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.
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Publications
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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.
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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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Power by Github Pages - Template from jonbarron
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