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Peng Lin

4 papers hereh-index 278.4k citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.ET4
same name
  • Peng Lin — 4 papers, h 5
  • Peng Lin — 4 papers, h 31
  • Peng Lin — 3 papers, h 2
  • Peng Lin — 3 papers, h 4
  • Peng Lin — 2 papers, h 6
  • Peng Lin — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedLong short-term memory networks in memristor crossbars

400 citations · 486 across the 4 of their papers we have counts for

collaborators

4 papers

cs.ET2023★ 2 cited

Resistive memory-based zero-shot liquid state machine for multimodal event data learning

Ning Lin, Shaocong Wang, Yi Li +19

The human brain is a complex spiking neural network (SNN), capable of learning multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, it maintains…

cs.ET2023★ 83 cited

Roadmap for Unconventional Computing with Nanotechnology

Giovanni Finocchio, Jean Anne C. Incorvia, Joseph S. Friedman +48

In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same ti…

cs.ET2021★ 1 cited

Echo state graph neural networks with analogue random resistor arrays

Shaocong Wang, Yi Li, Dingchen Wang +13

Recent years have witnessed an unprecedented surge of interest, from social networks to drug discovery, in learning representations of graph-structured data. However, graph neural…

cs.ET2018★ 400 cited

Long short-term memory networks in memristor crossbars

Can Li, Zhongrui Wang, Mingyi Rao +14

Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence. State-of-the-art LSTM models w…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.