About Me

I am a 5th year PhD candidate of the Electrical and Systems Engineering department at the University of Pennsylvania. I am fortunate to be advised by Prof. Alejandro Ribeiro. I received B.E. and M.E. degrees in 2016 and 2019 respectively, advised by Prof. Cong Shen, from the Department of Electronic Engineering and Information Science, University of Science and Technology of China.

My main research interest focuses on the theoretical analyses of the limits of large graph neural networks as manifold neural networks and their applications on analyzing high-dimensional data.

News:

Apr 2024: Our paper “Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs” got accepted at IEEE Transactions on Signal Processing!
Feb 2024: Our paper “Stability to Deformations of Manifold Filters and Manifold Neural Networks” got accepted at IEEE Transactions on Signal Processing!
Aug 2023: I am selected to participate in EECS Rising Stars 2023.
Jul 2023: A paper is accepted by Asilomar 2023. See you there!
Jun 2023: I start my internship at Mitsubishi Electric Research Laboratories (MERL).
Jun 2023: I presented my work at ICASSP 2023. Check out the poster here.
Apr 2023: I have been named a Rising star in Signal Processing. I will be presenting my thesis work on manifold filters and neural networks at ICASSP 2023. Check out the poster here!