Causal Relational Learning. - Babak Salimi; Harsh Parikh; Moe Kayali; Lise Getoor; Sudeepa Roy 001; Dan Suciu (SIGMOD Conference, 2020)

Demonstration of Inferring Causality from Relational Databases with CaRL. - Moe Kayali; Babak Salimi; Dan Suciu (Proc. VLDB Endow., 2020)

Mining Robust Default Configurations for Resource-constrained AutoML. - Moe Kayali; Chi Wang 001 (CoRR, 2022)

Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality. - Moe Kayali; Dan Suciu (Proc. VLDB Endow., 2022)

Making LLMs Work for Enterprise Data Tasks. - Çagatay Demiralp; Fabian Wenz; Peter Baile Chen; Moe Kayali; Nesime Tatbul; Michael Stonebraker (CoRR, 2024)

QirK: Question Answering via Intermediate Representation on Knowledge Graphs. - Jan Luca Scheerer; Anton Lykov; Moe Kayali; Ilias Fountalis; Dan Olteanu; Nikolaos Vasiloglou; Dan Suciu (CoRR, 2024)

BEAVER: An Enterprise Benchmark for Text-to-SQL. - Peter Baile Chen; Fabian Wenz; Yi Zhang 001; Moe Kayali; Nesime Tatbul; Michael J. Cafarella; Çagatay Demiralp; Michael Stonebraker (CoRR, 2024)

Mind the Data Gap: Bridging LLMs to Enterprise Data Integration. - Moe Kayali; Fabian Wenz; Nesime Tatbul; Çagatay Demiralp (CoRR, 2024)

CHORUS: Foundation Models for Unified Data Discovery and Exploration. - Moe Kayali; Anton Lykov; Ilias Fountalis; Nikolaos Vasiloglou; Dan Olteanu; Dan Suciu (Proc. VLDB Endow., 2024)

COLOR: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation. - Kyle B. Deeds; Diandre Sabale; Moe Kayali; Dan Suciu (Proc. VLDB Endow., 2024)

SSH-Passkeys: Leveraging Web Authentication for Passwordless SSH. - Moe Kayali; Jonas Schmitt; Franziska Roesner (CoRR, 2025)