72 citations · 87 across the 6 of their papers we have counts for
6 papers
Graph Neural Networks for Databases: A Survey
Ziming Li, Youhuan Li, Yuyu Luo +2
Graph neural networks (GNNs) are powerful deep learning models for graph-structured data, demonstrating remarkable success across diverse domains. Recently, the database (DB) commu…
AskChart: Universal Chart Understanding through Textual Enhancement
Xudong Yang, Yifan Wu, Yizhang Zhu +2
Chart understanding tasks such as ChartQA and Chart-to-Text involve automatically extracting and interpreting key information from charts, enabling users to query or convert visual…
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values
Yunfan Zhang, Changlun Li, Yuyu Luo +1
Missing value is a critical issue in data science, significantly impacting the reliability of analyses and predictions. Missing value imputation (MVI) is a longstanding problem bec…
The Dawn of Natural Language to SQL: Are We Fully Ready?
Boyan Li, Yuyu Luo, Chengliang Chai +2
Translating users' natural language questions into SQL queries (i.e., NL2SQL) significantly lowers the barriers to accessing relational databases. The emergence of Large Language M…
Generative AI for Visualization: State of the Art and Future Directions
Yilin Ye, Jianing Hao, Yihan Hou +4
Generative AI (GenAI) has witnessed remarkable progress in recent years and demonstrated impressive performance in various generation tasks in different domains such as computer vi…
nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task
Yuyu Luo, Jiawei Tang, Guoliang Li
NL2VIS - which translates natural language (NL) queries to corresponding visualizations (VIS) - has attracted more and more attention both in commercial visualization vendors and a…