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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 2019Show all

4 papers · 1 filter

cs.CV2019★ 7 cited

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Kekai Sheng, Weiming Dong, Menglei Chai +6

Visual aesthetic assessment has been an active research field for decades. Although latest methods have achieved promising performance on benchmark datasets, they typically rely on…

cs.CL2019★ 84 cited

K-BERT: Enabling Language Representation with Knowledge Graph

Weijie Liu, Peng Zhou, Zhe Zhao +4

Pre-trained language representation models, such as BERT, capture a general language representation from large-scale corpora, but lack domain-specific knowledge. When reading a dom…

cs.SE2019★ 5 cited

Sionnx: Automatic Unit Test Generator for ONNX Conformance

Xinli Cai, Peng Zhou, Shuhan Ding +2

Open Neural Network Exchange (ONNX) is an open format to represent AI models and is supported by many machine learning frameworks. While ONNX defines unified and portable computati…

cs.CV2019★ 42 cited

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning

Peng Zhou, Long Mai, Jianming Zhang +3

Incremental learning targets at achieving good performance on new categories without forgetting old ones. Knowledge distillation has been shown critical in preserving the performan…

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