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Pan Zhou

4 papers hereh-index 202.7k citations31 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CV2
  • cs.LG2
same name
  • Pan Zhou — 45 papers, h 38
  • Pan Zhou — 15 papers, h 47
  • Pan Zhou — 3 papers
  • Pan Zhou — 3 papers
  • Pan Zhou — 3 papers
  • Pan Zhou — 2 papers

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 citedMugs: A Multi-Granular Self-Supervised Learning Framework

20 citations · 20 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2022

Inception Transformer

Chenyang Si, Weihao Yu, Pan Zhou +3

Recent studies show that Transformer has strong capability of building long-range dependencies, yet is incompetent in capturing high frequencies that predominantly convey local inf…

cs.LG2022

Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees

Binghui Wang, Youqi Li, Pan Zhou

Graph neural networks (GNNs) have achieved state-of-the-art performance in many graph-based tasks such as node classification and graph classification. However, many recent works h…

cs.CV2022★ 20 cited

Mugs: A Multi-Granular Self-Supervised Learning Framework

Pan Zhou, Yichen Zhou, Chenyang Si +3

In self-supervised learning, multi-granular features are heavily desired though rarely investigated, as different downstream tasks (e.g., general and fine-grained classification) o…

cs.LG2021

TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness

Zhuolin Yang, Linyi Li, Xiaojun Xu +6

Adversarial Transferability is an intriguing property - adversarial perturbation crafted against one model is also effective against another model, while these models are from diff…

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