Raul Castro Fernandez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
9
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CIDR | The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent. | Muhammad Imam Luthfi Balaka, Raul Castro Fernandez |
| 2025 | SC | Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. | Alok Kamatar, Maxime Gonthier, Valrie Hayot-Sasson, Andr Bauer, Marcin Copik, Raul Castro Fernandez, Torsten Hoefler, Kyle Chard, Ian T. Foster |
| 2025 | SIGMOD | Where Does Academic Database Research Go From Here? | Eugene Wu, Raul Castro Fernandez |
| 2025 | SGAI | Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking. | Aldan Creo, Raul Castro Fernandez, Manuel Cebrin |
| 2024 | SIGMOD | Demonstration of Ver: View Discovery in the Wild. | Kevin Dharmawan, Chirag A. Kawediya, Yue Gong, Zaki Indra Yudhistira, Zhiru Zhu, Sainyam Galhotra, Adila Alfa Krisnadhi, Raul Castro Fernandez |
| 2024 | SIGMOD | Responsible Sharing of Spatiotemporal Data. | Raul Castro Fernandez, Arnab Nandi |
| 2024 | SIGMOD | Demonstrating Nexus for Correlation Discovery over Collections of Spatio-Temporal Tabular Data. | Yue Gong, Raul Castro Fernandez |
| 2023 | ICDE | Metam: Goal-Oriented Data Discovery. | Sainyam Galhotra, Yue Gong, Raul Castro Fernandez |
| 2023 | ICDE | Ver: View Discovery in the Wild. | Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez |
| 2023 | ICML | Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. | Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar |
| 2022 | SIGMOD | Protecting Data Markets from Strategic Buyers. | Raul Castro Fernandez |
| 2022 | SIGMOD | Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation. | Zixuan Zhao, Raul Castro Fernandez |
| 2020 | CIDR | A System for Studying Deep Network Training. | Raul Castro Fernandez |
| 2020 | SIGMOD | Starling: A Scalable Query Engine on Cloud Functions. | Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden |
| 2019 | ICDE | Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment. | Raul Castro Fernandez, Jisoo Min, Demitri Nava, Samuel Madden |
| 2019 | SIGMOD | Termite: a system for tunneling through heterogeneous data. | Raul Castro Fernandez, Samuel Madden |
| 2019 | SIGMOD | Raha: A Configuration-Free Error Detection System. | Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang |
| 2018 | ICDE | Aurum: A Data Discovery System. | Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker |
| 2018 | ICDE | Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery. | Raul Castro Fernandez, Essam Mansour, Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang |
| 2018 | ICDE | Extracting Syntactical Patterns from Databases. | Andrew Ilyas, Joana M. F. da Trindade, Raul Castro Fernandez, Samuel Madden |
| 2018 | ICDE | Building Data Civilizer Pipelines with an Advanced Workflow Engine. | Essam Mansour, Dong Deng, Raul Castro Fernandez, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang |
| 2018 | KDD | FAHES: A Robust Disguised Missing Values Detector. | Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Raul Castro Fernandez, Mourad Ouzzani, Nan Tang |
| 2018 | SIGMOD | Meta-Dataflows: Efficient Exploratory Dataflow Jobs. | Raul Castro Fernandez, William Culhane, Pijika Watcharapichat, Matthias Weidlich, Victoria Lopez Morales, Peter R. Pietzuch |
| 2017 | CIDR | The Data Civilizer System. | Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang |
| 2017 | SIGMOD | A Demo of the Data Civilizer System. | Raul Castro Fernandez, Dong Deng, Essam Mansour, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang |
| 2016 | CLOUD | Ako: Decentralised Deep Learning with Partial Gradient Exchange. | Pijika Watcharapichat, Victoria Lopez Morales, Raul Castro Fernandez, Peter R. Pietzuch |
| 2016 | ICDE | Java2SDG: Stateful big data processing for the masses. | Raul Castro Fernandez, Panagiotis Garefalakis, Peter R. Pietzuch |
| 2016 | SIGMOD | Towards large-scale data discovery: position paper. | Raul Castro Fernandez, Ziawasch Abedjan, Samuel Madden, Michael Stonebraker |
| 2016 | SIGMOD | SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures. | Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter R. Pietzuch |
| 2015 | CIDR | Liquid: Unifying Nearline and Offline Big Data Integration. | Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede, Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang |
| 2014 | USENIX | Making State Explicit for Imperative Big Data Processing. | Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch |
| 2013 | SIGMOD | Integrating scale out and fault tolerance in stream processing using operator state management. | Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch |