papers

Publications (14)

cs.CL2025

TranslationCorrect: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance

Syed Mekael Wasti, Shou-Yi Hung, Christopher Collins +1

Machine translation (MT) post-editing and research data collection often rely on inefficient, disconnected workflows. We introduce TranslationCorrect, an integrated framework desig…

cs.CY2020

Computational Skills by Stealth in Secondary School Data Science

Wesley Burr, Fanny Chevalier, Christopher Collins +3

The unprecedented growth in the availability of data of all types and qualities and the emergence of the field of data science has provided an impetus to finally realizing the impl…

physics.optics2025

Dynamic fabrication method of SNAP microresonators

Zijie Wang, Manuel Crespo-Ballesteros, Christopher Collins +4

Surface Nanoscale Axial Photonics (SNAP) technology has demonstrated the record subangstrom fabrication precision of optical microresonators and resonant photonic circuits at the o…

cs.HC2019

A Visual Analytics Framework for Adversarial Text Generation

Brandon Laughlin, Christopher Collins, Karthik Sankaranarayanan +1

This paper presents a framework which enables a user to more easily make corrections to adversarial texts. While attack algorithms have been demonstrated to automatically build adv…

cs.GR2019

Design by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations

Kyle Wm. Hall, Adam J. Bradley, Uta Hinrichs +4

While previous work exists on how to conduct and disseminate insights from problem-driven visualization projects and design studies, the literature does not address how to accompli…

cs.HC2019

Discriminability Tests for Visualization Effectiveness and Scalability

Rafael Veras, Christopher Collins

The scalability of a particular visualization approach is limited by the ability for people to discern differences between plots made with different datasets. Ideally, when the dat…

cs.HC2025

STAR: Smartphone-analogous Typing in Augmented Reality

Taejun Kim, Amy Karlson, Aakar Gupta +6

While text entry is an essential and frequent task in Augmented Reality (AR) applications, devising an efficient and easy-to-use text entry method for AR remains an open challenge.…

cs.HC2019

Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections

Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins +2

We present a framework that allows users to incorporate the semantics of their domain knowledge for topic model refinement while remaining model-agnostic. Our approach enables user…

cs.HC2022

Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating Suggestions

Mahmood Jasim, Christopher Collins, Ali Sarvghad +1

In this study, we investigate how supporting serendipitous discovery and analysis of online product reviews can encourage readers to explore reviews more comprehensively prior to m…

physics.chem-ph2018

A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians

Haichen Li, Christopher Collins, Matteus Tanha +2

Current neural networks for predictions of molecular properties use quantum chemistry only as a source of training data. This paper explores models that use quantum chemistry as an…

astro-ph.IM2022

Rubin-Euclid Derived Data Products: Initial Recommendations

Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117

This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…

cs.HC2021

Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines

Kyle Wm. Hall, Anthony Kouroupis, Anastasia Bezerianos +2

Problem-driven visualization work is rooted in deeply understanding the data, actors, processes, and workflows of a target domain. However, an individual's personality traits and c…

astro-ph.IM2018

Feasibility of near-unstable cavities for future gravitational wave detectors

Haoyu Wang, Miguel Dovale Alvarez, Christopher Collins +5

Near-unstable cavities have been proposed as an enabling technology for future gravitational wave detectors, as their compact structure and large beam spots can reduce the coating…

cs.HC2023

A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics

Davide Ceneda, Christopher Collins, Mennatallah El-Assady +3

Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics…