Yang Song 

Yang Song, Ph.D.

Manager, Applied Machine Learning
Apple Inc.
1 Infinite Loop, Cupertino, CA 95014

Email: yangsong-at-ieee.org

View Yang Song's profile on LinkedIn

  • Our paper on improving Apache Spark streaming efficiency is accepted by IEEE International Conference on Autonomic Computing (ICAC 2016)!

  • Received the IEEE Communication Society (ComSoc) Best Young Professional Industry Award at IEEE Globecom 2015! (photo1, photo2)

  • Serve on the TPC of IEEE/ACM IWQoS 2016, Beijing, China. Inviting submissions!

  • Our paper on Optimized Frequent Itemset Mining MapReduce algorithms is accepted by IEEE International Conference on Cloud Engineering (IEEE IC2E 2015)!

  • Our paper on Lightweight Blackbox Storage Performance Modeling is accepted by IEEE International Conference on High Performance Computing (HiPC 2014)!

  • Our paper on Virtualization Mapping Inference framework is accepted by IEEE International Workshop on Cloud Analytics (IEEE IWCA’14), Boston, MA!


I currently work at the Applied Machine Learning division at Apple Inc.

Prior to joining Apple, I was a Research Staff Member in the Cloud System Analytics Research Department at IBM Research. My research interests include statistical modeling and analysis, optimization, machine learning, big data technologies, and their applications in cloud environments for efficient resource allocation and management. I obtained my Ph.D. degree in the University of Florida.

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