Frequentist model averaging estimation: a review. - Haiying Wang 004; Xinyu Zhang 024; Guohua Zou (J. Syst. Sci. Complex., 2009)

More Efficient Estimation for Logistic Regression with Optimal Subsamples. - HaiYing Wang 004 (J. Mach. Learn. Res., 2019)

Logistic Regression for Massive Data with Rare Events. - Haiying Wang 004 (ICML, 2020)

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. - Jun Yu; HaiYing Wang 004; Mingyao Ai; Huiming Zhang (CoRR, 2020)

Reproducible Science with LaTeX. - Haim Bar 001; HaiYing Wang 004 (CoRR, 2020)

Online updating method to correct for measurement error in big data streams. - JooChul Lee; HaiYing Wang 004; Elizabeth D. Schifano (Comput. Stat. Data Anal., 2020)

A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling. - HaiYing Wang 004; Jiahui Zou (AISTATS, 2021)

Distributed subdata selection for big data via sampling-based approach. - Haixiang Zhang; HaiYing Wang 004 (Comput. Stat. Data Anal., 2021)

Optimal subsample selection for massive logistic regression with distributed data. - Lulu Zuo; Haixiang Zhang; HaiYing Wang 004; Liuquan Sun (Comput. Stat., 2021)

Iterative Likelihood: A Unified Inference Tool. - Haiying Wang 004; Dixin Zhang; Hua Liang; David Ruppert (J. Comput. Graph. Stat., 2021)

Most Likely Optimal Subsampled Markov Chain Monte Carlo. - Guanyu Hu; Haiying Wang 004 (J. Syst. Sci. Complex., 2021)

Maximum sampled conditional likelihood for informative subsampling. - HaiYing Wang 004; Jae Kwang Kim (J. Mach. Learn. Res., 2022)

Sampling With Replacement vs Poisson Sampling: A Comparative Study in Optimal Subsampling. - Jing Wang 210; Jiahui Zou; HaiYing Wang 004 (IEEE Trans. Inf. Theory, 2022)

Optimal Poisson Subsampling for Softmax Regression. - Yaqiong Yao; Jiahui Zou; Haiying Wang 004 (J. Syst. Sci. Complex., 2023)

Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models. - Jing Wang 210; HaiYing Wang 004; Hao Zhang (NeurIPS, 2024)

Independence-Encouraging Subsampling for Nonparametric Additive Models. - Yi Zhang; Lin Wang 044; Xiaoke Zhang; HaiYing Wang 004 (J. Comput. Graph. Stat., 2024)

Approximating Partial Likelihood Estimators via Optimal Subsampling. - Haixiang Zhang; Lulu Zuo; HaiYing Wang 004; Liuquan Sun (J. Comput. Graph. Stat., 2024)

A Subsampling Strategy for AIC-based Model Averaging with Generalized Linear Models. - Jun Yu; HaiYing Wang 004; Mingyao Ai (Technometrics, 2025)