Yu Zheng
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Dr. Yu Zheng is a lead researcher from Microsoft Research. He is also a Chair Professor at Shanghai Jiao Tong University and an Affiliate Professor at Southwest Jiaotong University. His research interests include urban big data analytics, spatio-temporal data mining, and ubiquitous computing. Specifically, he is passionate about using big and heterogeneous data generated in cities to tackle urban challenges. He has published over 50 referred papers as a leading author at prestigious conferences and journals, such as SIGMOD, VLDB, SIGKDD, UbiComp, and IEEE TKDE. He received five best paper awards from ICDE'13, ACM SIGSPATIAL’10, and Ubicomp’11, etc. He has been featured multiple times by influential journals, such as MIT Technology Review and New Scientist. Zheng is currently a member of Editorial Advisory Board of IEEE Spectrum. He has served as chair on 10 prestigious international conferences—most recently, as the program co-chair of ICDE 2014. He has been invited to give over 10 keynote speeches at international conferences and forums (e.g. IE 2014, ISKE 2013 and APEC 2014 smart city forum) and guest lectures in universities like MIT, CMU, and Cornell. His book, titled “Computing with Spatial Trajectories”, has been used as a text book in USA, Canada, Australia, Korea, and China. Zheng has received 3 technical transfer awards from Microsoft and 24 granted/filed patents. He is an IEEE senior member, ACM senior member, and a Distinguished Speaker of China Computer Federation. In 2013, he was named one of the Top Innovators under 35 by MIT Technology Review (TR35) for his research using data science to solve urban challenges. He was featured by Time Magazine due to his research on urban computing in Nov 2013. In 2014, he was named one of the top 40 Business Elites under 40 in China by Fortune Magazine, because of the business impact of urban computing he has been advocating since 2008.


invited talk
flag Urban Computing: Enabling Intelligent Cities with AI and Big Data
as author at  KDD 2017 Workshops,
flag Urban Computing: Enabling Intelligent Cities with AI and Big Data
as author at  KDD 2017 Tutorials,
flag Urban Computing: Using Big Data to Tackle Urban Challenges
as author at  22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016,
  invited talk
flag Urban Computing: Using Big Data to Sovle Urban Challenges Spearker
as author at  KDD 2016 Workshops,
flag Inferring Gas Consumption and Pollution Emission of Vehicles throughout a City
as author at  Research Sessions,
flag Travel Time Estimation of a Path using Sparse Trajectories
as author at  Research Sessions,