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, generative models, computational imaging and statistical machine learning.

I am particularly interested in developing denoisers/regularizers (e.g. generative models: VAE, Diffusion models; image implicit/explicit priors: sparsity, DIP, INR; compression code: neural compression etc.), under an optimization framework (e.g. ADMM, Plug-and-Play, SURE, RED etc.), to solve ill-posed inverse problems in 2D/3D imaging systems (e.g. coherent imaging, snapshot compressive imaging etc.), with theoretical guarantees, and understandings of the fundamental limits on the achievable recovery performance from the information theoretic and high-dimensional perspective.

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!