activity
20192026
most citedVisual Causality Analysis of Event Sequence Data

48 citations · 134 across the 16 of their papers we have counts for

collaborators

17 papers

cs.HC2026

Surprise2Refine: Axis-Centered Exploration-To-Refinement for Agent-Assisted Creative Scaffolding

Yuzhe You, Gromit Yeuk-Yin Chan, Shunan Guo +4

Designers require different design spaces across creative stages: broad during exploration, and targeted during refinement. Yet existing agent-driven tools assume a fixed or contin…

cs.HC2025★ 6 cited

OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models

Adam Coscia, Shunan Guo, Eunyee Koh +1

As multi-turn dialogues with large language models (LLMs) grow longer and more complex, how can users better evaluate and review progress on their conversational goals? We present…

cs.HC2025

LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking

Haoyang Yang, Elliott H. Faa, Weijian Liu +3

Exploring and comprehending relevant academic literature is a vital yet challenging task for researchers, especially given the rapid expansion in research publications. This task f…

cs.HC2025

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens

Arpit Narechania, Shunan Guo, Eunyee Koh +2

Analytic provenance can be visually encoded to help users track their ongoing analysis trajectories, recall past interactions, and inform new analytic directions. Despite its signi…

cs.HC2025★ 1 cited

Representing Visualization Insights as a Dense Insight Network

Jane Hoffswell, Victor Soares Bursztyn, Shunan Guo +2

We propose a dense insight network framework to encode the relationships between automatically generated insights from a complex dashboard based on their shared characteristics. Ou…

cs.HC2024★ 6 cited

"The Data Says Otherwise"-Towards Automated Fact-checking and Communication of Data Claims

Yu Fu, Shunan Guo, Jane Hoffswell +3

Fact-checking data claims requires data evidence retrieval and analysis, which can become tedious and intractable when done manually. This work presents Aletheia, an automated fact…

cs.HC2024

CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive Environments

Qian Zhu, Tao Lu, Shunan Guo +2

Composite visualization represents a widely embraced design that combines multiple visual representations to create an integrated view. However, the traditional approach of creatin…

cs.HC2023

WHATSNEXT: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks

Chen Chen, Jane Hoffswell, Shunan Guo +5

Computational notebooks such as Jupyter are popular for exploratory data analysis and insight finding. Despite the module-based structure, notebooks visually appear as a single thr…

cs.HC2023★ 13 cited

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…

cs.LG2022★ 4 cited

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings

Ryan Aponte, Ryan A. Rossi, Shunan Guo +6

In this work, we introduce a hypergraph representation learning framework called Hypergraph Neural Networks (HNN) that jointly learns hyperedge embeddings along with a set of hyper…

cs.SI2022★ 1 cited

Graph Learning with Localized Neighborhood Fairness

April Chen, Ryan Rossi, Nedim Lipka +6

Learning fair graph representations for downstream applications is becoming increasingly important, but existing work has mostly focused on improving fairness at the global level b…

cs.LG2022★ 1 cited

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs

Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim +5

Temporal networks model a variety of important phenomena involving timed interactions between entities. Existing methods for machine learning on temporal networks generally exhibit…

cs.HC2022

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…

cs.HC2022★ 24 cited

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…

cs.AI2020★ 48 cited

Visual Causality Analysis of Event Sequence Data

Zhuochen Jin, Shunan Guo, Nan Chen +3

Causality is crucial to understanding the mechanisms behind complex systems and making decisions that lead to intended outcomes. Event sequence data is widely collected from many r…

cs.HC2020★ 7 cited

Survey on Visual Analysis of Event Sequence Data

Yi Guo, Shunan Guo, Zhuochen Jin +3

Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of applications ranging from electronic health records…

cs.HC2019★ 23 cited

Visual Anomaly Detection in Event Sequence Data

Shunan Guo, Zhuochen Jin, Qing Chen +3

Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the majority of a dataset. When applied to the analys…