News

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.
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.
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.
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.
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!
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.
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
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
November 27, 2024:
Magda just received the Test-of-Time award at CIDR for her wonderful work on Borealis data stream processing system.
May 27, 2024:
‘Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows’ by Lindsey Linxi Wei, Chung Yik Edward Yeung, Hongjian Yu, Jingchuan Zhou, Dong He, Magdalena Balazinska has been accepted at VLDB 2024.
April 20, 2024:
Remy Wang received a runner up award for the 2024 Jim Gray SIGMOD Dissertation Award. Congratulations Remy!
April 18, 2024:
Remy Wang published a research highlight paper called ‘From Binary Join to Free Join’ in SIGMOD Record. There is a nice technical perspective by Thomas Neumann.
April 4, 2024:
Nicole Sullivan received a fellowship from the National Science Foundation Graduate Research Fellowship Program (NSF GRFP).
November 21, 2023:
‘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.
August 18, 2023:
‘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.
June 16, 2023:
‘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.
January 27, 2023:
‘Free Join: Unifying Worst-Case Optimal and Traditional Joins’ by Remy Wang, Max Willsey, and Dan Suciu to appear at SIGMOD 2023.
November 25, 2022:
‘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.
November 15, 2022:
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.
November 15, 2022:
‘Optimizing Tensor Programs on Flexible Storage’ by Maximilian Schleich, Amir Shaikhha, and Dan Suciu to appear at SIGMOD 2023.
September 15, 2022:
‘Understanding Programmatic Weak Supervision via Source-aware Influence Function’ has been accepted at NeurIPS 2022. Congrats Jieyu Zhang, Cheng-Yu Hsieh, and Alex Ratner!
September 6, 2022:
‘Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem’ received the VLDB 2022 Best Demo Award. Congrats to the authors: Yuki Asada^*, Victor Fu^*, Apurva Gandhi^*, Advitya Gemawat^*, Lihao Zhang^*, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, and Matteo Interlandi!
August 16, 2022:
‘Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming’ has been accepted at VLDB 2023. Congrats Cheng-Yu Hsieh, Jieyu Zhang, and Alex Ratner!
June 30, 2022:
‘Query Processing on Tensor Computation Runtimes’ has been accepted at VLDB 2022. Congrats to the authors: Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, and Matteo Interlandi!
April 11, 2022:
Dan Suciu receives the 2022 SIGMOD Edgar F. Codd Innovations Award for lasting contributions to the foundations of novel data management trends.
April 8, 2022:
Leilani Battle is awarded the 2022 IEEE TCDE Rising Star Award for contributions to interactive data-intensive systems for exploratory data analysis.
March 24, 2022:
‘Convergence of Datalog over (Pre-) Semirings’ received a PODS 2022 best paper award. Congrats to the authors: Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, and Remy Wang!
January 20, 2022:
‘Creating Training Sets via Weak Indirect Supervision’ has been accepted at ICLR 2022. Congrats Jieyu Zhang and Alex Ratner!
October 22, 2021:
‘VOCAL: Video Organization and Interactive Compositional AnaLytics (Vision Paper)’ has been accepted at CIDR 2022. Congrats Maureen Daum^*, Enhao Zhang^*, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna, Apryle Craig, Aaron Wirsing! ^*Both authors contributed equally to the paper.
October 10, 2021:
‘WRENCH: A Comprehensive Benchmark for Weak Supervision’ has been accepted at NeurIPS 2021 Dataset & Benchmark Track. Congrats Jieyu Zhang and Alex Ratner!
August 15, 2021:
‘DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation’ has been accepted at VLDB 2022. Congrats Dong He, Maureen Daum, Walter Cai, Magdalena Balazinska!
March 24, 2021:
‘VSS: A Storage System for Video Analytics’ has been accepted to SIGMOD 2021. Congrats Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze!
March 15, 2021:
‘GeCo: Quality Counterfactual Explanations in Real Time’ has been accepted at VLDB 2021. Congrats Maximilian Schleich, Zixuan Geng, Yihong Zhang, and Dan Suciu!
February 12, 2021:
‘TASM: A Tile-Based Storage Manager for Video Analytics’ has been accepted to ICDE 2021. Congrats Maureen Daum, Brandon Haynes, Dong He, Amrita Mazumdar, Magdalena Balazinska!
February 4, 2021:
On the Tractability of SHAP explanations has been accepted to AAAI 2021, winning a Distinguished Paper award! Congrats to the authors: Guy Van den Broeck (UCLA), Anton Lykov, Maximilian Schleich, and Dan Suciu.
May 19, 2019:
‘Visual Road: A Video Data Management Benchmark’ has been accepted at SIGMOD 2019. Congrats Brandon Haynes, Amrita Mazumdar, Magdalena Balazinska, Luis Ceze, Alvin Cheung!
May 18, 2018:
‘LightDB: A DBMS for Virtual Reality’ has been accepted at VLDB 2018. Congrats Brandon Haynes, Amrita Mazumdar, Armin Alaghi, Magdalena Balazinska, Luis Ceze, Alvin Cheung!
April 18, 2018:
Two of Jennifer Ortiz’s papers got accepted!
- ‘SLAOrchestrator - Reducing the Cost of Performance SLAs in the Cloud’ at USENIX ATC 2018
- ‘Learning State Representations for Query Optimization with Deep Reinforcement Learning’ at the DEEM Workshop, SIGMOD 2018
April 12, 2018:
Laurel Orr received a honorable mention for the NCWIT Collegiate Award. Congrats Laurel!
March 5, 2018:
Four papers from UWDB got accepted into SIGMOD 2018!
- ‘HypDB: Detect, Explain And Resolve Bias in OLAP’, Babak Salimi and Dan Suciu
- ‘Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications’, Maaz Ahmad and Alvin Cheung
- ‘Synthesizing Type-Detection Logic for Rich Semantic Data Types Using Open-source Code’, Cong Yan
- ‘FASTER: A Concurrent Key-Value Store with In-Place Updates’, Guna Prasaad
July 19, 2017:
Our automated solver for SQL, Cosette, has been released!
June 8, 2017:
Congratulations to all of our SIGMOD winners!
May 19, 2017:
Watch Dylan Hutchison’s recorded talk from the SIGMOD BeyondMR workshop on LaraDB: A Minimalist Kernel for Linear and Relational Algbera
May 18, 2017:
Several SIGMOD 2017 Demonstation Awards! Shumo Chu, Daniel Li, and Chenglong Wang won the Best Demonstration Award for Demonstration of the Cosette Automated SQL Prover; Maaz Ahmad earned a Demonstration Award Honorable Mention for Optimizing Data-Intensive Applications Automatically By Leveraging Parallel Data Processing Frameworks; Brandon Haynes and Artem Minyaylov earned a Demonstration Award Honorable Mention for VisualCloud Demonstration: A DBMS for Virtual Reality.
May 17, 2017:
Jennifer Ortiz won second place at the SIGMOD Student Reseach Competition.
May 16, 2017:
Parmita Mehta, Tomer Kaftan, and many co-authors had their paper Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads accepted into VLDB.
April 21, 2017:
Jingjing Wang’s paper on Elastic Memory Management for Cloud Data Analytics is accepted to USENIX 2017
April 19, 2017:
Alvin Cheung is among six UW CSE faculty who won NSF CAREER awards
April 17, 2017:
Laurel Orr’s paper on Probabilistic Database Summarization for Interactive Data Exploration is accepted to VLDB 2017
April 9, 2017:
Magdalena Balazinska received the ACM SIGMOD Test of Time Award for the paper Fault-Tolerance in the Borealis Distributed Stream Processing System
April 7, 2017:
Shrainik Jain’s paper SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment has been awarded as one of the most reproducible across several criteria from SIGMOD 2016

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