LabCompass

Jiangpeng He

Medicine · Indiana University

OpenAlex ORCID
Nutritional Studies and DietAdvanced Chemical Sensor TechnologiesDomain Adaptation and Few-Shot LearningCulinary Culture and TourismMultimodal Machine Learning Applications

Publications

101

Citations

684

Est. group size

—

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Jiangpeng He develops artificial intelligence and computer vision methods applied to food and nutrition, such as estimating portion sizes and nutritional content from images and videos, and recognizing food from photos. A recurring technical focus is on machine learning that can keep learning new categories over time (continual learning) and reconstruct 3D shapes of food from ordinary single-camera images.

Food image recognition and nutrition estimation3D reconstruction from single imagesContinual/incremental machine learningHandling imbalanced data (long-tailed learning)Multimodal AI (images and video)

Publication activity has grown substantially over the last decade, rising from a single paper in 2019 to peaks above 20 per year in 2023-2024, averaging about 16 papers per year over the last five 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 16.4/year recently
17182019: 1 publication192020: 4 publications202021: 14 publications212022: 10 publications222023: 21 publications232024: 25 publications25242025: 8 publications252026: 18 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×47
  • Electronic Imaging×5
  • Nutrients×3
  • Lecture notes in computer science×3
  • Open MIND×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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