Deep learning on functional data analysis

• Estimation of the Mean Function of Functional Data via Deep Neural Networks. (PDF) (R) (Python) 

Wang, S., Cao, G., Shang, Z. (2021), Stat, 10(1). 

• Robust Deep Neural Network Estimation for Multi-dimensional Functional Data. (PDF) (Code)

Wang. S., Cao, G. (2022), Electronic Journal of Statistics, 16(2). 

• Deep Neural Network Classifier for Multidimensional Functional Data. (PDF) (Code)

Wang, S., Cao, G., Shang, Z. (2023), Scandinavian Journal of Statistics, 50(4). 

• 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).

• Functional Data Analysis Using Deep Neural Networks. 

Wang, S.*, Zhang, W., Yuan, H., Cao, G. (2024), WIREs Computational Statistics, invited revision.

• Simultaneous Classification and Feature Selection for Complex Functional Data.

Wang, S., Cao, G., Yuan, H. (2024+), under review.

Deep learning on mediation analysis

• DP2LM: Deep Learning for Estimation and Inference on Mediation Effects with High-dimensional Mediators and Complex Confounders. (PDF) (Code)

Wang, S., Yuan, H. (2024+), Biostatistics, forthcoming. 

• Inference for Quantile Mediation Effects in the Presence of Complex Confounding. 

Wang, S., Li, R., Yuan, H. (2024+), under review.  

• Statistical Inference for Mediation Effects with High-dimensional Functional Mediators and Convoluted Confounders. 

Wang, S., Cao, G. (2024+), in preperation. 

Deep learning on high-dimensional data analysis

• Minimax Optimal High-dimensional Classification Using Deep Neural Networks. (PDF) 

Wang, S., Shang, Z. (2022), Stat, 11(1).

• Integrating Quantile Regression and Neural Networks: Exploring Partially Linear Structures in Ultra-High Dimension for Enhanced Predictive Modeling.

Wang, S., Mou, Y, Huang, Y. (2024+), to be submitted.

Traditional functional data, longitudinal and spatial data analysis

• Estimation and Inference for Functional Linear Regression Models with Partially Varying Regression Coefficients. (PDF)

Cao, G., Wang, S., Wang, L. (2020), Stat, 9(1).

• Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models. (PDF)

     Wang, S., Wang, H., Zhao, Y., Cao, G., Li, Y. (2023), Statistica Sinica, 33(3).

• Review of Functional Data Classification. (PDF)

Wang, S., Yuan, H., Cao, G. (2023), WIREs Computational Statistics, 16(1). 

• Subgroups and Multiple Changepoints Detection of Natural Disease History for Huntington’s Disease. 

Wang, S., Sun, Y., Yuan, H. (2024+), under review.

Interdisciplinary research

• 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.

• 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.