Ongoing work

• TBD

Preprints and under review

• Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration.
  Xueqing Liu, Kyra Gan, Esmaeil Keyvanshokooh, Susan Murphy. Under Review, 2024+.arXiv

• A comparison of longitudinal models for analyzing contextual bandit collected longitudinal count data in mobile health.
  Xueqing Liu, Nina Deliu, Lauren Bell, Bibhas Chakraborty. Under Review, 2023+.

• Incorporating Nonparametric Methods for Estimating Causal Excursion Effects in Mobile Health with Zero-Inflated Count Outcomes.
  Xueqing Liu, Tianchen Qian, Lauren Bell, Bibhas Chakraborty. Under Review, 2023+. arXiv

• Thompson Sampling for Zero-Inflated Count Outcomes with an Application to the Drink Less Mobile Health Study.
  Xueqing Liu, Nina Deliu, Tanujit Chakraborty, Lauren Bell, Bibhas Chakraborty. Under Review, 2023+. arXiv

Published papers

• Contextual Bandits with Budgeted Information Reveal.
  Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan Murphy. AISTATS2024, 2024. arXiv

• Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health.
  Xueqing Liu, Nina Deliu, Bibhas Chakraborty. American Journal of Public Health, 2023. Journal

• A Distribution-Free Smoothed Combination Method to Improve Discrimination Accuracy in Multi-Category Classification.
  Raju Maiti, Jialiang Li, Priyam Das, Xueqing Liu, Lei Feng, Derek J Hausenloy, Bibhas Chakraborty. Statistical Methods in Medical Research, 2022. Journal

• A Novel Regression Method for the Analysis of Multireader Multicase-Free-Response Receiver Operating Characteristics Studies.
  Xueqing Liu, Jiarui Sun, Xiao-Hua Zhou. Statistics in Medicine, 2022. Journal