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researcher

S. Yao

4 papers hereh-index 6304 citations11 works total

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

author position
  • sole author1
  • first author2
  • middle author1

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

fields
  • cs.LG3
  • cs.RO1
same name
  • S. Yao — 38 papers, h 15
  • S. Yao — 15 papers, h 25
  • S. Yao — 12 papers, h 5
  • S. Yao — 4 papers, h 12
  • S. Yao — 3 papers, h 7
  • S. Yao — 3 papers, h 13

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 citedEnhancing Domain Word Embedding via Latent Semantic Imputation

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023★ 1 cited

Efficient RRT*-based Safety-Constrained Motion Planning for Continuum Robots in Dynamic Environments

Peiyu Luo, Shilong Yao, Yiyao Yue +3

Continuum robots, characterized by their high flexibility and infinite degrees of freedom (DoFs), have gained prominence in applications such as minimally invasive surgery and haza…

cs.LG2023

Neural Network Pruning as Spectrum Preserving Process

Shibo Yao, Dantong Yu, Ioannis Koutis

Neural networks have achieved remarkable performance in various application domains. Nevertheless, a large number of weights in pre-trained deep neural networks prohibit them from…

cs.LG2023

Graph Enabled Cross-Domain Knowledge Transfer

Shibo Yao

To leverage machine learning in any decision-making process, one must convert the given knowledge (for example, natural language, unstructured text) into representation vectors tha…

cs.LG2019★ 4 cited

Enhancing Domain Word Embedding via Latent Semantic Imputation

Shibo Yao, Dantong Yu, Keli Xiao

We present a novel method named Latent Semantic Imputation (LSI) to transfer external knowledge into semantic space for enhancing word embedding. The method integrates graph theory…

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