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Hong Zhao

4 papers hereh-index 211.2k citations56 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.AI3
  • cs.LG1
same name
  • Hong Zhao — 34 papers, h 23
  • Hong Zhao — 8 papers, h 7
  • Hong Zhao — 5 papers, h 4
  • Hong Zhao — 4 papers, h 19
  • Hong Zhao — 4 papers, h 1
  • Hong Zhao — 4 papers, h 2

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 citedRough matroids based on coverings

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2013★ 2 cited

Rough matroids based on coverings

Bin Yang, Hong Zhao, William Zhu

The introduction of covering-based rough sets has made a substantial contribution to the classical rough sets. However, many vital problems in rough sets, including attribution red…

cs.LG2012

Cost-Sensitive Feature Selection of Data with Errors

Hong Zhao, Fan Min, William Zhu

In data mining applications, feature selection is an essential process since it reduces a model's complexity. The cost of obtaining the feature values must be taken into considerat…

cs.AI2012

Minimal cost feature selection of data with normal distribution measurement errors

Hong Zhao, Fan Min, William Zhu

Minimal cost feature selection is devoted to obtain a trade-off between test costs and misclassification costs. This issue has been addressed recently on nominal data. In this pape…

cs.AI2012★ 1 cited

Test-cost-sensitive attribute reduction of data with normal distribution measurement errors

Hong Zhao, Fan Min, William Zhu

The measurement error with normal distribution is universal in applications. Generally, smaller measurement error requires better instrument and higher test cost. In decision makin…

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