陈龙彪
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副教授
- 出生日期:1987-03-11
- 电子邮箱:9fe015510af205fc2f994e5651e3480dd89a0550220c9989210e50ca90995765143cf622a427d796da9b2976557a6e5a549ef10c54bd684d16bfe68971dcc4bf088d4d071d8167e14cbd362dea02195c6c6304a7ca4268a0546b326d6b9cd913f0b58b3c1dd1bb3a89768731ee0d2f13dd8077c789b70e81a059323ae35ea970
- 入职时间:2016-10-14
- 所在单位:信息学院
- 学历:博士研究生毕业
- 办公地点:厦门市思明区曾厝垵西路厦门大学海韵园行政楼B404
- 性别:男
- 联系方式:13400742847
- 学位:哲学博士学位
- 在职信息:在职
- 毕业院校:浙江大学;法国索邦大学
- 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)
访问量:
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[11]陈龙彪,Advancing safe mobility: A global analysis of research trends in safe route planning.HELIYON,2022,9(12):
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[12]陈龙彪.Route selection for opportunity-sensing and prediction of waterlogging.Frontiers of Computer Science,2023,18(4):
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[13]陈龙彪.Active 3D Mapping Leveraging Heterogeneous Crowd Robot based-on Reinforcement Learning.UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing,2023,162-164.
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[14]陈龙彪.CrowdQ:Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,2023,7(3):
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[15]陈龙彪.LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game.arXiv,2024,
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[16]陈龙彪.CrowdBot: An Open-Environment Robot Management System for On-Campus Services.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,2024,8(2):
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[17]陈龙彪,STORM: A Spatio-Temporal Context-Aware Model for Predicting Event-Triggered Abnormal Crowd Traffic.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2024,1-16.
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[18]基于图卷积神经网络的城市交通态势预测算法.浙江大学学报(工学版),2020,6
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[19]陈能汪,人工神经网络模型在水质预警中的应用研究进展.环境科学学报,2021,41(12):4771-4782.
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[20]基于知识图谱的药品联用建模及风险评价.中国数字医学,第13卷(第10期):39-41.