Harry Xu
Scholar

Harry Xu

Google Scholar ID: DS6rCasAAAAJ
Professor of Computer Science, University of California, Los Angeles
Operating SystemData AnalyticsDistributed SystemMachine Learning SystemCloud Computing
Citations & Impact
All-time
Citations
3,599
 
H-index
33
 
i10-index
68
 
Publications
20
 
Co-authors
114
list available
Resume (English only)
Academic Achievements
  • Recipient of the 2018 Dahl-Nygaard Junior Prize for promising contributions to object-oriented research.
  • ACM Distinguished Scientist.
  • Published extensively in top-tier venues including SOSP, OSDI, NSDI, PLDI, ASPLOS, SIGCOMM, EuroSys, and FSE.
  • Multiple papers recognized with best paper awards, e.g., OSDI'22-best-paper.
  • Led influential projects such as the Open Virtual GPU Project (Prism, ConServe), systems for silent CPU error resilience (SOSP'25), cost-effective AI/ML infrastructures (SIGCOMM'20, OSDI'21, etc.), and resource-disaggregated datacenters (OSDI'20, OSDI'22, etc.).
Research Experience
  • Visiting Researcher at Microsoft Research in 2017, where he initiated and led the development of Niijima (SOSP'19), an optimizing compiler for Microsoft's Scope/Cosmos multilingual data analytics pipeline.
  • Co-op/intern at IBM T.J. Watson Research Center from 2008 to 2011, leading the creation of runtime bloat detection and performance optimization tools for IBM's enterprise Java customers (PLDI'09, PLDI'10-a, PLDI'10-b).
  • Led the development of VQPy at UCLA, integrated into Cisco's DeepVision platform for complex video processing.
  • Among the first academic researchers to address 'software bloat', a line of work that contributed to ONR's $200M TPCP program.
  • Pioneered the use of programming language techniques to optimize large-scale data analytics; the Yak GC (OSDI'16) was reimplemented by Huawei for telecommunication applications.