Eunyee Koh

Orcid: 0000-0003-2091-5972

According to our database1, Eunyee Koh authored at least 101 papers between 2005 and 2024.

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Bibliography

2024
Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots.
IEEE Trans. Vis. Comput. Graph., 2023

Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

SpotLight: Visual Insight Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A ML-based Approach for HTML-based Style Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
Proceedings of the 16th International Natural Language Generation Conference, 2023

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Detecting Email Components with Constraints: Expressive and Extensible Models in Answer Set Programming.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation.
Proceedings of the IEEE International Conference on Big Data, 2023

Discovery and Matching Numerical Attributes in Data Lakes.
Proceedings of the IEEE International Conference on Big Data, 2023

On Chatbots for Visual Exploratory Data Analysis.
Proceedings of the IEEE International Conference on Big Data, 2023

DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information.
Proceedings of the IEEE International Conference on Big Data, 2023

Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types.
Proceedings of the IEEE International Conference on Big Data, 2023

PersonaSAGE: A Multi-Persona Graph Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Personalized Visualization Recommendation.
ACM Trans. Web, 2022

An Evaluation-Focused Framework for Visualization Recommendation Algorithms.
IEEE Trans. Vis. Comput. Graph., 2022

Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways.
IEEE Trans. Vis. Comput. Graph., 2022

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings.
CoRR, 2022

Graph Learning with Localized Neighborhood Fairness.
CoRR, 2022

CGC: Contrastive Graph Clustering for Community Detection and Tracking.
CoRR, 2022

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Let's Get Personal: Exploring the Design of Personalized Visualizations.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

ViSRE: A Unified Visual Analysis Dashboard for Proactive Cloud Outage Management.
Proceedings of the Working Conference on Software Visualization, 2022

iMarker: Instant and True-to-scale AR with Invisible Markers.
Proceedings of the Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes.
Proceedings of the International Conference on Machine Learning, 2022

Cicero: A Declarative Grammar for Responsive Visualization.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Heterogeneous Graphlets.
ACM Trans. Knowl. Discov. Data, 2021

Dynamic Node Embeddings From Edge Streams.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes.
CoRR, 2021

Developing a Conversational Recommendation System for Navigating Limited Options.
CoRR, 2021

Insight-centric Visualization Recommendation.
CoRR, 2021

Generating Accurate Caption Units for Figure Captioning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning to Recommend Visualizations from Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Developing a Conversational Recommendation Systemfor Navigating Limited Options.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability.
IEEE Trans. Knowl. Data Eng., 2020

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data.
CoRR, 2020

From Closing Triangles to Closing Higher-Order Motifs.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Fast Hierarchical Graph Clustering in Linear-Time.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Real-Time Clustering for Large Sparse Online Visitor Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Structural Graph Representation Learning Framework.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Figure Captioning with Relation Maps for Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Higher-order Clustering in Complex Heterogeneous Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Formative Study on Designing Accurate and Natural Figure Captioning Systems.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Interactive Event Sequence Prediction for Marketing Analysts.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019
Attention Models in Graphs: A Survey.
ACM Trans. Knowl. Discov. Data, 2019

Linear-time Hierarchical Community Detection.
CoRR, 2019

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.
CoRR, 2019

Figure Captioning with Reasoning and Sequence-Level Training.
CoRR, 2019

Temporal Network Representation Learning.
CoRR, 2019

Heterogeneous Network Motifs.
CoRR, 2019

DeepCompare: Visual and Interactive Comparison of Deep Learning Model Performance.
IEEE Computer Graphics and Applications, 2019

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Convolutional Networks with Motif-based Attention.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Visualizing Uncertainty and Alternatives in Event Sequence Predictions.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Bridging Network Embedding and Graph Summarization.
CoRR, 2018

Higher-order Spectral Clustering for Heterogeneous Graphs.
CoRR, 2018

Higher-order Graph Convolutional Networks.
CoRR, 2018

HONE: Higher-Order Network Embeddings.
CoRR, 2018

Higher-order Network Representation Learning.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Continuous-Time Dynamic Network Embeddings.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Interactive Higher-Order Network Analysis.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Detecting Link and Landing Page Misalignment in Marketing Emails.
Proceedings of the Database and Expert Systems Applications, 2018

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Identifying Types of Misalignments between Promotion Emails and Landing Pages.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Personalizable and Interactive Sequence Recommender System.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Interactive Campaign Planning for Marketing Analysts.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
WimNet: Vision Search for Web Logs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Probabilistic Visitor Stitching on Cross-Device Web Logs.
Proceedings of the 26th International Conference on World Wide Web, 2017

Predicting Online Purchase Conversion for Retargeting.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

popHistory: Animated Visualization of Personal Web Browsing History.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site.
Proceedings of the 25th International Conference on World Wide Web, 2016

Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item.
Proceedings of the 25th International Conference on World Wide Web, 2016

Topical Sequence Profiling.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

High-Volume Hypothesis Testing for Large-Scale Web Log Analysis.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Exploring the Front Touch Interface for Virtual Reality Headsets.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Quarry: Picking From Examples to Explore Big Data.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

2013
Information graph model and application to online advertising.
Proceedings of the 1st workshop on User engagement optimization, 2013

2010
Conferencing room for telepresence with remote participants.
Proceedings of the 2010 International ACM SIGGROUP Conference on Supporting Group Work, 2010

2009
Toward automatic generation of image-text document surrogates to optimize cognition.
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009

Test collection management and labeling system.
Proceedings of the 2009 ACM Symposium on Document Engineering, 2009

Deriving image-text document surrogates to optimize cognition.
Proceedings of the 2009 ACM Symposium on Document Engineering, 2009

2008
combinFormation: Mixed-initiative composition of image and text surrogates promotes information discovery.
ACM Trans. Inf. Syst., 2008

combinFormation: Information Discovery through the Mixed-Initiative Composition Space.
Bull. IEEE Tech. Comm. Digit. Libr., 2008

An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery.
Int. J. Hum. Comput. Interact., 2008

2007
Representing Collections as Compositions to support distributed creative cognition and situated creative learning.
New Rev. Hypermedia Multim., 2007

Creativity support: information discovery and exploratory search.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Generating views of the buzz: browsing popular media and authoring using mixed-initiative composition.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Creativity support: the mixed-initiative composition space.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

Elimination of junk document surrogate candidates through pattern recognition.
Proceedings of the 2007 ACM Symposium on Document Engineering, 2007

Promoting emergence in information discovery by representing collections with composition.
Proceedings of the 6th Conference on Creativity & Cognition, 2007

2006
Choreographic buttons: promoting social interaction through human movement and clear affordances.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

combinFormation: a mixed-initiative system for representing collections as compositions of image and text surrogates.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2006

"I Keep Collecting": College Students Build and Utilize Collections in Spite of Breakdowns.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2006

2005
Generative semantic clustering in spatial hypertext.
Proceedings of the 2005 ACM Symposium on Document Engineering, 2005


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