Yushun Dong

Addressing reliability, generalizability, and confidentiality in Graph ML.

Establishing a benchmark to evaluate fairness in graph learning methods.

New framework allows for efficient removal of sensitive data from Graph Neural Networks.

Exploring certified unlearning and its role in data privacy protection.

BrainMAP offers a fresh approach to studying how brain regions interact during tasks.