Raul Castro Fernandez

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 60

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Yue Gong, Raul Castro Fernandez
Demonstrating Nexus for Correlation Discovery over Collections of Spatio-Temporal Tabular Data. SIGMOD Conference Companion (2024)
Raul Castro Fernandez, Arnab Nandi
Responsible Sharing of Spatiotemporal Data. SIGMOD Conference Companion (2024)
Yue Gong, Sainyam Galhotra, Raul Castro Fernandez
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data. Proc. ACM Manag. Data 2 (3) (2024)
Kevin Dharmawan, Chirag A. Kawediya, Yue Gong, Zaki Indra Yudhistira, Zhiru Zhu, Sainyam Galhotra, Adila Alfa Krisnadhi, Raul Castro Fernandez
Demonstration of Ver: View Discovery in the Wild. SIGMOD Conference Companion (2024)
Qiming Wang, Raul Castro Fernandez
Data Discovery using Natural Language Questions via a Self-Supervised Approach. CoRR (2023)
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. CoRR (2023)
Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
Ver: View Discovery in the Wild. ICDE (2023)
Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR (2023)
Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu
Saibot: A Differentially Private Data Search Platform. Proc. VLDB Endow. 16 (11) (2023)
Zhiru Zhu, Raul Castro Fernandez
Making Differential Privacy Easier to Use for Data Controllers and Data Analysts using a Privacy Risk Indicator and an Escrow-Based Platform. CoRR (2023)
Jian Pei, Raul Castro Fernandez, Xiaohui Yu
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration. Proc. VLDB Endow. 16 (12) (2023)
Raul Castro Fernandez
Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia. Proc. ACM Manag. Data 1 (2) (2023)
Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
Metam: Goal-Oriented Data Discovery. ICDE (2023)
Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan
How Large Language Models Will Disrupt Data Management. Proc. VLDB Endow. 16 (11) (2023)
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. ICML (2023)
Qiming Wang, Raul Castro Fernandez
Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach. Proc. ACM Manag. Data 1 (4) (2023)
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. Proc. ACM Manag. Data 1 (4) (2023)
Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu
A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. CoRR (2023)
Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu
Saibot: A Differentially Private Data Search Platform. CoRR (2023)
Zezhou Huang, Pranav Subramaniam, Raul Castro Fernandez, Eugene Wu
Kitana: Efficient Data Augmentation Search for AutoML. CoRR (2023)
Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
METAM: Goal-Oriented Data Discovery. CoRR (2023)
Raul Castro Fernandez
Protecting Data Markets from Strategic Buyers. SIGMOD Conference (2022)
Siyuan Xia, Zhiru Zhu, Christopher Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. 15 (11) (2022)
Zixuan Zhao, Raul Castro Fernandez
Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation. SIGMOD Conference (2022)
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
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43 (1) (2022)
Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez
Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. SIGMOD Rec. 51 (3) (2022)
Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez
Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example. CoRR (2021)
Pranav Subramaniam, Yintong Ma, Chi Li, Ipsita Mohanty, Raul Castro Fernandez
Comprehensive and Comprehensible Data Catalogs: The What, Who, Where, When, Why, and How of Metadata Management. CoRR (2021)
Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster
The Data Station: Combining Data, Compute, and Market Forces. CoRR (2020)
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
ARDA: Automatic Relational Data Augmentation for Machine Learning. Proc. VLDB Endow. 13 (9) (2020)
Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin
Data Market Platforms: Trading Data Assets to Solve Data Problems [Vision Paper]. CoRR (2020)
Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin
Data Market Platforms: Trading Data Assets to Solve Data Problems. Proc. VLDB Endow. 13 (11) (2020)
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden
Starling: A Scalable Query Engine on Cloud Functions. SIGMOD Conference (2020)
Raul Castro Fernandez
A System for Studying Deep Network Training. CIDR (2020)
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
ARDA: Automatic Relational Data Augmentation for Machine Learning. CoRR (2020)
Raul Castro Fernandez, Samuel Madden
Termite: a system for tunneling through heterogeneous data. aiDM@SIGMOD (2019)
Raul Castro Fernandez, Samuel Madden
Termite: A System for Tunneling Through Heterogeneous Data. CoRR (2019)
Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden
Starling: A Scalable Query Engine on Cloud Function Services. CoRR (2019)
Raul Castro Fernandez, Jisoo Min, Demitri Nava, Samuel Madden
Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment. ICDE (2019)
Raul Castro Fernandez, Nan Tang, Mourad Ouzzani, Michael Stonebraker, Samuel Madden
Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery. CoRR (2019)
Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
Raha: A Configuration-Free Error Detection System. SIGMOD Conference (2019)
Andrew Ilyas, Joana M. F. da Trindade, Raul Castro Fernandez, Samuel Madden
Extracting Syntactical Patterns from Databases. ICDE (2018)
Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker
Aurum: A Data Discovery System. ICDE (2018)
Raul Castro Fernandez, Essam Mansour, Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery. ICDE (2018)
Raul Castro Fernandez, William Culhane, Pijika Watcharapichat, Matthias Weidlich, Victoria Lopez Morales, Peter R. Pietzuch
Meta-Dataflows: Efficient Exploratory Dataflow Jobs. SIGMOD Conference (2018)
Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Raul Castro Fernandez, Mourad Ouzzani, Nan Tang
FAHES: A Robust Disguised Missing Values Detector. KDD (2018)
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
Building Data Civilizer Pipelines with an Advanced Workflow Engine. ICDE (2018)
Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden
Smallify: Learning Network Size while Training. CoRR (2018)
Michael Stonebraker, Raul Castro Fernandez, Dong Deng, Michael L. Brodie
What to do about database decay. Commun. ACM 60 (1) (2017)
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
A Demo of the Data Civilizer System. SIGMOD Conference (2017)
Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang
The Data Civilizer System. CIDR (2017)
Andrew Ilyas, Joana M. F. da Trindade, Raul Castro Fernandez, Samuel Madden
Extracting Syntactic Patterns from Databases. CoRR (2017)
Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter R. Pietzuch
The SABER system for window-based hybrid stream processing with GPGPUs: demo. DEBS (2016)
Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter R. Pietzuch
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures. SIGMOD Conference (2016)
Pijika Watcharapichat, Victoria Lopez Morales, Raul Castro Fernandez, Peter R. Pietzuch
Ako: Decentralised Deep Learning with Partial Gradient Exchange. SoCC (2016)
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
Quill: Efficient, Transferable, and Rich Analytics at Scale. Proc. VLDB Endow. 9 (14) (2016)
Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9 (12) (2016)
Raul Castro Fernandez, Panagiotis Garefalakis, Peter R. Pietzuch
Java2SDG: Stateful big data processing for the masses. ICDE (2016)
Raul Castro Fernandez, Ziawasch Abedjan, Samuel Madden, Michael Stonebraker
Towards large-scale data discovery: position paper. ExploreDB@SIGMOD/PODS (2016)
Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede, Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang
Liquid: Unifying Nearline and Offline Big Data Integration. CIDR (2015)
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch
Making State Explicit for Imperative Big Data Processing. USENIX Annual Technical Conference (2014)
Raul Castro Fernandez, Matthias Weidlich, Peter R. Pietzuch, Avigdor Gal
Scalable stateful stream processing for smart grids. DEBS (2014)
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch
Scalable and Fault-tolerant Stateful Stream Processing. ICCSW (2013)
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch
Integrating scale out and fault tolerance in stream processing using operator state management. SIGMOD Conference (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raul Castro Fernandez