Scholar

Rex (Zhitao) Ying

Google Scholar ID: 6fqNXooAAAAJ

Yale University

Graph learningTime Series Deep LearningGeometric deep learningFoundation modelMultimodal

Citations & Impact

All-time

Citations

42,625

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Developed widely adopted GNN algorithms: GraphSAGE, PinSAGE, and GNNExplainer.
Built the first billion-scale graph embedding service at Pinterest and a graph-based anomaly detection system at Amazon.
Awarded the Amazon Research Award in 2024.
Delivered keynotes and tutorials at major conferences including WebConf 2024, NetSci 2024, Applied Geometry for Data Science Workshop 2024, and AAAI 2023.
Served as PhD Consortium Chair for KDD 2023, organizing the one-day PhD Consortium event.
Published 4 papers at ICML 2023 and KDD 2023.
Co-organized the 'New Frontiers of Graph Learning Workshop' at NeurIPS 2023 and workshops at AAAI and WebConf.

Background

Currently an Assistant Professor in the Department of Computer Science at Yale University.
Research focuses on graph neural network (GNN) algorithms, geometric embeddings, explainable models, and more recently, multimodal foundation models involving relational reasoning.
Author of widely used GNN algorithms including GraphSAGE, PinSAGE, and GNNExplainer.
Has worked on diverse applications of graph learning in physical simulations, social networks, knowledge graphs, neuroscience, and biotechnology.
Developed the first billion-scale graph embedding service at Pinterest and a graph-based anomaly detection algorithm at Amazon.

Co-authors

20 total