LabCompass

Rubao Lee

Computer Science · The Ohio State University

Mid career · publishing since 2007Rising activity

Publications

67

Citations

2,768

Est. group size

~2

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

Rubao Lee works on database and data management systems, with a focus on making large-scale data processing faster by exploiting specialized hardware such as GPUs, RDMA networks, and ray-tracing cores. Recent work includes new parallel algorithms for graph matching and tree comparison, GPU-accelerated arithmetic and query processing, and storage structures (like LSM-trees and R-trees) tuned for mixed read/write workloads. This research is aimed at improving the performance and scalability of database systems that handle very large datasets.

Database systems and query processingHardware-accelerated data management (GPU, RDMA, ray-tracing cores)Spatial and index data structures (R-trees, LSM-trees)Parallel algorithms for graphs and treesHigh-performance and scale-out data storage

Publication output was modest and fairly steady from 2017-2022, dipped to zero in 2023, then increased sharply in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
2017: 2 publications172018: 3 publications182019: 3 publications192020: 1 publication202021: 2 publications212022: 1 publication22232024: 7 publications242025: 8 publications8252026: 1 publication26
Publishes in
  • Proceedings of the VLDB Endowment×7
  • IEEE Conference Proceedings×3
  • ACM Transactions on Storage×2
  • arXiv (Cornell University)×2
  • Cambridge University Press eBooks×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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