Zhuang Liu — CEO

Updated info: https://liuzhuang13.github.io/ My primary research areas are deep learning and computer vision. I work on deep learning model architectures, training, efficiency, and understanding. Recently, I've also been interested in studying language models, vision language models, and datasets in learning. I seek to understand the workings of deep learning, and like to explore simple approaches to gain empirical insights into neural networks, their training, and behaviors. My research often challenges existing beliefs, e.g., in architectures, training, pruning, and datasets. I led the development of DenseNet (CVPR Best Paper Award) and ConvNeXt. Both are among the most widely used neural architectures in deep learning and computer vision.

Stackforce AI infers this person is a leading expert in deep learning and computer vision research.

Experience: 5 yrs 4 mos