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    卢宇 副教授  硕士生导师
    北师大高精尖中心人工智能实验室主任
    研究领域:教育数据挖掘,学习分析,普适计算,人工智能及其教育应用
    Email:luyu@bnu.edu.cn
    地  址:北京师范大学前主楼B区511
    基本信息

    卢宇,北师大教育学部副教授,高精尖中心人工智能实验室主任。博士毕业于新加坡国立大学计算机工程专业,曾在新加坡科研局等国外机构长期从事大数据分析与人工智能领域的研究,并在Kaggle国际数据挖掘竞赛上多次取得优异成绩。在大数据分析、人工智能与教育技术研究领域已发表20余篇高水平英文论文,包括多篇ACM/IEEE Transctions及国际会议论文(例如ICDM, IJCAI, CIKM, EDBT等)。主持或已完成多项国内外科研项目,包括国家自然科学基金、教育部人文社会科学基金等。同时,负责北师大公共服务智能平台的数据分析研发工作。其中部分成果及其可视化方案已在平台上实现,直接服务于北京市多个区县的一线教师与学生,并已申请多项国家发明专利。(http://aic-fe.bnu.edu.cn/zxgk/yjtd/yjtd/16683.html


    教育背景

    本科 (B.S.) — 北京航空航天大学 (Beihang University)

    博士 (Ph.D.) — 新加坡国立大学 (National University of Singapore)

    工作经历

    新加坡科技研究局(A*STAR)资讯通信研究所(Institute for Infocomm Research,2014-2016

     

    科研项目

    国家自然科学基金青年项目:“基于多模态长周期数据的学习障碍模型研究”,主持。

    教育部人文社科基金青年项目:“基于行为感知数据的学习沉浸度模型研究”,主持。


    学术成果

    1) Journal Paper (Selected from 2015-2018)

    Yu Lu, Archan Misra, Wen Sun, Huayu Wu, “Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics,” IEEE Transactions on Mobile Computing, vol.17, no.4, pp.945-960, 2018.

     

    Penghe Chen, Yu Lu, Vincent W. Zheng, et al, “KnowEdu: A System to Construct Knowledge Graph for Education,” IEEE Access, vol. 6, pp.31553-31563, 2018.

    Yu Lu, Sen Zhang, Zhiqiang Zhang, Wendong Xiao, Shengquan Yu, “A Framework for Learning Analytics Using Commodity Wearable Devices,” Sensors, vol. 17, no. 6. 2017.

    Yu Lu, Zeng Zeng, Huayu Wu, Jingjing Zhang, “An Intelligent System for Taxi Service: Analysis, Prediction and Visualization,” AI Communications, vol. 31, no.1, pp.33-46, 2018.

    Yu Lu, Motani Mehul and W. C. Wong, “A QoE-Aware Resource Distribution Framework Incentivizing Context Sharing and Moderate Competition,” IEEE/ACM Transactions on Networking, vol. 24, no.3, pp. 1364-1377, 2016.

     

    2) Conference Paper (Selected from 2015-2018) 

    Yu Lu, Chen Chen, Penghe Chen, Xiyang Chen, Zijun Zhuang., “Smart Learning Partner: An Interactive Robot for Education,” International Conference on Artificial Intelligence in Education (AIED), London, UK, 2018.

    Penghe Chen, Yu Lu, Vincent W. Zheng, et al., “An Automatic Knowledge Graph Construction System for K-12 Education,” International Conference on Learning @ Scale (L@S), London, UK, 2018.

    Penghe Chen, Yu Lu, Vincent W. Zheng, Yang Bian, “Prerequisite-Driven Deep Knowledge Tracing,” IEEE Conference on Data Mining (ICDM), Singapore, 2018.


    Yu Lu, Gim Guan Chua, Huayu Wu, Clement Ong Shi Qi, “An Intelligent System for Taxi Service Monitoring, Analytics and Visualization,” International Joint Conference on Artificial Intelligence (IJCAI), Demo, New York, NY, 2016. 

    Seong Ping Chuah, Huayu Wu, Yu Lu, Liang Yu: Bus Routes Design and Optimization via Taxi Data Analytics. ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, USA, 2016. 

     

    Yu Lu, Shili Xiang and Wei Wu, 'Taxi Queue, Passenger Queue or No Queue? - A Queue Detection and Analysis System using Taxi State Transition,' International Conference on Extending Database Technology (EDBT), Belgium, 2015.

     

    Tadashi Okoshi, Yu Lu, Chetna Vig, Youngki Lee, Rajesh Krishna Balan and Archan Misra “QueueVadis: Queuing Detection and Analytics using Smartphones,” International Conference on Information Processing in Sensor Networks (IPSN), Seattle, WA, 2015. 

     

    Yu Lu, Wei Wu, Shili Xiang, Huayu Wu, 'A Queue Analytics System for Taxi Service Using Mobile Crowd Sensing,' in Adjunct Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Poster Paper, Osaka, Japan, 2015. 

     

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