Models and Insights for Hospital Inpatient Operations: Time-Dependent ED Boarding Time. - Pengyi Shi; Mabel C. Chou; Jiangang Dai; Ding Ding; Joe Sim (Manag. Sci., 2016)

A Two-Time-Scale Approach to Time-Varying Queues in Hospital Inpatient Flow Management. - Jiangang Dai; Pengyi Shi (Oper. Res., 2017)

Robustness-Driven Exploration with Probabilistic Metric Temporal Logic. - Xiaotian Liu; Pengyi Shi; Sarra M. Alqahtani; Victor Paúl Pauca; Miles R. Silman (CoRR, 2019)

Inpatient Overflow: An Approximate Dynamic Programming Approach. - Jiangang Dai; Pengyi Shi (Manuf. Serv. Oper. Manag., 2019)

POND: Pessimistic-Optimistic oNline Dispatch. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (CoRR, 2020)

A survey on skill-based routing with applications to service operations management. - Jinsheng Chen; Jing Dong 007; Pengyi Shi (Queueing Syst. Theory Appl., 2020)

Robustness-driven Exploration with Probabilistic Metric Temporal Logic. - Xiaotian Liu; Pengyi Shi; Tongtong Liu 001; Sarra M. Alqahtani; Paúl Pauca; Miles R. Silman (ICAART (2), 2021)

An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (NeurIPS, 2021)

A Simulation Analysis of Analytics-Driven Community-Based Re-Integration Programs. - Iman Attari; Jonathan E. Helm; Parker A. Crain; Pengyi Shi; Nicole Adams (WSC, 2021)

A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations. - Yihan Pan; Zhenghang Xu; Jin Guang; Xinyun Chen; Jim G. Dai; Chengwenjian Wang; Xuanming Zhang; Jingjing Sun; Pengyi Shi; Yichuan Ding; Song Wu; Kai Yang; et al. (WSC, 2021)

An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (CoRR, 2021)

Timing It Right: Balancing Inpatient Congestion vs. Readmission Risk at Discharge. - Pengyi Shi; Jonathan E. Helm; Jivan Deglise-Hawkinson; Julian Pan (Oper. Res., 2021)

Group-Aware Threshold Adaptation for Fair Classification. - Taeuk Jang; Pengyi Shi; Xiaoqian Wang 001 (AAAI, 2022)

Routing for Fairness and Efficiency in a Queueing Model with Reentry and Continuous Customer Classes. - Zhiqiang Zhang; Pengyi Shi; Amy R. Ward (ACC, 2022)

Data-pooling Reinforcement Learning for Personalized Healthcare Intervention. - Xinyun Chen; Pengyi Shi; Shanwen Pu (CoRR, 2022)

A Constrained Bandit Approach for Online Dispatching. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (SIGMETRICS Perform. Evaluation Rev., 2022)

Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach. - Xiaoquan Gao; Sabriya Alam; Pengyi Shi; Franklin Dexter; Nan Kong (BMC Medical Informatics Decis. Mak., 2023)

Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management. - Bingxuan Li; Antonio Castellanos; Pengyi Shi; Amy R. Ward (AAAI, 2024)

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow. - Tianchun Li; Chengxiang Wu; Pengyi Shi; Xiaoqian Wang 001 (AAAI, 2024)

Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning. - Taeuk Jang; Hongchang Gao; Pengyi Shi; Xiaoqian Wang 001 (AISTATS, 2024)

Patient Assignment and Prioritization for Multi-Stage Care with Reentrance. - Wei Liu; Mengshi Lu; Pengyi Shi (WSC, 2024)

Latent Feature Mining for Predictive Model Enhancement with Large Language Models. - Bingxuan Li; Pengyi Shi; Amy R. Ward (CoRR, 2024)

Delta Coverage: The Analytics Journey to Implement a Novel Nurse Deployment Program. - Jonathan E. Helm; Pengyi Shi; Mary Drewes; Jacob Cecil (INFORMS J. Appl. Anal., 2024)

Optimal Routing Under Demand Surges: The Value of Future Arrival Rates. - Jinsheng Chen; Jing Dong 007; Pengyi Shi (Oper. Res., 2025)

An Integrated Approach to Improving Itinerary Completion in Coordinated Care Networks. - Yiqiu Liu; Pengyi Shi; Jonathan E. Helm; Mark P. Van Oyen; Lei Ying 001; Todd Hucshka (Manuf. Serv. Oper. Manag., 2025)