Zhuang Liu

RESEARCH SCIENTIST | NEW YORK CITY, UNITED STATES

I'm a Research Scientist at Meta AI Research (FAIR). I received my PhD in Computer Science from the EECS Department at UC Berkeley, advised by Prof. Trevor Darrell. I was also fortunate to have worked as a visiting researcher / intern at Cornell, Intel Labs, Adobe Research and FAIR. I earned my Bachelor's degree in Computer Science from Yao Class at Tsinghua University.

My research focuses on scaling neural networks both up and down, to build capable models and understand their behaviors in different compute and data environments. I place an emphasis on exploring simple and baseline approaches to gain insights into the workings of deep learning. My research is often characterized by challenging existing beliefs in the field.

I led the development of DenseNet (which won a CVPR Best Paper Award) and ConvNeXt. Both are among the most widely used neural architectures in deep learning and computer vision.