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[計信講壇]第93講 即時配送中的移動群智感知

作者: jsjyjsb   時間:2020-11-02 15:15:15   點擊:1123次

                                                   

報告名稱

Mobile Crowdsensing in Instant Delivery

(即時配送中的移動群智感知)

2020117日上午09:50-10:30

信息科學樓1樓報告廳

劉云淮

主辦單位

計算機與信息學院

備注

簡介:Dr. Yunhuai Liu is now a professor with Peking   University, P.R. China. He received his B.E in Computer Science from Tsinghua   University, and PhD degree in Computer Science and Engineering from Hong Kong   University of Science and Technology in 2008. In the year 2010, he joined   Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. From   2011 to 2016, he was with the Third Research Institute of Ministry of Public   Security, China. He is the receipt of National Distinguish Young Scientists   Foundation, and National Talented Young Scholar program. He received the   third-class personal medal of Ministry of Public Security. He is now serves   as the Vice chair of ACM China Council, and served as the Associate Editor   for IEEE TPDS, IEEE TNSE,   and TPC members of ACM Sensys, IEEE INFOCOM and etc. He received the   Outstanding Paper Award at the 2008 the 28th IEEE ICDCS, and 2018 the 25th   SANER. He has published over 100 peer-reviewed technical papers with over   4800 citations (google scholar).

 

報告簡介:With the   rapid development of mobile Internet and O2O businesses, new service models   based on instant delivery are becoming increasingly popular, which enables   many new applications such as instant takeaway delivery, supermarket   freshexpress, and city express. In 2017, mainland China has over 10 billion   instant delivery orders with a 314% year-on-year increase, accounting for 25%   of the logistic volume. With these O2O business, many new human mobility data   can be collected in a non-intrusive manner with extremely low cost. In this   talk, we will introduce our recent collaboration works with a major instant   delivery service provider, showing many new opportunities and unique   challenges in this new service model. We will show how to exploits the crowdsensing   techniques to solve the emerging problems and point out some future work   directions.

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