My research interest lies in the intersection of signal processing, data science, machine learning, and numerical optimization. In particular, I am interested in computational methods for learning low-complexity models from high-dimensional data. The current research of our group focuses on (i) the foundations of generative AI, (ii) deep representation learning, and (iii) machine learning for scientific applications.
Faculty
Qing Qu
Assistant Professor, Electrical and Computer Engineering
Contact
734-763-9706
[email protected]
Website
Research
Research Areas
AI; ML and Statistical InferenceAlgorithms and Codes
Computational and Informational Processing
Learning low-complexity models from high-dimensional data