| Inferring multimodal latent topics from electronic health records Y Li, P Nair, XH Lu, Z Wen, Y Wang, AAK Dehaghi, Y Miao, W Liu, ... Nature communications 11 (1), 1-17, 2020 | 62 | 2020 |
| MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining Z Wen, XH Lu, S Reddy Proceedings of the 3rd Clinical Natural Language Processing Workshop, 130-135, 2020 | 31 | 2020 |
| Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model Y Li, P Nair, Z Wen, I Chafi, A Okhmatovskaia, G Powell, Y Shen, ... Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020 | 19 | 2020 |
| DDXPlus: A New Dataset For Automatic Medical Diagnosis AF Tchango, R Goel, Z Wen, J Martel, J Ghosn Proceedings of the Neural Information Processing Systems-Track on Datasets …, 2022 | 16* | 2022 |
| Mining heterogeneous clinical notes by multi-modal latent topic model Z Wen, P Nair, CY Deng, XH Lu, E Moseley, N George, C Lindvall, Y Li Plos one 16 (4), e0249622, 2021 | 7 | 2021 |
| Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning A Fansi Tchango, R Goel, J Martel, Z Wen, G Marceau Caron, J Ghosn Advances in Neural Information Processing Systems 35, 24502-24515, 2022 | 5 | 2022 |
| Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19 Z Wen, G Powell, I Chafi, DL Buckeridge, Y Li Patterns 3 (3), 100435, 2022 | 3 | 2022 |
| Non-invasive Method for Elevator’s Movement Monitoring Based on MEMS Sensor and Kalman Filter Z Wen, Z Fu, Y Gao, B Wang, R Huang, F Long, L Li 2018 14th IEEE International Conference on Signal Processing (ICSP), 797-802, 2018 | 2 | 2018 |
| EpiTopics: A dynamic machine learning model to predict and inform non-pharmacological public health interventions from global news reports Z Wen, J Zhang, G Powell, I Chafi, DL Buckeridge, Y Li STAR Protocols 3 (2), 101463, 2022 | 1 | 2022 |
