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Gao Huang

Tsinghua University
H指数:61
被引数:6.7万

个人简介

I am an Associate Professor in the Department of Automation at Tsinghua University, where I lead the LEarning And Perception (LEAP) Lab. Previously, I was a postdoctoral researcher in the Department of Computer Science at Cornell University, working with Prof. Kilian Q. Weinberger. I received my PhD in machine learning from Tsinghua University in 2015. My research focuses on the architectures and learning algorithms of foundation models, including large language models (LLMs), vision-language models (VLMs), and foundation models for embodied intelligence, such as vision-language-action models (VLAs) and world-action models (WAMs).

教育背景

  • 2015.12

    Tsinghua University PhD machine learning

工作经历

暂无内容

荣誉奖项

  1. Asian Young Scientist Fellowship(2024)
  2. MIT Innovators Under 35 Award(2021)
  3. DAMO Qingcheng Award(2020)
  4. AI2000 Most Influential Scholar in Computer Vision
  5. Best Paper Award at CVPR 2017(2017)
  6. Outstanding Paper Award at ICML 2026(2026)
  7. Best Paper Runner-Up Award at NeurIPS 2025(2025)
  8. Best Paper Finalist at CVPR 2026(2026)
  9. ICML Outstanding Paper Award(2026)
  10. CVPR Best Paper Finalists(2026)
  11. NeurIPS Best Paper Runner-up Award(2025)
  12. CVPR Best Paper Finalists(2022)
  13. AI2000 Most Influential Scholar in Computer Vision(2022)
  14. MIT TR 35 Asia-Pacific, MIT Technology Review(2021)
  15. Research Fund for Outstanding Young Scholars, Nature Science Foundation of China(2020)
  16. DAMO Qingcheng Award, Alibaba(2020)
  17. Super AI Leader - Pioneer Award, World AI Conference (WAIC)(2018)
  18. CVPR Best Paper Award(2017)
Predictive value of current nodal staging systems and development of machine learning nomogram for resectable pancreatic head cancer: a population-based study and multicenter validation

当前淋巴结分期系统的预测价值及针对可切除胰头癌的机器学习诺模图开发:一项基于人群的研究和 multicenter 验证

2025-12-020
OAAI