17 citations · 29 across the 9 of their papers we have counts for
9 papers
Inpatient Overflow Management with Proximal Policy Optimization
Jingjing Sun, Jim Dai, Pengyi Shi
Problem Definition: Managing inpatient flow in large hospital systems is challenging due to the complexity of assigning randomly arriving patients -- either waiting for primary uni…
Data-pooling Reinforcement Learning for Personalized Healthcare Intervention
Xinyun Chen, Pengyi Shi, Shanwen Pu
Motivated by the emerging needs of personalized preventative intervention in many healthcare applications, we consider a multi-stage, dynamic decision-making problem in the online…
Group-Aware Threshold Adaptation for Fair Classification
Taeuk Jang, Pengyi Shi, Xiaoqian Wang
The fairness in machine learning is getting increasing attention, as its applications in different fields continue to expand and diversify. To mitigate the discriminated model beha…
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations
Yihan Pan, Zhenghang Xu, Jin Guang +10
We collaborate with a large teaching hospital in Shenzhen, China and build a high-fidelity simulation model for its ultrasound center to predict key performance metrics, including…
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu, Bin Li, Pengyi Shi +1
This paper considers stochastic linear bandits with general nonlinear constraints. The objective is to maximize the expected cumulative reward over horizon subject to a set of…
POND: Pessimistic-Optimistic oNline Dispatching
Xin Liu, Bin Li, Pengyi Shi +1
This paper considers constrained online dispatching with unknown arrival, reward and constraint distributions. We propose a novel online dispatching algorithm, named POND, standing…
Robustness-Driven Exploration with Probabilistic Metric Temporal Logic
Xiaotian Liu, Pengyi Shi, Sarra Alqahtani +2
The ability to perform autonomous exploration is essential for unmanned aerial vehicles (UAV) operating in unstructured or unknown environments where it is hard or even impossible…
Steady-state Diffusion Approximations for Discrete-time Queue in Hospital Inpatient Flow Management
Jiekun Feng, Pengyi Shi
In this paper, we analyze a discrete-time queue that is motivated from studying hospital inpatient flow management, where the customer count process captures the midnight inpatient…
Technical Note for Discrete-Time Diffusion Approximations Motivated from Hospital Inpatient Flow Management
J. G. Dai, Pengyi Shi
This note details the development of a discrete-time diffusion process to approximate the midnight customer count process in a s…