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Yi Zhou

21 papers hereh-index 203.2k citations49 works total

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

author position
  • first author2
  • middle author15
  • last author2

Across the 19 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.CV4
  • cs.CL2
  • cs.CR1
  • cs.CY1
same name
  • Yi Zhou — 30 papers, h 27
  • Yi Zhou — 25 papers, h 29
  • Yi Zhou — 21 papers, h 14
  • Yi Zhou — 20 papers, h 18
  • Yi Zhou — 14 papers, h 22
  • Yi Zhou — 14 papers, h 11

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
20182023
most citedHybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

302 citations · 558 across the 17 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing

Jie Zhang, Pengcheng Shi, Zaiwang Gu +2

The neural rendering of humans is a topic of great research significance. However, previous works mostly focus on achieving photorealistic details, neglecting the exploration of hu…

cs.CV2023★ 1 cited

Overlap Bias Matching is Necessary for Point Cloud Registration

Pengcheng Shi, Jie Zhang, Haozhe Cheng +4

Point cloud registration is a fundamental problem in many domains. Practically, the overlap between point clouds to be registered may be relatively small. Most unsupervised methods…

cs.CV2023★ 3 cited

Boosting Multi-modal Model Performance with Adaptive Gradient Modulation

Hong Li, Xingyu Li, Pengbo Hu +3

While the field of multi-modal learning keeps growing fast, the deficiency of the standard joint training paradigm has become clear through recent studies. They attribute the sub-o…

cs.CV2023

DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion

Pengcheng Shi, Haozhe Cheng, Xu Han +2

Point cloud completion estimates complete shapes from incomplete point clouds to obtain higher-quality point cloud data. Most existing methods only consider global object features,…

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