Publications

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer

Hanwen Liu*, Qihan Zhang*, Ryan Marcus, Ibrahim Sabek

International Conference on Management of Data (SIGMOD), 2026

* Equal contribution

Intrinsic Geospatial Topological Reasoning in LLMs

Shaolin Xie, Shang-ling Hsu, Qihan Zhang, Yiming Gao, Cyrus Shahabi, Ibrahim Sabek

Workshop on Generative and Agentic AI for Multi-Modality Space-Time Intelligence (GeoGenAgent@SIGSPATIAL), 2025

A Demonstration of Q2O: Quantum-Augmented Query Optimizer

Hanwen Liu, Federico Spedalieri, Ibrahim Sabek

International Conference on Very Large Data Bases (Demo@VLDB), 2025

LIMAO: A Framework for Lifelong Modular Learned Query Optimization

Qihan Zhang, Shaolin Xie, Ibrahim Sabek

International Conference on Very Large Data Bases (VLDB), 2025

From Logs to Causal Inference: Diagnosing Large Systems

M. Markakis, B. Youngmann, T. Gao, Z. Zhang, R. Shahout, P. B. Chen, C. Liu, I. Sabek, M. Cafarella

International Conference on Very Large Data Bases (VLDB), 2025

Conformal Prediction for Verifiable Learned Query Optimization

Hanwen Liu, Shashank Giridhara, Ibrahim Sabek

International Conference on Very Large Data Bases (VLDB), 2025

SERAG: Self-Evolving RAG System for Query Optimization

Hanwen Liu*, Qihan Zhang*, Ryan Marcus, Ibrahim Sabek

Workshop on Applied AI for Database Systems and Applications (aiDM@SIGMOD), 2025

* Equal contribution

Hybrid Quantum-Classical Optimization for Bushy Join Trees

Hanwen Liu, Abhishek Kumar, Federico Spedalieri, Ibrahim Sabek

Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data@SIGMOD), 2025

Optimizing Video Selection LIMIT Queries With Commonsense Knowledge

Wenjia He, Ibrahim Sabek, Yuze Lou, Michael Cafarella

International Conference on Very Large Data Bases (VLDB), 2024