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Yonggang Wen

8 papers hereh-index 10632 citations14 works total

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

author position
  • middle author8

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

fields
  • cs.DC3
  • cs.LG3
  • cs.CV2
same name
  • Yonggang Wen — 49 papers, h 61
  • Yonggang Wen — 22 papers, h 10
  • Yonggang Wen — 11 papers, h 3
  • Yonggang Wen — 9 papers, h 9
  • Yonggang Wen — 7 papers, h 6
  • Yonggang Wen — 3 papers, h 4

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
20212023
most citedCharacterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters

131 citations · 239 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022★ 2 cited

Smart Multi-tenant Federated Learning

Weiming Zhuang, Yonggang Wen, Shuai Zhang

Federated learning (FL) is an emerging distributed machine learning method that empowers in-situ model training on decentralized edge devices. However, multiple simultaneous traini…

cs.CV2022★ 29 cited

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

Weiming Zhuang, Xin Gan, Yonggang Wen +1

The increasingly stringent data privacy regulations limit the development of person re-identification (ReID) because person ReID training requires centralizing an enormous amount o…

cs.LG2022★ 35 cited

Divergence-aware Federated Self-Supervised Learning

Weiming Zhuang, Yonggang Wen, Shuai Zhang

Self-supervised learning (SSL) is capable of learning remarkable representations from centrally available data. Recent works further implement federated learning with SSL to learn…

cs.CV2022

Federated Unsupervised Domain Adaptation for Face Recognition

Weiming Zhuang, Xin Gan, Yonggang Wen +3

Given labeled data in a source domain, unsupervised domain adaptation has been widely adopted to generalize models for unlabeled data in a target domain, whose data distributions a…

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