Zhaozhi Qian
28 papers · 2020–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(23)
Artificial Intelligence
(14)
Core AI
(13)
Optimization & Theory
(10)
Application Areas
(9)
Core Methods
(9)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Healthcare & Medicine
(4)
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(3)
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(2)
Keywords
causal inference
(4)
treatment effect estimation
(3)
tabular data
(3)
generative model
(3)
symbolic regression
(3)
dynamical system
(3)
large language model
(2)
uncertainty quantification
(2)
longitudinal data
(2)
treatment effect
(2)
ordinary differential equation
(2)
representation learning
(2)
synthetic data
(2)
synthetic data generation
(2)
disease progression
(2)
synthetic control
(2)
adversarial training
(1)
privacy preservation
(1)
domain adaptation
(1)
data augmentation
(1)
Papers
Improving LLM Domain Certification with Pretrained Guide Models
EACL 2026
Hildoc: Leveraging Hilbert Curve Representation for Accurate and Efficient Document Retrieval
IJCNLP 2025
Adaptive Experiment Design with Synthetic Controls
AISTATS 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures
AISTATS 2024
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models
NeurIPS 2024
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
ICLR 2024
D-CIPHER: Discovery of Closed-form Partial Differential Equations
NeurIPS 2023
Deep Generative Symbolic Regression
ICLR 2023
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
ICLR 2023
Learning Representations without Compositional Assumptions
ICML 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection
AISTATS 2023
Neural Laplace Control for Continuous-time Delayed Systems
AISTATS 2023
Synthcity: a benchmark framework for diverse use cases of tabular synthetic data
NeurIPS 2023
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
ICML 2023
TRIAGE: Characterizing and auditing training data for improved regression
NeurIPS 2023
When to Make and Break Commitments?
ICLR 2023
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
ICML 2022
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
ICLR 2022
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
ICML 2022
Clairvoyance: A Pipeline Toolkit for Medical Time Series
ICLR 2021
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
NeurIPS 2021
Explaining Latent Representations with a Corpus of Examples
NeurIPS 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
NeurIPS 2021
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis
ICML 2021
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
NeurIPS 2021
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
AISTATS 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
ICML 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
NeurIPS 2020