Research

• Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates

Jing Ouyang✉, Chengyu Cui, Yunxiao Chen, Kean Ming Tan, and Gongjun Xu

arXiv preprint (2026)

[arxiv]

• Beyond Vintage Rotation: Bias-Free Sparse Representation Learning with Oracle Inference.

 Chengyu Cui, Yunxiao Chen, Jing Ouyang and Gongjun Xu

arXiv preprint (2026)

[arxiv]

• Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments.

 Jing Ouyang, Yunxiao Chen, Chengcheng Li and Gongjun Xu (2026).

Journal of the American Statistical Association, accepted.

[arxiv][code]

• Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness.

 Jing Ouyang*, Chengyu Cui*, Kean Ming Tan and Gongjun Xu (2026).

Annals of Applied Statistics, 20(1): 764-788

[arxiv] [Journal][code]

• A note on improving variational estimation for multidimensional item response theory.

Chenchen Ma*, Jing Ouyang*, Chun Wang* and Gongjun Xu* (2024).

Psychometrika, 89, 172–204.

[arxiv] [Journal] [code]

• High-dimensional inference for generalized linear models with hidden confounding.

 Jing Ouyang, Kean Ming Tan and Gongjun Xu  (2023).

Journal of Machine Learning Research, 24(296):1−61.

[arxiv] [Journal] [code]

• Statistical inference for noisy incomplete binary matrix. 

Yunxiao Chen*, Chengcheng Li*, Jing Ouyang* and Gongjun Xu*  (2023). 

Journal of Machine Learning Research, 24(95):1−66.

[arxiv] [Journal] [code]

• DIF statistical inference without knowing anchoring items.

Yunxiao Chen*, Chengcheng Li*, Jing Ouyang* and Gongjun Xu* (2023). 

Psychometrika, 88, 1097–1122.

  [arxiv] [Journal] [code]

• Predicting team function using bayesian and cognitive diagnostic modeling approaches.

Jeong-Hin Chi, Jing Ouyang, Robin Fowler, Gongjun Xu and Becky Matz (2023).

Annual Conference of the American Society for Engineering Education.

[link]

• Learning latent and hierarchical structures in cognitive diagnosis models.

Chenchen Ma*, Jing Ouyang* and Gongjun Xu* (2023).

Psychometrika, 88, 175–207. 

[arxiv] [Journal]

• Identifiability of latent class models with covariates.

Jing Ouyang and Gongjun Xu (2022).

Psychometrika, 87, 1343–1360.

[arxiv] [Journal]