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Mingxing Tan

Mingxing Tan is a staff research scientist at Google DeepMind in the San Francisco Bay Area. His public homepage says he works on efficient models and reasoning, was the lead author of EfficientNet, EfficientDet, and MobileNetV3, and earned a Ph.D. from the University of Washington.

Google DeepMind staff research scientist for efficient models and reasoning1 organizations2 reports

Profile status: updated

updated 3 public sources
computer visionefficient modelsreasoning

Current frame

Google DeepMind staff research scientist for efficient models and reasoning

Education

University of Washington Ph.D.

Work

Google Gemini Staff Research Scientist

Public links

website Personal website google_scholar Google Scholar website Google Research profile

Organizations

extended Apple

Reports

Multimodal Language Models Apple Intelligence Foundation Language Models Multimodal Language Models Apple Intelligence Foundation Language Models: Tech Report 2025

Official and primary sources

Mingxing Tan Official source · homepage · Mingxing Tan Mingxing Tan - Google Scholar Official source · scholar · Google Scholar Mingxing Tan Official source · team_page · Google Research