Li-Wei H. Lehman

54 papers A* 6B 1Misc 3Journal 14Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Creative style transfer for image stylization via learning neural permutation. Knowl. Based Syst. Shimin Li, Zedong Zhang, Gan Sun, Li-Wei H. Lehman, Jian Yang, Jun Li
2025	—	`conf`	Switching State Space Modeling via Constrained Inference for Clinical Outcome Prediction. MLHC Arnold Su, Anna Wong, Fareed Sheriff, Ardavan Saeedi, Li-Wei H. Lehman
2024	J	`jnl`	Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models. IEEE Trans. Biomed. Eng. Feng Wu, Guoshuai Zhao, Yuerong Zhou, Xueming Qian, Baedorf-Kassis Elias, Li-Wei H. Lehman
2024	—	`conf`	G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes. MLHC Hong Xiong, Feng Wu, Leon Deng, Megan Su, Li-Wei H. Lehman
2024	J	`jnl`	G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes. CoRR Hong Xiong, Feng Wu, Leon Deng, Megan Su, Li-Wei H. Lehman
2024	—	`conf`	Uncertainty Quantification for Conditional Treatment Effect Estimation under Dynamic Treatment Regimes. ML4H@NeurIPS Leon Deng, Hong Xiong, Feng Wu, Sanyam Kapoor, Soumya Gosh, Zach Shahn, Li-Wei H. Lehman
2023	A*	`conf`	A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. IJCAI Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman
2023	J	`jnl`	A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series. CoRR Anna Wong, Shu Ge, Nassim Oufattole, Adam Dejl, Megan Su, Ardavan Saeedi, Li-Wei H. Lehman
2023	—	`conf`	Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? CinC Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-Wei H. Lehman, Roger G. Mark
2023	A*	`conf`	VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors. NeurIPS Li-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari D. Clifford, Roger G. Mark
2022	—	`conf`	A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients. EMBC Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri
2022	—	`conf`	Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit. EMBC Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri
2022	A*	`conf`	Knowledge Distillation via Constrained Variational Inference. AAAI Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman
2022	—	`conf`	Optimal Fluid And Vasopressor Interventions In Septic ICU Patients Through Reinforcement Learning Model. CinC Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri
2022	—	`conf`	PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms. CinC Lucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom J. Pollard, Xavier Borrat Frigola, Qiao Li, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman
2022	—	`conf`	Physiologic Patients' Response to Fluid Administration in Intensive Care Unit. CinC Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri
2022	J	`jnl`	Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes. CoRR Adam Dejl, Harsh Deep, Jonathan Fei, Ardavan Saeedi, Li-Wei H. Lehman
2021	—	`conf`	Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular Dynamics. EMBC Maximiliano Mollura, Li-Wei H. Lehman, Riccardo Barbieri
2021	—	`conf`	G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. ML4H@NeurIPS Rui Li, Stephanie M. Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman
2021	J	`jnl`	Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification. CoRR Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-Wei H. Lehman
2020	—	`conf`	Assessment of Heart Rate Variability Derived From Blood Pressure Pulse Recordings in Intensive Care Unit Patients. CinC Maximiliano Mollura, Edoardo Maria Polo, Li-Wei H. Lehman, Riccardo Barbieri
2020	J	`jnl`	G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes. CoRR Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman
2020	Misc	`conf`	Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients. AMIA Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
2020	J	`jnl`	Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment. CoRR Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
2020	—	`conf`	Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs EMBC Maximiliano Mollura, Stefano Romano, Giulio Mantoan, Li-Wei H. Lehman, Riccardo Barbieri
2020	A*	`conf`	Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. AAAI Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman
2019	J	`jnl`	Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. CoRR Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez
2019	A*	`conf`	Retaining Privileged Information for Multi-Task Learning. KDD Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman
2018	J	`jnl`	A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series. IEEE J. Biomed. Health Informatics Li-Wei H. Lehman, Roger G. Mark, Shamim Nemati
2018	J	`jnl`	Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR 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, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez
2018	Misc	`conf`	Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. AMIA Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez
2018	J	`jnl`	Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. CoRR Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng
2018	—	`conf`	Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data. ICHI 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
2018	—	`conf`	Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics. MLHC Eric P. Lehman, Rahul G. Krishnan, Xiaopeng Zhao, Roger G. Mark, Li-Wei H. Lehman
2018	—	`conf`	The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit. EMBC Giovanni Angelotti, Pierandrea Morandini, Li-Wei H. Lehman, Roger G. Mark, Riccardo Barbieri
2018	—	`conf`	You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford
2017	—	`conf`	AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017. CinC Gari D. Clifford, Chengyu Liu, Benjamin Moody, Li-Wei H. Lehman, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark
2017	—	`conf`	Estimating patient's health state using latent structure inferred from clinical time series and text. BHI Aaron Zalewski, William J. Long, Alistair E. W. Johnson, Roger G. Mark, Li-Wei H. Lehman
2017	—	`conf`	Phenotyping hypotensive patients in critical care using hospital discharge summaries. BHI Yang Dai, Sharukh Lokhandwala, William J. Long, Roger G. Mark, Li-Wei H. Lehman
2015	J	`jnl`	A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. IEEE J. Biomed. Health Informatics Li-Wei H. Lehman, Ryan P. Adams, Louis Mayaud, George B. Moody, Atul Malhotra, Roger G. Mark, Shamim Nemati
2015	—	`conf`	Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series. CinC Li-Wei H. Lehman, Shamim Nemati, Roger G. Mark
2015	—	`conf`	Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. CinC Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati
2014	—	`conf`	Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. CinC Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati
2014	—	`conf`	Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort. EMBC Li-Wei H. Lehman, William J. Long, Mohammed Saeed, Roger G. Mark
2014	—	`conf`	Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care. CinC Li-Wei H. Lehman, Shamim Nemati, George B. Moody, Thomas Heldt, Roger G. Mark
2013	—	`conf`	Learning outcome-discriminative dynamics in multivariate physiological cohort time series. EMBC Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams
2013	—	`conf`	Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. EMBC Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, George B. Moody, Atul Malhotra, Roger G. Mark
2012	—	`conf`	Discovering shared cardiovascular dynamics within a patient cohort. EMBC Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams, Atul Malhotra
2012	—	`conf`	Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. EMBC Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, Roger G. Mark
2012	Misc	`conf`	Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes. AMIA Li-Wei H. Lehman, Mohammed Saeed, William J. Long, Joon Lee, Roger G. Mark
2008	J	`jnl`	Automated de-identification of free-text medical records. BMC Medical Informatics Decis. Mak. 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
2006	—	`conf`	A Decentralized Network Coordinate System for Robust Internet Distance. ITNG Li-Wei H. Lehman, Steven Lerman
2004	B	`conf`	PCoord: Network Position Estimation Using Peer-to-Peer Measurements. NCA Li-Wei H. Lehman, Steven Lerman
1998	A*	`conf`	Active Reliable Multicast. INFOCOM Li-Wei H. Lehman, Stephen J. Garland, David L. Tennenhouse