Sepanta Zeighami

CoRR, April, 2026

Can AI Agents Answer Your Data Questions? A Benchmark for Data Agents.

[BibT_eX]

[DOI]

CoRR, March, 2026

Arming Data Agents with Tribal Knowledge.

[BibT_eX]

[DOI]

CoRR, February, 2026

Task Cascades for Efficient Unstructured Data Processing.

[BibT_eX]

[DOI]

CoRR, January, 2026

Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference on Innovative Data Systems Research, 2026

RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines.

[BibT_eX]

[DOI]

Quentin Romero Lauro

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees.

[BibT_eX]

[DOI]

CoRR, December, 2025

Multi-Objective Agentic Rewrites for Unstructured Data Processing.

[BibT_eX]

[DOI]

CoRR, December, 2025

RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines.

[BibT_eX]

[DOI]

Quentin Romero Lauro

CoRR, April, 2025

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2025

LLM-Powered Proactive Data Systems.

[BibT_eX]

[DOI]

Yiming Lin

IEEE Data Eng. Bull., 2025

NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval.

[BibT_eX]

[DOI]

Zac Wellmer

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Querying Templatized Document Collections with Large Language Models.

[BibT_eX]

[DOI]

Eugene Wu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

A Neural Database for Answering Aggregate Queries on Incomplete Relational Data.

[BibT_eX]

[DOI]

Raghav Seshadri

IEEE Trans. Knowl. Data Eng., July, 2024

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability.

[BibT_eX]

[DOI]

Cyrus Shahahbi

CoRR, 2024

Towards Accurate and Efficient Document Analytics with Large Language Models.

[BibT_eX]

[DOI]

Eugene Wu

CoRR, 2024

BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Establishing Guaranteed Error for Learned Database Operations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Neural Database for Answering Aggregate Queries on Incomplete Relational Data (Extended Abstract).

[BibT_eX]

[DOI]

Raghav Seshadri

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks.

[BibT_eX]

[DOI]

Vatsal Sharan

Proc. ACM Manag. Data, 2023

A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

Supporting Pandemic Preparedness with Privacy Enhancing Technology.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Trust, 2023

On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., 2022

A Neural Database for Differentially Private Spatial Range Queries.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

2021

Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling.

[BibT_eX]

[DOI]

John Krumm

Proc. VLDB Endow., 2021

NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond.

[BibT_eX]

[DOI]

CoRR, 2021

Secure Dynamic Skyline Queries Using Result Materialization.

[BibT_eX]

[DOI]

Gabriel Ghinita

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data.

[BibT_eX]

[DOI]

CoRR, 2020

Bridging the Gap Between Theory and Practice on Insertion-Intensive Database.

[BibT_eX]

[DOI]

Raymond Chi-Wing Wong

CoRR, 2020

Dynamic Skyline Queries on Encrypted Data Using Result Materialization.

[BibT_eX]

[DOI]

Gabriel Ghinita

CoRR, 2020

2019

Finding Average Regret Ratio Minimizing Set in Database.

[BibT_eX]

[DOI]

Raymond Chi-Wing Wong

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2016

Minimizing Average Regret Ratio in Database.

[BibT_eX]

[DOI]