| 2023 | IJCAI | A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. | Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman |
| 2022 | AAAI | Knowledge Distillation via Constrained Variational Inference. | Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman |
| 2020 | AAAI | Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. | Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman |
| 2020 | AMIA | Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients. | Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman |
| 2019 | KDD | Retaining Privileged Information for Multi-Task Learning. | Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman |
| 2018 | AMIA | Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. | Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez |
| 2012 | AMIA | Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes. | Li-Wei H. Lehman, Mohammed Saeed, William J. Long, Joon Lee, Roger G. Mark |
| 2004 | NCA | PCoord: Network Position Estimation Using Peer-to-Peer Measurements. | Li-Wei H. Lehman, Steven Lerman |
| 1998 | INFOCOM | Active Reliable Multicast. | Li-Wei H. Lehman, Stephen J. Garland, David L. Tennenhouse |