Yuhang Yao

I am currently a third-year Ph.D. student 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 Personalized Federated Learning and Graph Representation Learning.

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!


  1. Feb 2022 This summer, I am going to work as an applied scientist intern in Amazon, focusing on Graph Neural networks and Online learning.

  2. Jan 2022 Our work A Neural-Based Bandit Approach to Mobile Crowdsourcing is accepted by HotMobile 2022. Congratulations, Shouxu!

  3. Dec 2021 Our work GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs appears in IEEE ICDM 2021. Congratulations, Harold!

  4. May 2021 - Dec 2021 I worked as a research scientist intern in Wyze, a rising start-up company with great potential, for Smart Home Rule Recommendation.

  5. Nov 2020 Our work Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks is accepted by AAAI 2021.