Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces. - Haitao Liu 002; Shengli Xu; Ying Ma; Xiaofang Wang (J. Glob. Optim., 2015)

An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error. - Haitao Liu 002; Jianfei Cai 001; Yew-Soon Ong (Comput. Chem. Eng., 2017)

Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. - Haitao Liu 002; Jianfei Cai 001; Yi Wang 006; Yew-Soon Ong (ICML, 2018)

Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. - Haitao Liu 002; Yew-Soon Ong; Jianfei Cai 001; Yi Wang 006 (Eng. Appl. Artif. Intell., 2018)

Remarks on multi-output Gaussian process regression. - Haitao Liu 002; Jianfei Cai 001; Yew-Soon Ong (Knowl. Based Syst., 2018)

Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. - Haitao Liu 002; Yew-Soon Ong; Ziwei Yu; Jianfei Cai 001; Xiaobo Shen 001 (CoRR, 2019)

Fast transfer Gaussian process regression with large-scale sources. - Bingshui Da; Yew-Soon Ong; Abhishek Gupta 001; Liang Feng 001; Haitao Liu 002 (Knowl. Based Syst., 2019)

Understanding and comparing scalable Gaussian process regression for big data. - Haitao Liu 002; Jianfei Cai 001; Yew-Soon Ong; Yi Wang 006 (Knowl. Based Syst., 2019)

When Gaussian Process Meets Big Data: A Review of Scalable GPs. - Haitao Liu 002; Yew-Soon Ong; Xiaobo Shen 001; Jianfei Cai 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems. - Haitao Liu 002; Changjun Liu; Xiaomo Jiang; Xudong Chen; Shuhua Yang; Xiaofang Wang (CoRR, 2021)

Modulating scalable Gaussian processes for expressive statistical learning. - Haitao Liu 002; Yew-Soon Ong; Xiaomo Jiang; Xiaofang Wang (Pattern Recognit., 2021)

Large-Scale Heteroscedastic Regression via Gaussian Process. - Haitao Liu 002; Yew-Soon Ong; Jianfei Cai 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. - Haitao Liu 002; Kai Wu 004; Yew-Soon Ong; Xiaomo Jiang; Xiaofang Wang (CoRR, 2022)

Scalable multi-task Gaussian processes with neural embedding of coregionalization. - Haitao Liu 002; Jiaqi Ding; Xinyu Xie; Xiaomo Jiang; Yusong Zhao; Xiaofang Wang (Knowl. Based Syst., 2022)

Co-Learning Bayesian Optimization. - Zhendong Guo; Yew-Soon Ong; Tiantian He 001; Haitao Liu 002 (IEEE Trans. Cybern., 2022)

Deep Latent-Variable Kernel Learning. - Haitao Liu 002; Yew-Soon Ong; Xiaomo Jiang; Xiaofang Wang (IEEE Trans. Cybern., 2022)

Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. - Haitao Liu 002; Yew-Soon Ong; Ziwei Yu; Jianfei Cai 001; Xiaobo Shen 001 (IEEE Trans. Cybern., 2022)

Generative Multiform Bayesian Optimization. - Zhendong Guo; Haitao Liu 002; Yew-Soon Ong; Xinghua Qu; Yuzhe Zhang; Jianmin Zheng (IEEE Trans. Cybern., 2023)

Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. - Zhenkun Wang 001; Qingfu Zhang 001; Yew-Soon Ong; Shunyu Yao 002; Haitao Liu 002; Jianping Luo (IEEE Trans. Cybern., 2023)

Learning Multitask Gaussian Process Over Heterogeneous Input Domains. - Haitao Liu 002; Kai Wu 004; Yew-Soon Ong; Chao Bian 007; Xiaomo Jiang; Xiaofang Wang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An efficient mixed constrained Bayesian optimization for handling known and unknown constraints. - Chao Bian 007; Qinglong Liu; Xuan Zhang; Binbin Yan; Xiaofang Wang; Siyuan Zuo; Haitao Liu 002 (Adv. Eng. Informatics, 2024)

Transfer condition assessment of gas turbines via double multi-task Gaussian process. - Shiduo Cao; Changjun Liu; He Xu; Xiaomo Jiang; Xuan Zhang; Binbin Yan; Chao Qi; Xiaofang Wang; Haitao Liu 002 (Adv. Eng. Informatics, 2024)

A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting the key monitoring parameters of gas turbine. - Changjun Liu; Xiaofang Wang; Xiaomo Jiang; Yongfeng Sui; Shiduo Cao; Chao Qi; Haitao Liu 002 (Eng. Appl. Artif. Intell., 2024)

AI-Assisted Fluid-Structure Modeling and Optimization of Pump-Jet Propulsor. - Yichen Hao; Linsheng Xia; Chao Bian 007; Zhendong Guo; Xiaofang Wang; Haitao Liu 002 (CEC, 2025)

Generative Multi-Form Bayesian Optimization. - Zhendong Guo; Haitao Liu 002; Yew-Soon Ong; Xinghua Qu; Yuzhe Zhang; Jianmin Zheng (CoRR, 2025)