54 citations · 160 across the 23 of their papers we have counts for
24 papers
LegendBench: A Diagnostic Benchmark for Legend Understanding with Counterfactual Interventions
Xinnuo Zhang, Zhike Tang, Jing Xu +2
Legends are fundamental to chart understanding, as reliable interpretation requires correctly binding legend entries to corresponding visual marks. While vision-language models (VL…
ProbeScout: Visual Analytics for Attribute-Guided Image Search
Yifan Lv, Yiyun Chen, Daojun Ye +2
Analysts often need to identify images that jointly satisfy multiple visual conditions, such as a crossroads with traffic lights at dusk, for model diagnosis, dataset curation, and…
WidgetVA: A Widget-Centric Framework and Benchmark for Agentic Visual Analytics
Yutong Chen, Zhike Tang, Zhihao Mai +4
Visual analytics (VA) enables sensemaking through interactive visualization, but effective analysis often requires experts to translate high-level intents into long sequences of in…
SkillCommit: Evolving Agent Skills through Behaviorally Validated Scope Expansion
Yu He, Weikai Yang
Large language model (LLM) agents can continually improve without parameter updates by converting historical experience into reusable procedural knowledge. However, existing method…
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…
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…
RefAdGen: High-Fidelity Advertising Image Generation
Yiyun Chen, Weikai Yang
The rapid advancement of Artificial Intelligence Generated Content (AIGC) techniques has unlocked opportunities in generating diverse and compelling advertising images based on ref…
ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts
Siyu Yan, Tiancheng Liu, Weikai Yang +2
Pictorial charts are favored for their memorability and visual appeal, offering a more engaging alternative to basic charts. However, their creation can be complex and time-consumi…
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie, Jiangning Zhu, Guozu Ma +4
Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sa…
RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers
Zhen Li, Weikai Yang, Jun Yuan +6
The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing met…
Dynamic Color Assignment for Hierarchical Data
Jiashu Chen, Weikai Yang, Zelin Jia +2
Assigning discriminable and harmonic colors to samples according to their class labels and spatial distribution can generate attractive visualizations and facilitate data explorati…
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…
Enhancing Single-Frame Supervision for Better Temporal Action Localization
Changjian Chen, Jiashu Chen, Weikai Yang +6
Temporal action localization aims to identify the boundaries and categories of actions in videos, such as scoring a goal in a football match. Single-frame supervision has emerged a…
Interactive Reweighting for Mitigating Label Quality Issues
Weikai Yang, Yukai Guo, Jing Wu +4
Label quality issues, such as noisy labels and imbalanced class distributions, have negative effects on model performance. Automatic reweighting methods identify problematic sample…
Foundation Models Meet Visualizations: Challenges and Opportunities
Weikai Yang, Mengchen Liu, Zheng Wang +1
Recent studies have indicated that foundation models, such as BERT and GPT, excel in adapting to a variety of downstream tasks. This adaptability has established them as the domina…
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Changjian Chen, Yukai Guo, Fengyuan Tian +7
Existing model evaluation tools mainly focus on evaluating classification models, leaving a gap in evaluating more complex models, such as object detection. In this paper, we devel…
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…
A Unified Understanding of Deep NLP Models for Text Classification
Zhen Li, Xiting Wang, Weikai Yang +6
The rapid development of deep natural language processing (NLP) models for text classification has led to an urgent need for a unified understanding of these models proposed indivi…
Diagnosing Ensemble Few-Shot Classifiers
Weikai Yang, Xi Ye, Xingxing Zhang +6
The base learners and labeled samples (shots) in an ensemble few-shot classifier greatly affect the model performance. When the performance is not satisfactory, it is usually diffi…
Interactive Steering of Hierarchical Clustering
Weikai Yang, Xiting Wang, Jie Lu +2
Hierarchical clustering is an important technique to organize big data for exploratory data analysis. However, existing one-size-fits-all hierarchical clustering methods often fail…
A Survey of Visual Analytics Techniques for Machine Learning
Jun Yuan, Changjian Chen, Weikai Yang +3
Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization. To better identify which research topics are promising a…
Diagnosing Concept Drift with Visual Analytics
Weikai Yang, Zhen Li, Mengchen Liu +4
Concept drift is a phenomenon in which the distribution of a data stream changes over time in unforeseen ways, causing prediction models built on historical data to become inaccura…