摘要:目前滴滴平台每日新增轨迹原始数据超过70TB。人工智能技术已成功应用于滴滴多种场景以提高出行效率和体验，包括智能分单、拼车、供需预测、ETA、路径规划及司乘判责等功能。

Abstract:Every day, Didi's platform generates over 70TB worth of data, processes more than 9 billion routing requests, and produces over 14 billion location points. This talk is about how AI technologies have been applied to analyze such big transportation data to improve the travel experience for millions of people in China.

人物介绍: 叶杰平，滴滴出行研究院副院长，DiDi Fellow,美国密歇根大学终身教授及密歇根大学大数据研究中心的管理委员会成员。专业方向为机器学习，数据挖掘，以及大数据分析。在机器学习和数据挖掘国际顶级会议及期刊上共发表论文200余篇。曾获KDD和ICML最佳论文奖以及美国国家自然科学基金会生涯奖。

Short Bio: Dr. Jieping Ye -- Vice President of DiDi Chuxing / Vice President of DiDi Research Institute / DiDi Fellow

Dr. Ye joined DiDi in 2015 from his position of a tenured professor at University of Michigan. Dr. Ye leads DiDi’s big-data research team of several hundreds of machine-learning scientists and engineers on developing innovative solutions for the world’s largest transportation platform.

Dr. Ye holds a Ph.D. degree in Computer Science from University of Minnesota at Twin Cities. He is a globally recognized expert in machine learning, data mining and big data analytics. He has won the best paper awards at top international conferences including ICML and KDD. He serves as a chair or area chair of top international conferences including NIPS, ICML, KDD, SDM, ICDM, and IJCAI, as well as an editorial board member of premier international journals including IEEE TPAMI, DMKD, and IEEE TKDE.