Raul Castro Fernandez

91 papers A* 10A 5Journal 52Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Pneuma-Seeker: A Relational Reification Mechanism to Align AI Agents with Human Work over Relational Data.
CoRR
Muhammad Imam Luthfi Balaka, John Hillesland, Kemal Badur, Raul Castro Fernandez
2026 J jnl
Programmable Dataflows: Abstraction and Programming Model for Data Sharing.
VLDB J.
Siyuan Xia, Chris Zhu, Tapan Srivastava, Bridget Fahey, Raul Castro Fernandez
2026 A conf
The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent.
CIDR
Muhammad Imam Luthfi Balaka, Raul Castro Fernandez
2026 J jnl
The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent.
CoRR
Muhammad Imam Luthfi Balaka, Raul Castro Fernandez
2025 A conf
Core Hours and Carbon Credits: Incentivizing Sustainability in HPC.
SC
Alok Kamatar, Maxime Gonthier, Valérie Hayot-Sasson, André Bauer, Marcin Copik, Raul Castro Fernandez, Torsten Hoefler, Kyle Chard, Ian T. Foster
2025 J jnl
Core Hours and Carbon Credits: Incentivizing Sustainability in HPC.
CoRR
Alok Kamatar, Maxime Gonthier, Valérie Hayot-Sasson, André Bauer, Marcin Copik, Torsten Hoefler, Raul Castro Fernandez, Kyle Chard, Ian T. Foster
2025 J jnl
Data Ecology: Understanding and Designing Data Ecosystems.
SIGMOD Rec.
Raul Castro Fernandez
2025 J jnl
Emergent evaluation hubs in a decentralizing large language model ecosystem.
CoRR
Manuel Cebrian, Tomomi Kito, Raul Castro Fernandez
2025 J jnl
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior.
CoRR
Yue Gong, Raul Castro Fernandez
2025 J jnl
Front Matter.
Proc. VLDB Endow.
Sonia Bergamaschi, Sourav S. Bhowmick, Philippe Bonnet, Surajit Chaudhuri, Xiaoou Ding, Hakan Ferhatosmanoglu, Raul Castro Fernandez, Jana Giceva, Madelon Hulsebos, Alexandra Meliou, Nikos Ntarmos, Themis Palpanas, John Paparrizos, Norman Paton, Subhadeep Sarkar, Giovanni Simonini, Nesime Tatbul, Jiuqi Wei, Jingren Zhou
2025 — conf
Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking.
AI (1)
Aldan Creo, Raul Castro Fernandez, Manuel Cebrián
2025 J jnl
Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking.
CoRR
Aldan Creo, Raul Castro Fernandez, Manuel Cebrian
2025 — conf
Not-So-Bitter Pill to Swallow: Slipstreaming Memory Safe Programming via Rust as part of a Database Systems Course.
DataEd@SIGMOD
Mohammed Suhail Rehman, Aaron J. Elmore, Raul Castro Fernandez
2025 J jnl
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System.
CoRR
Muhammad Imam Luthfi Balaka, David Alexander, Qiming Wang, Yue Gong, Adila Krisnadhi, Raul Castro Fernandez
2025 J jnl
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System.
Proc. ACM Manag. Data
Muhammad Imam Luthfi Balaka, David Alexander, Qiming Wang, Yue Gong, Adila Krisnadhi, Raul Castro Fernandez
2025 — conf
Where Does Academic Database Research Go From Here?
SIGMOD Conference Companion
Eugene Wu, Raul Castro Fernandez
2025 J jnl
Where Does Academic Database Research Go From Here?
CoRR
Eugene Wu, Raul Castro Fernandez
2025 J jnl
Where Does Academic Database Research Go From Here?
Proc. VLDB Endow.
Eugene Wu, Raul Castro Fernandez
2024 J jnl
A Survey on Data Markets.
CoRR
Jiayao Zhang, Yuran Bi, Mengye Cheng, Jinfei Liu, Kui Ren, Qiheng Sun, Yihang Wu, Yang Cao, Raul Castro Fernandez, Haifeng Xu, Ruoxi Jia, Yongchan Kwon, Jian Pei, Jiachen T. Wang, Haocheng Xia, Li Xiong, Xiaohui Yu, James Zou
2024 J jnl
Controlling Dataflows with a Bolt-on Data Escrow.
CoRR
Zhiru Zhu, Raul Castro Fernandez
2024 — conf
Demonstrating Nexus for Correlation Discovery over Collections of Spatio-Temporal Tabular Data.
SIGMOD Conference Companion
Yue Gong, Raul Castro Fernandez
2024 — conf
Demonstration of Ver: View Discovery in the Wild.
SIGMOD Conference Companion
Kevin Dharmawan, Chirag A. Kawediya, Yue Gong, Zaki Indra Yudhistira, Zhiru Zhu, Sainyam Galhotra, Adila Alfa Krisnadhi, Raul Castro Fernandez
2024 J jnl
FabricQA-Extractor: A Question Answering System to Extract Information from Documents using Natural Language Questions.
CoRR
Qiming Wang, Raul Castro Fernandez
2024 J jnl
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data.
Proc. ACM Manag. Data
Yue Gong, Sainyam Galhotra, Raul Castro Fernandez
2024 J jnl
Programmable Dataflows: Abstraction and Programming Model for Data Sharing.
CoRR
Siyuan Xia, Chris Zhu, Tapan Srivastava, Bridget Fahey, Raul Castro Fernandez
2024 — conf
Responsible Sharing of Spatiotemporal Data.
SIGMOD Conference Companion
Raul Castro Fernandez, Arnab Nandi
2024 J jnl
Saving Money for Analytical Workloads in the Cloud.
CoRR
Tapan Srivastava, Raul Castro Fernandez
2024 J jnl
Saving Money for Analytical Workloads in the Cloud.
Proc. VLDB Endow.
Tapan Srivastava, Raul Castro Fernandez
2023 J jnl
A Data-Centric Online Market for Machine Learning: From Discovery to Pricing.
CoRR
Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu
2023 A* conf
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm.
ICML
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
2023 J jnl
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm.
CoRR
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
2023 J jnl
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools.
Proc. ACM Manag. Data
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden
2023 J jnl
Data Discovery using Natural Language Questions via a Self-Supervised Approach.
CoRR
Qiming Wang, Raul Castro Fernandez
2023 J jnl
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow.
CoRR
Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
2023 J jnl
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration.
Proc. VLDB Endow.
Jian Pei, Raul Castro Fernandez, Xiaohui Yu
2023 J jnl
Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia.
Proc. ACM Manag. Data
Raul Castro Fernandez
2023 J jnl
How Large Language Models Will Disrupt Data Management.
Proc. VLDB Endow.
Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan
2023 J jnl
Kitana: Efficient Data Augmentation Search for AutoML.
CoRR
Zezhou Huang, Pranav Subramaniam, Raul Castro Fernandez, Eugene Wu
2023 J jnl
METAM: Goal-Oriented Data Discovery.
CoRR
Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
2023 J jnl
Making Differential Privacy Easier to Use for Data Controllers and Data Analysts using a Privacy Risk Indicator and an Escrow-Based Platform.
CoRR
Zhiru Zhu, Raul Castro Fernandez
2023 A* conf
Metam: Goal-Oriented Data Discovery.
ICDE
Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
2023 J jnl
Saibot: A Differentially Private Data Search Platform.
CoRR
Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu
2023 J jnl
Saibot: A Differentially Private Data Search Platform.
Proc. VLDB Endow.
Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu
2023 J jnl
Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach.
Proc. ACM Manag. Data
Qiming Wang, Raul Castro Fernandez
2023 A* conf
Ver: View Discovery in the Wild.
ICDE
Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
2022 J jnl
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow.
Proc. VLDB Endow.
Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
2022 J jnl
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.
AI Mag.
Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang
2022 — conf
Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation.
SIGMOD Conference
Zixuan Zhao, Raul Castro Fernandez
2022 — conf
Protecting Data Markets from Strategic Buyers.
SIGMOD Conference
Raul Castro Fernandez
2022 J jnl
Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective.
SIGMOD Rec.
Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez
2021 J jnl
Comprehensive and Comprehensible Data Catalogs: The What, Who, Where, When, Why, and How of Metadata Management.
CoRR
Pranav Subramaniam, Yintong Ma, Chi Li, Ipsita Mohanty, Raul Castro Fernandez
2021 J jnl
Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example.
CoRR
Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
2020 A conf
A System for Studying Deep Network Training.
CIDR
Raul Castro Fernandez
2020 J jnl
ARDA: Automatic Relational Data Augmentation for Machine Learning.
CoRR
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
2020 J jnl
ARDA: Automatic Relational Data Augmentation for Machine Learning.
Proc. VLDB Endow.
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
2020 J jnl
Data Market Platforms: Trading Data Assets to Solve Data Problems [Vision Paper].
CoRR
Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin
2020 J jnl
Data Market Platforms: Trading Data Assets to Solve Data Problems.
Proc. VLDB Endow.
Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin
2020 — conf
Starling: A Scalable Query Engine on Cloud Functions.
SIGMOD Conference
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden
2020 J jnl
The Data Station: Combining Data, Compute, and Market Forces.
CoRR
Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster
2019 — ch.
Aurum: a story about research taste.
Making Databases Work
Raul Castro Fernandez
2019 — ch.
Data civilizer: end-to-end support for data discovery, integration, and cleaning.
Making Databases Work
Mourad Ouzzani, Nan Tang, Raul Castro Fernandez
2019 J jnl
Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery.
CoRR
Raul Castro Fernandez, Nan Tang, Mourad Ouzzani, Michael Stonebraker, Samuel Madden
2019 A* conf
Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment.
ICDE
Raul Castro Fernandez, Jisoo Min, Demitri Nava, Samuel Madden
2019 — conf
Raha: A Configuration-Free Error Detection System.
SIGMOD Conference
Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
2019 J jnl
Starling: A Scalable Query Engine on Cloud Function Services.
CoRR
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden
2019 J jnl
Termite: A System for Tunneling Through Heterogeneous Data.
CoRR
Raul Castro Fernandez, Samuel Madden
2019 — conf
Termite: a system for tunneling through heterogeneous data.
aiDM@SIGMOD
Raul Castro Fernandez, Samuel Madden
2018 A* conf
Aurum: A Data Discovery System.
ICDE
Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker
2018 A* conf
Building Data Civilizer Pipelines with an Advanced Workflow Engine.
ICDE
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 A* conf
Extracting Syntactical Patterns from Databases.
ICDE
Andrew Ilyas, Joana M. F. da Trindade, Raul Castro Fernandez, Samuel Madden
2018 A* conf
FAHES: A Robust Disguised Missing Values Detector.
KDD
Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Raul Castro Fernandez, Mourad Ouzzani, Nan Tang
2018 — conf
Meta-Dataflows: Efficient Exploratory Dataflow Jobs.
SIGMOD Conference
Raul Castro Fernandez, William Culhane, Pijika Watcharapichat, Matthias Weidlich, Victoria Lopez Morales, Peter R. Pietzuch
2018 A* conf
Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery.
ICDE
Raul Castro Fernandez, Essam Mansour, Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
2018 J jnl
Smallify: Learning Network Size while Training.
CoRR
Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden
2017 — conf
A Demo of the Data Civilizer System.
SIGMOD Conference
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
2017 J jnl
Extracting Syntactic Patterns from Databases.
CoRR
Andrew Ilyas, Joana M. F. da Trindade, Raul Castro Fernandez, Samuel Madden
2017 A conf
The Data Civilizer System.
CIDR
Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang
2017 J jnl
What to do about database decay.
Commun. ACM
Michael Stonebraker, Raul Castro Fernandez, Dong Deng, Michael L. Brodie
2016 — conf
Ako: Decentralised Deep Learning with Partial Gradient Exchange.
SoCC
Pijika Watcharapichat, Victoria Lopez Morales, Raul Castro Fernandez, Peter R. Pietzuch
2016 J jnl
Detecting Data Errors: Where are we and what needs to be done?
Proc. VLDB Endow.
Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang
2016 A* conf
Java2SDG: Stateful big data processing for the masses.
ICDE
Raul Castro Fernandez, Panagiotis Garefalakis, Peter R. Pietzuch
2016 J jnl
Quill: Efficient, Transferable, and Rich Analytics at Scale.
Proc. VLDB Endow.
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
2016 — conf
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures.
SIGMOD Conference
Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter R. Pietzuch
2016 — —
Stateful data-parallel processing.
Raul Castro Fernandez
2016 — conf
The SABER system for window-based hybrid stream processing with GPGPUs: demo.
DEBS
Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter R. Pietzuch
2016 — conf
Towards large-scale data discovery: position paper.
ExploreDB@SIGMOD/PODS
Raul Castro Fernandez, Ziawasch Abedjan, Samuel Madden, Michael Stonebraker
2015 A conf
Liquid: Unifying Nearline and Offline Big Data Integration.
CIDR
Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede, Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang
2014 — conf
Making State Explicit for Imperative Big Data Processing.
USENIX ATC
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch
2014 — conf
Scalable stateful stream processing for smart grids.
DEBS
Raul Castro Fernandez, Matthias Weidlich, Peter R. Pietzuch, Avigdor Gal
2013 — conf
Integrating scale out and fault tolerance in stream processing using operator state management.
SIGMOD Conference
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch
2013 — conf
Scalable and Fault-tolerant Stateful Stream Processing.
ICCSW
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch