Active Reliable Multicast. - Li-Wei H. Lehman; Stephen J. Garland; David L. Tennenhouse (INFOCOM, 1998)

PCoord: Network Position Estimation Using Peer-to-Peer Measurements. - Li-Wei H. Lehman; Steven Lerman (NCA, 2004)

A Decentralized Network Coordinate System for Robust Internet Distance. - Li-Wei H. Lehman; Steven Lerman (ITNG, 2006)

Automated de-identification of free-text medical records. - Ishna Neamatullah; Margaret M. Douglass; Li-Wei H. Lehman; Andrew T. Reisner; Mauricio Villarroel; William J. Long; Peter Szolovits; George B. Moody; Roger G. Mark; Gari D. Clifford (BMC Medical Informatics Decis. Mak., 2008)

Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes. - Li-Wei H. Lehman; Mohammed Saeed 001; William J. Long; Joon Lee; Roger G. Mark (AMIA, 2012)

Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. - Li-Wei H. Lehman; Shamim Nemati; Ryan P. Adams; Roger G. Mark (EMBC, 2012)

Discovering shared cardiovascular dynamics within a patient cohort. - Shamim Nemati; Li-Wei H. Lehman; Ryan P. Adams; Atul Malhotra (EMBC, 2012)

Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. - Li-Wei H. Lehman; Shamim Nemati; Ryan P. Adams; George B. Moody; Atul Malhotra; Roger G. Mark (EMBC, 2013)

Learning outcome-discriminative dynamics in multivariate physiological cohort time series. - Shamim Nemati; Li-Wei H. Lehman; Ryan P. Adams (EMBC, 2013)

Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. - Mohammad M. Ghassemi; Li-Wei H. Lehman; Jasper Snoek; Shamim Nemati (CinC, 2014)

Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care. - Li-Wei H. Lehman; Shamim Nemati; George B. Moody; Thomas Heldt; Roger G. Mark (CinC, 2014)

Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort. - Li-Wei H. Lehman; William J. Long; Mohammed Saeed 001; Roger G. Mark (EMBC, 2014)

Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. - Li-Wei H. Lehman; Mohammad M. Ghassemi; Jasper Snoek; Shamim Nemati (CinC, 2015)

Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series. - Li-Wei H. Lehman; Shamim Nemati; Roger G. Mark (CinC, 2015)

A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. - Li-Wei H. Lehman; Ryan P. Adams; Louis Mayaud; George B. Moody; Atul Malhotra; Roger G. Mark; Shamim Nemati (IEEE J. Biomed. Health Informatics, 2015)

Phenotyping hypotensive patients in critical care using hospital discharge summaries. - Yang Dai; Sharukh Lokhandwala; William J. Long; Roger G. Mark; Li-Wei H. Lehman (BHI, 2017)

Estimating patient's health state using latent structure inferred from clinical time series and text. - Aaron Zalewski; William J. Long; Alistair E. W. Johnson; Roger G. Mark; Li-Wei H. Lehman (BHI, 2017)

AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. - Gari D. Clifford; Chengyu Liu 001; Benjamin Moody; Li-Wei H. Lehman; Ikaro Silva; Qiao Li 011; Alistair E. W. Johnson; Roger G. Mark (CinC, 2017)

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 (AMIA, 2018)

You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. - Mohammad M. Ghassemi; Benjamin Moody; Li-Wei H. Lehman; Christopher Song; Qiao Li 011; Haoqi Sun; M. Brandon Westover; Gari D. Clifford (CinC, 2018)

The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit. - Giovanni Angelotti; Pierandrea Morandini; Li-Wei H. Lehman; Roger G. Mark; Riccardo Barbieri (EMBC, 2018)

Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data. - Oliver Ren; Alistair E. W. Johnson; Eric P. Lehman; Matthieu Komorowski; Jerome Aboab; Fengyi Tang; Zach Shahn; Daby Sow; Roger G. Mark; Li-Wei H. Lehman (ICHI, 2018)

Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics. - Eric P. Lehman; Rahul G. Krishnan; Xiaopeng Zhao; Roger G. Mark; Li-Wei H. Lehman (MLHC, 2018)

Evaluating Reinforcement Learning Algorithms in Observational Health Settings. - Omer Gottesman; Fredrik D. Johansson; Joshua Meier; Jack Dent; Donghun Lee; Srivatsan Srinivasan; Linying Zhang; Yi Ding; David Wihl; Xuefeng Peng; Jiayu Yao; Isaac Lage; et al. (CoRR, 2018)

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. - Uma M. Girkar; Ryo Uchimido; Li-Wei H. Lehman; Peter Szolovits; Leo A. Celi; Wei-Hung Weng (CoRR, 2018)

A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series. - Li-Wei H. Lehman; Roger G. Mark; Shamim Nemati (IEEE J. Biomed. Health Informatics, 2018)

Retaining Privileged Information for Multi-Task Learning. - Fengyi Tang; Cao Xiao; Fei Wang 001; Jiayu Zhou; Li-Wei H. Lehman (KDD, 2019)

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. - Jun Li 027; Gan Sun; Guoshuai Zhao; Li-Wei H. Lehman (AAAI, 2020)

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 (AMIA, 2020)

Assessment of Heart Rate Variability Derived From Blood Pressure Pulse Recordings in Intensive Care Unit Patients. - Maximiliano Mollura; Edoardo Maria Polo; Li-Wei H. Lehman; Riccardo Barbieri (CinC, 2020)

Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs*. - Maximiliano Mollura; Stefano Romano; Giulio Mantoan; Li-Wei H. Lehman; Riccardo Barbieri (EMBC, 2020)

G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. - Rui Li; Zach Shahn; Jun Li 027; Mingyu Lu; Prithwish Chakraborty; Daby Sow; Mohamed F. Ghalwash; Li-Wei H. Lehman (CoRR, 2020)

Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment. - Mingyu Lu; Zachary Shahn; Daby Sow; Finale Doshi-Velez; Li-Wei H. Lehman (CoRR, 2020)

Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular Dynamics. - Maximiliano Mollura; Li-Wei H. Lehman; Riccardo Barbieri (EMBC, 2021)

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. - Rui Li; Stephanie M. Hu; Mingyu Lu; Yuria Utsumi; Prithwish Chakraborty; Daby M. Sow; Piyush Madan; Jun Li 027; Mohamed F. Ghalwash; Zach Shahn; Li-Wei H. Lehman (ML4H@NeurIPS, 2021)

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification. - Ziyu Jia; Youfang Lin; Jing Wang 060; Xiaojun Ning 001; Yuanlai He; Ronghao Zhou; Yuhan Zhou; Li-Wei H. Lehman (CoRR, 2021)

Knowledge Distillation via Constrained Variational Inference. - Ardavan Saeedi; Yuria Utsumi; Li Sun 010; Kayhan Batmanghelich; Li-Wei H. Lehman (AAAI, 2022)

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms. - Lucas McCullum; Hasan Saeed; Benjamin Moody; Diane Perry; Eric Gottlieb; Tom J. Pollard; Xavier Borrat Frigola; Qiao Li 011; Gari D. Clifford; Roger G. Mark; Li-Wei H. Lehman (CinC, 2022)

Optimal Fluid And Vasopressor Interventions In Septic ICU Patients Through Reinforcement Learning Model. - Maximiliano Mollura; Cristian Drudi; Li-Wei H. Lehman; Riccardo Barbieri (CinC, 2022)

Physiologic Patients' Response to Fluid Administration in Intensive Care Unit. - Maximiliano Mollura; Claudia Salerni; Li-Wei H. Lehman; Riccardo Barbieri (CinC, 2022)

A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients. - Maximiliano Mollura; Cristian Drudi; Li-Wei H. Lehman; Riccardo Barbieri (EMBC, 2022)

Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit. - Maximiliano Mollura; Claudia Salerni; Li-Wei H. Lehman; Riccardo Barbieri (EMBC, 2022)

Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes. - Adam Dejl; Harsh Deep; Jonathan Fei; Ardavan Saeedi; Li-Wei H. Lehman (CoRR, 2022)

Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? - Stephanie M. Hu; Steven Horng; Seth J. Berkowitz; Ruizhi Liao 001; Rahul G. Krishnan; Li-Wei H. Lehman; Roger G. Mark (CinC, 2023)

A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. - Feng Wu; Guoshuai Zhao; Xueming Qian; Li-Wei H. Lehman (IJCAI, 2023)

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors. - Li-Wei H. Lehman; Benjamin Moody; Harsh Deep; Feng Wu; Hasan Saeed; Lucas McCullum; Diane Perry; Tristan Struja; Qiao Li 011; Gari D. Clifford; Roger G. Mark (NeurIPS, 2023)

A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series. - Anna Wong; Shu Ge; Nassim Oufattole; Adam Dejl; Megan Su; Ardavan Saeedi; Li-Wei H. Lehman (CoRR, 2023)

Uncertainty Quantification for Conditional Treatment Effect Estimation under Dynamic Treatment Regimes. - Leon Deng; Hong Xiong; Feng Wu; Sanyam Kapoor; Soumya Gosh; Zach Shahn; Li-Wei H. Lehman (ML4H@NeurIPS, 2024)

G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes. - Hong Xiong; Feng Wu; Leon Deng; Megan Su; Li-Wei H. Lehman (MLHC, 2024)

Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models. - Feng Wu; Guoshuai Zhao; Yuerong Zhou; Xueming Qian; Baedorf-Kassis Elias; Li-Wei H. Lehman (IEEE Trans. Biomed. Eng., 2024)