Duo Lu (陆铎)

I am a second-year PhD student at Brown University advised by Prof. Uğur Çetintemel

I have a great research time with Prof. Tianzheng Wang to explore next-generation hardware Persistent Memory and Prof. Martin Ester on few-shot learning. I received my B.S. in Computing Science from Simon Fraser University in 2022.

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Research

I am broadly interested in core database systems, synchronization methods, and machine learning systems. I am currently focused on efficiently implementing, chaining, and optimizing various LLM operators within a streaming processing system, with an emphasis on high-dimensional embedding/vector operators and indexes. My previous work was to build and evaluate database indexes on persistent memory.

Publications
VectraFlow: Integrating Vectors into Stream Processing
Duo Lu, Siming Feng, Jonathan Zhou, Franco Solleza, Malte Schwarzkopf, Uğur Çetintemel
The Conference on Innovative Data Systems Research (CIDR), 2025, to appear.

Evaluating Persistent Memory Range Indexes: Part Two
Yuliang He, Duo Lu, Kaisong Huang, Tianzheng Wang
International Conference on Very Large Data Bases (Proceedings of VLDB), 2022.
Extended Version / Slides / Poster / Code


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