Yuhang Yao
Porter Hall B23
Carnegie Mellon University
Pittsburgh, PA 15213
I am currently a fifth-year Ph.D. candidate in Electrical Computer Engineering at Carnegie Mellon University, working with Prof. Carlee Joe-Wong who leads the Learning, Incentives, and Optimization for Networked Systems(LIONS) research group. My research interests include Federated Graph Learning and Federated Learning with Generative AI.
Before joining CMU, I earned my Bachelor of Science degree in Computer Science and Electrical Engineering at the IEEE Honor Class from Shanghai Jiao Tong University, supervised by Prof. Xinbing Wang and Luoyi Fu, in 2019.
I am always open to collaborations, both academia and industry. If you have some interesting ideas, feel free to contact me!
News
Selected Publications
-
NeurIPSFedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional NetworksAdvances in Neural Information Processing Systems, 2024
-
NeurIPSWyze Rule: Federated Rule Dataset for Rule Recommendation BenchmarkingAdvances in Neural Information Processing Systems, 2024
-
IoTDIFedRule: Federated Rule Recommendation System with Graph Neural NetworksIn Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation , 2023