All Publications
I strive to make my research accessible, reproducible, and available for consultation. If a paper and/or code repository is not directly available from the list below, feel free to reach out.| Reference | Date | Paper | Code |
|---|---|---|---|
M. Taherinezhad, S. Maier, G. Vitagliano, F. Pierri, S. Feuerriegel : AutoSynthesis: An agentic system for automated meta-analysis arXiv , 2026 | 2026 | ||
M. Russo, C. Liu, S. Sudhir, G. Vitagliano, M. Cafarella, T. Kraska, S. Madden : Abacus: A cost-based optimizer for semantic operator systems PVLDB , 2026 | 2026 | ||
E. Lai, G. Vitagliano, Z. Zhang, O. Chabra, S. Sudhir, A. Zeng, A. Zabreyko, C. Li, F. Kossmann, J. Ding, J. Chen, M. Markakis, M. Russo, W. Wang, Z. Wu, M. Cafarella, L. Cao, S. Madden, T. Kraska : Kramabench: A benchmark for ai systems on data-to-insight pipelines over data lakes International Conference on Learning Representations (ICLR) , 2026 | 2026 | ||
J. Lao, A. Zimmerer, O. Ovcharenko, T. Cong, M. Russo, G. Vitagliano, M. Cochez, F. Özcan, G. Gupta, T. Hottelier, H. V. Jagadish, K. Kissel, S. Schelter, A. Kipf, and I. Trummer : SemBench: A Benchmark for Semantic Query Processing Engines PVLDB , 2026 | 2026 | ||
G. Vitagliano, M. Russo, M. Cafarella, S. Madden, T. Kraska : Semantic Query Plan Optimization for AI-Powered Analytics IEEE Data Engineering Bulletin , 2026 | 2026 | ||
C. Liu, G. Vitagliano, B. Rose, M. Printz, D. Samson, M. Cafarella : PalimpChat: Declarative and Interactive AI analytics International Conference on Management of Data (SIGMOD) , 2025 | 2025 | ||
G Vitagliano, J Chen, PB Chen, F Kossmann, E Lai, C Liu, M Russo, S Sudhir, A Zeng, Z Zhang, MJ Cafarella, T Kraska, S Madden : Towards AI-Enabled Data-to-Insights Systems IEEE Data Engineering Bulletin , 2025 | 2025 | ||
C. Liu, M. Russo, M. Cafarella, L. Cao, P. B. Chen, Z. Chen, M. Franklin, T. Kraska, S. Madden, R. Shahout, G. Vitagliano : Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing International Conference on Innovative Data Systems Research (CIDR) , 2025 | 2025 | ||
M. Hameed, G. Vitagliano, F. Panse, F. Naumann : TASHEEH: Repairing Row-Structure in Raw CSV Files Proceedings of the International Conference on Extending Database Technology (EDBT) , 2024 | 2024 | ||
M. Hameed, G. Vitagliano, F. Naumann : MORPHER: Structural Transformation of ill-formed Rows. Proceedings of the International Conference on Information and Knowledge Management (CIKM) , 2023 | 2023 | ||
G. Vitagliano, M. Hameed, F. Naumann : Structural embedding of data files with MaGRiTTE. Table Representation Learning Workshop at NeurIPS (TRL@NeurIPS) , 2022 | 2022 | ||
G. Vitagliano, M. Hameed, L. Jiang, L. Reisener, E. Wu, F. Naumann : Pollock: A Data Loading Benchmark. PVLDB 16(8):1870–1882 , 2022 | 2022 | ||
G. Vitagliano, L. Reisener, L. Jiang, M. Hameed, F. Naumann : Mondrian: Spreadsheet Layout Detection. Proceedings of the International Conference on Management of Data (SIGMOD) , 2022 | 2022 | ||
M. Hameed, G. Vitagliano, L. Jiang, F. Naumann : SURAGH: Syntactic Pattern Matching to Identify Ill-Formed Records. Proceedings of the International Conference on Extending Database Technology (EDBT) , 2022 | 2022 | ||
L. Jiang, G. Vitagliano, M. Hameed, F. Naumann : Aggregation Detection in CSV Files. Proceedings of the International Conference on Extending Database Technology (EDBT) , 2022 | 2022 | ||
G. Vitagliano, L. Jiang, F. Naumann : Detecting Layout Templates in Complex Multiregion Files. PVLDB 15(3):646-658 , 2021 | 2021 | ||
L. Jiang, G. Vitagliano, F. Naumann : Structure Detection in Verbose CSV Files. Proceedings of the International Conference on Extending Database Technology (EDBT) , 2021 | 2021 | ||
L. Jiang, G. Vitagliano, F. Naumann : A Scoring-based Approach for Data Preparator Suggestion. Lernen, Wissen, Daten, Analysen (LWDA) , 2019 | 2019 |