selected publications academic article Welling, W., Sheng, Y., & Zhu, M. (2023). CUDA-aware MPI implementation of Gibbs sampling for an IRT model. 27(2), 1821-1830. Sheng, Y., Welling, W. S., & Zhu, M. M. (2014). A GPU-Based Gibbs Sampler for a Unidimensional IRT Model. 2014, 368149-11. conference paper Y. Sheng, .., W. S. Welling, .., & M. M. Zhu. (2023). Developing Efficient Bayesian Estimation of IRT Models for Integrated STEM Education. 267-270. Sheng, Y., Welling, W. S., & Zhu, M. M. (2015). GPU-Accelerated Computing with Gibbs Sampler for the 2PNO IRT Model. 59-73. dataset Drake, S. A., Thoene, C., Foster, M., Porta, C., Mehta, R. K., Mehta, D., ... & Creel, J. (2024). Test Dataset 2 - other metadata available Mejia, E., Creel, J., Welling, W., & Mehta, D. (2000). Test Dataset 1 - minimum required fields only institutional repository document Welling, W. S., Lee, D. J., Hahn, D., Savell, J., Day, K. A., Mejia, E., & Herbert, B. E. (2019). Scholars@TAMU Texas A&M University Libraries
education and training B.A. in Computer Science, Southern Illinois University Carbondale - (Carbondale, Illinois, United States) 2014