Peer reviewed journal articles:
Statistical Methodology (* corresponding author)
Minimax-Optimal Functional Classification with Transformer Networks.
Wang, S.*, Tian, Y., Cao, G. (2026+), to be submitted.
Comprehensive neural network methods for heteroscedastic partial linear quantile regression in ultra-high dimensions: deep and shallow architectures.
Wang, S.*, Mou, Y., Xiao, Q., Huang, Y. (2026+), under review at Electronic Journal of Statistics.
Heterogeneity-Aware Optimal Classification for Multi-source Imaging Data.
Wang, S., Cao, G. (2026+), under review at Annals of Applied Statistics.
Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection. (PDF)
Wang, S., Cao, G., Huang, Y. (2026+), invited revision at Statistical Methods in Medical Research.
Inference for Quantile Mediation Effects in the Presence of Complex Confounding.
Wang, S., Huang, Y. (2026), invited revision at Electronic Journal of Statistics.
Functional Imaging Data Classification with Crowdsourced Noisy Annotations.
Wang, S., Yi, G., Cao, G. (2026+), invited revision at Statistica Sinica.
Deep Neural Network for Functional Graphical Models Structure Learning. (PDF)
Wang, S., Cao, G. (2026), 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.
Jones, T., Sumy, M., Amona, E., Wang, S., Mistry, A., Donninger, H., Yaddanapudi, K., Kong, M. (2025+), invited revision at BMC Medical Genomics.
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+), accepted, Statistical Foundations and Applications of Artificial Intelligence, Machine Learning and Deep Learning, Springer.
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), 27(1), International Journal of Molecular Sciences. (PDF)
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).