66 citations · 138 across the 9 of their papers we have counts for
11 papers · 1 filter
The Case for Text-to-SQL Friendly Logical Database Design
Shi Heng Zhang, Zhengjie Miao, Jiannan Wang
Logical database design has traditionally optimized database schemas, including tables, columns, keys, constraints, and views, for correctness, integrity, and human-written applica…
PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?
Jingzhe Xu, Rui Wang, Jiannan Wang +1
Data preparation is a central and time-consuming stage in data analysis workflows. Traditionally, commercial tools have relied on graphical user interfaces (GUIs) to simplify data…
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…
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…
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…
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…