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researcher

Peng Zhou

4 papers here

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

author position
  • sole author1
  • first author2
  • middle author1

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

fields
  • cs.NE2
  • cond-mat.mtrl-sci1
  • cs.RO1
ORCID 0000-0002-2968-6937
same name
  • Peng Zhou — 15 papers, h 11
  • Peng Zhou — 10 papers
  • Peng Zhou — 7 papers
  • Peng Zhou — 6 papers, h 38
  • Peng Zhou — 3 papers
  • Peng Zhou — 3 papers, h 5

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

most citedGradient-based Neuromorphic Learning on Dynamical RRAM Arrays

3 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023★ 1 cited

Enhancing Deformable Object Manipulation By Using Interactive Perception and Assistive Tools

Peng Zhou

In the field of robotic manipulation, the proficiency of deformable object manipulation lags behind human capabilities due to the inherent characteristics of deformable objects. Th…

cs.NE2023★ 2 cited

Neuromorphic Hebbian learning with magnetic tunnel junction synapses

Peng Zhou, Alexander J. Edwards, Frederick B. Mancoff +3

Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approach…

cond-mat.mtrl-sci2023★ 2 cited

Cascaded Logic Gates Based on High-Performance Ambipolar Dual-Gate WSe2 Thin Film Transistors

Xintong Li, Peng Zhou, Xuan Hu +6

Ambipolar dual-gate transistors based on two-dimensional (2D) materials, such as graphene, carbon nanotubes, black phosphorus, and certain transition metal dichalcogenides (TMDs),…

cs.NE2022★ 3 cited

Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays

Peng Zhou, Jason K. Eshraghian, Dong-Uk Choi +2

We present MEMprop, the adoption of gradient-based learning to train fully memristive spiking neural networks (MSNNs). Our approach harnesses intrinsic device dynamics to trigger n…

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