About Me

I am a final-year PhD candidate in the Department of Electrical and Systems Engineering at the University of Pennsylvania, having the honor 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.

I will be a postdoc scholar in Halıcıoğlu Data Science Institute at UCSD in July 2025. I am an incoming assistant professor in the Department of Electrical and Systems Engineering at the Washington University in St. Louis in August 2026.

News

May 2025: Our paper “A Manifold Perspective on the Statistical Generalization of Graph Neural Networks” has been accepted at ICML 2025!
April 2025: I am happy to announce that I successfully defended my PhD thesis on April 15!
March 2025: Our paper “Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions” has been accepted at IEEE Transactions on Signal Processing!
December 2024: Our paper Generalization of Graph Neural Networks is Robust to Model Mismatch has been accepted at AAAI 2025. See you in Philadlephia!
December 2024: We are excited to announce that we will be presenting a tutorial “Graph Neural Networks: Architectures, Fundamental Properties and Applications” at AAAI 2025 in Philadelphia. Stay tuned for more details!
September 2024: I have been selected to participate in the Rising Stars in Data Science workshop!
April 2024: Our paper Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs has been accepted at IEEE Transactions on Signal Processing!
February 2024: Our paper Stability to Deformations of Manifold Filters and Manifold Neural Networks has been accepted at IEEE Transactions on Signal Processing!
August 2023: I have been selected to participate in EECS Rising Stars 2023!