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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
- 2022年度ACM SIGSPATIAL中国分会新星奖(本年度全国唯一)
- ACM UbiComp 2015, 2016 两次最佳论文提名奖(一作,国内高校首次)
- 华为云计算先锋教师
- 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)
- 厦门大学信息学院本科生创新创业导师
访问量:
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[41]陈龙彪.INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.arXiv,2023,
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[42]沈曲,陈龙彪.A Machine Learning-Based Risk Prediction Model for Post-Traumatic Stress Disorder during the COVID-19 Pandemic.MEDICINA-LITHUANIA,2021,58(12):
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[43]陈龙彪.Risk detection of clinical medication based on knowledge graph reasoning.CCF Transactions on Pervasive Computing and Interaction,
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[44]陈龙彪.Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021,1-11.
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[45]陈龙彪,Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2021,1-15.
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[46]陈龙彪,GoComfort: Comfortable Navigation for Autonomous Vehicles Leveraging High-Precision Road Damage Crowdsensing.IEEE Transactions on Mobile Computing,22(11):1-18.
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[47]陈龙彪.PANDA: predicting road risks after natural disasters leveraging heterogeneous urban data.CCF Transactions on Pervasive Computing and Interaction,
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[48]陈龙彪.Spatio-temporal analysis of urban crime leveraging multisource crowdsensed data.PERSONAL AND UBIQUITOUS COMPUTING,2020,
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[49]陈龙彪.ESCORT: Fine-Grained Urban Crime Risk Inference Leveraging Heterogeneous Open Data.IEEE SYSTEMS JOURNAL,2020,15(3):4656-4667.
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[50]陈龙彪,Fog radio access network optimization for 5G leveraging user mobility and traffic data.Journal of Network and Computer Applications,2021,191