Peer-Reviewed Journal Articles (Leading statistician*)

  • Gao, W., Kim, I., Nam, W., Ren, X., Zhou, W., & Agah, M. (2024). Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer. Statistical Analysis and Data Mining: The ASA Data Science Journal, 17(1), e11657.
  • Gao, W., Kim, I., & Park, E. (2023). Nonparametric Bayesian Functional Selection in 1-M Matched Case- Crossover Studies. Statistical Methods in Medical Research, 32(1), 133-150. doi: 10.1177/09622802221133553. Epub 2022 Oct 20. PMID: 36267024.
  • Wang, Y., Gao, S., & Gao, W*. (2021). Investigating dynamic relations between factual information and misinformation: Empirical studies of tweets related to prevention measures during COVID-19. Journal of Contingencies and Crisis Management, 30(4), 427-439. doi: 10.1111/1468-5973.12385. PMCID: PMC8652553.
  • Kim, I., Shan, L., Lin, J., Gao, W., Kim, B., & Mahmoud, H. (2020). Multiple and Multilevel Graphical Models. Wiley Interdisciplinary Reviews: Computational Statistics, 12(5), e1497.
  • Li, Z., Gao, W.*, & Li, X. (2020). Correlations of Permeability and Geological Characteristics based on Mercury Intrusion Data and Hierarchical Statistical Models: A Case Study. Journal of Energy Resources Technology, 142(12).
  • Liu, R., Liang, J., Cao, J., Zhang, K., Gao, W.*, Yang, L., Liang, J., & Yu, R. (2019). Understanding Mobile Users’ Privacy Expectations: A Recommendation-based Method through Crowdsourcing. IEEE Transactions on Services Computing, 12(2), 304-318. doi: 10.1109/TSC.2016.2636285.
  • Yu, R., Cao, J., Liu, R., Gao, W.*, Wang, X., & Liang, J. (2019). Participant Incentive Mechanism Towards Quality-Oriented Sensing: Understanding and Application. ACM Transactions on Sensor Networks, 15(2), 1-25. doi: 10.1145/3303703.
  • Liu, R., Cao, J., Zhang, K., Gao, W.*, Liang, J., & Yang, L. (2018). When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing. IEEE Transactions on Services Computing, 11(5), 864-878. doi: 10.1109/TSC.2016.2605089.
  • Liu, R., Liang, J., Gao, W.*, & Yu, R. (2018). Privacy-based Recommendation Mechanism in Mobile Participatory Sensing Systems Using Crowdsourced Users’ Preferences. Future Generation Computer Systems, 80(C), 76-88. doi: 10.1016/j.future.2017.08.055.
  • Liu, R., Cao, J., VanSyckel, S., & Gao, W.* (2016). PriMe: Human-centric Privacy Measurement Based on User Preferences Towards Data Sharing in Mobile Participatory Sensing Systems. Paper presented at IEEE International Conference on Pervasive Computing and Communications (PerCom), Sydney, Australia, 14-19 March (pp. 1-8). IEEE. doi: 10.1109/PERCOM.2016.7456518 (Acceptance rate ≈ 15%)

Publications in Progress

  • Gao, W. & Kim, I. (2024). Informed Weighted Dirichlet Process Mixture Modeling for Functional Clustering.
  • Gao, W., Miller, J., Klein, R., H\(\ddot{a}\)hnel, P. & Carter, S. (2024). BBQ: Better Base Qualities for Next- Generation Sequencing.