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Haitao Liu 0002
Person information
- affiliation: Dalian University of Technology, School of Energy and Power Engineering, Dalian, China
Other persons with the same name
- Haitao Liu (aka: Hai-Tao Liu) — disambiguation page
- Haitao Liu 0001
— Zhejiang University, Department of Linguistics, Hangzhou, China
- Haitao Liu 0003
- Haitao Liu 0004
- Haitao Liu 0005 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Shanghai, China
- Haitao Liu 0006
- Haitao Liu 0007
- Haitao Liu 0008
- Haitao Liu 0009
- Haitao Liu 0010
- Haitao Liu 0011
- Haitao Liu 0012
- Haitao Liu 0013
- Haitao Liu 0014
- Haitao Liu 0015 — China Telecom Research Institute, 6G Research Center, Beijing, China
- Haitao Liu 0016
- Haitao Liu 0017 — Guangxi Artificial Intelligence and Big Data Applying Institute, Nanning, China (and 1 more)
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2020 – today
- 2024
- [j19]Chao Bian
An efficient mixed constrained Bayesian optimization for handling known and unknown constraints. Adv. Eng. Informatics 62: 102704 (2024) - [j18]Shiduo Cao, Changjun Liu, He Xu, Xiaomo Jiang, Xuan Zhang, Binbin Yan, Chao Qi, Xiaofang Wang, Haitao Liu:
Transfer condition assessment of gas turbines via double multi-task Gaussian process. Adv. Eng. Informatics 62: 102782 (2024) - [j17]Changjun Liu
A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting the key monitoring parameters of gas turbine. Eng. Appl. Artif. Intell. 138: 109400 (2024) - 2023
- [j16]Zhenkun Wang
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 483-496 (2023) - [j15]Zhendong Guo
Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. 53(7): 4347-4360 (2023) - [j14]Haitao Liu
Learning Multitask Gaussian Process Over Heterogeneous Input Domains. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6232-6244 (2023) - 2022
- [j13]Haitao Liu
Scalable multi-task Gaussian processes with neural embedding of coregionalization. Knowl. Based Syst. 247: 108775 (2022) - [j12]Haitao Liu
Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. IEEE Trans. Cybern. 52(7): 5842-5854 (2022) - [j11]Zhendong Guo
Co-Learning Bayesian Optimization. IEEE Trans. Cybern. 52(9): 9820-9833 (2022) - [j10]Haitao Liu
Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. 52(10): 10276-10289 (2022) - [i10]Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR abs/2202.12636 (2022) - 2021
- [j9]Haitao Liu
Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. 120: 108121 (2021) - [j8]Haitao Liu
Large-Scale Heteroscedastic Regression via Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 32(2): 708-721 (2021) - [i9]Haitao Liu, Changjun Liu, Xiaomo Jiang, Xudong Chen, Shuhua Yang, Xiaofang Wang:
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems. CoRR abs/2106.05848 (2021) - [i8]Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang:
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization. CoRR abs/2109.09261 (2021) - 2020
- [j7]Haitao Liu
When Gaussian Process Meets Big Data: A Review of Scalable GPs. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4405-4423 (2020) - [i7]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. CoRR abs/2005.08467 (2020) - [i6]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating Scalable Gaussian Processes for Expressive Statistical Learning. CoRR abs/2008.12922 (2020)
2010 – 2019
- 2019
- [j6]Haitao Liu, Jianfei Cai
Understanding and comparing scalable Gaussian process regression for big data. Knowl. Based Syst. 164: 324-335 (2019) - [j5]Bingshui Da, Yew-Soon Ong
Fast transfer Gaussian process regression with large-scale sources. Knowl. Based Syst. 165: 208-218 (2019) - [i5]Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen:
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. CoRR abs/1909.06541 (2019) - 2018
- [j4]Haitao Liu, Yew-Soon Ong
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. Eng. Appl. Artif. Intell. 67: 211-225 (2018) - [j3]Haitao Liu, Jianfei Cai
Remarks on multi-output Gaussian process regression. Knowl. Based Syst. 144: 102-121 (2018) - [c1]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. ICML 2018: 3137-3146 - [i4]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. CoRR abs/1806.00720 (2018) - [i3]Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. CoRR abs/1807.01065 (2018) - [i2]Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang:
Understanding and Comparing Scalable Gaussian Process Regression for Big Data. CoRR abs/1811.01159 (2018) - [i1]Haitao Liu, Yew-Soon Ong, Jianfei Cai:
Large-scale Heteroscedastic Regression via Gaussian Process. CoRR abs/1811.01179 (2018) - 2017
- [j2]Haitao Liu, Jianfei Cai
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error. Comput. Chem. Eng. 106: 171-182 (2017) - 2015
- [j1]Haitao Liu, Shengli Xu, Ying Ma, Xiaofang Wang:
Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces. J. Glob. Optim. 63(2): 229-251 (2015)
Coauthor Index
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