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Yang Cao

University of Science and Technology of China

36 papers hereh-index 5212.4k citations502 works total

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

author position
  • first author5
  • middle author19
  • last author10

Across the 34 of 36 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.CR3
  • cs.DC3
  • cond-mat.soft2
  • cond-mat.mes-hall1
  • cs.AI1
affiliations
  • University of Science and Technology of China
same name
  • Yang Cao — 24 papers, h 20
  • Yang Cao — 18 papers, h 10
  • Yang Cao — 17 papers, h 7
  • Yang Cao — 17 papers, h 8
  • Yang Cao — 13 papers, h 13
  • Yang Cao — 13 papers, h 22

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
20112025
most citedEnhanced-alignment Measure for Binary Foreground Map Evaluation

130 citations · 370 across the 36 of their papers we have counts for

collaborators
Showing 2019 · cs.DCShow all

3 papers · 2 filters

cs.DC2019

Scheduling and Trade-off Analysis for Multi-Source Multi-Processor Systems with Divisible Loads

Yang Cao, Fei Wu, Thomas Robertazzi

The main goal of parallel processing is to provide users with performance that is much better than that of single processor systems. The execution of jobs is scheduled, which requi…

cs.DC2019

Reinforcement Learning for Optimal Load Distribution Sequencing in Resource-Sharing System

Fei Wu, Yang Cao, Thomas Robertazzi

Divisible Load Theory (DLT) is a powerful tool for modeling divisible load problems in data-intensive systems. This paper studied an optimal divisible load distribution sequencing…

cs.DC2019★ 3 cited

Optimal Divisible Load Scheduling for Resource-Sharing Network

Fei Wu, Yang Cao, Thomas Robertazzi

Scheduling is an important task allowing parallel systems to perform efficiently and reliably. For modern computation systems, divisible load is a special type of data which can be…

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