Jidong Zhai
Scholar

Jidong Zhai

Google Scholar ID: _mBdZBMAAAAJ
Tsinghua University
Parallel ComputingCompilerProgramming ModelGPU
Citations & Impact
All-time
Citations
3,674
 
H-index
31
 
i10-index
73
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • He has published in prestigious conferences (such as SC, ICS, PPOPP, ASPLOS, MICRO, OSDI, ATC, and PACT) and top-tier journals (such as IEEE TC and IEEE TPDS). He received the 2021 Best Paper Award for IEEE TPDS, Best Paper Award at CLUSTER'21, Best Student Paper Award at ICS’21, Best Paper Honorable Mention Award at ICDCS’20, and Best Paper Finalist at SC’14. The team he leads has achieved 13 international champions in student supercomputing challenges at SC, ISC, and ASC. He has received numerous awards, including NSFC Distinguished Young Scholar (2022), First Prize of CCF Natural Science Award (2021), CCF-IEEE CS Young Computer Scientist Award (2020), IEEE TPDS Award for Editorial Excellence (2019), NSFC Young Career Award (2017), and CCF outstanding doctoral dissertation Award (2010).
Research Experience
  • He has served as a PC member for several international conferences including SC, ICS, PPoPP, IPDPS, ICPP, Cluster, and PACT. He was a program co-chair of NPC 2018. He is currently on the editorial boards of IEEE Transactions on Computers (TC), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Cloud Computing (TCC), Journal of Parallel and Distributed Computing (JPDC), and Journal of Parallel Computing (PARCO).
Education
  • He was a Visiting Professor at Stanford University from 2015 to 2016 and a Visiting Scholar at Microsoft Research Asia in 2013.
Background
  • Currently a Full Professor in the Department of Computer Science and Technology at Tsinghua University and a doctoral supervisor. His research interests include parallel computing, compilers, programming languages, and performance evaluation.
Miscellany
  • His research group is looking for postdoc positions in parallel computing, compilers, programming models, and performance evaluation. They are also seeking undergraduate interns interested in system research, parallel computing, and compiler optimization.