activity
20232026
most citedLEVA: Using Large Language Models to Enhance Visual Analytics

60 citations · 97 across the 10 of their papers we have counts for

collaborators

10 papers

cs.MA2026

Insurance as AI Risk Infrastructure: A Generative-Agent Simulation of AI Adoption

Yixuan Yuan, Dedai Wei, Chudong Qian +6

The rapid evolution of artificial intelligence (AI) tools has demonstrated immense potential to enhance societal well-being and operational efficiency. However, the inherent unreli…

cs.HC2026

Intelligent Drill-Down: Large Language Model-Driven Drill-Down Technique for Human-AI Collaborative Visual Exploration

Zhijun Zheng, Tian Qiu, Yuheng Zhao +1

In visual analytics, applying filters to drill-down and extract higher-value insights is a common and important data analysis method. When the drill-down space becomes excessively…

cs.HC2026

InfoAlign: A Human-AI Co-Creation System for Storytelling with Infographics

Jielin Feng, Xinwu Ye, Qianhui Li +5

Storytelling infographics are a powerful medium for communicating data-driven stories through visual presentation. However, existing authoring tools lack support for maintaining st…

cs.HC2025

SceneLoom: Communicating Data with Scene Context

Lin Gao, Leixian Shen, Yuheng Zhao +3

In data-driven storytelling contexts such as data journalism and data videos, data visualizations are often presented alongside real-world imagery to support narrative context. How…

cs.HC2025★ 2 cited

KinemaFX: A Kinematic-Driven Interactive System for Particle Effect Exploration and Customization

Yifei Zhang, Lin-Ping Yuan, Yuheng Zhao +2

Particle effects are widely used in games and animation to simulate natural phenomena or stylized visual effects. However, creating effect artworks is challenging for non-expert us…

cs.HC2025

ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agent

Yuheng Zhao, Xueli Shu, Liwen Fan +3

Visual analytics (VA) is typically applied to complex data, thus requiring complex tools. While visual analytics empowers analysts in data analysis, analysts may get lost in the co…

cs.CV2025

PCLVis: Visual Analytics of Process Communication Latency in Large-Scale Simulation

Chongke Bi, Xin Gao, Baofeng Fu +4

Large-scale simulations on supercomputers have become important tools for users. However, their scalability remains a problem due to the huge communication cost among parallel proc…

cs.HC2024★ 31 cited

LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution

Yuheng Zhao, Junjie Wang, Linbin Xiang +5

Visual analytics (VA) requires analysts to iteratively propose analysis tasks based on observations and execute tasks by creating visualizations and interactive exploration to gain…

cs.HC2024★ 60 cited

LEVA: Using Large Language Models to Enhance Visual Analytics

Yuheng Zhao, Yixing Zhang, Yu Zhang +5

Visual analytics supports data analysis tasks within complex domain problems. However, due to the richness of data types, visual designs, and interaction designs, users need to rec…

cs.HC2023★ 4 cited

OldVisOnline: Curating a Dataset of Historical Visualizations

Yu Zhang, Ruike Jiang, Liwenhan Xie +5

With the increasing adoption of digitization, more and more historical visualizations created hundreds of years ago are accessible in digital libraries online. It provides a unique…