LabCompass

Thái Hoàng Lê

Computer Science · Indiana University

Publications

165

Citations

1,210

Est. group size

Recurring co-author estimate

Active years

35

Publishing since 1992

Research summary
AI-generated

Thái Hoàng Lê works across two connected areas: machine learning applications (including natural language processing, medical image analysis, and privacy-focused techniques such as machine unlearning and facial recognition) and pure mathematics related to number theory. The applied work spans large language model question-answering systems, lung nodule segmentation in CT scans, and explainable AI, while the mathematical work explores topics like equidistribution of sequences and additive bases.

Natural language processing and large language modelsMedical image segmentationMachine unlearning and privacy in AIExplainable AIAnalytic and additive number theory

Publication activity has grown steadily over the last decade, rising from a handful of papers per year to around 13-16 in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 9.8/year recently
2017: 4 publications172018: 4 publications182019: 7 publications192020: 2 publications202021: 6 publications212022: 7 publications222023: 12 publications232024: 13 publications242025: 16 publications16252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×17
  • Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering×9
  • Communications in computer and information science×4
  • Indian Journal of Science and Technology×3
  • EAI Endorsed Transactions on Context-aware Systems and Applications×2

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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