| 2026 | AAAI | Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining. | Bingxuan Li, Pengyi Shi, Amy R. Ward |
| 2024 | AAAI | Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management. | Bingxuan Li, Antonio Castellanos, Pengyi Shi, Amy R. Ward |
| 2024 | AAAI | Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow. | Tianchun Li, Chengxiang Wu, Pengyi Shi, Xiaoqian Wang |
| 2024 | AISTATS | Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning. | Taeuk Jang, Hongchang Gao, Pengyi Shi, Xiaoqian Wang |
| 2024 | WSC | Patient Assignment and Prioritization for Multi-Stage Care with Reentrance. | Wei Liu, Mengshi Lu, Pengyi Shi |
| 2022 | AAAI | Group-Aware Threshold Adaptation for Fair Classification. | Taeuk Jang, Pengyi Shi, Xiaoqian Wang |
| 2021 | ICAART | Robustness-driven Exploration with Probabilistic Metric Temporal Logic. | Xiaotian Liu, Pengyi Shi, Tongtong Liu, Sarra M. Alqahtani, Pal Pauca, Miles R. Silman |
| 2021 | WSC | A Simulation Analysis of Analytics-Driven Community-Based Re-Integration Programs. | Iman Attari, Jonathan E. Helm, Parker A. Crain, Pengyi Shi, Nicole Adams |
| 2021 | WSC | 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 |