Qian, Zhaozhi

29 publications

NeurIPS 2025 Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar

AISTATS 2024 Adaptive Experiment Design with Synthetic Controls Alihan Hüyük, Zhaozhi Qian, Mihaela Schaar

AISTATS 2024 DAGnosis: Localized Identification of Data Inconsistencies Using Structures Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela Schaar

NeurIPS 2024 Data-Driven Discovery of Dynamical Systems in Pharmacology Using Large Language Models Samuel Holt, Zhaozhi Qian, Tennison Liu, James Weatherall, Mihaela van der Schaar

ICLR 2024 ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

NeurIPS 2023 D-CIPHER: Discovery of Closed-Form Partial Differential Equations Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

ICLR 2023 Deep Generative Symbolic Regression Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

ICLR 2023 GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar

ICML 2023 Learning Representations Without Compositional Assumptions Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela Van Der Schaar

AISTATS 2023 Membership Inference Attacks Against Synthetic Data Through Overfitting Detection Boris Breugel, Hao Sun, Zhaozhi Qian, Mihaela Schaar

AISTATS 2023 Neural Laplace Control for Continuous-Time Delayed Systems Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela Schaar

NeurIPS 2023 Synthcity: A Benchmark Framework for Diverse Use Cases of Tabular Synthetic Data Zhaozhi Qian, Rob Davis, Mihaela van der Schaar

ICML 2023 Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data Boris Van Breugel, Zhaozhi Qian, Mihaela Van Der Schaar

NeurIPS 2023 TRIAGE: Characterizing and Auditing Training Data for Improved Regression Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar

ICLR 2023 When to Make and Break Commitments? Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar

ICML 2022 Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela Schaar

NeurIPSW 2022 D-CIPHER: Discovery of Closed-Form Partial Differential Equations Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

ICLR 2022 D-CODE: Discovering Closed-Form ODEs from Observed Trajectories Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar

ICML 2022 Neural Laplace: Learning Diverse Classes of Differential Equations in the Laplace Domain Samuel I Holt, Zhaozhi Qian, Mihaela Schaar

MLJ 2021 CPAS: The UK's National Machine Learning-Based Hospital Capacity Planning System for COVID-19 Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar

ICLR 2021 Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

NeurIPS 2021 Estimating Multi-Cause Treatment Effects via Single-Cause Perturbation Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar

NeurIPS 2021 Explaining Latent Representations with a Corpus of Examples Jonathan Crabbe, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar

NeurIPS 2021 Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian, William Zame, Lucas Fleuren, Paul Elbers, Mihaela van der Schaar

ICML 2021 Learning Queueing Policies for Organ Transplantation Allocation Using Interpretable Counterfactual Survival Analysis Jeroen Berrevoets, Ahmed Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela Schaar

NeurIPS 2021 SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela Wood, Mihaela van der Schaar

AISTATS 2020 Learning Dynamic and Personalized Comorbidity Networks from Event Data Using Deep Diffusion Processes Zhaozhi Qian, Ahmed Alaa, Alexis Bellot, Mihaela Schaar, Jem Rashbass

ICML 2020 Unlabelled Data Improves Bayesian Uncertainty Calibration Under Covariate Shift Alex Chan, Ahmed Alaa, Zhaozhi Qian, Mihaela Van Der Schaar

NeurIPS 2020 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment Using Compartmental Gaussian Processes Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar