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title
About Myself
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About me
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Honglin Yuan
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2025-12-19 12:54:26
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About Myself - Honglin Yuan Honglin Yuan Honglin Yuan Quantitative Researcher at Citadel Securities Follow Miami, FL Email LinkedIn Github Google Scholar About Myself I am a Quantitative Researcher at Citadel Securities . Previously, I got my Ph.D. degree from Stanford ICME , where I was fortunate to be advised by Professor Tengyu Ma . My research interest lies in machine learning theory, in particular Federated Learning, Optimization and Deep Learning theory. Before Stanford, I graduated from Peking University with B.S. degrees in Computational Mathematics and Computer Science. Please find my CV and Google Scholar here. Publications Plex: Towards Reliability using Pretrained Large Model Extensions with Dustin Tran et al. arXiv: 2207.07411 | bibtex | code | blog On Principled Local Optimization Methods for Federated Learning Ph.D. Thesis, Stanford University, 2022 Big-Step-Little-Step: Efficient Gradient Methods for Objectives with...
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