Minimizing Average Regret Ratio in Database. - Sepanta Zeighami; Raymond Chi-Wing Wong (SIGMOD Conference, 2016)

Finding Average Regret Ratio Minimizing Set in Database. - Sepanta Zeighami; Raymond Chi-Wing Wong (ICDE, 2019)

Dynamic Skyline Queries on Encrypted Data Using Result Materialization. - Sepanta Zeighami; Gabriel Ghinita; Cyrus Shahabi (CoRR, 2020)

Bridging the Gap Between Theory and Practice on Insertion-Intensive Database. - Sepanta Zeighami; Raymond Chi-Wing Wong (CoRR, 2020)

Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. - Sirisha Rambhatla; Sepanta Zeighami; Kameron Shahabi; Cyrus Shahabi; Yan Liu 002 (CoRR, 2020)

Secure Dynamic Skyline Queries Using Result Materialization. - Sepanta Zeighami; Gabriel Ghinita; Cyrus Shahabi (ICDE, 2021)

NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond. - Sepanta Zeighami; Cyrus Shahabi (CoRR, 2021)

Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling. - Sepanta Zeighami; Cyrus Shahabi; John Krumm (Proc. VLDB Endow., 2021)

A Neural Database for Differentially Private Spatial Range Queries. - Sepanta Zeighami; Ritesh Ahuja; Gabriel Ghinita; Cyrus Shahabi (Proc. VLDB Endow., 2022)

Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. - Sirisha Rambhatla; Sepanta Zeighami; Kameron Shahabi; Cyrus Shahabi; Yan Liu 002 (ACM Trans. Spatial Algorithms Syst., 2022)

On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing. - Sepanta Zeighami; Cyrus Shahabi (ICML, 2023)

Supporting Pandemic Preparedness with Privacy Enhancing Technology. - Ruixuan Liu; Sepanta Zeighami; Haowen Lin; Cyrus Shahabi; Yang Cao 011; Shun Takagi; Yoko Konishi; Masatoshi Yoshikawa; Li Xiong 001 (TPS-ISA, 2023)

A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. - Ritesh Ahuja; Sepanta Zeighami; Gabriel Ghinita; Cyrus Shahabi (Proc. ACM Manag. Data, 2023)

NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks. - Sepanta Zeighami; Cyrus Shahabi; Vatsal Sharan (Proc. ACM Manag. Data, 2023)

A Neural Database for Answering Aggregate Queries on Incomplete Relational Data (Extended Abstract). - Sepanta Zeighami; Raghav Seshadri; Cyrus Shahabi (ICDE, 2024)

Towards Establishing Guaranteed Error for Learned Database Operations. - Sepanta Zeighami; Cyrus Shahabi (ICLR, 2024)

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability. - Sepanta Zeighami; Cyrus Shahabi (ICML, 2024)

BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data. - Sepanta Zeighami; Cyrus Shahabi (MDM, 2024)

Towards Accurate and Efficient Document Analytics with Large Language Models. - Yiming Lin; Madelon Hulsebos; Ruiying Ma; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2024)

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability. - Sepanta Zeighami; Cyrus Shahahbi (CoRR, 2024)

A Neural Database for Answering Aggregate Queries on Incomplete Relational Data. - Sepanta Zeighami; Raghav Seshadri; Cyrus Shahabi (IEEE Trans. Knowl. Data Eng., 2024)

Querying Templatized Document Collections with Large Language Models. - Yiming Lin; Madelon Hulsebos; Ruiying Ma; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran; Eugene Wu 002 (ICDE, 2025)

NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval. - Sepanta Zeighami; Zac Wellmer; Aditya G. Parameswaran (ICLR, 2025)

LLM-Powered Proactive Data Systems. - Sepanta Zeighami; Yiming Lin; Shreya Shankar; Aditya G. Parameswaran (IEEE Data Eng. Bull., 2025)

RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines. - Quentin Romero Lauro; Shreya Shankar; Sepanta Zeighami; Aditya G. Parameswaran (CoRR, 2025)