Hao Wang

Orcid: 0000-0002-4933-5181

Affiliations:
  • Sorbonne University, CNRS, LIP6, Paris, France
  • University of Leiden, Netherlands


According to our database1, Hao Wang authored at least 97 papers between 2014 and 2024.

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Bibliography

2024
Large-scale Benchmarking of Metaphor-based Optimization Heuristics.
CoRR, 2024

2023
Classification-based process parameter recommendation in sheet metal forming.
J. Ind. Inf. Integr., August, 2023

Evolutionary Algorithms for Parameter Optimization - Thirty Years Later.
Evol. Comput., 2023

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models.
CoRR, 2023

Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis.
CoRR, 2023

Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Application of quantum-inspired generative models to small molecular datasets.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset.
Dataset, January, 2022

IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics.
ACM Trans. Evol. Learn. Optim., 2022

Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.
IEEE Trans. Evol. Comput., 2022

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.
CoRR, 2022

Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points.
CoRR, 2022

A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Benchmarking and analyzing iterative optimization heuristics with IOH profiler.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
IOHanalyzer version 0.1.6.1 + example datasets.
Dataset, October, 2021

Data sets for the study "Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.".
Dataset, May, 2021

IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics.
CoRR, 2021

Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants.
CoRR, 2021

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization.
Comput. Oper. Res., 2021

Temporal convolutional autoencoder for unsupervised anomaly detection in time series.
Appl. Soft Comput., 2021

Bayesian neural architecture search using a training-free performance metric.
Appl. Soft Comput., 2021

Is there anisotropy in structural bias?
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A new acquisition function for robust Bayesian optimization of unconstrained problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Explorative data analysis of time series based algorithm features of CMA-ES variants.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Quantifying the impact of boundary constraint handling methods on differential evolution.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Tabu-Driven Quantum Neighborhood Samplers.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

On Statistical Analysis of MOEAs with Multiple Performance Indicators.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Experimental Results for the study "A Modular Hybridization of Particle Swarm Optimization and Differential Evolution".
Dataset, May, 2020

Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability".
Dataset, April, 2020

Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability".
Dataset, April, 2020

The Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm withConfigurable Crossover Probability".
Dataset, April, 2020

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.
Dataset, February, 2020

The Set-Based Hypervolume Newton Method for Bi-Objective Optimization.
IEEE Trans. Cybern., 2020

Squirrel: A Switching Hyperparameter Optimizer.
CoRR, 2020

IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic.
CoRR, 2020

Benchmarking discrete optimization heuristics with IOHprofiler.
Appl. Soft Comput., 2020

Cluster-based Kriging approximation algorithms for complexity reduction.
Appl. Intell., 2020

Towards Data-driven Services in Vehicles.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Neural Network Design: Learning from Neural Architecture Search.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Can Compact Optimisation Algorithms Be Structurally Biased?
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Classification-based Solution For Recommending Process Parameters of Production Processes Without Quality Measures.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Integrated vs. sequential approaches for selecting and tuning CMA-ES variants.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A modular hybridization of particle swarm optimization and differential evolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Can Single Solution Optimisation Methods Be Structurally Biased?
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies.
Evol. Comput., 2019

Search Dynamics on Multimodal Multiobjective Problems.
Evol. Comput., 2019

Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES.
CoRR, 2019

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
Proceedings of the Advances in Data Mining, 2019

Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2019

Bayesian performance analysis for black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the potential of evolution strategies for neural network weight optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Evolution Strategies.
Proceedings of the Handbook of Heuristics., 2018

Automatic Configuration of Deep Neural Networks with EGO.
CoRR, 2018

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.
CoRR, 2018

A Novel Uncertainty Quantification Method for Efficient Global Optimization.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Machine Learning for Predicting the Damaged Parts of a Low Speed Vehicle Crash.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Ranking empirical cumulative distribution functions using stochastic and pareto dominance.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A new acquisition function for Bayesian optimization based on the moment-generating function.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning.
Proceedings of the Quantum Technology and Optimization Problems, 2017

Algorithm configuration data mining for CMA evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Time complexity reduction in efficient global optimization using cluster kriging.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Hypervolume Indicator Gradient Ascent Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Evolving the structure of Evolution Strategies.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

SMS-EMOA with multiple dynamic reference points.
Proceedings of the 12th International Conference on Natural Computation, 2016

Fuzzy clustering for Optimally Weighted Cluster Kriging.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Balancing risk and expected gain in kriging-based global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Multicriteria Generalization of Bayesian Global Optimization.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015
On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization.
Proceedings of the NEO 2015, 2015

Optimally Weighted Cluster Kriging for Big Data Regression.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Multi-point Efficient Global Optimization Using Niching Evolution Strategy.
Proceedings of the EVOLVE, 2015

2014
Mirrored orthogonal sampling with pairwise selection in evolution strategies.
Proceedings of the Symposium on Applied Computing, 2014


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