Dr. Lee’s research interests lie in machine learning and its applications to artificial intelligence. In particular, he focuses on deep learning and representation learning, which aims to learn an abstract representation of the data by a hierarchical and compositional structure. His research also spans over related topics, such as graphical models, optimization, and large-scale learning. Specific application areas include computer vision, audio recognition, robotics, text modeling, and healthcare.
COntact
WebsiteLocation
Ann Arbor
Methodologies
Artificial Intelligence / Computer Vision / Data Mining / Machine Learning