LabCompass

Liangqi Yuan

Computer Science · Purdue University West Lafayette

Early career · publishing since 2021Rising activity

Publications

48

Citations

762

Est. group size

~4

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Liangqi Yuan works on federated learning (a way of training AI models across many devices without centralizing raw data), sensor-based human and vehicle monitoring, and remote sensing image analysis. Recent projects include driver behavior recognition, indoor positioning using radio signals, autonomous racing vehicle sensors, and large-scale collaborative learning for satellite/remote-sensing imagery. Much of the work connects privacy-preserving machine learning techniques with real-world sensing applications like connected vehicles and smart environments.

Federated learningIoT and sensor-based human/vehicle monitoringIndoor positioning and localizationRemote sensing and semantic segmentationAutonomous vehicles and driver monitoring

Publication output was minimal before 2021, then rose sharply starting in 2023, and has remained at a high, fairly steady level (roughly 8-9 per year) through 2025-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 9.2/year recently
171819202021: 2 publications212022: 1 publication222023: 19 publications19232024: 9 publications242025: 9 publications252026: 8 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×25
  • IEEE Internet of Things Journal×3
  • IEEE Journal of Selected Areas in Sensors×2
  • IEEE Transactions on Intelligent Vehicles×1
  • Sensors×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 20, 2026.

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