9 citations · 14 across the 9 of their papers we have counts for
9 papers
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
Hsiao-Ying Lu, Yiran Li, Ujwal Pratap Krishna Kaluvakolanu Thyagarajan +1
Graph Neural Networks (GNNs) achieve outstanding performance across graph-based tasks but remain difficult to interpret. In this paper, we revisit foundational assumptions underlyi…
A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes
Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma
Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment. Surrounding each patient's treatment, communication among HCPs can be examined…
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning
Yiran Li, Junpeng Wang, Prince Aboagye +5
Recent advancements in pre-trained large-scale language-image models have ushered in a new era of visual comprehension, offering a significant leap forward. These breakthroughs hav…
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt
Yiran Li, Junpeng Wang, Xin Dai +5
Vision transformer (ViT) expands the success of transformer models from sequential data to images. The model decomposes an image into many smaller patches and arranges them into a…
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks
Yiran Li, Junpeng Wang, Takanori Fujiwara +1
Adversarial attacks on a convolutional neural network (CNN) -- injecting human-imperceptible perturbations into an input image -- could fool a high-performance CNN into making inco…
A Visual Analytics System for Water Distribution System Optimization
Yiran Li, Erin Musabandesu, Takanori Fujiwara +2
The optimization of water distribution systems (WDSs) is vital to minimize energy costs required for their operations. A principal approach taken by researchers is identifying an o…
ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives
Jian Zhao, Shenyu Xu, Senthil Chandrasegaran +6
Visual data storytelling is gaining importance as a means of presenting data-driven information or analysis results, especially to the general public. This has resulted in design p…
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
Yiran Li, Takanori Fujiwara, Yong K. Choi +2
There is a growing trend of applying machine learning methods to medical datasets in order to predict patients' future status. Although some of these methods achieve high performan…
Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding
Rongchen Guo, Takanori Fujiwara, Yiran Li +4
Machine learning for data-driven diagnosis has been actively studied in medicine to provide better healthcare. Supporting analysis of a patient cohort similar to a patient under tr…