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researcher

Yao Liu

4 papers here

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

author position
  • first author1
  • middle author1
  • last author2

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

fields
  • cs.LG2
  • cs.DC1
  • cs.SD1
ORCID 0000-0003-3382-798X
same name
  • Yao Liu — 12 papers
  • Yao Liu — 10 papers, h 12
  • Yao Liu — 4 papers
  • Yao Liu — 2 papers
  • Yao Liu — 2 papers
  • Yao Liu — 1 paper, h 5

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 citedPerception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DC2022

On the Convergence of Multi-Server Federated Learning with Overlapping Area

Zhe Qu, Xingyu Li, Jie Xu +3

Multi-server Federated learning (FL) has been considered as a promising solution to address the limited communication resource problem of single-server FL. We consider a typical mu…

cs.SD2022★ 2 cited

Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception

Rui Duan, Zhe Qu, Shangqing Zhao +3

Recently, adversarial machine learning attacks have posed serious security threats against practical audio signal classification systems, including speech recognition, speaker reco…

cs.LG2022

Offline Policy Optimization with Eligible Actions

Yao Liu, Yannis Flet-Berliac, Emma Brunskill

Offline policy optimization could have a large impact on many real-world decision-making problems, as online learning may be infeasible in many applications. Importance sampling an…

cs.LG2021

Context-Aware Online Client Selection for Hierarchical Federated Learning

Zhe Qu, Rui Duan, Lixing Chen +3

Federated Learning (FL) has been considered as an appealing framework to tackle data privacy issues of mobile devices compared to conventional Machine Learning (ML). Using Edge Ser…

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