Hao Wang - Google Scholar

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	All	Since 2015
Citations	303	303
h-index	10	10
i10-index	12	12

120

201620172018201920207 25 61 120 87

Co-authors

Thomas BäckProfessor of Computer Science, Leiden UniversityVerified email at liacs.leidenuniv.nl
Michael EmmerichAssociate Professor, LIACS, Leiden University & Jyväskyla University, Visiting ResearcherVerified email at liacs.nl
Bas van SteinLeiden UniversityVerified email at liacs.leidenuniv.nl
Carola DoerrCNRS researcher at Sorbonne UniversityVerified email at mpi-inf.mpg.de
Sander van RijnPhD Student LIACSVerified email at liacs.leidenuniv.nl
Furong YePhD student, Leiden UniversityVerified email at liacs.leidenuniv.nl
Wojtek KowalczykAssistant Professor, LIACS, Leiden University Verified email at liacs.leidenuniv.nl
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Heike TrautmannProfessor of Statistics, Department of Information Systems, University of Münster, GermanyVerified email at wi.uni-muenster.de
Pascal KerschkeUniversity of MünsterVerified email at uni-muenster.de
Christian GrimmeDepartment of Information Systems, University of Münster, GermanyVerified email at uni-muenster.de
Kaifeng YangPostdoc, University of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
Matthijs van LeeuwenAssociate Professor Data Mining, Leiden UniversityVerified email at liacs.leidenuniv.nl
Dr. Ofer M. ShirHead, Department of Computer Science, Tel-Hai College, Upper Galilee, IsraelVerified email at alumni.Princeton.EDU
Carlos M. FonsecaDepartment of Informatics Engineering, University of CoimbraVerified email at dei.uc.pt
Oliver SchutzeCINVESTAV-IPNVerified email at cs.cinvestav.mx
Víctor Adrián Sosa HernándezITESM-CEMVerified email at tec.mx
Aske PlaatArtificial Intelligence, Leiden UniversityVerified email at liacs.leidenuniv.nl
Bernhard SendhoffHonda Research Institute EuropeVerified email at honda-ri.de
Milan KochVerified email at bmw.de

Hao Wang

Postdoc in Sorbonne Université

Verified email at lip6.fr

Evolutionary Computation Gaussian Process/Kriging Multi-Objective Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A multicriteria generalization of bayesian global optimization M Emmerich, K Yang, A Deutz, H Wang, CM Fonseca Advances in Stochastic and Deterministic Global Optimization, 229-242, 2016	31	2016
Optimally weighted cluster kriging for big data regression B van Stein, H Wang, W Kowalczyk, T Bäck, M Emmerich International Symposium on Intelligent Data Analysis, 310-321, 2015	24	2015
Towards analyzing multimodality of continuous multiobjective landscapes P Kerschke, H Wang, M Preuss, C Grimme, A Deutz, H Trautmann, ... International Conference on Parallel Problem Solving from Nature, 962-972, 2016	23	2016
Evolving the structure of evolution strategies S van Rijn, H Wang, M van Leeuwen, T Bäck 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016	20	2016
A new acquisition function for Bayesian optimization based on the moment-generating function H Wang, B van Stein, M Emmerich, T Back 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017	19	2017
Algorithm configuration data mining for cma evolution strategies S van Rijn, H Wang, B van Stein, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 737-744, 2017	17	2017
Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization H Wang, M Emmerich, T Bäck 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018	12	2018
Time complexity reduction in efficient global optimization using cluster kriging H Wang, B van Stein, M Emmerich, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 889-896, 2017	12	2017
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1+ λ) EA variants on onemax and leadingones C Doerr, F Ye, S Van Rijn, H Wang, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 951-958, 2018	11	2018
Mirrored orthogonal sampling with pairwise selection in evolution strategies H Wang, M Emmerich, T Bäck Proceedings of the 29th Annual ACM Symposium on Applied Computing, 154-156, 2014	11	2014
Search dynamics on multimodal multiobjective problems P Kerschke, H Wang, M Preuss, C Grimme, AH Deutz, H Trautmann, ... Evolutionary computation 27 (4), 577-609, 2019	10	2019
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics C Doerr, H Wang, F Ye, S van Rijn, T Bäck arXiv preprint arXiv:1810.05281, 2018	10	2018
Automatic configuration of deep neural networks with EGO B van Stein, H Wang, T Bäck arXiv preprint arXiv:1810.05526, 2018	9	2018
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. arXiv e-prints: 1810.05281 (Oct C Doerr, H Wang, F Ye, S van Rijn, T Bäck arXiv preprint arXiv:1810.05281, 2018	9	2018
Hypervolume indicator gradient ascent multi-objective optimization H Wang, A Deutz, T Bäck, M Emmerich International Conference on Evolutionary Multi-Criterion Optimization, 654-669, 2017	9	2017
Towards data driven process control in manufacturing car body parts B Van Stein, M Van Leeuwen, H Wang, S Purr, S Kreissl, J Meinhardt, ... 2016 International Conference on Computational Science and Computational …, 2016	9	2016
The Set-Based Hypervolume Newton Method for Bi-Objective Optimization VAS Hernández, O Schütze, H Wang, A Deutz, M Emmerich IEEE transactions on cybernetics, 2018	6	2018
On steering dominated points in hypervolume indicator gradient ascent for Bi-objective optimization H Wang, Y Ren, A Deutz, M Emmerich NEO 2015, 175-203, 2017	6	2017
Balancing risk and expected gain in kriging-based global optimization H Wang, M Emmerich, T Back 2016 IEEE Congress on Evolutionary Computation (CEC), 719-727, 2016	6	2016
Cluster-based Kriging approximation algorithms for complexity reduction B van Stein, H Wang, W Kowalczyk, M Emmerich, T Bäck Applied Intelligence 50 (3), 778-791, 2020	5	2020

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