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Hyung-Min Lee

1 paper hereh-index 222.1k citations80 works total

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.ET1

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most citedAnalog CMOS-based Resistive Processing Unit for Deep Neural Network Training

53 citations · 53 across the 1 of their papers we have counts for

collaborators

1 paper

cs.ET2017★ 53 cited

Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training

Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee +1

Recently we have shown that an architecture based on resistive processing unit (RPU) devices has potential to achieve significant acceleration in deep neural network (DNN) training…

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