報告摘要:

　　Didi Chuxing is the largest ride-sharing company providing transportation services for over 300 million users in China. Every day, Didi's platform generates over 70TB worth of data, processes more than 9 billion routing requests, and produces over 13 billion location points. In this talk, I will show how AI technologies including machine learning and computer vision have been applied to analyze such big transportation data to improve the travel experience for millions of people in China.

　　報告人簡介:

　　葉杰平，教授，畢業于美國明尼蘇達大學，美國密歇根大學終身教授，密歇根大學大數據研究中心管理委員會成員，現任滴滴研究院副院長。他是機器學習領域國際領軍人物，主要從事機器學習、數據挖掘和大數據分析領域的研究，尤其在大規模稀疏模型學習中處于國際領先地位。