Haitao Liu - RankMe

33 papers A* 1B 1Journal 31

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	AI-Assisted Fluid-Structure Modeling and Optimization of Pump-Jet Propulsor. CEC Yichen Hao, Linsheng Xia, Chao Bian, Zhendong Guo, Xiaofang Wang, Haitao Liu
2025	J	`jnl`	Co-Learning Bayesian Optimization. CoRR Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
2025	J	`jnl`	Generative Multi-Form Bayesian Optimization. CoRR Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
2024	J	`jnl`	A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting the key monitoring parameters of gas turbine. Eng. Appl. Artif. Intell. Changjun Liu, Xiaofang Wang, Xiaomo Jiang, Yongfeng Sui, Shiduo Cao, Chao Qi, Haitao Liu
2024	J	`jnl`	An efficient mixed constrained Bayesian optimization for handling known and unknown constraints. Adv. Eng. Informatics Chao Bian, Qinglong Liu, Xuan Zhang, Binbin Yan, Xiaofang Wang, Siyuan Zuo, Haitao Liu
2024	J	`jnl`	Transfer condition assessment of gas turbines via double multi-task Gaussian process. Adv. Eng. Informatics Shiduo Cao, Changjun Liu, He Xu, Xiaomo Jiang, Xuan Zhang, Binbin Yan, Chao Qi, Xiaofang Wang, Haitao Liu
2023	J	`jnl`	Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo
2023	J	`jnl`	Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
2023	J	`jnl`	Learning Multitask Gaussian Process Over Heterogeneous Input Domains. IEEE Trans. Syst. Man Cybern. Syst. Haitao Liu, Kai Wu, Yew-Soon Ong, Chao Bian, Xiaomo Jiang, Xiaofang Wang
2022	J	`jnl`	Co-Learning Bayesian Optimization. IEEE Trans. Cybern. Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
2022	J	`jnl`	Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2022	J	`jnl`	Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2022	J	`jnl`	Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. IEEE Trans. Cybern. Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen
2022	J	`jnl`	Scalable multi-task Gaussian processes with neural embedding of coregionalization. Knowl. Based Syst. Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang
2021	J	`jnl`	Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems. CoRR Haitao Liu, Changjun Liu, Xiaomo Jiang, Xudong Chen, Shuhua Yang, Xiaofang Wang
2021	J	`jnl`	Large-Scale Heteroscedastic Regression via Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. Haitao Liu, Yew-Soon Ong, Jianfei Cai
2021	J	`jnl`	Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2021	J	`jnl`	Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization. CoRR Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang
2020	J	`jnl`	Deep Latent-Variable Kernel Learning. CoRR Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2020	J	`jnl`	Modulating Scalable Gaussian Processes for Expressive Statistical Learning. CoRR Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
2020	J	`jnl`	When Gaussian Process Meets Big Data: A Review of Scalable GPs. IEEE Trans. Neural Networks Learn. Syst. Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai
2019	J	`jnl`	Fast transfer Gaussian process regression with large-scale sources. Knowl. Based Syst. Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu
2019	J	`jnl`	Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. CoRR Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen
2019	J	`jnl`	Understanding and comparing scalable Gaussian process regression for big data. Knowl. Based Syst. Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang
2018	J	`jnl`	Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. Eng. Appl. Artif. Intell. Haitao Liu, Yew-Soon Ong, Jianfei Cai, Yi Wang
2018	A*	`conf`	Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. ICML Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong
2018	J	`jnl`	Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. CoRR Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong
2018	J	`jnl`	Large-scale Heteroscedastic Regression via Gaussian Process. CoRR Haitao Liu, Yew-Soon Ong, Jianfei Cai
2018	J	`jnl`	Remarks on multi-output Gaussian process regression. Knowl. Based Syst. Haitao Liu, Jianfei Cai, Yew-Soon Ong
2018	J	`jnl`	Understanding and Comparing Scalable Gaussian Process Regression for Big Data. CoRR Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang
2018	J	`jnl`	When Gaussian Process Meets Big Data: A Review of Scalable GPs. CoRR Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai
2017	J	`jnl`	An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error. Comput. Chem. Eng. Haitao Liu, Jianfei Cai, Yew-Soon Ong
2015	J	`jnl`	Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces. J. Glob. Optim. Haitao Liu, Shengli Xu, Ying Ma, Xiaofang Wang