Hao Wang

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Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Michael EmmerichAssociate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AIVerified email at liacs.nl
Carola DoerrCNRS researcher at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
Bas van SteinLeiden UniversityVerified email at liacs.leidenuniv.nl
Furong YePhD student, Leiden UniversityVerified email at liacs.leidenuniv.nl
Diederick VermettenLeiden UniversityVerified email at liacs.leidenuniv.nl
Sander van RijnPhD Student LIACSVerified email at liacs.leidenuniv.nl
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Wojtek KowalczykAssistant Professor, LIACS, Leiden University Verified email at liacs.leidenuniv.nl
Ofer M. ShirAssociate Professor of Computer Science, Tel-Hai College, Upper Galilee, IsraelVerified email at alumni.Princeton.EDU
Christian GrimmeDepartment of Information Systems, University of Münster, GermanyVerified email at uni-muenster.de
Anna V KononovaLIACS, Leiden UniversityVerified email at liacs.leidenuniv.nl
Kaifeng YangPostdoc, University of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
M.R. TannemaatLeids Universitair Medisch CentrumVerified email at lumc.nl
VJ GeraedtsLeiden University Medical CenterVerified email at lumc.nl
Bernhard SendhoffHonda Research Institute EuropeVerified email at honda-ri.de
Matthijs van LeeuwenAssociate Professor, Leiden UniversityVerified email at liacs.leidenuniv.nl
Fabio CaraffiniDe Montfort UniversityVerified email at email.dmu.ac.uk

Hao Wang

Assistant Professor in Leiden University

Verified email at liacs.leidenuniv.nl - Homepage

Evolutionary Computation Gaussian Process Benchmarking Multi-Objective Optimization Variational Quantum Algorithms


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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	52	2017
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	49	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	39	2016
Optimally weighted cluster kriging for big data regression B Stein, H Wang, W Kowalczyk, T Bäck, M Emmerich International symposium on intelligent data analysis, 310-321, 2015	37	2015
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	35	2020
Benchmarking discrete optimization heuristics with IOHprofiler C Doerr, F Ye, N Horesh, H Wang, OM Shir, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019	34	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	34	2018
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	34	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 50 (5), 2186-2196, 2018	22	2018
Bayesian performance analysis for black-box optimization benchmarking B Calvo, OM Shir, J Ceberio, C Doerr, H Wang, T Bäck, JA Lozano Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019	21	2019
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	20	2019
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	20	2018
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	20	2017
Automated Machine Learning for EEG-Based Classification of Parkinson’s Disease Patients M Koch, V Geraedts, H Wang, M Tannemaat, T Bäck 2019 IEEE International Conference on Big Data (Big Data), 4845-4852, 2019	18	2019
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	18	2017
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	18	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	17	2018
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	17	2018
Evolution Strategies M Emmerich, OM Shir, H Wang Handbook of Heuristics, 1-31, 2018	17	2018
Automatic configuration of deep neural networks with EGO B van Stein, H Wang, T Bäck arXiv preprint arXiv:1810.05526, 2018	16	2018

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