Incoming assistant professor in the Department of Electrical and Systems Engineering at Washington University in St. Louis, August 2026.
Organizing “New Perspectives in Graph Machine Learning” at NeurIPS 2025.
Paper “A Manifold Perspective on the Statistical Generalization of Graph Neural Networks” accepted at ICML 2025.
Successfully defended PhD thesis on April 15, 2025.
Paper “Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions” accepted at IEEE Transactions on Signal Processing.
Paper “Generalization of Graph Neural Networks is Robust to Model Mismatch” accepted at AAAI 2025.
Presenting a tutorial “Graph Neural Networks: Architectures, Fundamental Properties and Applications” at AAAI 2025 in Philadelphia.
Selected to participate in the Rising Stars in Data Science workshop, September 2024.
Background
Research interests include graph neural networks, machine learning, etc. Currently a Postdoc Scholar at Halıcıoğlu Data Science Institute, UCSD, advised by Prof. Yusu Wang.