Browsing by Author Liu, Haitao

Showing results 1 to 9 of 9
Issue DateTitleAuthor(s)
 2017An adaptive RBF-HDMR modeling approach under limited computational budgetLiu, Haitao; Hervas, Jaime-Rubio; Ong, Yew-Soon; Cai, Jianfei; Wang, Yi
 2017Cope with diverse data structures in multi-fidelity modeling : a Gaussian process methodLiu, Haitao; Ong, Yew-Soon; Cai, Jianfei; Wang, Yi
2018Fast transfer Gaussian process regression with large-scale sourcesDa, Bingshui; Ong, Yew-Soon; Gupta, Abhishek; Feng, Liang; Liu, Haitao
 2020Large-scale heteroscedastic regression via Gaussian processLiu, Haitao; Ong, Yew-Soon; Cai, Jianfei
 2021Modulating scalable Gaussian processes for expressive statistical learningLiu, Haitao; Ong, Yew-Soon; Jiang, Xiaomo; Wang, Xiaofang
 2018Remarks on multi-output Gaussian process regressionLiu, Haitao; Cai, Jianfei; Ong, Yew-Soon
 2017A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering designLiu, Haitao; Ong, Yew-Soon; Cai, Jianfei
2018Understanding and comparing scalable Gaussian process regression for big dataLiu, Haitao; Cai, Jianfei; Ong, Yew-Soon; Wang, Yi
2020When Gaussian process meets big data : a review of scalable GPsLiu, Haitao; Ong, Yew-Soon; Shen, Xiaobo; Cai, Jianfei