Pengyi Shi

According to our database, Pengyi Shi authored at least 26 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining.

Bingxuan Li, Pengyi Shi, Amy R. Ward

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, Todd Hucshka

Manuf. Serv. Oper. Manag., 2025

Optimal Routing Under Demand Surges: The Value of Future Arrival Rates.

Jinsheng Chen, Jing Dong, Pengyi Shi

Oper. Res., 2025

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

Latent Feature Mining for Predictive Model Enhancement with Large Language Models.

Bingxuan Li, Pengyi Shi, Amy R. Ward

CoRR, 2024

Patient Assignment and Prioritization for Multi-Stage Care with Reentrance.

Wei Liu, Mengshi Lu, Pengyi Shi

Proceedings of the Winter Simulation Conference, 2024

Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning.

Taeuk Jang, Hongchang Gao, Pengyi Shi, Xiaoqian Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow.

Tianchun Li, Chengxiang Wu, Pengyi Shi, Xiaoqian Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management.

Bingxuan Li, Antonio Castellanos, Pengyi Shi, Amy R. Ward

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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., December, 2023

2022

A Constrained Bandit Approach for Online Dispatching.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

SIGMETRICS Perform. Evaluation Rev., 2022

Data-pooling Reinforcement Learning for Personalized Healthcare Intervention.

Xinyun Chen, Pengyi Shi, Shanwen Pu

CoRR, 2022

Routing for Fairness and Efficiency in a Queueing Model with Reentry and Continuous Customer Classes.

Zhiqiang Zhang, Pengyi Shi, Amy R. Ward

Proceedings of the American Control Conference, 2022

Group-Aware Threshold Adaptation for Fair Classification.

Taeuk Jang, Pengyi Shi, Xiaoqian Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

CoRR, 2021

A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations.

Yihan Pan, Zhenghang Xu, Jin Guang, Xinyun Chen, Jian Gang Dai, Chengwenjian Wang, Xuanming Zhang, Jingjing Sun, Pengyi Shi, Yichuan Ding, Song Wu, Kai Yang, Hongxin Pan

Proceedings of the Winter Simulation Conference, 2021

A Simulation Analysis of Analytics-Driven Community-Based Re-Integration Programs.

Iman Attari, Jonathan E. Helm, Parker A. Crain, Pengyi Shi, Nicole Adams

Proceedings of the Winter Simulation Conference, 2021

An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robustness-driven Exploration with Probabilistic Metric Temporal Logic.

Xiaotian Liu, Pengyi Shi, Tongtong Liu, Sarra M. Alqahtani, Paúl Pauca, Miles R. Silman

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

A survey on skill-based routing with applications to service operations management.

Jinsheng Chen, Jing Dong, Pengyi Shi

Queueing Syst. Theory Appl., 2020

POND: Pessimistic-Optimistic oNline Dispatch.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

CoRR, 2020

2019

Inpatient Overflow: An Approximate Dynamic Programming Approach.

Jian Gang Dai, Pengyi Shi

Manuf. Serv. Oper. Manag., 2019

Robustness-Driven Exploration with Probabilistic Metric Temporal Logic.

Xiaotian Liu, Pengyi Shi, Sarra M. Alqahtani, Victor Paúl Pauca, Miles R. Silman

CoRR, 2019

2017

A Two-Time-Scale Approach to Time-Varying Queues in Hospital Inpatient Flow Management.

Jian Gang Dai, Pengyi Shi

Oper. Res., 2017

2016

Models and Insights for Hospital Inpatient Operations: Time-Dependent ED Boarding Time.

Pengyi Shi, Mabel C. Chou, Jian Gang Dai, Ding Ding, Joe Sim

Manag. Sci., 2016