Yifei Wang
About me
I am a forth-year Ph.D. candidate in the Department of Electrical Engineering at Stanford University, where I am coadvised by Prof. Mert Pilanci and Prof. David Tse. Prior to joining Stanford, I obtained my B.S. degree of Computational and Applied Mathematics in School of Mathematical Science at Peking University, advised by Prof. Zaiwen Wen. My research interests include applications of convex neural networks on the training of large language model and the design of consensus protocols.
Recent News
2023/9 I finished my internship at Babylon Chain. Thanks a lot to David and Sankha for hosting me. My main responsibilities encompassed user behavior analysis of Bitcoin, an extensive survey on the Proof of Stake (PoS) liquid staking model and their related incentive programs, and a thorough tokenomics investigation of emerging blockchains, including Akash.
2023/1 Our paper Parallel Deep Neural Networks Have Zero Duality Gap is accepted for 2023 as a poster. In short, we make the convex duality gap for deep neural networks become zero by considering the parallel neural network structure. To a parallel neural network with m branches, the output is the linear combinations of the outputs of m standard fully connected neural networks.
Contact
If you find any of my research interesting or have any questions, feel free to reach out to me via email!
Email wangyf18 at stanford dot edu
LinkedIn
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My Github
Pilanci Research Group's Github
CV
My CV
Last update
March 22nd, 202
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