LabCompass

Ruoxi Qi

Computer Science · The Ohio State University

Mid career · publishing since 2014Rising activity

Publications

14

Citations

521

Est. group size

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

Ruoxi Qi's recent work focuses on explainable artificial intelligence (AI), particularly comparing how humans and AI systems explain image classification and object detection decisions, and on weakly-supervised medical image segmentation using eye-gaze data. Earlier work in the record covers hospitality and tourism topics such as virtual reality theme park experiences, mobile event apps, and consumer behavior, suggesting a shift over time toward AI-focused research. This body of work would suit students interested in human-computer interaction, AI interpretability, or applying machine learning to healthcare imaging.

Explainable AI (XAI) and human understanding of AI decisionsMedical image segmentation using weak supervision (eye-gaze annotations)AI bias and value alignment in large language modelsConsumer behavior and marketing in hospitality/tourismHuman-computer interaction and user studies

Publication output was sparse and irregular from 2017-2023 (mostly 0-1 papers/year) but increased noticeably from 2024 onward, indicating a recent growth in research activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
2017: 1 publication172018: 1 publication18192020: 1 publication202021: 1 publication212022: 1 publication222023: 1 publication232024: 4 publications4242025: 1 publication252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×2
  • SSRN Electronic Journal×2
  • Tourism Management×1
  • Journal of Hospitality and Tourism Management×1
  • Journal of Hospitality and Tourism Technology×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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