Weiyuan Wu

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Statistical Modeling

Exploratory Data Analysis

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Weiyuan Wu, Pei Wang, Yi Xie, Yejia Liu, George Chow, Jiannan Wang
Web Connector: A Unified API Wrapper to Simplify Web Data Collection. Proc. VLDB Endow. 16 (12) (2023)
Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu
Complaint-Driven Training Data Debugging at Interactive Speeds. SIGMOD Conference (2022)
Lampros Flokas, Weiyuan Wu, Jiannan Wang, Nakul Verma, Eugene Wu
How I stopped worrying about training data bugs and started complaining. DEEM@SIGMOD (2022)
Jinglin Peng, Weiyuan Wu, Jing Nathan Yan, Danrui Qi, Jeffrey M. Rzeszotarski, Jiannan Wang
User Interfaces for Exploratory Data Analysis: A Survey of Open-Source and Commercial Tools. IEEE Data Eng. Bull. 45 (3) (2022)
Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou
ConnectorX: Accelerating Data Loading From Databases to Dataframes. Proc. VLDB Endow. 15 (11) (2022)
Brandon Lockhart, Jinglin Peng, Weiyuan Wu, Jiannan Wang, Eugene Wu
Explaining Inference Queries with Bayesian Optimization. CoRR (2021)
Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. SIGMOD Conference (2021)
Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu
Enabling SQL-based Training Data Debugging for Federated Learning. Proc. VLDB Endow. 15 (3) (2021)
Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. CoRR (2021)
Xiaoying Wang, Changbo Qu, Weiyuan Wu, Jiannan Wang, Qingqing Zhou
Are We Ready For Learned Cardinality Estimation? Proc. VLDB Endow. 14 (9) (2021)
Brandon Lockhart, Jinglin Peng, Weiyuan Wu, Jiannan Wang, Eugene Wu
Explaining Inference Queries with Bayesian Optimization. Proc. VLDB Endow. 14 (11) (2021)
Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu
Enabling SQL-based Training Data Debugging for Federated Learning. CoRR (2021)
Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang
Complaint-driven Training Data Debugging for Query 2.0. SIGMOD Conference (2020)
Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang
Complaint-driven Training Data Debugging for Query 2.0. CoRR (2020)
Xiaoying Wang, Changbo Qu, Weiyuan Wu, Jiannan Wang, Qingqing Zhou
Are We Ready For Learned Cardinality Estimation? CoRR (2020)
XinGuang Li, Shuai Chen, Zhichao Zhou, XiaoLan Long, Zeming Chen, Weiyuan Wu
A method of English-Chinese language recognition and its application in oral English learning system. EITCE (2020)