‘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!
‘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!
‘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!
‘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!
‘Creating Training Sets via Weak Indirect Supervision’ has been accepted at ICLR 2022. Congrats Jieyu Zhang and Alex Ratner!
‘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.
‘WRENCH: A Comprehensive Benchmark for Weak Supervision’ has been accepted at NeurIPS 2021 Dataset & Benchmark Track. Congrats Jieyu Zhang and Alex Ratner!
‘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!
‘GeCo: Quality Counterfactual Explanations in Real Time’ has been accepted at VLDB 2021. Congrats Maximilian Schleich, Zixuan Geng, Yihong Zhang, and Dan Suciu!
‘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!
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.
‘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!
Two of Jennifer Ortiz’s papers got accepted!
Four papers from UWDB got accepted into SIGMOD 2018!
Our automated solver for SQL, Cosette, has been released!
Congratulations to all of our SIGMOD winners!
Watch Dylan Hutchison’s recorded talk from the SIGMOD BeyondMR workshop on LaraDB: A Minimalist Kernel for Linear and Relational Algbera
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.
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.
Jingjing Wang’s paper on Elastic Memory Management for Cloud Data Analytics is accepted to USENIX 2017
Laurel Orr’s paper on Probabilistic Database Summarization for Interactive Data Exploration is accepted to VLDB 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