| Between-centre differences for COVID-19 ICU mortality from early data in England Z Qian, AM Alaa, M van der Schaar, A Ercole Intensive Care Medicine 46 (9), 1779-1780, 2020 | 40 | 2020 |
| Retrospective cohort study of admission timing and mortality following COVID-19 infection in England A Alaa, Z Qian, J Rashbass, J Benger, M van der Schaar BMJ open 10 (11), e042712, 2020 | 25 | 2020 |
| When and how to lift the lockdown? global covid-19 scenario analysis and policy assessment using compartmental gaussian processes Z Qian, AM Alaa, M van der Schaar Advances in Neural Information Processing Systems 33, 10729-10740, 2020 | 21 | 2020 |
| CPAS: the UK’s national machine learning-based hospital capacity planning system for COVID-19 Z Qian, AM Alaa, M van der Schaar Machine Learning 110 (1), 15-35, 2021 | 19 | 2021 |
| Unlabelled data improves bayesian uncertainty calibration under covariate shift A Chan, A Alaa, Z Qian, M Van Der Schaar International Conference on Machine Learning, 1392-1402, 2020 | 15 | 2020 |
| Learning dynamic and personalized comorbidity networks from event data using deep diffusion processes Z Qian, A Alaa, A Bellot, M Schaar, J Rashbass International Conference on Artificial Intelligence and Statistics, 3295-3305, 2020 | 15 | 2020 |
| Clairvoyance: A pipeline toolkit for medical time series D Jarrett, J Yoon, I Bica, Z Qian, A Ercole, M van der Schaar International Conference on Learning Representations, 2020 | 12 | 2020 |
| Ethnicity and outcomes of COVID-19 patients in England AM Alaa, Z Qian, J Rashbass, KG Pinto, J Benger, M van der Schaar NHS Digital, 2020 | 7 | 2020 |
| Integrating expert ODEs into Neural ODEs: Pharmacology and disease progression Z Qian, W Zame, L Fleuren, P Elbers, M van der Schaar Advances in Neural Information Processing Systems 34, 11364-11383, 2021 | 5 | 2021 |
| Learning queueing policies for organ transplantation allocation using interpretable counterfactual survival analysis J Berrevoets, A Alaa, Z Qian, J Jordon, AES Gimson, M Van Der Schaar International Conference on Machine Learning, 792-802, 2021 | 5 | 2021 |
| SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes Z Qian, Y Zhang, I Bica, A Wood, M van der Schaar Advances in Neural Information Processing Systems 34, 3178-3190, 2021 | 2 | 2021 |
| Explaining Latent Representations with a Corpus of Examples J Crabbé, Z Qian, F Imrie, M van der Schaar Advances in Neural Information Processing Systems 34, 12154-12166, 2021 | 2 | 2021 |
| D-CODE: Discovering Closed-form ODEs from Observed Trajectories Z Qian, K Kacprzyk, M van der Schaar International Conference on Learning Representations, 2021 | 2 | 2021 |
| D-CIPHER: Discovery of Closed-form PDEs K Kacprzyk, Z Qian, M van der Schaar arXiv preprint arXiv:2206.10586, 2022 | | 2022 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations N Seedat, F Imrie, A Bellot, Z Qian, M van der Schaar arXiv preprint arXiv:2206.08311, 2022 | | 2022 |
| Neural Laplace: Learning diverse classes of differential equations in the Laplace domain S Holt, Z Qian, M van der Schaar arXiv preprint arXiv:2206.04843, 2022 | | 2022 |
| MARS: Assisting Human with Information Processing Tasks Using Machine Learning C Shen, Z Qian, A Huyuk, M Van Der Schaar ACM Transactions on Computing for Healthcare (HEALTH) 3 (2), 1-19, 2022 | | 2022 |
| Estimating Multi-cause Treatment Effects via Single-cause Perturbation Z Qian, A Curth, M van der Schaar Advances in Neural Information Processing Systems 34, 23754-23767, 2021 | | 2021 |
| Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge T Kyono, I Bica, Z Qian, M van der Schaar arXiv preprint arXiv:2102.06271, 2021 | | 2021 |
| SyncTwin: Transparent Treatment Effect Estimation under Temporal Confounding Z Qian, Y Zhang, I Bica, A Wood, M van der Schaar | | 2020 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteVerified email at ee.ucla.edu
