Yuhang Yao | Homepage

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165 University Ave

Palo Alto, CA 94301

I am currently a GenAI Research Scientist at TensorOpera AI, working on the cutting-edge research of Generative AI.

I got my Ph.D. of Electrical Computer Engineering at Carnegie Mellon University in 2024, working with Prof. Carlee Joe-Wong who leads the LIONS research group. I earned my Bachelor of Science degree at the IEEE Honor Class from Shanghai Jiao Tong University, supervised by Prof. Xinbing Wang and Luoyi Fu, in 2019.

My research interests include Federated Graph Learning and Generative AI. Feel free to contact me if you have some research ideas or industry collaborations.

News

Jun 28, 2024 We have released pretrained LLM Fox-1-1.6B and instruction version Fox-1-1.6B-Instruct-v0.1. Top-3 among Small Language Models!
Fox-1-1.6B
Feb 15, 2024 We are developing FedGraph library for federated graph learning.
Feb 01, 2024 I join TensorOpera AI as a research scientist for generative AI.
Dec 10, 2023 FedGCN and WyzeRule are accepted by NeurIPS. FedML-HE gets accepted by FL-NeurIPS workshop.

Selected Publications

  1. NeurIPS
    FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
    Yuhang Yao, Weizhao Jin , Srivatsan Ravi , and 1 more author
    Advances in Neural Information Processing Systems, 2024
  2. NeurIPS
    Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking
    Mohammad Mahdi Kamani , Yuhang Yao, Hanjia Lyu , and 5 more authors
    Advances in Neural Information Processing Systems, 2024
  3. IoTDI
    FedRule: Federated Rule Recommendation System with Graph Neural Networks
    Yuhang Yao, Mohammad Mahdi Kamani , Zhongwei Cheng , and 3 more authors
    In Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation , 2023