ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection. - Ke Xu; Shunan Guo; Nan Cao 001; David Gotz; Aiwen Xu; Huamin Qu; Zhenjie Yao; Yixin Chen 001 (CHI, 2018)

Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis. - Chaoguang Lin; Qiuhan Zhu; Shunan Guo; Zhuochen Jin; Yu-Ru Lin; Nan Cao 001 (Data Min. Knowl. Discov., 2018)

EventThread: Visual Summarization and Stage Analysis of Event Sequence Data. - Shunan Guo; Ke Xu; Rongwen Zhao; David Gotz; Hongyuan Zha; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2018)

Visual Anomaly Detection in Event Sequence Data. - Shunan Guo; Zhuochen Jin; Qing Chen 001; David Gotz; Hongyuan Zha; Nan Cao 001 (IEEE BigData, 2019)

Visualizing Uncertainty and Alternatives in Event Sequence Predictions. - Shunan Guo; Fan Du; Sana Malik; Eunyee Koh; Sungchul Kim; Zhicheng Liu 001; Donghyun Kim 007; Hongyuan Zha; Nan Cao 001 (CHI, 2019)

Visual Progression Analysis of Event Sequence Data. - Shunan Guo; Zhuochen Jin; David Gotz; Fan Du; Hongyuan Zha; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2019)

Interactive Event Sequence Prediction for Marketing Analysts. - Fan Du; Shunan Guo; Sana Malik; Eunyee Koh; Sungchul Kim; Zhicheng Liu 001 (CHI Extended Abstracts, 2020)

CarePre: An Intelligent Clinical Decision Assistance System. - Zhuochen Jin; Shuyuan Cui; Shunan Guo; David Gotz; Jimeng Sun 001; Nan Cao 001 (ACM Trans. Comput. Heal., 2020)

Vinci: An Intelligent Graphic Design System for Generating Advertising Posters. - Shunan Guo; Zhuochen Jin; Fuling Sun; Jingwen Li; Zhaorui Li; Yang Shi 007; Nan Cao 001 (CHI, 2021)

Visual Causality Analysis of Event Sequence Data. - Zhuochen Jin; Shunan Guo; Nan Chen; Daniel Weiskopf; David Gotz; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2021)

Cicero: A Declarative Grammar for Responsive Visualization. - Hyeok Kim; Ryan A. Rossi; Fan Du; Eunyee Koh; Shunan Guo; Jessica Hullman; Jane Hoffswell (CHI, 2022)

Understanding Business Analysts' Needs for Data Report Authoring. - Zhuohao Zhang; Sana Malik; Shunan Guo; Jane Hoffswell; Ryan A. Rossi; Fan Du; Eunyee Koh (EuroVA@EuroVis, 2022)

CODAS: Integrating Business Analytics and Report Authoring. - Zhuohao Zhang; Sana Malik; Shunan Guo; Jane Hoffswell; Ryan A. Rossi; Fan Du; Eunyee Koh (EuroVA@EuroVis, 2022)

Let's Get Personal: Exploring the Design of Personalized Visualizations. - Beleicia Bullock; Shunan Guo; Eunyee Koh; Ryan A. Rossi; Fan Du; Jane Hoffswell (IEEE VIS (Short Papers), 2022)

ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. - Bingjie Xu; Shunan Guo; Eunyee Koh; Jane Hoffswell; Ryan A. Rossi; Fan Du (IEEE VIS (Short Papers), 2022)

VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. - Fayokemi Ojo; Ryan A. Rossi; Jane Hoffswell; Shunan Guo; Fan Du; Sungchul Kim; Chang Xiao; Eunyee Koh (WWW, 2022)

Graph Learning with Localized Neighborhood Fairness. - April Chen; Ryan A. Rossi; Nedim Lipka; Jane Hoffswell; Gromit Chan; Shunan Guo; Eunyee Koh; Sungchul Kim; Nesreen K. Ahmed (CoRR, 2022)

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Chan; Eunyee Koh; Nesreen K. Ahmed (CoRR, 2022)

Survey on Visual Analysis of Event Sequence Data. - Yi Guo; Shunan Guo; Zhuochen Jin; Smiti Kaul; David Gotz; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. - Shunan Guo; Zhuochen Jin; Qing Chen 001; David Gotz; Hongyuan Zha; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2022)

A Design Space for Applying the Freytag's Pyramid Structure to Data Stories. - Leni Yang; Xian Xu; Xingyu Lan; Ziyan Liu; Shunan Guo; Yang Shi 007; Huamin Qu; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2022)

DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. - Arpit Narechania; Surya Chakraborty; Shivam Agarwal; Atanu R. Sinha; Ryan A. Rossi; Fan Du; Jane Hoffswell; Shunan Guo; Eunyee Koh; Alex Endert; Shamkant B. Navathe (IEEE Big Data, 2023)

On Chatbots for Visual Exploratory Data Analysis. - Brodrick Stigall; Ryan A. Rossi; Jane Hoffswell; Xiang Chen; Shunan Guo; Fan Du; Eunyee Koh; Kelly Caine (IEEE Big Data, 2023)

Detecting Email Components with Constraints: Expressive and Extensible Models in Answer Set Programming. - Gromit Yeuk-Yin Chan; Shunan Guo; Caroline Kim; Cole Connelly; Michelle Lee; Andrew Thomson; Eunyee Koh (CHI Extended Abstracts, 2023)

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. - Arpit Narechania; Fan Du; Atanu R. Sinha; Ryan A. Rossi; Jane Hoffswell; Shunan Guo; Eunyee Koh; Shamkant B. Navathe; Alex Endert (CHI, 2023)

De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. - Xinyu Shi; Ziqi Zhou; Jing Wen Zhang; Ali Neshati; Anjul Kumar Tyagi; Ryan A. Rossi; Shunan Guo; Fan Du; Jian Zhao 010 (CHI, 2023)

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. - Sudhanshu Chanpuriya; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Jane Hoffswell; Nedim Lipka; Shunan Guo; Cameron Musco (ICLR, 2023)

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. - Chen Chen 080; Jane Hoffswell; Shunan Guo; Ryan A. Rossi; Yeuk-Yin Chan; Fan Du; Eunyee Koh; Zhicheng Liu 001 (VL/HCC, 2023)

A ML-based Approach for HTML-based Style Recommendation. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Yeuk-Yin Chan; Eunyee Koh; Nesreen K. Ahmed (WWW (Companion Volume), 2023)

Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. - Abhraneel Sarma; Shunan Guo; Jane Hoffswell; Ryan A. Rossi; Fan Du; Eunyee Koh; Matthew Kay 001 (IEEE Trans. Vis. Comput. Graph., 2023)

RaDA: Retrieval-augmented Web Agent Planning with LLMs. - Minsoo Kim; Victor S. Bursztyn; Eunyee Koh; Shunan Guo; Seung-won Hwang (ACL (Findings), 2024)

"The Data Says Otherwise" - Towards Automated Fact-checking and Communication of Data Claims. - Yu Fu; Shunan Guo; Jane Hoffswell; Victor S. Bursztyn; Ryan A. Rossi; John T. Stasko (UIST, 2024)

Data Pictorial: Deconstructing Raster Images for Data-Aware Animated Vector Posters. - Tongyu Zhou; Gromit Yeuk-Yin Chan; Shunan Guo; Jane Hoffswell; Chang Xiao; Victor S. Bursztyn; Eunyee Koh (UIST (Adjunct Volume), 2024)

CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive Environments. - Qian Zhu 010; Tao Lu; Shunan Guo; Xiaojuan Ma; Yalong Yang 001 (CoRR, 2024)

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Franck Dernoncourt; Tong Yu 001; Xiang Chen; Subrata Mitra; Nedim Lipka (CoRR, 2024)

Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback. - Guande Wu; Shunan Guo; Jane Hoffswell; Gromit Yeuk-Yin Chan; Ryan A. Rossi; Eunyee Koh (IEEE Trans. Vis. Comput. Graph., 2024)