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