54 citations · 59 across the 12 of their papers we have counts for
14 papers
Recent progress in the construction of Hadamard matrices
Ronan Egan, Ilias Kotsireas, Stephen London +1
A Hadamard matrix is a square matrix with entries whose rows are mutually orthogonal. Hadamard matrices are conjectured to exist at every order divisible by ; for approx…
ProtoLIP: From Sentence-Level to Object-Level Evidence Disentanglement
Yan Zhu, Yongbo Chen, Zhengming Ding +1
Query-conditioned vision-language models enable fine-grained interpretation by revealing which visual content supports a given textual query and how this evidence changes across qu…
Spatial Visual Analytics for Multi-Document Summary Verification
Jiahao Xu, Wei Liu, Yang Liu +5
Large language models increasingly generate summaries from collections of documents to support sensemaking and reporting, but verifying whether summary statements are grounded in s…
KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback
Yan Zhu, Y. Chen, Rebecca Faust
In large-scale text analysis tasks, pre-trained language models are often used to embed text corpora for downstream analysis. However, such models may struggle to capture domain-sp…
Scalable Semantic Steering of Embedding Projections
Wei Liu, Eric Krokos, Kirsten Whitley +2
Low-dimensional projections support interactive visual analysis of high-dimensional data embeddings, but their structure often does not align with analyst-defined semantic relation…
Debugging as Evidence-Driven Reasoning: Visualization Opportunities in Data-Intensive Programming
Yongbo Chen, Yan Zhu, Rebecca Faust
Visualization has been recognized as a valuable means of supporting debugging by externalizing runtime behavior that would otherwise remain hidden or scattered. However, most visua…
Context-Aware Explanations for Spatialized Document Layouts
Wei Liu, John Wenskovitch, Chris North +1
Spatialized document layouts are widely used for exploratory analysis of text corpora, but interpreting the spatial organization of documents and the relationships between regions…
LLM-Augmented Semantic Steering of Text Embedding Projection Spaces
Wei Liu, Eric Krokos, Kirsten Whitley +2
Low-dimensional projections of text embeddings support visual analysis of document collections, but their spatial organization may not reflect the relationships an analyst intends…
Visualizing Temporal Topic Embeddings with a Compass
Daniel Palamarchuk, Lemara Williams, Brian Mayer +4
Dynamic topic modeling is useful at discovering the development and change in latent topics over time. However, present methodology relies on algorithms that separate document and…
Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings
Wei Liu, Chris North, Rebecca Faust
Dimension reduction (DR) can transform high-dimensional text embeddings into a 2D visual projection facilitating the exploration of document similarities. However, the projection o…
ImageSI: Semantic Interaction for Deep Learning Image Projections
Jiayue Lin, Rebecca Faust, Chris North
Semantic interaction (SI) in Dimension Reduction (DR) of images allows users to incorporate feedback through direct manipulation of the 2D positions of images. Through interaction,…
NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning
Yali Bian, Rebecca Faust, Chris North
An increasing number of studies have utilized interactive deep learning as the analytic model of visual analytics systems for complex sensemaking tasks. In these systems, tradition…
Anteater: Interactive Visualization of Program Execution Values in Context
Rebecca Faust, Katherine Isaacs, William Z. Bernstein +2
Debugging is famously one the hardest parts in programming. In this paper, we tackle the question: what does a debugging environment look like when we take interactive visualizatio…
DimReader: Axis lines that explain non-linear projections
Rebecca Faust, David Glickenstein, Carlos Scheidegger
Non-linear dimensionality reduction (NDR) methods such as LLE and t-SNE are popular with visualization researchers and experienced data analysts, but present serious problems of in…