LabCompass

Ying Sheng

Computer Science · Indiana University

Publications

139

Citations

6,378

Est. group size

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

The publication record associated with this name spans a wide range of topics, but the computer science contributions center on making large language models (LLMs) run faster and more efficiently. This work includes systems for serving and executing LLM programs, optimizing attention mechanisms, and scheduling inference on limited hardware. Note that the listed records appear to mix multiple authors sharing a name, so many biomedical papers likely belong to different researchers.

Efficient LLM inference and servingAttention mechanism optimizationStructured language model executionScheduling on constrained GPU hardware

The overall record shows growing activity through the early 2020s, though the computer science venue papers cluster in the most recent years (2024-2025).

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 11.8/year recently
2017: 6 publications172018: 5 publications182019: 9 publications192020: 9 publications202021: 12 publications212022: 14 publications222023: 20 publications20232024: 15 publications242025: 9 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×17
  • Research Square×6
  • Human Molecular Genetics×3
  • Brain×3
  • European Journal of Human Genetics×3

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 11, 2026.

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