Te Guo is a third-year Ph.D. student in Department of Computer Science at Purdue University. He is supervised by Prof. Jianguo Wang. He obtained his Bachelor’s degree in Computer Science at Yao Class, Tsinghua University.

His research focuses on disaggregated database and vector databases.

Education

• Ph.D. Student in Computer Science, Purdue University, Aug 2023 – Present
• B.E. in Computer Science, Tsinghua University, Aug 2019 – Jun 2023

Work Experience

• Software Engineering Intern at Databricks, May 2026 – Aug 2026

Publications

[SIGMOD’26] O3-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading.
Qi Lin, Gangqi Huang, Te Guo, Chang Guo, Viraj Thakkar, Zichen Zhu, Jianguo Wang, Zhichao Cao.
Proceedings of the ACM on Management of Data (SIGMOD’26), Bengaluru, India

[SIGMOD’24] GRF: A Global Range Filter for LSM-Trees with Shape Encoding.
Hengrui Wang, Te Guo, Junzhao Yang, Huanchen Zhang.
Proceedings of the ACM on Management of Data (SIGMOD’24), Santiago, Chile