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Yangjing Shen

dblp:175/1750 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 67% Hardware accelerators and domain-specific architectures · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures › machine learning accelerator
neural network accelerator		 0.212016
Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks · Sci. China Inf. Sci. 2016
Emerging computing paradigms
neuromorphic computing		 0.212016
Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks · Sci. China Inf. Sci. 2016
Emerging computing paradigms › neuromorphic hardware
spiking neural network hardware		 0.212016
Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks · Sci. China Inf. Sci. 2016

Methods — techniques the papers use, named apart from their topics

spiking neural network · 0.2
YearPublicationVenuePosition
2017 Darwin: A neuromorphic hardware co-processor based on spiking neural networks
De Ma, Juncheng Shen, Zonghua Gu 0001, Ming Zhang 0018, Xiaoqiang Xu, Qi Xu 0008, Yangjing Shen, Gang Pan 0001
 J. Syst. Archit.8
2016 Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks
Juncheng Shen, De Ma, Zonghua Gu 0001, Ming Zhang 0018, Xiaoqiang Xu, Qi Xu 0008, Yangjing Shen, Gang Pan 0001
 Sci. China Inf. Sci.8