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researcher

Zhi Yang

7 papers here

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

author position
  • first author2
  • middle author4
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cond-mat.mtrl-sci1
  • cond-mat.str-el1
  • cs.CV1
  • math.PR1
ORCID 0000-0002-0871-5882
same name
  • Zhi Yang — 59 papers, h 18
  • Zhi Yang — 11 papers, h 20
  • Zhi Yang — 9 papers, h 13
  • Zhi Yang — 6 papers
  • Zhi Yang — 6 papers
  • Zhi Yang — 3 papers, h 7

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 citedHET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework

57 citations · 59 across the 7 of their papers we have counts for

collaborators

4 papers

math.PR2022

On the uniqueness result for the BSDE with continuous coefficient

Yufeng Shi, Zhi Yang

In this paper, we study one-dimensional backward stochastic differential equation (BSDE, for short), whose coefficient f is Lipschitz in y but only continuous in z. In additi…

cs.CV2022★ 1 cited

Unified Normalization for Accelerating and Stabilizing Transformers

Qiming Yang, Kai Zhang, Chaoxiang Lan +5

Solid results from Transformers have made them prevailing architectures in various natural language and vision tasks. As a default component in Transformers, Layer Normalization (L…

cs.LG2022

A Safe Semi-supervised Graph Convolution Network

Zhi Yang, Yadong Yan, Haitao Gan +2

In the semi-supervised learning field, Graph Convolution Network (GCN), as a variant model of GNN, has achieved promising results for non-Euclidean data by introducing convolution…

cs.LG2021★ 57 cited

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework

Xupeng Miao, Hailin Zhang, Yining Shi +4

Embedding models have been an effective learning paradigm for high-dimensional data. However, one open issue of embedding models is that their representations (latent factors) ofte…

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