Yuanqi Hu on Muck Rack

Yuanqi Hu

As seen in: MDPI
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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Yidong Han, Chaotao Ding, Yuanqi Hu
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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A Fast and Cost-Effective Calibration Strategy of Inter-Stage Residual Amplification Errors for Cyclic-Pipelined ADCs

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By Jinge Ma, Yuanqi Hu, Yanjin Lyu, Guoao Liu
| MDPI
1. Introduction In addition to the ever-growing demand for conversion speed, low power dissipation and compatibility with deep-sub-micron technology become other essential criteria in state-of-the-art designs [1,2]. Pipelined analog-to-digital converters (ADCs) implemented with switched-capacitors techniques have been growing popular due to their relative high-speed and high-resolution performances.
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KATO: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology

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By Weijian Fan, Yuan Yao, Zhuohua Liu, Yuanqi Hu
| arxiv.org
arXiv:2404.14433 (cs) View PDF Comments: Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE) Cite as: arXiv:2404.14433 [cs.LG] (or arXiv:2404.14433v1 [cs.LG] for this version) Submission history From: Weijian Fan [ view email] [v1] Fri, 19 Apr 2024 11:05:13 UTC (10,512 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?)...
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