Xi Chen (陈熹)

I am a Ph.D. candidate advised by Prof. Shirin Jalali at the Electrical and Computer Engineering Department of Rutgers University. My background is in imaging inverse problems, machine learning, information theory, and neural compression.

I am interested in characterizing source structures (signal/image/video) by developing prior models/regularization (e.g. pre-trained VQ-VAE, Diffusion models; codebook and neural entropy coding; implicit neural representation), to solve ill-posed inverse problems and image restoration tasks under optimization frameworks (e.g. ADMM, Plug-and-Play), with theoretical understanding of the fundamental limits on the achievable recovery performance from the information theoretic and high-dimensional aspects.

I received my M.Sc. degree in Data Science from Tufts University, MA, worked with Prof. Mike Hughes and Liping Liu. I received my B.Sc. degree in Electrical Engineering from Beijing Institute of Technology, China, worked with Prof. Jie Tian.

Email: firstname.chen15 [at] rutgers [dot] edu

Please feel free to reach out if you want to discuss or collaborate on research!