Hao Wang
Cited by
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Temporal convolutional autoencoder for unsupervised anomaly detection in time series
M Thill, W Konen, H Wang, T Bäck
Applied Soft Computing 112, 107751, 2021
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
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
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
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
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
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
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
Towards analyzing multimodality of continuous multiobjective landscapes
P Kerschke, H Wang, M Preuss, C Grimme, A Deutz, H Trautmann, ...
Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016
Performance comparison of optimization methods on variational quantum algorithms
X Bonet-Monroig, H Wang, D Vermetten, B Senjean, C Moussa, T Bäck, ...
Physical Review A 107 (3), 032407, 2023
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics
H Wang, D Vermetten, F Ye, C Doerr, T Bäck
ACM Transactions on Evolutionary Learning and Optimization 2 (1), 1-29, 2022
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
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
Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson’s Disease
VJ Geraedts, M Koch, MF Contarino, HAM Middelkoop, H Wang, ...
Clinical Neurophysiology 132 (5), 1041-1048, 2021
Hypervolume indicator gradient ascent multi-objective optimization
H Wang, A Deutz, T Bäck, M Emmerich
Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017
Evolution Strategies
M Emmerich, OM Shir, H Wang
Handbook of Heuristics, 1-31, 2018
Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization
B van Stein, H Wang, T Bäck
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
High dimensional Bayesian optimization assisted by principal component analysis
E Raponi, H Wang, M Bujny, S Boria, C Doerr
Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020
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
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
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