Xi Chen (陈熹)

I am a 2nd year Ph.D. candidate advised by Prof. Shirin Jalali at the Electrical and Computer Engineering Department of Rutgers University. My background is in inverse problems, generative models, computational imaging and statistical machine learning.

I am particularly interested in developing denoisers (e.g. generative models, implicit priors etc.), under an iterative optimization framework (e.g. plug-and-play, projected gradient descent, ADMM etc.), to solve inverse problems in imaging systems (e.g. coherent, snapshot imaging etc.), with theoretical guarantees and understanding of fundamental limits on the achievable performance (e.g. information theoretic aspect).

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