LabCompass

Shufan Liu

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2007Rising activity

Publications

28

Citations

495

Est. group size

~2

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

This researcher works across two fairly distinct areas: efficient computing systems for large AI models (such as GPU sharing in large computing clusters and speeding up how large language models process long text) and applications of drones, satellite imagery, and data analysis to monitor and assess infrastructure, including railroad crossings and disaster damage. Recent work combines image analysis, natural language processing, and geospatial data to study risks at highway-railroad crossings and to inspect railroad conditions using drones.

Efficient large language model (LLM) serving and GPU resource sharingDrone (UAV) and satellite imagery for infrastructure monitoringCrowd counting and computer visionGeospatial and natural language data analysis for disaster/risk assessmentRemote sensing for road and railroad infrastructure

After a gap with little to no output in the mid-2010s to early 2020s, publication activity has grown noticeably since 2023, reaching its highest yearly counts in 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 2.6/year recently
17182019: 2 publications192021222023: 2 publications232024: 3 publications242025: 5 publications5252026: 3 publications26
Publishes in
  • arXiv (Cornell University)×5
  • ISPRS Journal of Photogrammetry and Remote Sensing×1
  • Science China Information Sciences×1
  • Report×1
  • Journal of Civil Structural Health Monitoring×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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