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Weiyuan Wu

5 papers hereh-index 7306 citations15 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedAre We Ready For Learned Cardinality Estimation?

99 citations · 166 across the 5 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2021★ 29 cited

DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python

Jinglin Peng, Weiyuan Wu, Brandon Lockhart +6

Exploratory Data Analysis (EDA) is a crucial step in any data science project. However, existing Python libraries fall short in supporting data scientists to complete common EDA ta…

cs.DB2021

Explaining Inference Queries with Bayesian Optimization

Brandon Lockhart, Jinglin Peng, Weiyuan Wu +2

Obtaining an explanation for an SQL query result can enrich the analysis experience, reveal data errors, and provide deeper insight into the data. Inference query explanation seeks…

cs.DB2020★ 99 cited

Are We Ready For Learned Cardinality Estimation?

Xiaoying Wang, Changbo Qu, Weiyuan Wu +2

Cardinality estimation is a fundamental but long unresolved problem in query optimization. Recently, multiple papers from different research groups consistently report that learned…

cs.DB2020★ 36 cited

Complaint-driven Training Data Debugging for Query 2.0

Weiyuan Wu, Lampros Flokas, Eugene Wu +1

As the need for machine learning (ML) increases rapidly across all industry sectors, there is a significant interest among commercial database providers to support "Query 2.0", whi…

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