Jie Yin

About

Jie Yin is an Associate Professor at The University of Sydney, Australia. His research interests encompass graph neural networks, entity alignment, and active learning methodologies. Recent publications include works on improving fairness in graph neural networks, addressing confirmation bias in entity alignment, and exploring semi-supervised learning strategies. He is also acclaimed for his contributions to the field of network representation learning.