Publications

See also Google Scholar. * denotes equal contribution.

Preprint

Bayesian mixed-effects models for multilevel two-way functional data: Applications to EEG experiments
Xiaomeng Ju, Thaddeus Tarpey, Hyung G. Park
arXiv preprint, 2025

arXiv · Code

Preprint

K-Tensors: Clustering positive semi-definite matrices
H. Zhang, Xiaomeng Ju, B. Shi, L. Meng, Thaddeus Tarpey
arXiv preprint, 2025

arXiv

Preprint

Low frequency oscillations in the medial orbitofrontal cortex mediate widespread hyperalgesia across pain conditions
H. G. Park, G. Kenefati, M. M. Rockholt, Xiaomeng Ju, R. R. Wu, Z. S. Chen, T. A. Gonda, J. Wang, L. V. Doan
medRxiv, 2025

Paper

Preprint

Robust gradient boosting for functional regression
Xiaomeng Ju, Matías Salibián-Barrera
Under review, 2025

Manuscript available upon request

Journal

Projection-pursuit Bayesian regression for symmetric matrix predictors
Xiaomeng Ju, Hyung G. Park, Thaddeus Tarpey
Journal of Multivariate Analysis, 211, 105539, 2026

Paper

Journal

Bayesian scalar-on-network regression with applications to brain functional connectivity
Xiaomeng Ju, Hyung G. Park, Thaddeus Tarpey
Biometrics, 81(1), ujaf023, 2025

Paper

Journal

Tree-based boosting with functional data
Xiaomeng Ju, Matías Salibián-Barrera
Computational Statistics, 39(3), 1587–1620, 2024

Paper · Code

Journal

Robust boosting for regression problems
Xiaomeng Ju, Matías Salibián-Barrera
Computational Statistics & Data Analysis, 153, 107065, 2021

Paper

Workshop

Accelerating boosting via accelerated greedy coordinate descent
Xiaomeng Ju*, Y. Sun*, S. Vaswani*, M. Schmidt
Optimization for Machine Learning Workshop (OPT), 2019

Paper

Thesis

Boosting for regression problems with complex data
Xiaomeng Ju
Ph.D. dissertation, University of British Columbia, 2022

Thesis