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Akademický článek

Design of a high-performance and dynamic reconfigurable SPI IP core with master and slave mode

Autor: Wei Pengbo, Zhang Cunde, Huang Xiang, Yu Zhiguo, GU Xiaofeng

Publikováno v: Dianzi Jishu Yingyong, Vol 44, Iss 3, Pp 15-18 (2018)

To meet the flexible configuration requirements of serial peripheral interface(SPI) in the System-on-a-Chip(SoC), the SPI IP core which can be configured as a master or slave with four date transfer modes and seven clock transmission rates is designe

Externí odkaz: https://doaj.org/article/984cc7b17a074816b9d74684d287a154

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Pre-trained Language Models Can be Fully Zero-Shot Learners

Autor: Zhao, Xuandong, Ouyang, Siqi, Yu, Zhiguo, Wu, Ming, Li, Lei

How can we extend a pre-trained model to many language understanding tasks, without labeled or additional unlabeled data? Pre-trained language models (PLMs) have been effective for a wide range of NLP tasks. However, existing approaches either requir

Externí odkaz: http://arxiv.org/abs/2212.06950

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Photonic sampled and quantized analog-to-digital converters on thin-film lithium niobate platform

Autor: Tu, Donghe, Huang, Xingrui, Liu, Yang, Yu, Zhiguo, Li, Zhiyong

In this paper, an on-chip photonic sampled and quantized analog-to-digital converter (ADC) on thin-film lithium niobate platform is experimentally demonstrated. Using two phase modulators as a sampler and a 5$\times$5 multimode interference (MMI) cou

Externí odkaz: http://arxiv.org/abs/2207.13972

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Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation

Autor: Zhao, Xuandong, Yu, Zhiguo, Wu, Ming, Li, Lei

How to learn highly compact yet effective sentence representation? Pre-trained language models have been effective in many NLP tasks. However, these models are often huge and produce large sentence embeddings. Moreover, there is a big performance gap

Externí odkaz: http://arxiv.org/abs/2203.07687

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