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researcher

Dan Suciu

University of Washington

67 papers hereh-index 8527.7k citations465 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author8
  • last author55

Across the 65 of 67 papers where every author was matched, so the position is known.

fields
  • cs.DB57
  • cs.AI4
  • cs.LG2
  • cs.CR1
  • cs.DS1
  • cs.IT1
affiliations
  • University of Washington
Homepage
same name
  • Dan Suciu — 11 papers, h 5
  • Dan Suciu — 7 papers, h 4
  • Dan Suciu — 3 papers, h 3
  • Dan Suciu — 2 papers, h 6
  • Dan Suciu — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062023
most citedA Case for A Collaborative Query Management System

64 citations · 545 across the 60 of their papers we have counts for

collaborators
Showing 2022 · cs.DBShow all

4 papers · 2 filters

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

Optimizing Tensor Programs on Flexible Storage

Maximilian Schleich, Amir Shaikhha, Dan Suciu

Tensor programs often need to process large tensors (vectors, matrices, or higher order tensors) that require a specialized storage format for their memory layout. Several such lay…

cs.DB2022

Optimizing Recursive Queries with Program Synthesis

Yisu Remy Wang, Mahmoud Abo Khamis, Hung Q. Ngo +2

Most work on query optimization has concentrated on loop-free queries. However, data science and machine learning workloads today typically involve recursive or iterative computati…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.