10 papers
TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins
Yuxiang Luo, Haonan Long, Chen Wang +6
Fine-tuning large language models (LLMs) is compute-intensive and error-prone: model performance depends sensitively on data quality and hyperparameter choices, and naïve runs can…
Show Me the Infographic I Imagine: Intent-Aware Infographic Retrieval for Authoring Support
Jing Xu, Jiarui Hu, Zhihao Shuai +2
While infographics have become a powerful medium for communicating data-driven stories, authoring them from scratch remains challenging, especially for novice users. Retrieving rel…
NCP: Neighborhood-Preserving Non-Uniform Circle Packing for Visualization
Duan Li, Jun Yuan, Xinyuan Guo +4
Circle packing is widely used in visualization due to its aesthetic appeal and simplicity, particularly in tasks where the spatial arrangement and relationships between data are of…
Fast Wrong-way Cycling Detection in CCTV Videos: Sparse Sampling is All You Need
Jing Xu, Wentao Shi, Sheng Ren +4
Effective monitoring of unusual transportation behaviors, such as wrong-way cycling (i.e., riding a bicycle or e-bike against designated traffic flow), is crucial for optimizing la…
DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoning
Zhihao Shuai, Boyan Li, Siyu Yan +2
Although data visualization is powerful for revealing patterns and communicating insights, creating effective visualizations requires familiarity with authoring tools and often dis…
Cluster-Aware Grid Layout
Yuxing Zhou, Weikai Yang, Jiashu Chen +5
Grid visualizations are widely used in many applications to visually explain a set of data and their proximity relationships. However, existing layout methods face difficulties whe…