(*: student author)
Theory & Methods:
26. Sun, Y., Wang, X., Cao, G and Shi, W. (2025) FDALLM+: A Functional Data Analysis-Driven Large Language Model Framework for Network Traffic Prediction. IEEE Internet of Things Journal. accepted (PDF)
25. Long, Y., Cao, G, Kepplinger, D. and Wang, L. (2025) Robust Mean Signal Estimation and Inference for Imaging Data. Statistica Sinica, accepted. (PDF)
24. Wang, S. and Cao, G. (2025) Deep Neural Network for Functional Graphical Models Structure Learning. Journal of Computational and Graphical Statistics, accepted (PDF)
23. Wang, S., Zhang, W., Cao, G and Huang, Yuan (2024) Functional data analysis using deep neural networks. WIREs Computational Statistics, accept. (PDF).
22. Wang, S. and Cao, G. (2024) Multiclass classification for multidimensional functional data through deep neural networks. Electronic Journal of Statistics, 18(1): 1248-1292 (PDF)
21. Wang, S. and Cao, G and Huang, Yuan (2023) Review on functional data classification. WIREs Computational Statistics, e1638. (PDF).
20. Wang, S.*, Cao, G. and Shang, Z. (2023) Deep neural network classifier for multi-dimensional functional data. Scandinavian Journal of Statistics, accepted. (PDF)
19. Wang, S.* and Cao, G. (2022) Robust Deep Neural Network Estimation for Multi-dimensional Functional Data, Electronic Journal of Statistics, 16(2): 6461-6488 (PDF)
18. Wang, S.*, Shang, Z., Cao, G. and Liu, S.J. (2022+) Optimal Classification for Functional Data, Statistica Sinica, (PDF)
17. Wang, S.*, Wang, H., Zhao, Y., Cao, G., Li, Y. (2023) Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models, Statistica Sinica, 33, 1-22. (PDF)
16. Wang, S.*, Cao, G. and Shang, Z.(2021) Estimation of the mean function of functional data via deep neural networks. Stat, 10 (1), e393. (PDF)
15. Cao, G., Wang, S.* and Wang, L.(2020) Estimation and inference for functional linear regression models with varying regression coefficients. Stat, 9(1), e286. (PDF)
14. Wang, J., Cao, G., Wang, L. and Yang, L. (2020) Simultaneous confidence band for stationary covariance function of dense functional data. Journal of Multivariate Analysis, 176, 104584. (PDF)
13. Lima, R.I.*, Cao, G. and Billor, R. (2019) Robust simultaneous inference for the mean function of functional data Test. 28 (3), 785-803. (PDF)
12. Lima, R.I.*, Cao, G. and Billor, R. (2018) M-Based simultaneous inference for the mean function of functional data. Annals of the Institute of Statistical Mathematics, 176, 104584. (PDF)
11. Cao, G. and Wang, L. (2018) Simultaneous inference for repeated functional data. Journal of Multivariate Analysis, 165, 279-295.(PDF)
10. Wang, L. and Cao, G. (2018) Polynomial spline estimation for generalized partially linear single-index models. Bernoulli, 24, 1101-1127. (PDF)
9. Chen, H., Cao, G. and Cohen, R.A. (2017) Multivariate semiparametric spatial methods for imaging data. Biostatistics, 18(2), 286-401. (PDF)
8. Chen, H., Zhao, B., Cao, G., Proges, E., O'Shea, A., Woods, A. and Cohen, R.A. (2016) Statistical approaches for the study of cognitive and brain aging. Frontiers in Aging Neuroscience, 8: 176. (PDF)
7. Cao, G., Wang, L., Li, Y. and Yang, L. (2016) Oracle-efficient confidence envelopes for covariance functions in dense functional data. Statistics Sinica, 26, 359-383. (PDF)
6. Cao, G., (2014) Simultaneous confidence bands for derivatives of dependent functional data. Electronic Journal of Statistics, 8(2), 2639-2663. (PDF)
5. Cao, G., Hsu, W. and Todem, D. (2014) A score-type test for heterogeneity in zero-inflated models in a stratified population. Statistics in Medicine, 33(12), 2103-2114. (PDF)
4. Cao, G., Todem, D., Yang, L. and Fine, J. (2013) Evaluating statistical hypotheses using non-identifiable estimating functions. Scandinavian Journal of Statistics, 40(2), 256-273. (PDF)
3. Cao, G., Wang, J., Wang, L. and Todem, D. (2012) Spline confidence bands for functional derivatives. Journal of Statistical Planning and Inference. 142(6), 1557-1570. (PDF)
2. Cao, G., Yang, L. and Todem, D. (2012) Simultaneous inference for the mean function based on dense functional data. Journal of Nonparametric Statistics, 24(2), 359-377.(PDF)
1. Cao, G., Wang, Z., Wu, Y. and Zhao, L. (2008) Inference of change-point in single index models. Science in China Series A: Mathematics, 51(10), 1855-1870.
Applications & Case Studies:
10. Sun, Y., Wang, X., Cao, G and Shi, W. (2025) Functional Data Analysis-Guided Prompt Design for RFID Sensing and Localization Using LLMs. The 2025 IEEE Global Communications Conference.
9. Zhao, T., Wang, N., Cao, G., Mao, S. and Wang, X. (2024) Functional Data Analysis Assisted Cross-Domain Wi-Fi Sensing Using Few-Shot Learning, ICC 2024-IEEE International Conference on Communications, 4780-4785.
8. Li, Y., Wang, S.*, Cao, G., Li, D. and Ng, B. (2021) Disentangling Racial/Ethnic and Income Disparities of Food Retail Environments: Impacts on Adult Obesity Prevalence, Applied Geography, 137, 102607. (PDF)
7. Sandage, M., Wang, S.*, Cao, G. (2021) Upper airway thermoregulation during singing warm up. Journal of Voice. 35(1). 157.e1-157.e6. (PDF)
6. Lin, Y.*, Watts, D.B., van Santen, E., Cao, G. (2018) Influence of poultry litter on crop productivity under different field conditions: A Meta-Analysis. Agronomy Journal, 110(3), 807-818. (PDF)
5. Zeng, Y.*, Hu, X., Cao, G. and Suh, S. (2018) Hemolymph protein profiles of subterranean termite Reticulitermes flavipes challenged with methicillin resistant Staphylococcus aureus or Pseudomonas aeruginosa. Scientific Reports, 8(1), 13251. (PDF)
4. Wang, Y.*, Shen, Y., Mao, S., Cao, G. and Nelms, R. (2018) Adaptive learning hybrid model for solar intensity forecasting. IEEE Transactions on Industrial Informatics, 14, 1635-1645. (PDF)
3. Lin, Y.*, Watts, D.B., van Santen, E., Cao, G. (2018) Influence of poultry litter on crop productivity under different field conditions: A Meta-Analysis. Agronomy Journal, 110(3), 807-818. (PDF)
2. Smith, A., Plexico, L., Pascoe, D, Lima, R.I.* and Cao, G. (2017) Elementary school teachers' vocal dose: muscle bioenergetic and training implications. Journal of Speech, Language, and Hearing Research, 60 (7), 1831-1842. (PDF)
1. Wang, Y.*, Cao, G., Mao, S. and Nelms, R. (2015) Analysis of solar generation and weather data in smart grid with simultaneous inference of nonlinear time series. International Workshop on Smart Cities and Urban Informatics in conjunction with IEEE INFOCOM 2015. (PDF)