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Yandong Guo

53 papers hereh-index 296.6k citations86 works total

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

author position
  • first author2
  • middle author32
  • last author18

Across the 52 of 53 papers where every author was matched, so the position is known.

fields
  • cs.CV46
  • cs.LG4
  • eess.IV3
same name
  • Yandong Guo — 14 papers, h 5
  • Yandong Guo — 13 papers, h 10
  • Yandong Guo — 3 papers, h 11
  • Yandong Guo — 2 papers, h 2
  • Yandong Guo — 1 paper
  • Yandong Guo — 1 paper, h 3

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
20122023
most citedMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

162 citations · 562 across the 52 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2021★ 15 cited

Simple and Robust Loss Design for Multi-Label Learning with Missing Labels

Youcai Zhang, Yuhao Cheng, Xinyu Huang +4

Multi-label learning in the presence of missing labels (MLML) is a challenging problem. Existing methods mainly focus on the design of network structures or training schemes, which…

cs.LG2021★ 2 cited

Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning

Haizhou Shi, Youcai Zhang, Zijin Shen +4

This paper investigates the feasibility of federated representation learning under the constraints of communication cost and privacy protection. Existing works either conduct annot…

cs.LG2021

On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals

Haizhou Shi, Youcai Zhang, Siliang Tang +4

It is a consensus that small models perform quite poorly under the paradigm of self-supervised contrastive learning. Existing methods usually adopt a large off-the-shelf model to t…

cs.LG2012

Message passing with relaxed moment matching

Yuan Qi, Yandong Guo

Bayesian learning is often hampered by large computational expense. As a powerful generalization of popular belief propagation, expectation propagation (EP) efficiently approximate…

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