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ORCIDJeongmin Lee 0001
Person information
- affiliation: Meta AI
- affiliation (Ph.D.): University of Pittsburgh, Pittsburgh, PA, USA
Other persons with the same name
- Jeongmin Lee (aka: Jeong Min Lee) — disambiguation page
- Jeongmin Lee 0002
![[0000-0002-6953-4129]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6953-4129")
— Seoul National University, Seoul, South Korea - Jeongmin Lee 0003 — LG Innotek
- Jeongmin Lee 0004 — Samsung Research, Seoul, South Korea (and 1 more)
- Jeongmin Lee 0005 — Korea University, School of Electrical Engineering, Seoul, South Korea
- Jeongmin Lee 0006 — Inha University, Incheon, South Korea
- Jeongmin Lee 0007 — Korea Advanced Institute of Science and Technology, Daejeon, South Korea
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2020 – today
- 2023
[j2]Jeongmin Lee, Milos Hauskrecht:
Personalized event prediction for Electronic Health Records. Artif. Intell. Medicine 143: 102620 (2023)- [i3]Jeongmin Lee, Milos Hauskrecht:
Personalized Event Prediction for Electronic Health Records. CoRR abs/2308.11013 (2023) - 2022
- [c8]Jeongmin Lee, Milos Hauskrecht:
Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts. AIME 2022: 155-166 - [i2]Jeongmin Lee, Milos Hauskrecht:
Learning to Adapt Clinical Sequences with Residual Mixture of Experts. CoRR abs/2204.02687 (2022) - 2021
- [j1]Jeongmin Lee, Milos Hauskrecht:
Modeling multivariate clinical event time-series with recurrent temporal mechanisms. Artif. Intell. Medicine 112: 102021 (2021) - [c7]Jeongmin Lee, Milos Hauskrecht:
Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning. AIME 2021: 175-186 - [c6]Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge:
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys 2021: 143-153 - [i1]Jeongmin Lee, Milos Hauskrecht:
Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning. CoRR abs/2104.01787 (2021) - 2020
- [c5]Jeongmin Lee, Milos Hauskrecht:
Multi-scale Temporal Memory for Clinical Event Time-Series Prediction. AIME 2020: 313-324 - [c4]Jeongmin Lee, Milos Hauskrecht:
Clinical Event Time-Series Modeling with Periodic Events. FLAIRS 2020: 94-99
2010 – 2019
- 2019
- [c3]Jeongmin Lee, Milos Hauskrecht:
Recent Context-Aware LSTM for Clinical Event Time-Series Prediction. AIME 2019: 13-23 - 2013
- [c2]Jamie P. McCusker, Deborah L. McGuinness, Jeongmin Lee, Chavon Thomas, Paul Courtney, Zaria Tatalovich, Noshir S. Contractor, Glen D. Morgan, Abdul R. Shaikh:
Towards Next Generation Health Data Exploration: A Data Cube-Based Investigation into Population Statistics for Tobacco. HICSS 2013: 2725-2732 - 2012
- [c1]Jamie P. McCusker, Jeongmin Lee, Chavon Thomas, Deborah L. McGuinness:
Public Health Surveillance Using Global Health Explorer. SATBI+SWIM 2012
Coauthor Index
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