Haitao Liu (刘海涛)

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Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief ScientistVerified email at ntu.edu.sg
Jianfei CaiProfessor of Data Science & AI, Monash UniversityVerified email at monash.edu
徐胜利 (Shengli Xu)大连理工大学Verified email at dlut.edu.cn
Xiaobo ShenNanjing University of Science and TechnologyVerified email at njust.edu.cn
Xiaomo JiangDalian University of TechnologyVerified email at dlut.edu.cn
Yi WangAI Technical Specialist at Rolls-RoyceVerified email at Rolls-Royce.com
Zhendong Guo(郭振东)Xi'an Jiaotong University(西安交通大学)Verified email at xjtu.edu.cn
Jaime Rubio HervasResearch Fellow, Nanyang Technological UniversityVerified email at ntu.edu.sg
Bingshui DaNanyang Technological UniversityVerified email at e.ntu.edu.sg
Liang FengChongqing UniversityVerified email at cqu.edu.cn
Abhishek GuptaAgency for Science, Technology and Research (A*STAR) SingaporeVerified email at simtech.a-star.edu.sg
Ziwei YuNational University of Singapore SoC Ph.D StudentVerified email at u.nus.edu
luo jianpingshenzhen universityVerified email at szu.edu.cn
Zhenkun Wang （王振坤）Southern University of Science and Technology (SUSTech)Verified email at sustech.edu.cn
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
Xinghua QuBytedance AI Lab, SingaporeVerified email at bytedance.com
Jianmin ZhengSchool of Computer Science and Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Jinguang YangDalian University of TechnologyVerified email at dlut.edu.cn
Adil MalikHarbin Engineering University, National University of Science and TechnologyVerified email at hrbeu.edu.cn

Haitao Liu (刘海涛)

Associate Professor, Dalian University of Technology

Verified email at dlut.edu.cn - Homepage

Gaussian Process Deep Learning Active learning Multi-task learning Design & Optimization


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When Gaussian process meets big data: A review of scalable GPs H Liu, YS Ong, X Shen, J Cai IEEE transactions on neural networks and learning systems 31 (11), 4405-4423, 2020	502	2020
A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design H Liu, YS Ong, J Cai Structural and Multidisciplinary Optimization 57, 393-416, 2018	275	2018
Remarks on multi-output Gaussian process regression H Liu, J Cai, YS Ong Knowledge-Based Systems, 1-20, 2018	165	2018
A robust error-pursuing sequential sampling approach for global metamodeling based on voronoi diagram and cross validation S Xu, H Liu, X Wang, X Jiang Journal of Mechanical Design 136 (7), 071009, 2014	98	2014
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error H Liu, J Cai, YS Ong Computers & Chemical Engineering 106, 171-182, 2017	87	2017
Generalized robust Bayesian committee machine for large-scale Gaussian process regression H Liu, J Cai, Y Wang, YS Ong International Conference on Machine Learning, 3131-3140, 2018	77	2018
An adaptive Bayesian sequential sampling approach for global metamodeling H Liu, S Xu, Y Ma, X Chen, X Wang Journal of Mechanical Design 138 (1), 011404, 2016	58	2016
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method H Liu, YS Ong, J Cai, Y Wang Engineering Applications of Artificial Intelligence, 211-225, 2017	50	2017
Optimal weighted pointwise ensemble of radial basis functions with different basis functions H Liu, S Xu, X Wang, J Meng, S Yang AIAA Journal 54 (10), 3117-3133, 2016	45	2016
Constrained global optimization via a DIRECT-type constraint-handling technique and an adaptive metamodeling strategy H Liu, S Xu, X Chen, X Wang, Q Ma Structural and Multidisciplinary Optimization 55, 155-177, 2017	34	2017
Sequential sampling designs based on space reduction H Liu, S Xu, X Wang Engineering Optimization 47 (7), 867-884, 2015	33	2015
A global optimization algorithm for simulation-based problems via the extended DIRECT scheme H Liu, S Xu, X Wang, J Wu, Y Song Engineering Optimization 47 (11), 1441-1458, 2015	32	2015
Fast Transfer Gaussian Process Regression with Large-Scale Sources B Da, YS Ong, A Gupta, L Feng, H Liu Knowledge-Based Systems, 2018	20	2018
An adaptive RBF-HDMR modeling approach under limited computational budget H Liu, JR Hervas, YS Ong, J Cai, Y Wang Structural and Multidisciplinary Optimization 57, 1233-1250, 2018	20	2018
Large-scale heteroscedastic regression via Gaussian process H Liu, YS Ong, J Cai IEEE transactions on neural networks and learning systems 32 (2), 708-721, 2020	19	2020
Understanding and comparing scalable Gaussian process regression for big data H Liu, J Cai, YS Ong, Y Wang Knowledge-Based Systems 164, 324-335, 2019	18	2019
Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces H Liu, S Xu, Y Ma, X Wang Journal of Global optimization 63 (2), 229-251, 2015	16	2015
A multi-response adaptive sampling approach for global metamodeling H Liu, S Xu, X Wang, S Yang, J Meng Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018	15	2018
Sampling strategies and metamodeling techniques for engineering design: comparison and application H Liu, S Xu, X Wang Turbo Expo: Power for Land, Sea, and Air 49712, V02CT45A019, 2016	15	2016
Generalized radial basis function-based high-dimensional model representation handling existing random data H Liu, X Wang, S Xu Journal of Mechanical Design 139 (1), 011404, 2017	11	2017

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