2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.SI2021★ 1 cited
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
Haipeng Chen, Wei Qiu, Han-Ching Ou +2
The influence maximization (IM) problem aims at finding a subset of seed nodes in a social network that maximize the spread of influence. In this study, we focus on a sub-class of…
cs.LG2021★ 2 cited
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
Han-Ching Ou, Haipeng Chen, Shahin Jabbari +1
Active screening is a common approach in controlling the spread of recurring infectious diseases such as tuberculosis and influenza. In this approach, health workers periodically s…
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…