Zhitao Ying, Ph.D., Stanford University; B.S., Duke University. Joined Yale Faculty July 2022.

Zhitao Ying's picture
Assistant Professor of Computer Science
51 Prospect Street, New Haven, CT 06511
+1 (650) 250-9998

My research spans 3 broad areas: deep learning for graphs, geometric representation learning, and real-world applications with relational reasoning and modeling. In the past, I created many widely used GNN algorithms such as GraphSAGE, PinSAGE and GNNExplainer.

In addition, I have worked on a variety of applications of graph learning in physical simulations, social networks, knowledge graphs and biology. I developed the first billion-scale graph embedding services at Pinterest, and the graph-based anomaly detection algorithm at Amazon.

Prospective students:

I’m looking for Ph.D. students who are passionate about pushing the frontiers of GNNs and geometric deep learning, through novel modeling of real-world problems and data, theoretical study of GNN and manifolds, new capabilities for graphs (e.g. autoML, explainability and fairness). Students interested in intersections of graph learning and applications in social sciences, natural sciences, medicine and industrial AI platforms are also welcome to reach out.