Zhengyang Liu

I am a Ph.D. student at School of Computing, University of Utah. I am advised by John Regehr. Before coming to Utah, I received my bachelor's degree from Beijing University of Posts and Telecommunications.


Research Interests:
Programming languages, Compiler Optimizations, Parallel Computing and Systems for ML.
Publications:
Zixian Cai*, Zhengyang Liu* (equally contributed), Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi. Synthesizing Optimal Collective Algorithms. PPoPP 2021, Best Paper Award. [arXiv][DOI]
Manasij Mukherjee, Pranav Kant, Zhengyang Liu, John Regehr. Dataflow-based Pruning for Speeding up Superoptimization. OOPSLA 2020.
Jubi Taneja, Zhengyang Liu, and John Regehr. Testing Static Analyses for Precision and Soundness. CGO 2020, Best Paper Award. [DOI][artifact]
Juneyoung Lee, Chung-Kil Hur, Ralf Jung, Zhengyang Liu, John Regehr, and Nuno P. Lopes. Reconciling High-level Optimizations and Low-level Code in LLVM. OOPSLA 2018. [DOI]
Zhengyang Liu, and John Criswell. Flexible and Efficient Memory Object Metadata. International Symposium on Memory Management (ISMM), 2017. [DOI]
Zhengyang Liu, and Yiran Wei. Hop-by-hop Adaptive Video Streaming in Content Centric Network. IEEE International Conference on Communication (ICC), 2016. [DOI]
Talks:
Synthesizing Optimal Collective Algorithms, NVIDIA, September 2020.
Professional Services:
AEC@PLDI'21
AEC@CGO'21
ShadowPC@EuroSys'21
AEC@OOPSLA'21
Address:
School of Computing MEB 3355
University of Utah
Salt Lake City, UT 84112
E-mail:
liuz at cs dot utah dot edu
Links:
Google Scholar
PGP Public Key
Github, Linkedin, Last.fm Profile