Gao Huang Homepage (original) (raw)

Bio

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 interests lie at the intersection of machine learning and computer vision, with a particular focus on efficient foundation models. Specifically, I work on designing compact neural architectures and developing efficient training and inference algorithms for large-scale models, including large language models (LLMs), vision-language models (VLMs), and vision-language-action models (VLAs).

My research has been recognized by the Asian Young Scientist Fellowship (2024), MIT Innovators Under 35 Award (2021), DAMO Qingcheng Award (2020), and several research awards from academic communities and industry in China. I was also named among the AI2000 Most Influential Scholars in Computer Vision (2021). Our research has received the Best Paper Award at CVPR 2017 (DenseNet), was selected as a Best Paper Finalist at CVPR 2022 (Deformable Attention Transformer), and has won multiple Best Paper Awards at workshops, including NeurIPS 2018 and ICML 2025. Collectively, our work has garnered more than 85,000 citations according to Google Scholar. (C.V.)

For students who are interested in joining our lab (PhD/Master/Intern/Postdoc), please contact me via gaohuang AT tsinghua.edu.cn.

Professional Activities

Awards