Public Health Surveillance Using Global Health Explorer. - Jamie P. McCusker; Jeongmin Lee 001; Chavon Thomas; Deborah L. McGuinness (SATBI+SWIM, 2012)

Towards Next Generation Health Data Exploration: A Data Cube-Based Investigation into Population Statistics for Tobacco. - Jamie P. McCusker; Deborah L. McGuinness; Jeongmin Lee 001; Chavon Thomas; Paul Courtney; Zaria Tatalovich; Noshir S. Contractor; Glen D. Morgan; Abdul R. Shaikh (HICSS, 2013)

Recent Context-Aware LSTM for Clinical Event Time-Series Prediction. - Jeongmin Lee 001; Milos Hauskrecht (AIME, 2019)

Multi-scale Temporal Memory for Clinical Event Time-Series Prediction. - Jeongmin Lee 001; Milos Hauskrecht (AIME, 2020)

Clinical Event Time-Series Modeling with Periodic Events. - Jeongmin Lee 001; Milos Hauskrecht (FLAIRS, 2020)

Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning. - Jeongmin Lee 001; Milos Hauskrecht (AIME, 2021)

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Jeongmin Lee 001; Ronay Ak; Even Oldridge (RecSys, 2021)

Modeling multivariate clinical event time-series with recurrent temporal mechanisms. - Jeongmin Lee 001; Milos Hauskrecht (Artif. Intell. Medicine, 2021)

Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts. - Jeongmin Lee 001; Milos Hauskrecht (AIME, 2022)

Learning to Adapt Clinical Sequences with Residual Mixture of Experts. - Jeongmin Lee 001; Milos Hauskrecht (CoRR, 2022)

Personalized event prediction for Electronic Health Records. - Jeongmin Lee 001; Milos Hauskrecht (Artif. Intell. Medicine, 2023)