Publications (Google Scholar Profile)

Variance estimation after matching or re-weighting
Xiang Meng, Aaron Smith, Luke Miratrix
Preprint.
[Paper]

Time-Varying Causal Survival Learning
Xiang Meng, Iavor Bojinov
arXiv: 2503.00730.
[Paper]

Predicting the strength of next-day negative emotion states in body dysmorphic disorder using passive smartphone data: An intensive longitudinal assessment study
Hilary Weingarden, Xiang Meng, Michael Armey, Jukka P. Onnela, Adam Jaroszewski, Caroline Armstrong, Sabine Wilhelm
Internet Interventions (in press).

Caliper Synthetic Matching
Jonathan Che, Xiang Meng, Luke Miratrix
arXiv:2411.05246.
[Paper] [R package: github.com/jche/scmatch2]

Evaluation of the HeartSteps Online Algorithm
Xiang Meng, Walter Dempsey, Peng Liao, Nancy Reid, Predrag Klasnja, Susan Murphy
arXiv: 2501.02137.
[Paper]

Predict Progression Free Survival and Overall Survival Using Objective Response Rate for Anti-PD1/PDL1 Therapy Development
Lei Yang, Geethanjali Raveendran, Xiang Meng, Ji Lin & Zhaoling Meng
BMC Cancer.
[Paper]

Coherent modeling of longitudinal causal effects on binary outcomes
Linbo Wang, Xiang Meng, Thomas Richardson, James Robins
Biometrics.
[Paper] [Code & Data]

REFINE2: A tool to evaluate real-world performance of machine-learning based effect estimators for molecular and clinical studies
Xiang Meng, Jonathan Huang
Preprint.
[arXiv] [Code]

Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously-Unseen Food Items
Ethan K. Gordon, Xiang Meng, Tapomayukh Bhattacharjee, Matt Barnes, and Siddhartha S. Srinivasa
International Conference on Intelligent Robots and Systems, Las Vegas, US, 2020. IROS 2020.
[arXiv] [Demo Video]