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Peizhi Wu

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.DB2

identity via Semantic Scholar / OpenAlex

most citedA Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

72 citations · 89 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DB2021★ 17 cited

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

Yuxing Han, Ziniu Wu, Peizhi Wu +11

Cardinality estimation (CardEst) plays a significant role in generating high-quality query plans for a query optimizer in DBMS. In the last decade, an increasing number of advanced…

cs.DB2021★ 72 cited

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

Peizhi Wu, Gao Cong

Cardinality estimation is a fundamental problem in database systems. To capture the rich joint data distributions of a relational table, most of the existing work either uses data…

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