60 citations · 94 across the 8 of their papers we have counts for
8 papers
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…
Viewpoint Recommendation for Point Cloud Labeling through Interaction Cost Modeling
Yu Zhang, Xinyi Zhao, Chongke Bi +1
Semantic segmentation of 3D point clouds is important for many applications, such as autonomous driving. To train semantic segmentation models, labeled point cloud segmentation dat…
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…
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…
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…
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…
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…
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…