Hanqing Zeng

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

I am a Research Scientist at Meta, where I work on efficient graph learning models for web-scale social recommendation. Prior to Meta, I obtained my Ph.D. in Computer Engineering at University of Southern California. My thesis focused on improving the scalability, accuracy and efficiency of large scale Graph Neural Networks. I designed new neural network models, learning algorithms as well as hardware systems for GNN training and inference. My work has led to publications in top venues in both AI (ICLR, NeurIPS, ICML, etc.) and systems (FPGA, VLDB, TPDS, etc.). I have received outstanding reviewer awards from ICLR and ICML.