Publications

Published & accepted

Comments on “An Overview of Large Language Models for Statisticians”
Jiuchen Zhang, Rui Nie, Peter X.-K. Song. The American Statistician, accepted discussion, 2026.

Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health
Jiuchen Zhang, Fei Xue, Qi Xu, Jung-Ah Lee, Annie Qu. Biometrika, 111(4), 1257-1275, 2024.
Journal

Tensor Factorization Recommender System with Dependency
Jiuchen Zhang, Yubai Yuan, Annie Qu. Electronic Journal of Statistics, 16(1), 2175-2205, 2022.
Journal

Preprints & manuscripts under review

Multi-Task Active Learning with Efficient Resource Allocation
Hanwen Ye, Jiuchen Zhang, Annie Qu. arXiv preprint, 2026. Under review.
arXiv

Neural Network Machine Regression (NNMR): A Deep Learning Framework for Uncovering High-order Synergistic Effects
Jiuchen Zhang, Ling Zhou, Peter X.-K. Song. arXiv preprint, 2026.
arXiv

Testing Cumulative Treatment Effects in Continuous Time with ODE Dynamics and Noisy Observations
Jiuchen Zhang, Annie Qu. Revision under review, 2026. (arXiv version posted under an earlier title.)
arXiv

• Direct Multiple Function-on-Function Regression under Multi-resolution Sampling: Risk Decomposition and Structural Inference
  Jiming Chen, Jiuchen Zhang (corresponding author), Niansheng Tang, Annie Qu. Under review.

• A Smooth Low-rank Time Basis for Neural Estimation of Cumulative Longitudinal Means
  Jiuchen Zhang, Peter X.-K. Song. Under review.

• VEA-aware Uncertainty for LLM Chain of Actions
  Jiuchen Zhang, Rui Nie, Peter X.-K. Song. Under review.

• New Advances on Computational Toolboxes and Software for Six Essential Statistical Learning Methods: A Systematic Review
  Canyi Chen, Rui Nie, Menghan Yi, Qianhan Zeng, Jiuchen Zhang, Yahui Zhang, Peter X.-K. Song. Under revision.

Manuscripts in preparation

• Likelihood-based Inference for Binary Decision Trees via the Binary Expansion Framework
  Jiuchen Zhang, Kai Zhang, Peter X.-K. Song. Manuscript in preparation.

• Projection-powered Quantile Regression with Auxiliary Data and Transfer Learning
  Menghan Yi (co-first), Jiuchen Zhang (co-first), Huixia Judy Wang, Peter X.-K. Song. Manuscript in preparation.

Unsupervised Learning Identifies Sleep Disturbance Subtypes Among Dementia Caregivers
Eunbee Angela Kim, Jiuchen Zhang, Amir M. Rahmani, Sanghyuk Shin, Adeline Nyamathi, Jung-Ah Lee. Nursing Research, accepted, 2026.

Effects of Perinatal Lead Exposure with Antioxidant Diet Supplementation on Murine Offspring Growth and Metabolic Outcomes in Adulthood
Junru Pan, Jiuchen Zhang, Zheshi Zheng, Peter X.-K. Song, Justin A. Colacino, Karen E. Peterson, Dana C. Dolinoy. Under review.

Wearable Internet-of-Things Technology to Measure Sleep of Diverse Caregivers: Preliminary Results from a Randomized Controlled Trial
Jung-Ah Lee, Jiuchen Zhang, Amir Rahmani, Annie Qu. Alzheimer’s & Dementia, 20, e092479, 2024. (Published conference abstract)

Improvements in Heart Rate Variability among Dementia Family Caregivers Receiving a Home-Visit Based Intervention: Preliminary Results from a Randomized Controlled Trial
Jung-Ah Lee, Jiuchen Zhang, Eilleen Sabino-Laughlin, Eunae Ju, Amir Rahmani, Annie Qu. Alzheimer’s & Dementia, 19, e077110, 2023. (Published conference abstract)

Culturally and Linguistically Appropriate Home Visit Intervention for Underserved Dementia Family Caregivers: Preliminary Results from a Randomized Controlled Trial
Jung-Ah Lee, Eunae Ju, Jiuchen Zhang, Eilleen Sabino-Laughlin, Amir Rahmani, Lisa Gibbs, Sanghyuk Shin, Annie Qu, Priscilla Kehoe, Adey Nyamathi. Alzheimer’s & Dementia, 18, e058927, 2022. (Published conference abstract)

Software

IDLFM: Individual Dynamic Latent Factor Model (R package on CRAN)
Siyang Liu, Jiuchen Zhang, Annie Qu. Nearly 3,000 downloads since May 2025.
CRAN