39 citations · 140 across the 17 of their papers we have counts for
17 papers
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation
Arpit Narechania, Fan Du, Atanu R Sinha +6
Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) qual…
PersonaSAGE: A Multi-Persona Graph Neural Network
Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh +2
Graph Neural Networks (GNNs) have become increasingly important in recent years due to their state-of-the-art performance on many important downstream applications. Existing GNNs h…
Bundle MCR: Towards Conversational Bundle Recommendation
Zhankui He, Handong Zhao, Tong Yu +3
Bundle recommender systems recommend sets of items (e.g., pants, shirt, and shoes) to users, but they often suffer from two issues: significant interaction sparsity and a large out…
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization
Bingjie Xu, Shunan Guo, Eunyee Koh +3
Online shopping gives customers boundless options to choose from, backed by extensive product details and customer reviews, all from the comfort of home; yet, no amount of detailed…
CGC: Contrastive Graph Clustering for Community Detection and Tracking
Namyong Park, Ryan Rossi, Eunyee Koh +5
Given entities and their interactions in the web data, which may have occurred at different time, how can we find communities of entities and track their evolution? In this paper,…
Cicero: A Declarative Grammar for Responsive Visualization
Hyeok Kim, Ryan Rossi, Fan Du +4
Designing responsive visualizations can be cast as applying transformations to a source view to render it suitable for a different screen size. However, designing responsive visual…
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
Furui Cheng, Dongyu Liu, Fan Du +5
Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks. Although many ML models perform promisingly, issues with model…
An Evaluation-Focused Framework for Visualization Recommendation Algorithms
Zehua Zeng, Phoebe Moh, Fan Du +5
Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which a…
Insight-centric Visualization Recommendation
Camille Harris, Ryan A. Rossi, Sana Malik +5
Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating v…
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…
Personalized Visualization Recommendation
Xin Qian, Ryan A. Rossi, Fan Du +5
Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset and not the actual user and their past visualization feedback. These…
InfoColorizer: Interactive Recommendation of Color Palettes for Infographics
Lin-Ping Yuan, Ziqi Zhou, Jian Zhao +3
When designing infographics, general users usually struggle with getting desired color palettes using existing infographic authoring tools, which sometimes sacrifice customizabilit…
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
Xin Qian, Ryan A. Rossi, Fan Du +5
Visualization recommendation seeks to generate, score, and recommend to users useful visualizations automatically, and are fundamentally important for exploring and gaining insight…
A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications
Xiao Xie, Fan Du, Yingcai Wu
Using causal relations to guide decision making has become an essential analytical task across various domains, from marketing and medicine to education and social science. While p…
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Po-Ming Law, Sana Malik, Fan Du +1
While decision makers have begun to employ machine learning, machine learning models may make predictions that bias against certain demographic groups. Semi-automated bias detectio…
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
Po-Ming Law, Sana Malik, Fan Du +1
Machine learning models often make predictions that bias against certain subgroups of input data. When undetected, machine learning biases can constitute significant financial and…
MetroViz: Visual Analysis of Public Transportation Data
Fan Du, Joshua Brulé, Peter Enns +2
Understanding the quality and usage of public transportation resources is important for schedule optimization and resource allocation. Ridership and adherence are the two main dime…