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Peng Zhou

16 papers hereh-index 112.6k citations18 works total

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

author position
  • first author9
  • middle author7

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • quant-ph3
  • cs.CL2
  • cs.NE1
  • cs.RO1
  • cs.SE1
same name
  • Peng Zhou — 19 papers, h 10
  • Peng Zhou — 17 papers, h 10
  • Peng Zhou — 9 papers
  • Peng Zhou — 8 papers, h 3
  • Peng Zhou — 8 papers, h 20
  • Peng Zhou — 7 papers, h 38

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
20182021
most citedK-BERT: Enabling Language Representation with Knowledge Graph

84 citations · 383 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020★ 57 cited

FastBERT: a Self-distilling BERT with Adaptive Inference Time

Weijie Liu, Peng Zhou, Zhe Zhao +3

Pre-trained language models like BERT have proven to be highly performant. However, they are often computationally expensive in many practical scenarios, for such heavy models can…

cs.CV2020★ 3 cited

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Ning Yu, Ke Li, Peng Zhou +3

Generative Adversarial Networks (GANs) have brought about rapid progress towards generating photorealistic images. Yet the equitable allocation of their modeling capacity among sub…

cs.CV2020★ 1 cited

DeepStrip: High Resolution Boundary Refinement

Peng Zhou, Brian Price, Scott Cohen +2

In this paper, we target refining the boundaries in high resolution images given low resolution masks. For memory and computation efficiency, we propose to convert the regions of i…

cs.NE2020★ 7 cited

Reservoir Computing with Planar Nanomagnet Arrays

Peng Zhou, Nathan R. McDonald, Alexander J. Edwards +3

Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained…

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