activity
20092023
most citedA Case for A Collaborative Query Management System

64 citations · 160 across the 24 of their papers we have counts for

collaborators

26 papers

cs.DB2023

MaskSearch: Querying Image Masks at Scale

Dong He, Jieyu Zhang, Maureen Daum +2

Machine learning tasks over image databases often generate masks that annotate image content (e.g., saliency maps, segmentation maps, depth maps) and enable a variety of applicatio…

cs.DB2023

VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]

Maureen Daum, Enhao Zhang, Dong He +4

We introduce VOCALExplore, a system designed to support users in building domain-specific models over video datasets. VOCALExplore supports interactive labeling sessions and trains…

cs.DB2023

EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]

Enhao Zhang, Maureen Daum, Dong He +3

We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over videos from limited user interactions. The user only provides a handful of positive and negative e…

cs.DB2022★ 1 cited

SafeBound: A Practical System for Generating Cardinality Bounds

Kyle Deeds, Dan Suciu, Magda Balazinska

Recent work has reemphasized the importance of cardinality estimates for query optimization. While new techniques have continuously improved in accuracy over time, they still gener…

cs.DB2022

Degree Sequence Bound For Join Cardinality Estimation

Kyle Deeds, Dan Suciu, Magda Balazinska +1

Recent work has demonstrated the catastrophic effects of poor cardinality estimates on query processing time. In particular, underestimating query cardinality can result in overly…

cs.DB2021★ 2 cited

DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation

Dong He, Maureen Daum, Walter Cai +1

We design, implement, and evaluate DeepEverest, a system for the efficient execution of interpretation by example queries over the activation values of a deep neural network. DeepE…