Lei Ying
Scholar

Lei Ying

Google Scholar ID: 7f3HKI8AAAAJ
Professor at the University of Michigan, Ann Arbor
stochastic networksreinforcement learninggraphs and networksperformance evaluation
Citations & Impact
All-time
Citations
3,981
 
H-index
31
 
i10-index
75
 
Publications
20
 
Co-authors
115
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Young Investigator Award from the Defense Threat Reduction Agency (DTRA), 2009
  • NSF CAREER Award, 2010
  • Best Paper Award at IEEE INFOCOM 2015
  • Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS/IFIP Performance 2016
  • WiOpt’18 Best Student Paper Award
  • Papers selected for ACM TKDD Special Issue “Best Papers of KDD 2016”
  • Fast-Track Review for TNSE at IEEE INFOCOM 2018 (7 out of 312 accepted papers)
  • Best Paper Finalist at MobiHoc 2019
  • Co-authored: 'Communication Networks: An Optimization, Control and Stochastic Networks Perspective', Cambridge University Press, 2014
  • Co-authored: 'Diffusion Source Localization in Large Networks', Morgan & Claypool Publishers, 2018
Background
  • Research broadly focuses on the interplay of complex stochastic systems and big data
  • Specific areas include reinforcement learning, large-scale communication/computing systems for big-data processing, private data marketplaces, and large-scale graph mining
  • Currently Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor
  • IEEE Fellow
  • Editor-at-Large for IEEE/ACM Transactions on Networking
  • Working on an introductory book on reinforcement learning; draft and lecture slides are publicly available