Duo Lu (陆铎)

I am a 4th-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.

Email  /  CV  /  Google Scholar  /  Github

profile photo
Research

I build data systems for the AI era, with research spanning two complementary paths:

Vector search. I design and evaluate vector search techniques inside modern database systems, with an emphasis on filtered and filter-agnostic vector search, high-dimensional embedding operators, and indexes that integrate efficiently with relational query processing and stream processing.

Declarative agentic AI data systems. I develop declarative abstractions and data-system primitives for building, orchestrating, and optimizing agent harnesses and LLM workflows, enabling systems to plan and adapt multi-step AI workloads.

Publications
Credo: Reusable Declarative Primitives for Agentic Workloads
Duo Lu, Andrew Crotty, Uğur Çetintemel
The Conference on Innovative Data Systems Research (CIDR), 2027, To be appear.

Declarative Data Services: Structured Agentic Discovery for Composing Data Systems
Shanshan Ye*, Duo Lu*
AI Agents for Discovery in the Wild (AID-WilD) @ ACM Conference on AI and Agentic System (ACM CAIS), 2026.
* Equal contribution.
Poster

Credo: Declarative Control of LLM Pipelines via Beliefs and Policies
Duo Lu, Andrew Crotty, Uğur Çetintemel
International Conference on Very Large Data Bases (VLDB), 2026. (Demo Track)
Slides / Poster / Code

An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System
Duo Lu, Helena Caminal, Manos Chatzakis, Yannis Papakonstantinou, Yannis Chronis, Vaibhav Jain, Fatma Ozcan
International Conference on Management of Data (SIGMOD), 2026.
Presentation / Poster / Code / BDA 2026

Making Prompts First-Class Citizens for Adaptive LLM Pipelines
Uğur Çetintemel, Shu Chen, Alexander W. Lee, Deepti Raghavan, Duo Lu, Andrew Crotty
The Conference on Innovative Data Systems Research (CIDR), 2026.

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.
Featured in ANNS workshop at EDBT 2026

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

Experience
Jun 2026 ~ Aug 2026 Student Researcher
Sunnyvale, CA, United States Google logoGoogle, Systems Research Group (SRG)
Hosts: Helena Caminal, Yannis Chronis, Fatma Özcan
Developing a hybrid search system that fuses retrievers for natural-language queries over relational tables.
May 2025 ~ Dec 2025 Student Researcher
Sunnyvale, CA, United States Google logoGoogle, Systems Research Group (SRG)
Hosts: Helena Caminal, Yannis Chronis, Fatma Özcan
Developed and evaluated filtered vector search indexes in collaboration with the Google AlloyDB team.
May 2022 ~ Aug 2023 Embedded Software Developer
Vancouver, BC, Canada Fortinet logoFortinet, FortiOS Routing Team
Manager: Henry Xing
Maintained and improved routing protocols such as OSPF and BGP in FortiOS.
Talks
Sep 2026 Intelligent Search: Making Multi-Column Retrieval Practical
Remote Invited Talk, Google, Vector Search TL Council
Host: Prof. Jianguo Wang
Apr 2026 Filtered Vector Search in PostgreSQL
Host: Prof. Jianguo Wang
Services
Shadow Program Committee, VLDB 2027
Reviewer: NOVAS 2026 @ VLDB 2026, AID-WilD 2026 @ ACM CAIS 2026
Artifact Evaluation Committee, ACM CAIS 2026

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