Rubao Lee
Computer Science · The Ohio State University
Publications
67
Citations
2,768
Est. group size
~2
Recurring co-author estimate
Active years
20
Publishing since 2007
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.
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
- X-Blossom: Massive Parallelization of Graph Maximum Matching
Proceedings of the VLDB Endowment · 2025
- A Stable Marriage Requires a Shared Residence with Low Contention and Mutual Complementarity
2025
- RayDB: Building Databases with Ray Tracing Cores
Proceedings of the VLDB Endowment · 2025
- Data management interactions with computer architecture and systems
2025
- Data Management
Cambridge University Press eBooks · 2024
- RTScan: Efficient Scan with Ray Tracing Cores
Proceedings of the VLDB Endowment · 2024
- X-TED: Massive Parallelization of Tree Edit Distance
Proceedings of the VLDB Endowment · 2024
- High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now
Proceedings of the VLDB Endowment · 2024
- UltraPrecise: A GPU-Based Framework for Arbitrary-Precision Arithmetic in Database Systems
2024
- RTCUDB: Building Databases with RT Processors
arXiv (Cornell University) · 2024
- An RDMA-enabled In-memory Computing Platform for R-tree on Clusters
ACM Transactions on Spatial Algorithms and Systems · 2022
- The art of balance
Proceedings of the VLDB Endowment · 2021
- NestGPU: Nested Query Processing on GPU
2021
- Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing
2020
- DirectLoad: A Fast Web-Scale Index System Across Large Regional Centers
2019
- Proceedings of the VLDB Endowment×7
- IEEE Conference Proceedings×3
- ACM Transactions on Storage×2
- arXiv (Cornell University)×2
- Cambridge University Press eBooks×1
- Spyros Blanas
Computer Science · The Ohio State University
- Lü Xing
Computer Science · Purdue University West Lafayette
- Suren Byna
Computer Science · The Ohio State University
- Jaimie Kelley
Computer Science · The Ohio State University
- Dingwen Tao
Computer Science · Indiana University
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.
Claim or correct this profile