Peer reviewed journal articles:
Statistical Methodology (* corresponding author)
Heterogeneity-Aware Optimal Classification for Multi-source Functional Data.
Wang, S., Cao, G. (2025+), to be submitted.
Inference for Quantile Mediation Effects in the Presence of Complex Confounding.
Wang, S., Huang, Y. (2025+), under review.
Functional Imaging Data Classification with Crowdsourced Noisy Annotations.
Wang, S., Yi, G., Cao, G. (2025+), under review.
Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection. (PDF)
Wang, S., Cao, G., Huang, Y. (2025+), under review.
Deep Neural Network for Functional Graphical Models Structure Learning. (PDF)
Wang, S., Cao, G. (2025+), in press, Journal of Computational and Graphical Statistics.
Partially Linear Quantile Regression for Complex Nonlinear Component in Ultra-High Dimension. (PDF)
Wang, S.* (2025), Electronic Journal of Statistics, 19(2).
Functional Data Analysis Using Deep Neural Networks. (PDF)
Wang, S.*, Zhang, W., Cao, G., Yuan, H. (2024), WIREs Computational Statistics, 16(4).
DP2LM: Deep Learning for Estimation and Inference on Mediation Effects with High-Dimensional Mediators and Complex Confounders. (PDF) (Code)
Wang, S., Huang, Y. (2024), Biostatistics, 25(3).
Multiclass Classification for Multidimensional Functional Data through Deep Neural Networks. (PDF) (Code)
Wang, S., Cao, G.(2024), Electronic Journal of Statistics, 18(1).
Optimal Classification for Functional Data. (PDF)
Wang, S., Shang, Z., Cao, G., Liu, S.J. (2024), Statistica Sinica, 34(3).
Review on Functional Data Classification. (PDF)
Wang, S., Yuan, H., Cao, G. (2023), WIREs Computational Statistics, 16(1).
Wang, S., Cao, G., Shang, Z. (2023), Scandinavian Journal of Statistics, 50(4).
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models. (PDF)
Wang, S., Wang, H., Zhao, Y., Cao, G., Li, Y. (2023), Statistica Sinica, 33(2).
Minimax Optimal High-Dimensional Classification Using Deep Neural Networks. (PDF)
Wang, S., Shang, Z. (2022), Stat, 11(1).
Wang, S., Cao, G. (2022), Electronic Journal of Statistics, 16(2).
Wang, S., Cao, G., Shang, Z. (2021), Stat, 10(1).
Estimation and Inference for Functional Linear Regression Models with Partially Varying Regression Coefficients. (PDF)
Cao, G., Wang, S., Wang, L. (2020), Stat, 9(1).
Interdisciplinary research & case studies
Improved Prognostic Survival Models Using High Dimensional Gene Expression Data.
Tyler, J., Mst Sharmin Akter, S., Wang, S., Akshitkumar, M., Howard, D., Kavitha, Y., Kong, M. (2025+), under review.
Uncovering the Mediating Role of Metabolomics in the Sleep–Cognition Pathway: A Case Study Using Deep Learning to Address Complex Confounding.
Li, D., Mou, Y., Xiao, Q., Wang, S., Huang, Y. (2025+), revision at Statistical Foundations and Applications of Artificial Intelligence, Machine Learning and Deep Learning, Springer.
Geographic Variation of Urban-Rural Differences in Cardiovascular Mortality Across States in United States.
Belcher, S., Wang, S., Ugiliweneza, B. (2025+), under review.
Prioritizing Dietary Supplements that Prevent Ethanol-induced Impairment of Neural Crest Cells and Mitigate Fetal Alcohol Spectrum Disorders by Targeting Epigenetic Regulators through Biologically Informed Machine Learning Models.
Wang, X., Bai, M., Wang, S., Liu, J., Feng, W., Zhang, H., Wu, X. and Chen, S. (2025+), under review.
Disentangling Racial/Ethnic and Income Disparities of Food Retail Environments: Impacts on Adult Obesity Prevalence. (PDF)
Li, Y., Wang, S., Cao, G., Li, D. and Ng, B. (2021), Applied Geography, 137, 102607.
Upper Airway Thermoregulation During Singing Warm up. (PDF)
Sandage, M., Wang, S., Cao, G. (2019), Journal of Voice, 35(1), pp.157.e1-157.e6.
Grants:
2024-2025 University of Louisville, SOM-SPHIS Joint Pilot Project Program, Integrating artificial intelligence and gene editing to identify and validate epigenetic targets for nutrient-based interventions in Fetal Alcohol Spectrum Disorder. $71,000 (MPI, with Dr. Shao-yu Chen).