[P6] Representing Time Series as Structured Programs for LLM Reasoning
Jaeho Kim*, Changjun Oh*, Seokhyun Lee, Irina Rish, Changhee Lee
preprint
[P5] Agentic Molecular Recovery via Molecule-Aware Exploration
Suwan Yoon, Changhee Lee
preprint
[P4] REBASE: Relational Basis Learning for Heterogeneous Multi-Source Tabular Data
Eungyeop Kim, Changhee Lee
preprint
[P3] Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics
Seongjun Lee, Changhee Lee
preprint
[P2] Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
Seongjun Lee*, Suwan Yoon*, Changhee Lee
preprint
[P1] TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization [Link]
Seokhyun Lee*, Jaeho Kim*, Changjun Oh, Mihaela van der Schaar, Changhee Lee
arxiv
[C23] Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets
Minyoung Hwang*, Seokhyun Lee*, Changhee Lee
KDD 2026
[C22] Position: AI Lock-In Is in Progress, and We Must Be Prepared
Jaeho Kim*, Seokhyun Lee*, Jieun Lee*, Changhee Lee
ICML 2026; Spotlight
[C21] INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification [Link]
Seongjun Lee*, Seokhyun Lee*, Changhee Lee
IJCAI 2026
[C20] TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions [Link]
Hwijin Kim, Jaeho Kim, Changhee Lee
ICLR 2026
[J31] Time-to-event Ensemble Machine Learning Approach for Predicting Long-term Survival of Abdominal Aortic Aneurysm Patients Undergoing Endovascular Aneurysm Repair
Hong-Jae Choi, Changhee Lee, Joon Seo Lim, You Jung Ok, Jae-Sung Choi, Jae Hwa Jeong, Yong Won Seong, Hyeon Jong Moon, Se Jin Oh
PLOS One 2026
[J30] Development of a Machine Learning-based Prediction Model: Identifying High-risk Households and Child Maltreatment Risk [Link]
Jane Jiyoun Lee, Changhee Lee
Children and Youth Services Review 2026
[J29] Deep Learning-based Natural Language Processing for Critical Care Identification in Pediatric Emergency Department
Jiyoung Agatha Kim*, Sangyeon Cho*, Minyoung Hwang, Dongjoon Lee, Jangyeong Jeon, Rhoan Lee, Changhee Lee, Junyeong Kim**, Woori Bae**
BMC Emergency Medicine 2026
[J28] Deep Language Model-based Early Recognition of Out-of-Hospital Cardiac Arrest from Real-Time Emergency Calls [Link]
Hong-Jae Choi*, Minyoung Hwang*, Sangyeon Cho, Hyunsoo Kim, Junyeong Kim, Woori Bae, Changhee Lee
npj Digital Medicine 2026; Impact Factor 15.1
[J27] FA-DeepMSM: A Few-shot Adapted Interpretable Multimodal Survival Model for Improved Prognostic Prediction in Glioblastoma [Link]
Minyoung Hwang, Junhyeok Lee, Sihyun Kim, Minchul Kim, Seung Hong Choi, Sung Soo Ahn, Changhee Lee**, Kyu Sung Choi**
Scientific Reports 2026
[J26] Development of a Long-term Survival Prediction Model for Patients Undergoing Invasive Coronary Angiography using Ensemble-based Machine Learning in Time-to-event Analysis [Link]
Hong-Jae Choi, Hyeryn Park, Dongjoon Lee, Changhee Lee, Hack-Lyoung Kim
Heart & Lung 2026
[C19] Stochastic Encodings for Active Feature Acquisition [Link]
Alexander Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio
ICML 2025
[J25] Risk Prediction of Major Adverse Cardiovascular Events Within One Year After Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome: Machine Learning Based Time-to-Event Analysis [Link]
Hong-Jae Choi, Changhee Lee, Hack-Lyoung Kim, Youn-Jung Son
JMIR Medical Informatics 2025
[J24] Enhancing Multi-Level Cross-Modal Interaction with False Negative-Aware Contrastive Learning for Text-Video Retrieval [Link]
Eungyeop Kim, Changhee Lee
Applied Intelligence 2025
[J23] Predicting Discharge Destination and Length of Stay after Open Reduction Internal Fixation of Distal Femur Fractures [Link]
Akash Shah, Brian Zukotynski, Chohee Kim, Brendan Shi, Changhee Lee, Sai Devana, Alexander Upfill-Brown, Erik Mayer, Nelson SooHoo, Christopher Lee
OTA International 2025
[J22] A Pediatric Emergency Prediction Model using Natural Language Process in the Pediatric Emergency Department [Link]
Arum Choi*, Chohee Kim*, Jangyeong Jeon, Sangyeon Cho, Dongjoon Lee, Junyeong Kim, Changhee Lee**, Woori Bae**
Scientific Reports 2025
[C18] Policy-based Word Subset Selection for Explaining Black-Box Language Models
Minyoung Hwang*, Seokhyun Lee*, Changhee Lee
ICTC 2025
[C17] Towards Speed-Agnostic Time-Series Forecasting for Proactive Handover
Junseo Lee*, Suwan Yoon*, Changhee Lee
ICTC 2025
[C16] Toward a Better Discrimination and Calibration via Survival Outcome-Aware Contrastive Learning [Link]
Dongjoon Lee*, Hyeryn Park*, Changhee Lee
NeurIPS 2024
[C15] Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies [Link]
Hyuntae Kim, Changhee Lee
CIKM 2024
[C14] Discovering Features with Synergistic Interactions in Multiple Views [Link]
Chohee Kim, Mihaela van der Schaar, Changhee Lee
ICML 2024
[C13] Conditional Information Bottleneck Approach for Time Series Imputation [Link]
Mingyu Choi, Changhee Lee
ICLR 2024
[J21] A Novel Machine Learning Model to Predict Revision ACL Reconstruction Failure in the MARS Cohort [Link]
MARS Group, Kinjal Vasavada, Vrinda Vasavada, Jay Moran, Sai Devana, Changhee Lee, et al.
Orthopaedic Journal of Sports Medicine 2024
[J20] BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR [Link]
Jangyeong Jeon, Sangyeon Cho, Dongjoon Lee, Changhee Lee, Junyeong Kim
IEEE Access 2024
[J19] Predicting Sleep Based on Physical Activity, Light Exposure, and Heart Rate Variability Data Using Wearable Devices [Link]
Kyung Mee Park, Sang Eun Lee, Changhee Lee, Hyun Duck Hwang, Do Hoon Yoon, Eunchae Choi, Eun Lee
Annals of Medicine 2024
[J18] DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models [Link]
Sangyeon Cho, Jangyeong Jeon, Dongjoon Lee, Changhee Lee, Junyeong Kim
IEEE Access 2024
[J17] Feature Selection with Group-Sparse Stochastic Gates [Link]
Hyeryn Park, Changhee Lee
IEEE Access 2024
[J16] Development of a Predictive Model for Survival over Time in Patients with Out-of-Hospital Cardiac Arrest using Ensemble-based Machine Learning [Link]
Hong-Jae Choi, Changhee Lee, JinHo Chun, Roma Seol, Yun Mi Lee, Youn-Jung Son
Computers, Informatics, Nursing 2024
[J15] Mobility Management Paradigm Shift: from Reactive to Proactive Handover using AI/ML [Link]
Hyeryn Park, Hyuntae Kim, Changhee Lee, Heesoo Lee
IEEE Network 2024
[J14] A Predictive Algorithm for Perioperative Complications and Readmission after Ankle Arthrodesis [Link]
Akash Shah, Sai Devana, Changhee Lee, Nelson SooHoo
European Journal of Orthopaedic Surgery and Traumatology 2024
[C12] Deep Survival Analysis from Whole Slide Images: A Multiple Instance Learning Approach [Link]
Minyoung Hwang, Dongjoon Lee, Changhee Lee
ICTC 2024
[C11] Time-series Anomaly Detection based on Imputation in the Latent Space [Link]
Hyuntae Kim, Changhee Lee
ICTC 2024
[C10] A Comprehensive Evaluation of Time-Series Forecasting Methods for Proactive Handover [Link]
Hyeryn Park, Eungyeop Kim, Changhee Lee
ICTC 2024; Best Paper Award
[C9] Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure [Link]
Yuchao Qin, Mihaela van der Schaar, Changhee Lee
NeurIPS 2023
[C8] Neural Stochastic Differential Games for Time-series Analysis [Link]
Sungwoo Park*, Byoungwoo Park*, Moontae Lee, Changhee Lee
ICML 2023
[C7] T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression [Link]
Yuchao Qin, Mihaela van der Schaar, Changhee Lee
AISTATS 2023
[J13] Development and External Validation of a Risk Calculator for Prediction of Major Complications and Readmission after Anterior Cervical Discectomy and Fusion [Link]
Akash Shah, Sai Devana, Changhee Lee, Thomas Olson, Alexander Upfill-Brown, William Sheppard, Elizabeth Lord, Arya Shamie, M. van der Schaar, N. SooHoo, Don Park
Spine 2023
[W3] Clinical Time Series Imputation using Conditional Information Bottleneck [Link]
Mingyu Choi, Changhee Lee
NeurIPS DGM4H Workshop 2023
[C6] Self-Supervision Enhanced Feature Selection with Correlated Gates [Link]
Changhee Lee*, Fergus Imrie*, Mihaela van der Schaar
ICLR 2022; Spotlight
[J12] Development and Clinical Utility of Machine Learning Algorithms for Dynamic Longitudinal Real-Time Estimation of Progression Risks in Active Surveillance of Early Prostate Cancer [Link]
Changhee Lee*, Alexander Light*, Evgeny S. Saveliev*, Mihaela van der Schaar, Vincent J. Gnanapragasam
npj Digital Medicine 2022; Impact Factor: 15.36
[J11] Machine Learning-Driven Identification of Novel Patient Factors for Prediction of Major Complications after Posterior Cervical Spinal Fusion [Link]
Akash Shah, Sai Devana, Changhee Lee, Amador Bugarin, Elizabeth Lord, Arya Shamie, Don Park, Mihaela van der Schaar, Nelson SooHoo
European Spine Journal 2022
[J10] A Risk Calculator for Prediction of C5 Nerve Root Palsy after Instrumented Cervical Fusion [Link]
Akash Shah, Sai Devana, Changhee Lee, Amador Bugarin, M. Hong, Alexander Upfill-Brown, Gideon Blumstein, Elizabeth Lord, Arya Shamie, Mihaela van der Schaar, Nelson SooHoo, Don Park
World Neurosurgery 2022
[J9] Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements [Link]
Sai Devana, Akash Shah, Changhee Lee, Andrew Jensen, Edward Cheung, Mihaela van der Schaar, Nelson SooHoo
Journal of Shoulder and Elbow Arthroplasty 2022
[J8] Prediction Of Good Sleep With Physical Activity and Light Exposure: A Preliminary Study [Link]
Kyung Mee Park, Sang Eun Lee, Changhee Lee, Hyun Duck Hwang, Do Hoon Yoon, Eunchae Choi, Eun Lee
Journal of Clinical Sleep Medicine 2022
[W2] Survey: Strategies for Loss-Based Discrete-Time Hazard and Survival Function Estimation [Link]
Changhee Lee, Chunghyun Lee, Taeyun Ha, Sungrae Cho
ICTC 2022
[C5] SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data [Link]
Alicia Curth*, Changhee Lee*, Mihaela van der Schaar
NeurIPS 2021
[C4] A Variational Information Bottleneck Approach to Multi-Omics Data Integration [Link]
Changhee Lee, Mihaela van der Schaar
AISTATS 2021; oral presentation
[J7] Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission following Reverse Total Shoulder Arthroplasty [Link]
Sai Devana, Akash Shah, Changhee Lee, Varun Gudapati, Andrew Jensen, Edward Cheung, Carlos Solorzano, Mihaela van der Schaar, Nelson SooHoo
Journal of Shoulder and Elbow Arthroplasty 2021
[J6] Outcome-Oriented Deep Temporal Phenotyping of Disease Progression [Link]
Changhee Lee, Jem Rashbass, Mihaela van der Schaar
IEEE Transactions on Biomedical Engineering 2021
[J5] A Novel, Potentially Universal Machine-Learning Algorithm to Predict Complications in Total Knee Arthroplasty [Link]
Sai Devana, Akash Shah, Changhee Lee, Andrew Roney, Mihaela van der Schaar, Nelson SooHoo
Arthroplasty Today 2021
[J4] Prediction of Major Complications and Readmission after Lumbar Spinal Fusion: A Machine Learning-Driven Approach [Link]
Akash Shah, Sai Devana, Changhee Lee, Amador Bugarin, Elizabeth Lord, Arya Shamie, Don Park, Mihaela van der Schaar, Nelson SooHoo
World Neurosurgery 2021
[J3] Development of a Novel, Potentially Universal Machine Learning Algorithm for Prediction of Complications After Total Hip Arthroplasty [Link]
Akash Shah, Sai Devana, Changhee Lee, Reza Kianian, Mihaela van der Schaar, Nelson SooHoo
The Journal of Arthroplasty 2021
[J2] Application of a Novel Machine Learning Framework for Predicting Cancer-Specific Mortality: Analysis of 171,942 Men with Non-Metastatic Prostate Cancer from the Surveillance, Epidemiology, and End Results Dataset [Link]
Changhee Lee*, Alexander Light*, Ahmed Alaa, David Thurtle, Mihaela van der Schaar, Vincent Gnanapragasam
The Lancet Digital Health 2021; Impact Factor: 36.62
[C3] Temporal Phenotyping using Deep Predictive Clustering of Disease Progression [Link]
Changhee Lee, Mihaela van der Schaar
ICML 2020
[J1] Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis with Competing Risks based on Longitudinal Data [Link]
Changhee Lee, Jinsung Yoon, Mihaela van der Schaar
IEEE Transactions on Biomedical Engineering 2020
[C2] Temporal Quilting for Survival Analysis [Link]
Changhee Lee, William Zame, Ahmed Alaa, Mihaela van der Schaar
AISTATS 2019
[C1] DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks [Link]
Changhee Lee, William Zame, Jinsung Yoon, Mihaela van der Schaar
AAAI 2018; Spotlight
[W1] Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning [Link]
Changhee Lee, Nicholas Mastronarde, Mihaela van der Schaar
NeurIPS ML4H Workshop 2018
* Equal contribution
** Equal contribution (corresponding authors)