Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. - Brian Plancher; Camelia D. Brumar; Iulian Brumar; Lillian Pentecost; Saketh Rama; David Brooks 001 (HPEC, 2019)

A Log-Rectilinear Transformation for Foveated 360-degree Video Streaming. - David Li 001; Ruofei Du; Adharsh Babu; Camelia D. Brumar; Amitabh Varshney (IEEE Trans. Vis. Comput. Graph., 2021)

PIXAL: Anomaly Reasoning with Visual Analytics. - Brian Montambault; Camelia D. Brumar; Michael Behrisch 001; Remco Chang (CoRR, 2022)

Characterizing the Users, Challenges, and Visualization Needs of Knowledge Graphs in Practice. - Harry X. Li; Gabriel Appleby; Camelia Daniela Brumar; Remco Chang; Ashley Suh 001 (CoRR, 2023)

RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations. - Camelia D. Brumar; Gabriel Appleby; Jen Rogers; Teddy Matinde; Lara Thompson; Remco Chang; Anamaria Crisan (CoRR, 2023)

Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities. - Harry X. Li; Gabriel Appleby; Camelia Daniela Brumar; Remco Chang; Ashley Suh 001 (IEEE Trans. Vis. Comput. Graph., 2024)

DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic. - Brian Montambault; Gabriel Appleby; Jen Rogers; Camelia D. Brumar; Mingwei Li; Remco Chang (IEEE Trans. Vis. Comput. Graph., 2025)

A Typology of Decision-Making Tasks for Visualization. - Camelia D. Brumar; Sam Molnar; Gabriel Appleby; Kristi Potter; Remco Chang (IEEE Trans. Vis. Comput. Graph., 2025)