Data management systems, cloud services, probabilistic databases, and data pricing in Computer Science & Engineering at the University of Washington in Seattle.
The University of Washington's database group aims at broadening the focus of database and data management techniques beyond their traditional scope. We do both theoretical and systems work in areas such as probabilistic databases, stream processing, sensor-based monitoring, databases and the web, XML, image/video data management, data management for machine learning, ubiquitous computing, data integration, and data mining.
‘Optimizing Dataflow Systems for Scalable Interactive Visualization’ by Junran Yang, Hyekang Kevin Joo, Sai Yerramreddy, Dominik Moritz, and Leilani Battle to appear at SIGMOD 2024.
‘VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building’ by Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, and Magdalena Balazinska to appear at VLDB 2024.
‘EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions’ by Enhao Zhang, Maureen Daum, Dong He, Brandon Haynes, Ranjay Krishna, and Magdalena Balazinska has been accepted at VLDB 2023.
‘Free Join: Unifying Worst-Case Optimal and Traditional Joins’ by Remy Wang, Max Willsey, and Dan Suciu to appear at SIGMOD 2023.
‘Degree Sequence Bounds for Cardinality Estimation’ by Kyle Deeds, Dan Suciu, Magda Balazinska, and Walter Cai to appear at ICDT 2023; ‘SafeBound: A Practical System for Generating Cardinality Bounds’ by Kyle Deeds, Dan Suciu, and Magda Balazinska to appear at SIGMOD 2023.
Two additional papers by the group to appear at VLDB 2023: ‘Quasi-stable Coloring for Graph Compression’ by Moe Kayali and Dan Suciu; ‘Computing Rule-Based Explanations by Leveraging Counterfactuals’ by Zixuan Geng, Maximilian Schleich, Dan Suciu.
‘Optimizing Tensor Programs on Flexible Storage’ by Maximilian Schleich, Amir Shaikhha, and Dan Suciu to appear at SIGMOD 2023.
‘Understanding Programmatic Weak Supervision via Source-aware Influence Function’ has been accepted at NeurIPS 2022. Congrats Jieyu Zhang, Cheng-Yu Hsieh, and Alex Ratner!
