| 2026 | EACL | Improving LLM Domain Certification with Pretrained Guide Models. | Jiaqian Zhang, Zhaozhi Qian, Faroq Al-Tam, Ignacio Iacobacci, Muhammad Al-Qurishi, Riad Souissi |
| 2025 | IJCNLP | Hildoc: Leveraging Hilbert Curve Representation for Accurate and Efficient Document Retrieval. | Muhammad Al-Qurishi, Zhaozhi Qian, Faroq Al-Tam, Riad Souissi |
| 2024 | AISTATS | DAGnosis: Localized Identification of Data Inconsistencies using Structures. | Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabb, Zhaozhi Qian, Mihaela van der Schaar |
| 2024 | AISTATS | Adaptive Experiment Design with Synthetic Controls. | Alihan Hyk, Zhaozhi Qian, Mihaela van der Schaar |
| 2024 | ICLR | ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. | Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | AISTATS | Membership Inference Attacks against Synthetic Data through Overfitting Detection. | Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | AISTATS | Neural Laplace Control for Continuous-time Delayed Systems. | Samuel Holt, Alihan Hyk, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar |
| 2023 | ICLR | Deep Generative Symbolic Regression. | Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICLR | When to Make and Break Commitments? | Alihan Hyk, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICLR | GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. | Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar |
| 2023 | ICML | Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. | Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICML | Learning Representations without Compositional Assumptions. | Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar |
| 2022 | ICLR | D-CODE: Discovering Closed-form ODEs from Observed Trajectories. | Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar |
| 2022 | ICML | Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. | Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar |
| 2022 | ICML | Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. | Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar |
| 2021 | ICLR | Clairvoyance: A Pipeline Toolkit for Medical Time Series. | Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar |
| 2021 | ICML | Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. | Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar |
| 2020 | AISTATS | Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. | Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass |
| 2020 | ICML | Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. | Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar |