Jiang, Hang Zhu, Binbin Zhou, Chenhui Lu, Mingfei Sun, Xiaojuan Ma, Xiaoliang Fan, Cheng Wang, Longbiao Chen, CrowdPatrol: A mobile crowdsensing framework for traffic violation hotspot patrolling, IEEE Transactions on Mobile Computing, pp.1-1, 2021. [SCI-II][CCF-A]

  • [TMC'2020] Longbiao Chen, Thi-Mai-Trang Nguyen, Dingqi Yang, Michele Nogueira, Cheng Wang, Daqing Zhang, Data-driven C-RAN optimization exploiting traffic and mobility dynamics of mobile users, IEEE Transactions on Mobile Computing, pp.1-1, 2020. [SCI-II][CCF-A]

  • [UbiComp'2018] Longbiao Chen, Xiaoliang Fan, Leye Wang, Daqing Zhang, Zhiyong Yu, Jonathan Li, Thi-Mai-Trang Nguyen, Gang Pan, Cheng Wang, RADAR: road obstacle identification for disaster response leveraging cross-domain urban data, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.1, no.4, 2018. [CCF-A]

  • [THMS'2017] Longbiao Chen, Jérémie Jakubowicz, Dingqi Yang, Daqing Zhang, Gang Pan, Fine-grained urban event detection and characterization based on tensor cofactorization, IEEE Transactions on Human-Machine Systems, vol.47, no.3, pp.380-391, 2017. [CCF-B] [SCI-II]

  • [TITS'2016] Longbiao Chen, Daqing Zhang, Xiaojuan Ma, Leye Wang, Shijian Li, Zhaohui Wu, Gang Pan, Container port performance measurement and comparison leveraging ship GPS traces and maritime open data, IEEE Transactions on Intelligent Transportation Systems, vol.17, no.5, pp.1227-1242, 2016. [CCF-B] [SCI-II]

  • [UbiComp'2016] Longbiao Chen, Daqing Zhang, Leye Wang, Dingqi Yang, Xiaojuan Ma, Shijian Li, Zhaohui Wu, Gang Pan, Thi-Mai-Trang Nguyen, Jérémie Jakubowicz, Dynamic cluster-based over-demand prediction in bike sharing systems, In Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing, pp.841-852, 2016. [CCF-A]

  • [UbiComp'2015] Longbiao Chen, Daqing Zhang, Gang Pan, Xiaojuan Ma, Dingqi Yang, Kostadin Kushlev, Wangsheng Zhang, Shijian Li, Bike sharing station placement leveraging heterogeneous urban open data, In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.571-575, 2015. [CCF-A]

  • [UbiComp'2014] Longbiao Chen, Daqing Zhang, Gang Pan, Leye Wang, Xiaojuan Ma, Chao Chen, Shijian Li, Container throughput estimation leveraging ship GPS traces and open data, In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.847-851, 2014. [CCF-A]