Assistant Professor, Computer Vision
Assistant Professor, Computer Vision
Biography
Dr. Yuanzhi Li is joining MBZUAI as an Affiliated Assistant Professor in the Computer Vision department. He is an Assistant Professor at CMU, Machine Learning Department. Previously, he was a postdoctoral researcher at Stanford. He did his Ph.D. at Princeton under the advise of Sanjeev Arora (2014-2018) and his undergraduate study at Tsinghua university (2010-2014).
His primary research area is deep learning theory, focusing on (1). Understanding the hierarchical feature learning process in neural networks and how its better than shallow learning methods. (2). How the choice of optimization algorithms affects the training speed of different types of neural networks, and how it influences the generalization of the learned solution. (3). How to use pre-trained neural networks in downstream applications more effectively.