activity
20192024
most citedWho and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty

2 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2024★ 2 cited

State Discretization for Continuous-State MDPs in Infectious Disease Control

Suyanpeng Zhang, Sze-chuan Suen

Repeated decision-making problems under uncertainty may arise in the health policy context, such as infectious disease control for COVID-19 and other epidemics. These problems may…

math.OC2024

Optimizing Vaccine Site Locations While Considering Travel Inconvenience and Public Health Outcomes

Suyanpeng Zhang, Sze-chuan Suen, Han Yu +2

During the COVID-19 pandemic, there were over three million infections in Los Angeles County (LAC). To facilitate distribution when vaccines first became available, LAC set up six…

math.OC2024

Extending Dynamic Origin-Destination Estimation to Understand Traffic Patterns During COVID-19

Han Yu, Suyanpeng Zhang, Sze-chuan Suen +2

Estimating dynamic Origin-Destination (OD) traffic flow is crucial for understanding traffic patterns and the traffic network. While dynamic origin-destination estimation (DODE) ha…

cs.LG2021★ 2 cited

RIFLE: Imputation and Robust Inference from Low Order Marginals

Sina Baharlouei, Kelechi Ogudu, Sze-chuan Suen +1

The ubiquity of missing values in real-world datasets poses a challenge for statistical inference and can prevent similar datasets from being analyzed in the same study, precluding…

cs.LG2021

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling

Kai Wang, Bryan Wilder, Sze-chuan Suen +2

There is significant interest in learning and optimizing a complex system composed of multiple sub-components, where these components may be agents or autonomous sensors. Among the…

q-bio.QM2019★ 2 cited

Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty

Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen +2

Controlling recurrent infectious diseases is a vital yet complicated problem. In this paper, we propose a novel active screening model (ACTS) and algorithms to facilitate active sc…