| Recursive deep models for discourse parsing J Li, R Li, E Hovy Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 168 | 2014 |
| Detection of bleeding events in electronic health record notes using convolutional neural network models enhanced with recurrent neural network autoencoders: deep learning approach R Li, B Hu, F Liu, W Liu, F Cunningham, DD McManus, H Yu JMIR medical informatics 7 (1), e10788, 2019 | 38 | 2019 |
| MetaMT, a meta learning method leveraging multiple domain data for low resource machine translation R Li, X Wang, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8245-8252, 2020 | 34 | 2020 |
| A hybrid neural network model for joint prediction of presence and period assertions of medical events in clinical notes L Rumeng, Y Hong AMIA Annual Symposium Proceedings 2017, 1149, 2017 | 23 | 2017 |
| Tracking events using time-dependent hierarchical dirichlet tree model R Li, T Wang, X Wang Proceedings of the 2015 SIAM International Conference on Data Mining, 550-558, 2015 | 8* | 2015 |
| Distributed document representation for document classification R Li, H Shindo Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 8 | 2015 |
| A hierarchical tree model for update summarization R Li, H Shindo Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 6 | 2015 |
| Time-dependent Hierarchical Dirichlet Model for Timeline Generation R Li, T Wang, X Wang arXiv preprint arXiv:1312.2244, 2013 | 6 | 2013 |
| Notechat: A dataset of synthetic doctor-patient conversations conditioned on clinical notes J Wang, Z Yao, Z Yang, H Zhou, R Li, X Wang, Y Xu, H Yu arXiv preprint arXiv:2310.15959, 2023 | 5 | 2023 |
| Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data R Li, X Wang, H Yu Proceedings of the Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans R Li, X Wang, D Berlowitz, B Silver, W Hu, H Keating, R Goodwin, W Liu, ... arXiv preprint arXiv:2307.12369, 2023 | | 2023 |
| Using Machine Learning to Predict Opioid Overdose Using Electronic Health Records R Li, XW Msc, WL Mph, RD MD, MA Bedford APHA 2022 Annual Meeting and Expo, 2022 | | 2022 |
| Predicting Alzheimer’s Disease 10 Years Prior to Its Diagnosis Based on Neuropsychiatric Symptoms Monitoring, a Retrospective Study on Large VA Cohort LI Rumeng, X Wang, H Yu, W Hu 2022 Annual Research Meeting, 2022 | | 2022 |
| Learning to Rank for Coordination Detection X Wang, R Li, H Shindo, K Sudoh, M Nagata Computational Linguistics and Intelligent Text Processing: 18th …, 2018 | | 2018 |
| Prediction of Alzheimer's Disease a Decade Prior to Clinical Diagnoses Using Machine Learning on Longitudinal Electronic Health Records of US Military Veterans R Li, X Wang, W Hu, H Keating, R Goodwin, W Liu, D Berlowitz, B Silver, ... Available at SSRN 4298145, 0 | | |
