Xinyu Zhang

College of Sciences

Works (2)

Updated: April 5th, 2024 18:58

2021 article

Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control

KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, pp. 1634–1644.

By: R. Wan n, X. Zhang n & R. Song n 

author keywords: infectious disease control; COVID-19; sequential decision making
topics (OpenAlex): COVID-19 epidemiological studies; Influenza Virus Research Studies; Animal Disease Management and Epidemiology
TL;DR: A Multi-Objective Model-based Reinforcement Learning framework to facilitate data-driven decision-making and minimize the overall long-term cost is proposed and provides a real-time decision support tool for policymakers. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 14, 2022

2020 journal article

A change-point detection and clustering method in the recurrent-event context

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 90(6), 1131–1149.

By: Q. Li *, K. Yao* & X. Zhang n

author keywords: K-means; maximum likelihood estimate; non-homogeneous Poisson process; parametric bootstrap; piecewise-constant intensity
topics (OpenAlex): Advanced Clustering Algorithms Research; Bayesian Methods and Mixture Models; Data-Driven Disease Surveillance
TL;DR: A new algorithm to detect the change-points of the intensity rates and identify clusters of objects with recurrent events based on K-means algorithm is developed and applied to the UK coal mining disaster data to show its possible role in shaping government regulations and improving coal industry safety. (via Semantic Scholar)
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Source: Web Of Science
Added: February 17, 2020

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