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Haiyan Wang

4 papers hereh-index 227 citations5 works total

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

author position
  • sole author4

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

fields
  • q-bio.PE2
  • math.PR1
  • quant-ph1
same name
  • Haiyan Wang — 17 papers, h 16
  • Haiyan Wang — 13 papers, h 7
  • Haiyan Wang — 8 papers, h 26
  • Haiyan Wang — 8 papers, h 13
  • Haiyan Wang — 6 papers, h 6
  • Haiyan Wang — 4 papers, h 34

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
20232025
most citedA novel feature selection method based on quantum support vector machine

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

collaborators

4 papers

math.PR2025

Analysis of Discrete Stochastic Population Models with Normal Distribution

Haiyan Wang

This paper analyzes a stochastic logistic difference equation under the assumption that the population distribution follows a normal distribution. Our focus is on the mathematical…

q-bio.PE2024

Equilibrium Analysis of Discrete Stochastic Population Models with Gamma Distribution

Haiyan Wang

This paper analyzes the stationary distributions of populations governed by the discrete stochastic logistic and Ricker difference equations at equilibrium examines with the gamma…

q-bio.PE2024★ 1 cited

Gamma Distribution for Equilibrium Analysis of Discrete Stochastic Logistic Population Models

Haiyan Wang

Stochastic models play an essential role in accounting for the variability and unpredictability seen in real-world. This paper focuses on the application of the gamma distribution…

quant-ph2023★ 3 cited

A novel feature selection method based on quantum support vector machine

Haiyan Wang

Feature selection is critical in machine learning to reduce dimensionality and improve model accuracy and efficiency. The exponential growth in feature space dimensionality for mod…

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