LabCompass

Haoteng Yin

Computer Science · Purdue University West Lafayette

Early career · publishing since 2017Rising activity

Publications

25

Citations

137

Est. group size

Recurring co-author estimate

Active years

9

Publishing since 2017

Research summary
AI-generated

Haoteng Yin's work focuses on graph representation learning, especially making graph neural networks more scalable and efficient for tasks like link prediction and subgraph analysis. Related threads include privacy-preserving machine learning on graphs and relational data, applying large language models to structured data tasks, and predictive modeling for entity behavior such as pedestrian trajectories. Note that the publication list also contains some unrelated titles on infrared imaging, which appear to be mismatched entries rather than part of this researcher's core body of work.

Graph neural networks and representation learningScalable subgraph-based learning algorithmsPrivacy-preserving machine learningLink prediction and structural encodingLarge language models for structured data

Publication output was sparse before 2022 but has grown and stabilized at roughly 5-6 papers per year from 2022 through 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.2/year recently
2017: 1 publication17182019: 1 publication192020: 2 publications20212022: 6 publications6222023: 5 publications232024: 5 publications242025: 5 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • Proceedings of the VLDB Endowment×2
  • Scientia Sinica Informationis×1
  • Proceedings of the AAAI Conference on Artificial Intelligence×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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