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Sheng Chang

8 papers hereh-index 242.2k citations144 works total

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

author position
  • middle author6
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.ET3
  • cond-mat.mtrl-sci2
  • eess.SP2
  • cs.LG1
same name
  • Sheng Chang — 4 papers, h 4
  • Sheng Chang — 2 papers, h 2
  • Sheng Chang — 2 papers
  • Sheng Chang — 1 paper, h 2
  • Sheng Chang — 1 paper, h 2
  • Sheng Chang — 1 paper, 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
20192025
most citedFully Memristive Spiking-Neuron Learning Framework and its Applications on Pattern Recognition and Edge Detection

37 citations · 103 across the 8 of their papers we have counts for

collaborators
Showing cs.ETShow all

3 papers · 1 filter

cs.ET2019★ 2 cited

A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors

Zhiri Tang, Ruohua Zhu, Ruihan Hu +6

With the development of research on novel memristor model and device, neural networks by integrating various memristor models have become a hot research topic recently. However, st…

cs.ET2019★ 37 cited

Fully Memristive Spiking-Neuron Learning Framework and its Applications on Pattern Recognition and Edge Detection

Zhiri Tang, Yanhua Chen, Shizhuo Ye +5

Fully memristive spiking-neuron learning framework, which uses drift and diffusion memristor models as axon and dendrite respectively, becomes a hot topic recently with the develop…

cs.ET2019★ 34 cited

A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing Mechanism

Zhiri Tang, Ruohua Zhu, Peng Lin +5

Memristive neural networks (MNNs), which use memristors as neurons or synapses, have become a hot research topic recently. However, most memristors are not compatible with mainstre…

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