Mao Yang 杨懋
Scholar

Mao Yang 杨懋

Google Scholar ID: LgJqohwAAAAJ
Microsoft Research
Distributed systemsInformation retrievalDeep learning
Citations & Impact
All-time
Citations
4,187
 
H-index
30
 
i10-index
58
 
Publications
20
 
Co-authors
48
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Responsible for designing and implementing critical systems in the Bing team, which have been applied to process and serve billions of data points.
Research Experience
  • Since 2006, has been with Microsoft Research Asia, Beijing, as a research manager for the Systems and Networking Research Group. Worked on key projects such as Cougar (a new ranking system supporting state-of-the-art semantic ranking models), Tiger (a new generation flash memory-based index serving platform), and Kirin (a new web store and processing system). Also proposed and implemented a large-scale distributed storage system prototype, PacificA.
Education
  • Received a Ph.D. in Computer Science from Peking University, China, in 2006; received B.S. and M.S. in Computer Science from Harbin Institute of Technology, Harbin, in 2000 and 2002, respectively.
Background
  • Research interests include distributed systems, information retrieval systems, machine learning systems, and multimedia systems, with a focus on designing, implementing, and deploying practical systems.
Miscellany
  • Interested in building distributed systems and uses formal methods like TLA+ for related work.