About Me

I am a Postdoc Scholar in Halıcıoğlu Data Science Institute at UCSD, advised by Prof. Yusu Wang.

I earned my PhD in the Department of Electrical and Systems Engineering at the University of Pennsylvania in May 2025, 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 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: We will organize “New Perspectives in Graph Machine Learning” at NeurIPS this year! Submit your latest work and join us in San Diego!
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!