Eunyee is a researcher at Adobe Research. She finished her PhD at the Computer Science Department of Texas A&M University. Her advisor is Prof. Andruid Kerne.
She graduated in 2002 from the Seoul National University with a bachelor’s in computer science and engineering, and worked for Motorola and Accenture during 2002-2003.
She has been a member of Adobe’s ATL since 2007. Her current research interests include semantic analysis and metadata extraction from media, and how to visualize those extracted metadata interactively for people.
Visualizing Uncertainty and Alternatives in Event Sequence Predictions
DeepCompare: Visual and Interactive Comparison of Deep Learning Models
Perceptual Similarity Ranking of Temporal Heatmaps Using Convolutional Neural Networks
Personalizable and Interactive Sequence Recommender System
Interactive Campaign Planning for Marketing Analysts
popHistory: Animated Visualization of Personal Web Browsing History
Probabilistic Visitor Stitching on Cross-device Web Logs
Predicting Online Purchase Conversion for Retargeting
High-Volume Hypothesis Testing for Large-Scale Web Log Analysis
Information Graph Model and Application to Online Advertising
Conferencing room for telepresence with remote participants
Deriving image-text document surrogates to optimize cognition
Test collection management and labeling system
Toward automatic generation of image-text document surrogates to optimize cognition
Representing Information Collections for Visual Cognition, PhD thesis abstracts
combinFormation: Mixed-Initiative Composition of Image and Text Surrogates Promotes Information Discovery
An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery
Creativity Support: The Mixed-Initiative Composition Space, Demonstrations
Promoting Emergence in Information Discovery by Representing Collections with Composition
Representing Collections as Compositions to Support Distributed Creative Cognition and Situated Creative Learning
A Creativity Support System in the Design Process, Poster Session
Supporting Information Exploration through Multiple Searches with Image+Text Surrogates, Doctoral Consortium
Elimination of Junk Document Surrogate Candidates through Pattern Recognition
Choreographic Buttons: Promoting Social Interaction through Human Movement and Clear Affordances
A Mixed-Initiative System for Representing Collections as Compositions of Image and Text Surrogates
I Keep Collecting: College Students Build and Utilize Collections in Spite of Breakdowns
Supporting Creative Learning Experience with Compositions of Image and Text Surrogates
Generative Semantic Clustering in Spatial Hypertext