Huang Gao

Gao Huang is an Associate Professor in the Department of Automation at Tsinghua University, where he leads the LEarning And Perception (LEAP) Lab. He is best known for co-authoring DenseNet, which received the Best Paper Award at CVPR 2017, and his research focuses on efficient foundation models spanning large language models, vision-language models, and embodied AI. He previously served as a postdoctoral researcher at Cornell University and has received recognitions including the MIT Innovators Under 35 Award and the Asian Young Scientist Fellowship.