84 citations · 416 across the 27 of their papers we have counts for
13 papers · 1 filter
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…
TimePool: Visually Answer "Which and When" Questions On Univariate Time Series
Tinghao Feng, Yueqi Hu, Jing Yang +4
When exploring time series datasets, analysts often pose "which and when" questions. For example, with world life expectancy data over one hundred years, they may inquire about the…
Concept-Based Visual Analysis of Dynamic Textual Data
Xiang Shouxing, Ouyang Fangxin, Liu Shixia
Analyzing how interrelated ideas flow within and between multiple social groups helps understand the propagation of information, ideas, and thoughts on social media. The existing d…
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles
Jun Yuan, Mengchen Liu, Fengyuan Tian +1
Recent advances in artificial intelligence largely benefit from better neural network architectures. These architectures are a product of a costly process of trial-and-error. To ea…
In Defence of Visual Analytics Systems: Replies to Critics
Aoyu Wu, Dazhen Deng, Furui Cheng +3
The last decade has witnessed many visual analytics (VA) systems that make successful applications to wide-ranging domains like urban analytics and explainable AI. However, their r…
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Jiazhi Xia, Yuchen Zhang, Jie Song +3
Dimensionality Reduction (DR) techniques can generate 2D projections and enable visual exploration of cluster structures of high-dimensional datasets. However, different DR techniq…
Real-Time Visual Analysis of High-Volume Social Media Posts
Johannes Knittel, Steffen Koch, Tan Tang +4
Breaking news and first-hand reports often trend on social media platforms before traditional news outlets cover them. The real-time analysis of posts on such platforms can reveal…
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…
Visual Analysis of Discrimination in Machine Learning
Qianwen Wang, Zhenhua Xu, Zhutian Chen +3
The growing use of automated decision-making in critical applications, such as crime prediction and college admission, has raised questions about fairness in machine learning. How…
Evaluation of Sampling Methods for Scatterplots
Jun Yuan, Shouxing Xiang, Jiazhi Xia +2
Given a scatterplot with tens of thousands of points or even more, a natural question is which sampling method should be used to create a small but "good" scatterplot for a better…
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
Changjian Chen, Jun Yuan, Yafeng Lu +4
One major cause of performance degradation in predictive models is that the test samples are not well covered by the training data. Such not well-represented samples are called OoD…
Analyzing the Noise Robustness of Deep Neural Networks
Kelei Cao, Mengchen Liu, Hang Su +3
Adversarial examples, generated by adding small but intentionally imperceptible perturbations to normal examples, can mislead deep neural networks (DNNs) to make incorrect predicti…
Visual Analytics for Explainable Deep Learning
Jaegul Choo, Shixia Liu
Recently, deep learning has been advancing the state of the art in artificial intelligence to a new level, and humans rely on artificial intelligence techniques more than ever. How…