Zhaozhi Qian

According to our database, Zhaozhi Qian authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

Found. Trends Signal Process., 2024

CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks.

Zhaozhi Qian, Faroq Al-Tam, Muhammad Al-Qurishi, Riad Souissi

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference.

Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Experiment Design with Synthetic Controls.

Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

DAGnosis: Localized Identification of Data Inconsistencies using Structures.

Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge.

Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar

ACM Trans. Comput. Heal., April, 2023

Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization.

Yangming Li, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2023

Causal Deep Learning.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2023

Synthcity: facilitating innovative use cases of synthetic data in different data modalities.

Zhaozhi Qian, Bogdan-Constantin Cebere, Mihaela van der Schaar

CoRR, 2023

TRIAGE: Characterizing and auditing training data for improved regression.

Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Synthcity: a benchmark framework for diverse use cases of tabular synthetic data.

Zhaozhi Qian, Robert Davis, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

D-CIPHER: Discovery of Closed-form Partial Differential Equations.

Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Representations without Compositional Assumptions.

Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data.

Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure.

Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

When to Make and Break Commitments?

Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Deep Generative Symbolic Regression.

Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Laplace Control for Continuous-time Delayed Systems.

Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Membership Inference Attacks against Synthetic Data through Overfitting Detection.

Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

MARS: Assisting Human with Information Processing Tasks Using Machine Learning.

Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar

ACM Trans. Comput. Heal., 2022

Navigating causal deep learning.

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2022

D-CIPHER: Discovery of Closed-form PDEs.

Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2022

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations.

Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain.

Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

D-CODE: Discovering Closed-form ODEs from Observed Trajectories.

Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Mach. Learn., 2021

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression.

Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes.

Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela M. Wood, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating Multi-cause Treatment Effects via Single-cause Perturbation.

Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explaining Latent Representations with a Corpus of Examples.

Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Clairvoyance: A Pipeline Toolkit for Medical Time Series.

Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes.

Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift.

Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2017

Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes.

Franz J. Király, Zhaozhi Qian

CoRR, 2017