UW Database Group
Innovating the Future of Data Management at the University of Washington
The University of Washington’s database group is at the forefront of pioneering research that transcends traditional boundaries of data management. Our multidisciplinary team explores cutting-edge areas including multimodal database systems, the intersection of generative AI and data management, dynamic query evaluation and optimization, immersive, scalable data visualization, and user-centered research. We are passionate about transforming how data is stored, accessed, and understood—driving innovation that empowers scientists, industries, and society to harness the full potential of data in the AI era.
Recent News
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July 1, 2025:
‘CENTS: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding’ by Guorui Xiao, Dong He, Jin Wang, and Magdalena Balazinska has been accepted at VLDB 2025.
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June 25, 2025:
‘LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences’ by Haozhe Zhang, Christoph Mayer, Mahmoud Abo Khamis, Dan Olteanu, Dan Suciu received the SIGMOD’2025 Best Paper Award.
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May 8, 2025:
‘Bootstrapping Compositional Video Query Synthesis with Natural Language and Previous Queries from Users’ by Manasi Ganti, Enhao Zhang, and Magdalena Balazinska has been accepted at the HILDA workshop, SIGMOD 2025.
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March 26, 2025:
‘MaskSearch: Querying Image Masks at Scale’ by Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, and Magdalena Balazinska has been accepted at ICDE 2025.
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March 3, 2025:
Kyle Deeds and Timo Camillo Merkle received the Best Paper award at ICDT 2025 for their paper Worst-Case Optimal Joins Meet Partition Constraints!
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February 14, 2025:
‘Mind the Data Gap: Bridging Large Language Models (LLMs) to Enterprise Data Integration’ by Moe Kayali (University of Washington), Fabian Wenz (TUM), Nesime Tatbul (Intel Labs and MIT), Cagatay Demiralp (MIT CSAIL) has been accepted at CIDR 2025.
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February 12, 2025:
Four papers from UWDB got accepted into SIGMOD 2025!
- ‘Galley: Modern Query Optimization for Sparse Tensor Programming’ by Kyle Deeds, Willow Ahrens, Magda Balazinska and Dan Suciu
- ‘Self-Enhancing Video Data Management System for Compositional Events with Large Language Models’ by Enhao Zhang, Nicole Sullivan, Brandon Haynes, Ranjay Krishna, and Magdalena Balazinska
- ‘HoneyComb: A Parallel Worst-Case Optimal Join on Multicores’ by Jiacheng Wu and Dan Suciu
- ‘An Adaptive Benchmark for Modeling User Exploration of Large Datasets’, ACM DL by Joanna Purich, Anthony Wise and Leilani Battle
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December 10, 2024:
Two papers from UWDB got accepted in ICDT 2025!
- Worst-Case Optimal Joins Meet Partition Constraints by Kyle Deeds and Timo Camillo Merkle
- Semantic foundations of equality saturation by Dan Suciu, Remy Wang and Yihong Zhang
- View all news
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