Postdoctoral Researcher, Computational Research Division
Affiliation and Research Interests
I am a postdoctoral researcher in the Center for Computational
Sciences and Engineering (CCSE) in the
Computational Research Division
of the Computing Sciences Area
at the Lawrence Berkeley National Laboratory. I am interested in stochastic modeling and simulation, computer experiment design and analysis, and simulation optimization.
Currently I am working on developing algorithms for large scale expensive black-box optimization problems and application to High Energy Physics. I am also collaborating with FASTMath SciDAC Institute to develop and deploy scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena.
- W. Wang and X. Chen. Distributed variational inference-based heteroscedastic Gaussian process metamodeling. Proceedings of the 2019 Winter Simulation Conference, in press.
- X. Chen, W. Wang, G. Xie, R. Hontecillas, M. Verma, A. Leber, P. Lu, J. Bassaganya-Riera and V. Abedi. Multi-resolution sensitivity analysis of model of immune response to Helicobacter pylori infection via spatio-temporal metamodeling. Frontiers in Applied Mathematics and Statistics, 5,4, 2019.
- W. Wang, N. Chen, X. Chen and L. Yang. A variational Bayesian inference-based heteroscedastic Gaussian process approach for simulation metamodeling. ACM Transactions on Modeling and Computer Simulation, 29(1), 6, 2018.
- W. Wang and X. Chen. An adaptive two-stage dual metamodeling approach for stochastic simulation experiments. IISE transactions, 50:9, 820-836, 2018.
- W. Wang and X. Chen. The effects of estimation of heteroscedasticity on stochastic kriging. Proceedings of the 2016 Winter Simulation Conference, pp. 326-337. IEEE Press, 2016.