Zhijia Zhao
Scholar

Zhijia Zhao

Google Scholar ID: klBvLwYAAAAJ
University of California, Riverside
CompilersParallelismParsingGraph ProcessingProgram Analysis
Citations & Impact
All-time
Citations
641
 
H-index
14
 
i10-index
20
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • Recipient of NSF CAREER Award (2018), Regents Faculty Fellowship (2018), Hellman Fellowship (2018), Best Paper Runner-up Award at MobiSys'18, and Best Paper Awards at ASPLOS'20 and ASPLOS'22. Notable works include: Streaming and Indexing of Semi-Structured Data, Graph Analytics: GPU Acceleration, Analyzing and Preserving Mobile App State, Parallelizing Finite-State Machine (FSM) Computations.
Research Experience
  • Joined UC Riverside as an assistant professor in 2015 and became an associate professor in 2020.
Education
  • Received Ph.D. in Computer Science from the College of William and Mary in 2015, under the supervision of Prof. Xipeng Shen.
Background
  • Research Interests: Developing algorithms and software libraries for high-performance data analytics, focusing on non-tabular (NoSQL) data such as graphs, semi-structured data, markup data, raw text, and binary serialization formats. Enhancing performance through efficient parallelization, redundancy elimination, and improved data locality. Exploring program analysis and AI/ML techniques to address correctness and performance challenges in real-world software applications.