北京航空航天大学主页平台系统 Wei W Xing--Home-- • Zhe, S., Xing, W., & Kirby, R. M. (2019, April). Scalable High-Order Gaussian Process Regression. In The 22nd International Conference on Artificial Intelligence and Statistics (pp. 2611-2620). （中国计算机学会B类会议，统计学习业内顶级会议，接收率30%)

Wei W Xing

Teacher

哲学博士学位

·Recommended MA Supervisor

· Paper

Current position: Home > Paper

• Zhe, S., Xing, W., & Kirby, R. M. (2019, April). Scalable High-Order Gaussian Process Regression. In The 22nd International Conference on Artificial Intelligence and Statistics (pp. 2611-2620). （中国计算机学会B类会议，统计学习业内顶级会议，接收率30%)

Release time:2020-12-10Hits:

Translation or Not: no

Pre One:: • Gadd, C., Xing, W., Nezhad, M. M., & Shah, A. A. (2019). A surrogate modelling approach based on nonlinear dimension reduction for uncertainty quantification in groundwater flow models. Transport in porous media, 126(1), 39-77. （中科院分区Q2，JCR Q2）

Next One:: • Wang, J., Xing, W#., Kirby, R. M., & Zhang, M. (2019, June). Data-Driven Model Order Reduction for Diffeomorphic Image Registration. In International Conference on Information Processing in Medical Imaging (pp. 694-705). Springer, Cham. (#equal contributions to the first author)（医学图像处理最顶级会议，接收率25%，论文获得2019年会议最佳学术海报奖）