activity
20242026
collaborators

8 papers

cs.DB2026

Towards Reliable Agentic Progressive Text-to-Visualization with Verification Rules

Wenxin Xu, Chen Jason Zhang, Xiaoyong Wei +4

Text-to-Visualization (Text-to-Vis) translates natural language queries into visualization query languages, enabling non-expert users to perform data analysis. However, most existi…

cs.CR2026

VisPoison: An Effective Backdoor Attack Framework for Tabular Data Visualization Models

Shuaimin Li, Chen Jason Zhang, Xuanang Chen +7

Text-to-visualization (text-to-vis) models for tabular data have become essential tools in the era of big data, enabling users to generate visualizations and make data-driven decis…

cs.DB2026

Monte Carlo Tree Search with Reasoning Path Refinement for Small Language Models in Conversational Text-to-NoSQL

Xubang Xiong, Raymond Chi-Wing Wong, Yuanfeng Song

NoSQL databases have been widely adopted in big data analytics, geospatial applications, and healthcare services, due to their flexibility and scalability. However, querying NoSQL…

cs.CL2026

MultiVis-Agent: A Multi-Agent Framework with Logic Rules for Reliable and Comprehensive Cross-Modal Data Visualization

Jinwei Lu, Yuanfeng Song, Chen Zhang +1

Real-world visualization tasks involve complex, multi-modal requirements that extend beyond simple text-to-chart generation, requiring reference images, code examples, and iterativ…

cs.CL2025

OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models

Zhuoyue Wan, Wentao Hu, Chen Jason Zhang +5

Bridging natural language and structured query languages is a long-standing challenge in the database community. While recent advances in language models have shown promise in this…

cs.CL2024

DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization

Zhuoyue Wan, Yuanfeng Song, Shuaimin Li +2

Data visualization (DV) is the fundamental and premise tool to improve the efficiency in conveying the insights behind the big data, which has been widely accepted in existing data…