Journal Publications

Adaptive Debiased Lasso in High-dimensional GLMs with Streaming Data
with L. Luo, Y. Luo, Y. Lin and J. Huang
J. Amer. Statist. Assoc. (2026)
DOI
Statistical ranking with dynamic covariates
with P. Dong, B. Jiang and Y. Xu
J. R. Stat. Soc. Ser. B Stat. Methodol. (2026)
DOI
A Survey on Large Language Model-based Agents for Statistics and Data Science
with M. Sun, B. Jiang, H. Qi, D. Sun, Y. Yuan and J. Huang
The American Statistician (2025)
DOI
LAMBDA: A Large Model Based Data Agent
with M. Sun, B. Jiang, H. Qi, D. Sun, Y. Yuan and J. Huang
J. Amer. Statist. Assoc. (2025)
DOI
A Unified Analysis of Likelihood-based Estimators in the Plackett--Luce Model
with Y. Xu
Ann. Stat. (2025)
DOI
An approximate control variates approach to multifidelity distribution estimation
with B. Kramer, D. Lee, A. Narayan and Y. Xu
SIAM-ASA J. Uncertain. Quantif. (2024)
DOI
Online Inference with Debiased Stochastic Gradient Descent
with L. Luo, Y. Lin and J. Huang
Biometrika (2024)
DOI
Online Inference in High-Dimensional Generalized Linear Models with Streaming Data
with L. Luo, Y. Lin and J. Huang
Electron. J. Stat. (2023)
DOI
A General Pairwise Comparison Model for Extremely Sparse Networks
with Y. Xu and K. Chen
J. Amer. Statist. Assoc. (2022)
DOI
Probabilistic Methods for Approximate Archetypal Analysis
with Y. Xu, B. Osting and D. Wang
Inf. Inference (2022)
DOI
Post-selection Inference of High-dimensional Logistic Regression under Case-control Design
with Y. Lin, J. Xie and N. Tang
J. Bus. Econ. Stat. (2022)
DOI
Asymptotic Theory of Sparse Bradley-Terry Model
with R. Ye, C. Tan and K. Chen
Ann. Appl. Probab. (2020)
DOI
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning
with K. Chen and C. Tan
Br. J. Math. Stat. Psychol. (2020)
DOI
Bivariate Gamma Model
with K. Chen and C. Tan
J. Multivar. Anal. (2020)
DOI
Adaptive Learning Recommendation Strategy Based on Deep Q-learning
with C. Tan, R. Ye and K. Chen
Appl. Psychol. Meas. (2020)
DOI

Conference Proceedings

Learning Guarantee of Reward Modeling using Deep Neural Networks
with Y. Luo, Y. Ge, and G. Shen
ACM KDD (2026)
Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation
with Y. Zhong, Z. Zhang, R. Zhang, L. Huang, H. Gao, S. Wang, D. Li, J. Guo, S. Peng, D. Huang, X. Hu, Q. Guo and Y. Chen
AAAI (2025)

Preprints

Variance-aware Reward Modeling with Anchor Guidance
with S. Fang, L. Zhang and F. Zhou
arXiv
VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification
with H. Wu and Y. Yuan
arXiv
Deep Ranking with Heterogeneous Effects
with L. Luo, S. Fang and Y. Xu
arXiv
DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval
with M. Sun, Y. Xie, Y. Wu, B. Jiang, D. Sun, Y. Yuan and J. Huang
arXiv
DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems
with M. Sun, Y. Xie, Y. Wu, B. Jiang, D. Sun, Y. Yuan and J. Huang
arXiv
Recent advances in the Bradley-Terry Model: theory, algorithms, and applications
with S. Fang, L. Luo and Y. Xu
arXiv
Statistical Inference for Pairwise Comparison Models
with W. Tang and Y. Xu
arXiv
Recursive Debiased Lasso for Streaming Data
with L. Luo, Y. Lin and J. Huang
arXiv