Annie Qu

Professor

University of California, Irvine

United States

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Professor Annie Qu is a faculty member at the University of California Irvine, USA. Her research focuses on optimizing data integration and causal inference, with a particular emphasis on mobile health applications and dynamic treatment regimes. Recent contributions include work on graph neural networks, individualized treatment rules, and latent factor modeling in healthcare.

Articles (16)

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2025

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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2021

Collaborators (3)

Lan Xue

Professor

Oregon State University

UNITED STATES

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Monica Uddin

UNITED STATES

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Lei Liu

UNITED STATES

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Annie Qu

Research Interests

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About

Articles (16)

Optimal Transport based Cross-Domain Integration for Heterogeneous Data

Individualized Time‐Varying Nonparametric Model With an Application in Mobile Health

A Model-Agnostic Graph Neural Network for Integrating Local and Global Information

Optimal individualized treatment rule for combination treatments under budget constraints

Individualized dynamic latent factor model for multi-resolutional data with application to mobile health

Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models

Healthcare center clustering for Cox's proportional hazards model by fusion penalty

De-confounding causal inference using latent multiple-mediator pathways

Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling

Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data

DNA methylation of Nuclear Factor of Activated T Cells 1 mediates the prospective relation between exposure to different traumatic event types and post-traumatic stress disorder

Query-Augmented Active Metric Learning

High-Order Joint Embedding for Multi-Level Link Prediction

Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization

A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample

Collaborators (3)

Lan Xue

Monica Uddin

Lei Liu

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