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范晓亮 高级工程师,硕导,数字福建城市交通大数据研究所副所长,数字福建健康医疗大数据研究所副所长

法国巴黎第六大学 计算机科学博士(2012)

研究方向:城市感知与智能计算、医学数据隐私保护与人工智能应用

所属部门:计算机科学系

电子邮件:fanxiaoliang (AT) xmu.edu.cn

个人主页:http://www.scsc.cloud/fan/

个人简历:

学术兼职: 

厦门大学健康医疗大数据国家研究院PI

IEEE高级会员、中国计算机学会CCF高级会员;

CCF服务计算专委会委员、CCF普适计算专委会委员;

ISO/IEC JTC 1/SC 29/WG 11标准委员会委员;

ACM SIGSPATIAL China委员;

厦门市信用大数据专家委员会委员,厦门市法学会市域社会治理智能化研究会理事,厦门市工信局信息化项目评审专家;

在研项目: 

大规模人群出行的不确定性分析与城市级别人流预测研究,国家自然科学基金面上基金项目(61872306),范晓亮(主持),2019年1月-2022年12月

基于隐私保护的健康医疗大数据智能挖掘算法研究,厦门大学“艾德生物”奖学金项目(企事业委托项目),范晓亮(主持),2019年8月-2020年7月

交通数据分析应用(2018),企事业委托项目,范晓亮(主持),2018年1月-2018年12月

交通大数据智能分析应用算法,企事业委托项目,范晓亮(主持),2019年1月-2019年12月

情境感知云计算工作流的动态服务选择研究,国家自然科学基金青年科学基金项目(61300232),范晓亮(主持),2014年1月-2016年12月,已结题

面向时空相关性挖掘的情境感知Web服务推荐算法研究,中国博士后科学基金面上项目一等资助(2015M580564),范晓亮(主持),2015年6月-2017年5月,已结题


代表性论文: 

1. Chuanpan Zheng#; Xiaoliang Fan*, Chenglu Wen, Longbiao Chen, Cheng Wang, Jonathan Li, DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction, IEEE Transactions on Intelligent Transportation Systems, 2019. DOI: 10.1109/TITS.2019.2932785. [录用,中科院JCR二区,CCF B类期刊,IF:5.774]

2. Xiaoliang Fan#, Yakun Hu, Zibin Zheng*, Yujie Wang, Patrick Brezillon, Wenbo Chen, CASR-TSE: Context-Aware Web Services Recommendation for Modeling Weighted Temporal-Spatial Effectiveness, IEEE Transactions on Services Computing, 2018, vol. , no. , pp. 1, 5555, doi:10.1109/TSC.2017.2782793. [录用,中科院JCR二区top,CCF B类期刊,IF:4.418]

3. Chenlu Wen#, Changbin You, Hai Wu, Cheng Wang*, Xiaoliang Fan, and Jonathan Li, Recovery of urban 3D road boundary via multi-source data, ISPRS Journal of Photogrammetry and Remote Sensing, 156: (2019):184-201. DOI: 10.1016/jisprsjprs.2019.08.010. [中科院JCR一区,IF: 6.942]

4. Li Kuang#, Han Yan, Yujia Zhu, Shenmei Tu, Xiaoliang Fan*, Predicting Duration of Traffic Accidents based on Cost-Sensitive Bayesian Network and Weighted K-Nearest Neighbour, Journal of Intelligent Transportation Systems, Kuang, L. , Yan, H. , Zhu, Y. , Tu, S. , & Fan, X. . (2019). Predicting duration of traffic accidents based on cost-sensitive bayesian network and weighted k-nearest neighbor. Journal of Intelligent Transportation Systems, 161-174, DOI: 10.1080/15472450.2018.1536978. [JCR3区, IF: 2.164]

5. Jujing Xiao#, Chuanpan Zheng, Xiaoliang Fan*, Yi Xie, Rongshan Yu, Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge, in Proceedings of The 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH’19) held with IJCAI 2019, CEUR.org, Vol-2429, pp. 55-59, Macau, China, August 10-16, 2019.

6. Xiaoliang Fan#, Chang Xu, Fang Tang, Jianzhong Qi, Xiao Liu, Longbiao Chen, Cheng Wang*, CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-domain Urban Big Data, 25th IEEE Conference on Web Services (ICWS 2018), July 2-7, 2018, San Francisco, USA, pp.298-301, doi: 10.1109/ICWS.2018.00046 [CCF B类会议/EI]

7. Longbiao Chen#, Xiaoliang Fan, Leye Wang, Zhiyong Yu, Johnthan Li, Daqing Zhang, Thi-Mai-Trang Nguyen, Gang Pan, Cheng Wang*, RADAR: Road Obstacle Identification for Disaster Response Leveraging Multi-Source Urban Data, The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’18), Singapore, 2018 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 4, Article 130 (January 2018), 23 pages. DOI: 10.1145/3161159. [CCF A类会议/EI]

8. Yujie Wang#, Xiaoliang Fan*, Xiao Liu, Chuanpan Zheng, Longbiao Chen, Cheng Wang, Jonathan Li, Unlicensed Taxis Detection Service based on Large-Scale Vehicles Mobility Data, Proc. of 24th IEEE Conference on Web Services (ICWS 2017), Hawaii, USA, June 24-30, 2017, pp. 857-861. [CCF B类会议/EI]

9. Xiaoliang Fan#*, Yujie Wang, You Ma, Yakun Hu, Xiao Liu, Exploring the Effectiveness of True Abnormal Data Elimination in Context-aware Web Services Recommendation, Proc. of 23th IEEE Conference on Web Services (ICWS 2016), San Francisco, USA, June 27-July 2, 2016, pp. 300-307. [CCF B类会议/EI]

10. Xiaoliang Fan#, Yakun Hu, Ruisheng Zhang, Wenbo Chen and Patrick Brezillon*, Modeling Temporal Effectiveness for Context Aware Web Services Recommendation, Proc. of 22th IEEE Conference on Web Services (ICWS 2015 Research Track), New York, USA, June 27th-July 2nd, 2015, pp. 225-232. [CCF B类会议/EI]


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