Zhaozhi Qian - RankMe

61 papers A* 21A 5Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Improving LLM Domain Certification with Pretrained Guide Models. EACL (Volume 1: Long Papers) Jiaqian Zhang, Zhaozhi Qian, Faroq Al-Tam, Ignacio Iacobacci, Muhammad Al-Qurishi, Riad Souissi
2025	J	`jnl`	CamelEval: Advancing Benchmarks for Arabic Language Models in Generative Tasks. IEEE Access Zhaozhi Qian, Faroq Al-Tam, Muhammad Al-Qurishi, Ignacio Iacobacci, Abdulmalik Ali Aldawsari, Riad Souissi
2025	—	`conf`	Hildoc: Leveraging Hilbert Curve Representation for Accurate and Efficient Document Retrieval. IJCNLP-AACL (long papers) Muhammad Al-Qurishi, Zhaozhi Qian, Faroq Al-Tam, Riad Souissi
2025	J	`jnl`	Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference. CoRR Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar
2025	J	`jnl`	Increasing the Thinking Budget is Not All You Need. CoRR Ignacio Iacobacci, Zhaozhi Qian, Faroq Al-Tam, Muhammad Al-Qurishi, Riad Souissi
2024	A	`conf`	Adaptive Experiment Design with Synthetic Controls. AISTATS Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	Adaptive Experiment Design with Synthetic Controls. CoRR Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks. CoRR Zhaozhi Qian, Faroq Al-Tam, Muhammad Al-Qurishi, Riad Souissi
2024	J	`jnl`	Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2024	A	`conf`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. NeurIPS Samuel Holt, Zhaozhi Qian, Tennison Liu, James Weatherall, Mihaela van der Schaar
2024	J	`jnl`	Deep Generative Symbolic Regression. CoRR Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Causal Deep Learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2023	A*	`conf`	D-CIPHER: Discovery of Closed-form Partial Differential Equations. NeurIPS Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	Deep Generative Symbolic Regression. ICLR Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization. CoRR Yangming Li, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar
2023	A*	`conf`	Learning Representations without Compositional Assumptions. ICML Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Learning Representations without Compositional Assumptions. CoRR Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	A	`conf`	Membership Inference Attacks against Synthetic Data through Overfitting Detection. AISTATS Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Membership Inference Attacks against Synthetic Data through Overfitting Detection. CoRR Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
2023	A	`conf`	Neural Laplace Control for Continuous-time Delayed Systems. AISTATS Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Neural Laplace Control for Continuous-time Delayed Systems. CoRR Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. ACM Trans. Comput. Heal. Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	Synthcity: a benchmark framework for diverse use cases of tabular synthetic data. NeurIPS Zhaozhi Qian, Robert Davis, Mihaela van der Schaar
2023	J	`jnl`	Synthcity: facilitating innovative use cases of synthetic data in different data modalities. CoRR Zhaozhi Qian, Bogdan-Constantin Cebere, Mihaela van der Schaar
2023	A*	`conf`	Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. ICML Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Synthetic data, real errors: how (not) to publish and use synthetic data. CoRR Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	TRIAGE: Characterizing and auditing training data for improved regression. NeurIPS Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	TRIAGE: Characterizing and auditing training data for improved regression. CoRR Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	When to Make and Break Commitments? ICLR Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2022	A*	`conf`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. ICML Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. CoRR Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	D-CIPHER: Discovery of Closed-form PDEs. CoRR Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2022	A*	`conf`	D-CODE: Discovering Closed-form ODEs from Observed Trajectories. ICLR Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
2022	J	`jnl`	MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar
2022	J	`jnl`	Navigating causal deep learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2022	A*	`conf`	Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. ICML Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. CoRR Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2021	J	`jnl`	CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Mach. Learn. Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2021	A*	`conf`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2021	A*	`conf`	Estimating Multi-cause Treatment Effects via Single-cause Perturbation. NeurIPS Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar
2021	A*	`conf`	Explaining Latent Representations with a Corpus of Examples. NeurIPS Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
2021	J	`jnl`	Explaining Latent Representations with a Corpus of Examples. CoRR Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
2021	A*	`conf`	Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. NeurIPS Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
2021	J	`jnl`	Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. CoRR Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
2021	A*	`conf`	Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
2021	J	`jnl`	Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. CoRR Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
2021	A*	`conf`	SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes. NeurIPS Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela M. Wood, Mihaela van der Schaar
2020	J	`jnl`	CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. CoRR Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2020	A	`conf`	Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. AISTATS Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass
2020	J	`jnl`	Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. CoRR Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar
2020	A*	`conf`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
2020	J	`jnl`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
2020	A*	`conf`	When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. NeurIPS Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. CoRR Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2017	J	`jnl`	Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes. CoRR Franz J. Király, Zhaozhi Qian