Generative semantic clustering in spatial hypertext. - Andruid Kerne; Eunyee Koh; Vikram Sundaram; J. Michael Mistrot (ACM Symposium on Document Engineering, 2005)

"I Keep Collecting": College Students Build and Utilize Collections in Spite of Breakdowns. - Eunyee Koh; Andruid Kerne (ECDL, 2006)

combinFormation: a mixed-initiative system for representing collections as compositions of image and text surrogates. - Andruid Kerne; Eunyee Koh; Blake Dworaczyk; J. Michael Mistrot; Hyun Choi; Steven M. Smith; Ross Graeber; Daniel Caruso; Andrew M. Webb; Rodney Hill; Joel Albea (JCDL, 2006)

Choreographic buttons: promoting social interaction through human movement and clear affordances. - Andrew M. Webb; Andruid Kerne; Eunyee Koh; Pranesh Joshi; YoungJoo Park; Ross Graeber (ACM Multimedia, 2006)

Promoting emergence in information discovery by representing collections with composition. - Andruid Kerne; Eunyee Koh; Steven Smith; Hyun Choi; Ross Graeber; Andrew M. Webb (Creativity & Cognition, 2007)

Elimination of junk document surrogate candidates through pattern recognition. - Eunyee Koh; Daniel Caruso; Andruid Kerne; Ricardo Gutierrez-Osuna (ACM Symposium on Document Engineering, 2007)

Creativity support: the mixed-initiative composition space. - Andruid Kerne; Eunyee Koh (JCDL, 2007)

Generating views of the buzz: browsing popular media and authoring using mixed-initiative composition. - Eunyee Koh; Andruid Kerne; Andrew M. Webb; Sashikanth Damaraju; David Sturdivant (ACM Multimedia, 2007)

Creativity support: information discovery and exploratory search. - Eunyee Koh; Andruid Kerne; Rodney Hill (SIGIR, 2007)

Representing Collections as Compositions to support distributed creative cognition and situated creative learning. - Andruid Kerne; Eunyee Koh (New Rev. Hypermedia Multim., 2007)

An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery. - Andruid Kerne; Steven M. Smith; Eunyee Koh; Hyun Choi; Ross Graeber (Int. J. Hum. Comput. Interact., 2008)

combinFormation: Information Discovery through the Mixed-Initiative Composition Space. - Andruid Kerne; Eunyee Koh (Bull. IEEE Tech. Comm. Digit. Libr., 2008)

combinFormation: Mixed-initiative composition of image and text surrogates promotes information discovery. - Andruid Kerne; Eunyee Koh; Steven M. Smith; Andrew M. Webb; Blake Dworaczyk (ACM Trans. Inf. Syst., 2008)

Deriving image-text document surrogates to optimize cognition. - Eunyee Koh; Andruid Kerne (ACM Symposium on Document Engineering, 2009)

Test collection management and labeling system. - Eunyee Koh; Andruid Kerne; Sarah Berry (ACM Symposium on Document Engineering, 2009)

Toward automatic generation of image-text document surrogates to optimize cognition. - Eunyee Koh; Andruid Kerne; Jon Moeller (JCDL, 2009)

Conferencing room for telepresence with remote participants. - Eunyee Koh (GROUP, 2010)

Information graph model and application to online advertising. - Marina Danilevsky; Eunyee Koh (UEO@CIKM, 2013)

Quarry: Picking From Examples to Explore Big Data. - Rhema Linder; Eunyee Koh (CHI Extended Abstracts, 2015)

Exploring the Front Touch Interface for Virtual Reality Headsets. - Jihyun Lee; Byungmoon Kim; Bongwon Suh; Eunyee Koh (CHI Extended Abstracts, 2016)

High-Volume Hypothesis Testing for Large-Scale Web Log Analysis. - Sana Malik; Eunyee Koh (CHI Extended Abstracts, 2016)

Topical Sequence Profiling. - Tim Gollub; Nedim Lipka; Eunyee Koh; Erdan Genc; Benno Stein 001 (DEXA Workshops, 2016)

Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item. - Sungchul Kim; Jinyoung Yeo; Eunyee Koh; Nedim Lipka (WWW (Companion Volume), 2016)

Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. - Jinyoung Yeo; Sungchul Kim; Eunyee Koh; Seung-won Hwang; Nedim Lipka (WWW (Companion Volume), 2016)

popHistory: Animated Visualization of Personal Web Browsing History. - Matthew Carrasco; Eunyee Koh; Sana Malik (CHI Extended Abstracts, 2017)

Predicting Online Purchase Conversion for Retargeting. - Jinyoung Yeo; Sungchul Kim; Eunyee Koh; Seung-won Hwang; Nedim Lipka (WSDM, 2017)

Probabilistic Visitor Stitching on Cross-Device Web Logs. - Sungchul Kim; Nikhil Kini; Jay Pujara; Eunyee Koh; Lise Getoor (WWW, 2017)

WimNet: Vision Search for Web Logs. - Sungchul Kim; Sana Malik; Nedim Lipka; Eunyee Koh (WWW (Companion Volume), 2017)

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks. - Giang Hoang Nguyen; John Boaz Lee; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (IEEE BigData, 2018)

Interactive Campaign Planning for Marketing Analysts. - Fan Du; Sana Malik; Eunyee Koh; Georgios Theocharous (CHI Extended Abstracts, 2018)

Personalizable and Interactive Sequence Recommender System. - Fan Du; Sana Malik; Georgios Theocharous; Eunyee Koh (CHI Extended Abstracts, 2018)

Identifying Types of Misalignments between Promotion Emails and Landing Pages. - Tak Yeon Lee; Eunyee Koh (CHI Extended Abstracts, 2018)

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. - Charles Chen; Sungchul Kim; Hung Bui; Ryan A. Rossi; Eunyee Koh; Branislav Kveton; Razvan C. Bunescu (CIKM, 2018)

Detecting Link and Landing Page Misalignment in Marketing Emails. - Nedim Lipka; Tak Yeon Lee; Eunyee Koh (DEXA Workshops, 2018)

Interactive Higher-Order Network Analysis. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh (ICDM Workshops, 2018)

Continuous-Time Dynamic Network Embeddings. - Giang Hoang Nguyen; John Boaz Lee; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (WWW (Companion Volume), 2018)

Higher-order Network Representation Learning. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh (WWW (Companion Volume), 2018)

HONE: Higher-Order Network Embeddings. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh (CoRR, 2018)

Higher-order Graph Convolutional Networks. - John Boaz Lee; Ryan A. Rossi; Xiangnan Kong; Sungchul Kim; Eunyee Koh; Anup Rao 002 (CoRR, 2018)

Higher-order Spectral Clustering for Heterogeneous Graphs. - Aldo G. Carranza; Ryan A. Rossi; Anup Rao 002; Eunyee Koh (CoRR, 2018)

Bridging Network Embedding and Graph Summarization. - Di Jin 003; Ryan A. Rossi; Danai Koutra; Eunyee Koh; Sungchul Kim; Anup Rao 002 (CoRR, 2018)

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)

Graph Convolutional Networks with Motif-based Attention. - John Boaz Lee; Ryan A. Rossi; Xiangnan Kong; Sungchul Kim; Eunyee Koh; Anup Rao 002 (CIKM, 2019)

Latent Network Summarization: Bridging Network Embedding and Summarization. - Di Jin 003; Ryan A. Rossi; Eunyee Koh; Sungchul Kim; Anup Rao 002; Danai Koutra (KDD, 2019)

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. - Donghyun Kim 007; Sungchul Kim; Handong Zhao; Sheng Li 001; Ryan A. Rossi; Eunyee Koh (WSDM, 2019)

DeepCompare: Visual and Interactive Comparison of Deep Learning Model Performance. - Sugeerth Murugesan; Sana Malik; Fan Du; Eunyee Koh; Tuan Manh Lai (IEEE Computer Graphics and Applications, 2019)

Heterogeneous Network Motifs. - Ryan A. Rossi; Nesreen K. Ahmed; Aldo G. Carranza; David Arbour; Anup Rao 002; Sungchul Kim; Eunyee Koh (CoRR, 2019)

Temporal Network Representation Learning. - John Boaz Lee; Giang Hoang Nguyen; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (CoRR, 2019)

Figure Captioning with Reasoning and Sequence-Level Training. - Charles Chen; Ruiyi Zhang 002; Eunyee Koh; Sungchul Kim; Scott Cohen; Tong Yu 001; Ryan A. Rossi; Razvan C. Bunescu (CoRR, 2019)

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. - Ryan A. Rossi; Anup Rao 002; Sungchul Kim; Eunyee Koh; Nesreen K. Ahmed; Gang Wu 013 (CoRR, 2019)

Linear-time Hierarchical Community Detection. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (CoRR, 2019)

Attention Models in Graphs: A Survey. - John Boaz Lee; Ryan A. Rossi; Sungchul Kim; Nesreen K. Ahmed; Eunyee Koh (ACM Trans. Knowl. Discov. Data, 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)

A Formative Study on Designing Accurate and Natural Figure Captioning Systems. - Xin Qian; Eunyee Koh; Fan Du; Sungchul Kim; Joel Chan (CHI Extended Abstracts, 2020)

Higher-order Clustering in Complex Heterogeneous Networks. - Aldo G. Carranza; Ryan A. Rossi; Anup Rao 002; Eunyee Koh (KDD, 2020)

Figure Captioning with Relation Maps for Reasoning. - Charles Chen; Ruiyi Zhang 002; Eunyee Koh; Sungchul Kim; Scott Cohen; Ryan A. Rossi (WACV, 2020)

A Structural Graph Representation Learning Framework. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim; Anup Rao 002; Yasin Abbasi-Yadkori (WSDM, 2020)

Real-Time Clustering for Large Sparse Online Visitor Data. - Gromit Yeuk-Yin Chan; Fan Du; Ryan A. Rossi; Anup B. Rao; Eunyee Koh; Cláudio T. Silva; Juliana Freire (WWW, 2020)

Fast Hierarchical Graph Clustering in Linear-Time. - Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (WWW (Companion Volume), 2020)

From Closing Triangles to Closing Higher-Order Motifs. - Ryan A. Rossi; Anup Rao 002; Sungchul Kim; Eunyee Koh; Nesreen K. Ahmed (WWW (Companion Volume), 2020)

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. - Xin Qian; Ryan A. Rossi; Fan Du; Sungchul Kim; Eunyee Koh; Sana Malik; Tak Yeon Lee; Joel Chan (CoRR, 2020)

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability. - Jinyoung Yeo; Seung-won Hwang; Sungchul Kim; Eunyee Koh; Nedim Lipka (IEEE Trans. Knowl. Data Eng., 2020)

Developing a Conversational Recommendation Systemfor Navigating Limited Options. - Victor S. Bursztyn; Jennifer Healey; Eunyee Koh; Nedim Lipka; Larry Birnbaum (CHI Extended Abstracts, 2021)

From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. - Ryan A. Rossi; Anup B. Rao; Sungchul Kim; Eunyee Koh; Nesreen K. Ahmed; Gang Wu 013 (CIKM, 2021)

"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. - Victor S. Bursztyn; Jennifer Healey; Nedim Lipka; Eunyee Koh; Doug Downey; Larry Birnbaum (EMNLP (1), 2021)

Learning to Recommend Visualizations from Data. - Xin Qian; Ryan A. Rossi; Fan Du; Sungchul Kim; Eunyee Koh; Sana Malik; Tak Yeon Lee; Joel Chan (KDD, 2021)

Generating Accurate Caption Units for Figure Captioning. - Xin Qian; Eunyee Koh; Fan Du; Sungchul Kim; Joel Chan; Ryan A. Rossi; Sana Malik; Tak Yeon Lee (WWW, 2021)

Insight-centric Visualization Recommendation. - Camille Harris; Ryan A. Rossi; Sana Malik; Jane Hoffswell; Fan Du; Tak Yeon Lee; Eunyee Koh; Handong Zhao (CoRR, 2021)

Developing a Conversational Recommendation System for Navigating Limited Options. - Victor S. Bursztyn; Jennifer Healey; Eunyee Koh; Nedim Lipka; Larry Birnbaum (CoRR, 2021)

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. - Aravind Reddy; Ryan A. Rossi; Zhao Song 002; Anup B. Rao; Tung Mai; Nedim Lipka; Gang Wu 013; Eunyee Koh; Nesreen K. Ahmed (CoRR, 2021)

Dynamic Node Embeddings From Edge Streams. - John Boaz Lee; Giang Nguyen; Ryan A. Rossi; Nesreen K. Ahmed; Eunyee Koh; Sungchul Kim (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Heterogeneous Graphlets. - Ryan A. Rossi; Nesreen K. Ahmed; Aldo G. Carranza; David Arbour; Anup B. Rao; Sungchul Kim; Eunyee Koh (ACM Trans. Knowl. Discov. Data, 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)

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. - Aravind Reddy; Ryan A. Rossi; Zhao Song 002; Anup B. Rao; Tung Mai; Nedim Lipka; Gang Wu 013; Eunyee Koh; Nesreen K. Ahmed (ICML, 2022)

iMarker: Instant and True-to-scale AR with Invisible Markers. - Chang Xiao; Ryan A. Rossi; Eunyee Koh (UIST (Adjunct Volume), 2022)

ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management. - Paula Kayongo; Jane Hoffswell; Shiv Kumar Saini; Shaddy Garg; Eunyee Koh; Haoliang Wang; Tom Jacobs (VISSOFT, 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)

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. - Namyong Park; Ryan A. Rossi; Eunyee Koh; Iftikhar Ahamath Burhanuddin; Sungchul Kim; Fan Du; Nesreen K. Ahmed; Christos Faloutsos (WWW, 2022)

CGC: Contrastive Graph Clustering for Community Detection and Tracking. - Namyong Park; Ryan A. Rossi; Eunyee Koh; Iftikhar Ahamath Burhanuddin; Sungchul Kim; Fan Du; Nesreen K. Ahmed; Christos Faloutsos (CoRR, 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)

Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways. - Cindy Xiong; Vidya Setlur; Benjamin Bach; Eunyee Koh; Kylie Lin; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2022)

An Evaluation-Focused Framework for Visualization Recommendation Algorithms. - Zehua Zeng; Phoebe Moh; Fan Du; Jane Hoffswell; Tak Yeon Lee; Sana Malik; Eunyee Koh; Leilani Battle (IEEE Trans. Vis. Comput. Graph., 2022)

Personalized Visualization Recommendation. - Xin Qian; Ryan A. Rossi; Fan Du; Sungchul Kim; Eunyee Koh; Sana Malik; Tak Yeon Lee; Nesreen K. Ahmed (ACM Trans. Web, 2022)

PersonaSAGE: A Multi-Persona Graph Neural Network. - Gautam Choudhary; Iftikhar Ahamath Burhanuddin; Eunyee Koh; Fan Du; Ryan A. Rossi (IEEE Big Data, 2023)

Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types. - Camille Harris; Ryan A. Rossi; Sana Malik; Jane Hoffswell; Fan Du; Tak Yeon Lee; Eunyee Koh; Handong Zhao (IEEE Big Data, 2023)

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)

Discovery and Matching Numerical Attributes in Data Lakes. - Pattara Sukprasert; Gromit Yeuk-Yin Chan; Ryan A. Rossi; Fan Du; Eunyee Koh (IEEE Big Data, 2023)

Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. - Alex Tang; Gromit Chan; Ryan A. Rossi; Chang Xiao; Eunyee Koh (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)

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. - Chieh-Yang Huang; Ting-Yao Hsu; Ryan A. Rossi; Ani Nenkova; Sungchul Kim; Gromit Yeuk-Yin Chan; Eunyee Koh; C. Lee Giles; Ting-Hao (Kenneth) Huang (INLG, 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)

SpotLight: Visual Insight Recommendation. - Camille Harris; Ryan A. Rossi; Sana Malik; Jane Hoffswell; Fan Du; Tak Yeon Lee; Eunyee Koh; Handong Zhao (WWW (Companion Volume), 2023)

Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making. - Md Main Uddin Rony; Fan Du; Ryan A. Rossi; Jane Hoffswell; Niyati Chhaya; Iftikhar Ahamath Burhanuddin; Eunyee Koh (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)

SonifyAR: Context-Aware Sound Effect Generation in Augmented Reality. - Xia Su; Eunyee Koh; Chang Xiao (CHI Extended Abstracts, 2024)

MoiréWidgets: High-Precision, Passive Tangible Interfaces via Moiré Effect. - Daniel Campos Zamora; Mustafa Doga Dogan; Alexa F. Siu; Eunyee Koh; Chang Xiao (CHI, 2024)

SonifyAR: Context-Aware Sound Generation in Augmented Reality. - Xia Su; Jon E. Froehlich; Eunyee Koh; Chang Xiao (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)

Interaction Techniques for Exploratory Data Visualization on Mobile Devices. - Luke S. Snyder; Ryan A. Rossi; Eunyee Koh; Jeffrey Heer; Jane Hoffswell (EuroVis (Short Papers), 2024)

Representing Charts as Text for Language Models: An In-Depth Study of Question Answering for Bar Charts. - Victor Soares Bursztyn; Jane Hoffswell; Eunyee Koh; Shunan Guo (IEEE VIS, 2024)

Understanding the Impact of Spatial Immersion in Web Data Stories. - Seon Gyeom Kim; Juhyeong Park; Yutaek Song; Donggun Lee; Yubin Lee; Ryan A. Rossi; Jane Hoffswell; Eunyee Koh; Tak Yeon Lee (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)

A Case Study of Human-Authored versus Automatic Dashboard Summaries. - Jane Hoffswell; Victor S. Bursztyn; Shunan Guo; Eunyee Koh (CHI Extended Abstracts, 2025)

Comprehensive Sketching: Exploring Infographic Design Alternatives in Parallel. - Xinyu Shi; Shunan Guo; Jane Hoffswell; Gromit Yeuk-Yin Chan; Victor S. Bursztyn; Jian Zhao 010; Eunyee Koh (CHI Extended Abstracts, 2025)

Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts. - Seon Gyeom Kim; Jae Young Choi; Ryan A. Rossi; Eunyee Koh; Tak Yeon Lee (PacificVis, 2025)

Representing Visualization Insights as a Dense Insight Network. - Jane Hoffswell; Victor Soares Bursztyn; Shunan Guo; Jesse Martinez; Eunyee Koh (CoRR, 2025)

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants. - Md. Mehrab Tanjim; Xiang Chen; Victor S. Bursztyn; Uttaran Bhattacharya; Tung Mai; Vaishnavi Muppala; Akash Maharaj; Saayan Mitra; Eunyee Koh; Yunyao Li 001; Ken Russell (CoRR, 2025)

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens. - Arpit Narechania; Shunan Guo; Eunyee Koh; Alex Endert; Jane Hoffswell (CoRR, 2025)