Yuhang Yao | Homepage
![prof_pic.png](/assets/img/prof_pic.png?c686268d7a913444eb325219402da820)
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!
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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
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NeurIPSFedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional NetworksAdvances in Neural Information Processing Systems, 2024
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NeurIPSWyze Rule: Federated Rule Dataset for Rule Recommendation BenchmarkingAdvances in Neural Information Processing Systems, 2024
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IoTDIFedRule: Federated Rule Recommendation System with Graph Neural NetworksIn Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation , 2023